The FluxDown server provides a Model Context Protocol (MCP) endpoint, enabling AI agents to fully manage downloads programmatically:
Add downloads (download_add): Create tasks from HTTP/HTTPS, FTP, magnet links, or BitTorrent URLs, with options for save directory, file name, segments, cookies, referrer, user agent, proxy, checksum, and queue assignment.
List downloads (download_list): Retrieve all tasks or filter by status (all, pending, downloading, paused, completed, error, preparing), including progress, speed, and status details.
Get a specific download (download_get): Fetch detailed information about a single task by its ID.
Pause/Resume a task (download_pause, download_resume): Control a specific download by ID.
Pause/Resume all tasks (download_pause_all, download_resume_all): Batch control over all active or paused tasks at once.
Remove a task (download_remove): Delete a task by ID, with an option to also erase the downloaded files from disk.
List queues (queue_list): View all named queues and their configurations (concurrency limits, speed caps, default directories).
Allows adding, monitoring, and managing BitTorrent and magnet link downloads via the MCP server.
A blazing fast, multi-protocol download manager — the free & open-source IDM alternative.
Website · Download · Changelog · FAQ · Feedback
English | 简体中文
Up to 10x faster — Rust + Tokio engine with IDM-style dynamic segmentation
Multi-protocol — HTTP/HTTPS, FTP, BitTorrent, eD2K, HLS & DASH streaming
Browser integration — Chrome / Edge / Firefox extension with a 3-layer interception engine
AI-agent ready — built-in MCP (Model Context Protocol) server: let Claude, Cursor & other AI clients manage your downloads
Resume anywhere — full download state persisted in SQLite; survive crashes and reboots
Beautiful UI — light/dark themes, 13 color schemes, responsive three-pane layout
Clean & private — free and open source, no ads, no tracking, no account required, local-first
Related MCP server: unfetch
Feature | Description |
Rust-Powered Engine | Built on Rust and Tokio with zero-cost abstractions — memory-safe concurrency at maximum throughput |
Smart Segmentation | Segments split dynamically at runtime; idle threads rescue slow segments, just like IDM — but smarter |
Multi-Protocol | Dedicated engines for HTTP/HTTPS, FTP, BitTorrent (DHT/UPnP/magnet), eD2K (server + Kad DHT source finding, MD4 verification), HLS (AES-decrypt) and DASH |
Speed Control | Token-bucket global rate limiting — download in the background without killing your browsing |
Resume Anywhere | Every byte tracked in SQLite with WAL; power loss never costs you progress |
Browser Integration | Three-layer download interception, streaming media sniffing, Alt+Click bypass, right-click send |
MCP Server | Built-in Model Context Protocol endpoint (Streamable HTTP) with 12 tools — AI agents can add, monitor and control downloads |
Beautiful Interface | shadcn-style widgets, IDM-style segment visualization, named queues, system tray |
Clean & Private | Zero ads, zero telemetry lock-in, zero accounts — your data never leaves your machine |
FluxDown | IDM | |
Price | Free & open source | $24.95 + renewals |
Open source | Yes (AGPL-3.0) | No |
Platforms | Windows / macOS / Linux / NAS / Android | Windows only |
BitTorrent & magnet | Yes | No |
eD2K / eMule links | Yes | No |
HLS / DASH streaming | Yes | Partial |
Dynamic segmentation | Yes | Yes |
Browser extension | Chrome / Edge / Firefox | Yes |
Ads & tracking | None | — |
Grab the latest build from GitHub Releases or fluxdown.zerx.dev:
Platform | Packages |
Windows (x64 / ARM64) |
|
macOS (Intel / Apple Silicon) |
|
Linux (x64) |
|
Android (arm64-v8a / armeabi-v7a / x86_64) | per-ABI |
NAS / Server (headless, x64 / ARM64) | Docker · Synology DSM 6/7 |
Install the extension so FluxDown takes over browser downloads automatically:
FluxDown ships a built-in MCP server so AI agents (Claude Desktop, Cursor, Cline, …) can manage downloads via the Model Context Protocol. It speaks Streamable HTTP (JSON-RPC 2.0 over a single POST /mcp) on the local API port — no extra process needed.
Endpoint: http://127.0.0.1:17800/mcp (local-only by default)
Auth: Bearer token (Authorization: Bearer <token> or X-FluxDown-Token), shared with the management API
Enable: Settings → API Service → toggle MCP endpoint (a token is generated automatically); the headless server enables it by default
Tool | Description |
| Create a download task (HTTP/HTTPS, FTP, magnet, BitTorrent) |
| List tasks with progress/speed/status, optional status filter |
| Get a single task by ID |
| Pause / resume one task |
| Pause / resume all tasks |
| Remove a task, optionally deleting downloaded files |
| List named queues and their configuration |
| List RSS subscriptions with their configuration and runtime state |
| Subscribe to an RSS feed and start polling it on a schedule |
| Delete an RSS subscription and the items it collected |
{
"mcpServers": {
"fluxdown": {
"url": "http://127.0.0.1:17800/mcp",
"headers": { "Authorization": "Bearer <your-token>" }
}
}
}The MCP layer is implemented in native/api/src/mcp.rs on top of the same ApiHost trait that powers the REST management API and aria2-compatible JSON-RPC.
Flutter renders the UI; a zero-FFI Rust engine does the heavy lifting. The two talk through Rinf signals, and the browser extension connects via Native Messaging.
flowchart TD
EXT["Browser Extension (WXT)"] -->|Native Messaging| NMH["fluxdown_nmh"]
NMH -->|Named Pipe / Unix socket| HUB
UI["Flutter UI (shadcn_ui)"] <-->|Rinf signals| HUB["hub — FFI adapter"]
HUB --> ENGINE["fluxdown_engine"]
ENGINE --> HTTP["HTTP/HTTPS"]
ENGINE --> FTP["FTP"]
ENGINE --> BT["BitTorrent"]
ENGINE --> ED2K["eD2K"]
ENGINE --> HLS["HLS / DASH"]
ENGINE --> DB[("SQLite")]Layer | Tech | Path |
UI | Flutter + shadcn_ui | |
FFI bridge | Rinf (Dart ↔ Rust signals) | |
Download engine | Rust + Tokio (zero FFI deps) | |
Browser extension | WXT + TypeScript | |
Website | Astro + React |
Prerequisites: Flutter SDK · Rust toolchain · Rinf CLI
# Clone the development branch (main = active development, stable = stable releases)
git clone -b main https://github.com/zerx-lab/FluxDown.git
cd FluxDown
# Check your environment
rustc --version
flutter doctor
# Install the Rinf CLI (once)
cargo install rinf_cli
# Fetch dependencies & generate Dart bindings
flutter pub get
rinf gen
# Run in debug mode
flutter run
# Build a release
flutter build windows --release # or: macos / linux# Debian/Ubuntu
sudo apt-get install cmake ninja-build clang pkg-config \
libgtk-3-dev libayatana-appindicator3-dev libnotify-dev libsecret-1-dev patchelf zstd
# Arch Linux
sudo pacman -S cmake ninja clang pkgconf gtk3 libayatana-appindicator libnotify libsecret patchelf zstdThe NMH relay binary (fluxdown_nmh) is built automatically by CMake during flutter build. Distribution packages (AppImage / deb / Arch / portable) are produced by CI on every tag.
flutter test # Dart tests
cargo test -p fluxdown_engine # Rust engine tests
cargo test -p hub # FFI adapter testsBug reports / feature requests — GitHub Issues or the in-app feedback dialog
QQ Group — 832143651
Pull requests are welcome! Branch off main and target main — it is the development branch, while stable only tracks stable releases (maintainers advance it from main). Before submitting, please make sure:
cargo fmt --check && cargo clippy -- -D warnings # Rust
flutter analyze # DartSee CONTRIBUTING.md for the full workflow.
Distributed under the GNU Affero General Public License v3.0.
If FluxDown saves you time, consider giving it a Star — it helps more people discover the project.
Made by zerx-lab
新建一个下载任务。支持 HTTP/HTTPS/FTP/磁力链接/BitTorrent。返回新任务 ID。
| Name | Required | Description | Default |
|---|---|---|---|
| url | Yes | 要下载的 URL、磁力链接或 torrent 地址（必填）。 | |
| cookies | No | Cookie 字符串。 | |
| queueId | No | 命名队列 ID（空 = 默认队列）。 | |
| saveDir | No | 保存目录绝对路径（空 = 全局默认目录）。 | |
| checksum | No | 校验和，格式 algo=hexhash（空 = 跳过校验）。 | |
| fileName | No | 保存的文件名（空 = 从 URL/Content-Disposition 推断）。 | |
| proxyUrl | No | 单任务代理 URL（空 = 全局代理）。 | |
| referrer | No | Referer 头。 | |
| segments | No | 分段线程数（0 = 按文件大小自动决定）。 | |
| userAgent | No | User-Agent（空 = 全局 UA）。 |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are present, so the description must cover behavioral traits. It states the tool returns a new task ID and supports multiple protocols, implying it initiates a download. However, it does not disclose whether the download starts immediately or is queued, what happens with invalid URLs, or any other side effects. The description is adequate but lacks depth given no annotations.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single, efficient sentence that conveys the core purpose and key details upfront. It is not verbose and every part adds value, but it lacks explicit structure like bullet points or sections.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the tool has 10 parameters, many optional but specific, and no output schema, the description is too brief. It does not explain the return value format, error handling, default behaviors for optional parameters, or the significance of certain fields like checksum or segments. More context would be needed for effective use.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema description coverage is 100%, so each parameter is documented. The description adds minimal extra meaning beyond the schema, such as listing supported protocols. It does not elaborate on parameter interactions or provide examples. Baseline score of 3 is appropriate since the schema does the heavy lifting.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the tool creates a new download task, lists supported protocols (HTTP/HTTPS/FTP/Magnet/BitTorrent), and mentions the return of a new task ID. This specifically distinguishes it from sibling tools like download_get or download_pause, which handle existing tasks.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
No guidance is provided on when to use this tool versus alternatives. It does not mention prerequisites, conditions for use, or when not to use it. With sibling tools for various task operations, some usage context would be beneficial.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
按任务 ID 查询单个任务的详细信息。
| Name | Required | Description | Default |
|---|---|---|---|
| taskId | Yes | 任务 ID（必填）。 |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided. The description does not disclose any behavioral traits such as side effects, authorization needs, or rate limits. It only states the basic operation without additional context.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is extremely concise at one sentence, front-loading the key information without any fluff. Every word is necessary.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
The description lacks details on return values or output format. With no output schema, the agent needs more context about what 'detailed information' includes. The description is incomplete for a straightforward retrieval tool.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema coverage is 100% with a clear description for taskId. The tool description adds no new semantic meaning beyond referencing the parameter. For high coverage, a score of 3 is appropriate.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the verb 'query', the resource 'detailed information of a single task', and the method 'by task ID'. It differentiates from sibling tools like download_list and download_add.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description implies usage for querying a specific task but lacks explicit guidance on when to use vs siblings like download_list or when not to use. Since the tool is simple and singular, it's adequate but not informative.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
列出下载任务，可按状态过滤。返回任务数组（含进度、速度、状态等）。
| Name | Required | Description | Default |
|---|---|---|---|
| status | No | 按状态过滤（省略或 all = 全部）。 |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Description specifies that it returns an array with progress, speed, and status, clarifying the read-only nature. No annotations provided, so description carries burden. Could improve by stating no side effects.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
Two concise sentences with no superfluous text. Front-loaded with verb and resource.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a simple list tool with one optional parameter and no output schema, the description adequately covers purpose, filtering, and return structure.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Parameter semantics are fully covered by schema (100% coverage). Description adds minimal value by listing return fields but does not elaborate beyond schema.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
Description clearly states '列出下载任务' (list download tasks) and mentions filtering by status, distinguishing it from sibling tools like download_add or download_get.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
Description implies usage for listing tasks with optional status filter, but does not explicitly state when to use this tool instead of alternatives like download_get or queue_list.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
暂停指定任务。
| Name | Required | Description | Default |
|---|---|---|---|
| taskId | Yes | 任务 ID（必填）。 |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations provided. Description only states the basic action without disclosing effects like whether pausing is reversible, impact on other tasks, or error states. Minimal behavioral insight for a mutation operation.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
Extremely short (one sentence), which is concise but lacks substantive information. It is front-loaded but too terse to fully serve an AI agent's decision-making.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
No output schema exists; description does not mention return values or state changes. For a simple pause operation, it could be acceptable, but it omits details like idempotency or concurrent effects. Incomplete for an agent.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Parameter schema coverage is 100% with a simple required taskId string. The description does not add meaning beyond the schema, but for a single straightforward parameter, this is acceptable. No extra guidance on how to obtain the task ID.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
Description clearly states the action (pause) and object (specified task). It distinguishes from sibling tool download_pause_all by focusing on a single task. However, it does not explicitly mention that tasks are download-related, though context from sibling names implies it.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
No information on when to use this tool versus alternatives like download_pause_all or download_resume. The description lacks any context about prerequisites or appropriate scenarios.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
暂停全部活跃任务（pending / downloading / preparing）。
| Name | Required | Description | Default |
|---|---|---|---|
No parameters | |||
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations provided, so description must cover behavior. It specifies affected states but omits details like idempotency, impact on already paused tasks, or potential side effects.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
Single sentence, front-loaded with action and scope. No wasted words.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given zero parameters and simple action, description is largely sufficient. However, it could mention that it affects only tasks in the listed states and is reversible via 'download_resume_all'.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
No parameters exist, so description adds no parameter info, which is acceptable. Baseline 4 for zero parameters.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
Description clearly states action (pause all) and scope (active tasks with states pending/downloading/preparing). Distinguishes from siblings like 'download_pause' (single) and 'download_resume_all'.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
No explicit when-to-use or alternatives guidance. While the name and description imply bulk pausing, the description could explicitly state scenarios like 'Use when you want to stop all active downloads at once.'
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
删除指定任务，可选同时删除已下载的磁盘文件。
| Name | Required | Description | Default |
|---|---|---|---|
| taskId | Yes | 任务 ID（必填）。 | |
| deleteFiles | No | 是否同时删除磁盘文件（默认 false）。 |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
The description discloses the core behavior (deletion) and an optional destructive action (file deletion). Without annotations, it adequately conveys the main side effect but does not mention irreversibility, prerequisites, or potential impact on other tasks.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single, concise sentence that front-loads the primary action and nests the optional behavior efficiently. Every word serves purpose without redundancy.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a deletion tool with no output schema, the description covers the essential action and optional file removal. It does not mention return values or prerequisites, but these are not critical for a straightforward operation. Sibling tools provide cluster context.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema coverage is 100%, so the description's paraphrase of taskId and deleteFiles adds minimal new information. The description explains deleteFiles as 'optional delete downloaded disk files', which mirrors the schema description, thus providing no added semantic depth.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly specifies the verb '删除' (delete) and the resource '指定任务' (specified task), effectively distinguishing it from sibling tools which focus on adding, getting, listing, pausing, or resuming tasks.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description implies usage for task removal and optionally file deletion, providing clear context. However, it lacks explicit guidance on when to choose this tool over alternatives or any exclusions (e.g., cannot remove active tasks).
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
恢复指定的已暂停任务。
| Name | Required | Description | Default |
|---|---|---|---|
| taskId | Yes | 任务 ID（必填）。 |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations provided, and the description only states what the tool does without disclosing behavioral traits such as idempotency, error behavior (e.g., if task is not paused), or any side effects. Minimal transparency beyond the basic action.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
One sentence, front-loaded with the key action. It is concise but could include more context without becoming verbose. The structure is adequate.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the simplicity (1 parameter, no output schema, no annotations), the description is minimally complete. However, it lacks context about behavior with siblings like 'download_resume_all' and error states, leaving some gaps for a fully informed agent.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema coverage is 100% and the parameter 'taskId' is described in the schema as '任务 ID（必填）'. The description adds no additional meaning beyond the schema, meeting the baseline.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the action (resume) and the resource (specified paused task). It does not explicitly differentiate from the sibling 'download_resume_all', but the singular focus is implied by the name and description.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
No guidance on when to use this tool versus alternatives like 'download_resume_all' or 'download_pause'. The description only implies usage for resuming a paused task without stating conditions or exclusions.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
恢复全部已暂停任务。
| Name | Required | Description | Default |
|---|---|---|---|
No parameters | |||
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, and the description does not disclose any behavioral traits beyond the action. For a no-annotations tool, the description should indicate potential side effects or confirmation needed, but it is silent.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
Extremely concise single sentence with no wasted words. Appropriate for a no-parameter tool.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given no annotations, no output schema, and zero parameters, the description provides enough context for the basic action. Could be enhanced with notes about idempotency or scope.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
No parameters, so description does not need to add parameter context. Baseline of 4 applies.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states it resumes all paused tasks, distinguishing it from siblings like download_resume (resumes a specific task) and download_pause_all (pauses all).
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
No explicit guidance on when to use versus alternatives, but the name implies batch resuming. Lacks when-not-to-use information.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
列出全部命名队列及其配置（并发数、限速、默认目录等）。
| Name | Required | Description | Default |
|---|---|---|---|
No parameters | |||
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations provided, so description must disclose behavioral traits. It only says what the tool does (list queues) but does not mention that it is a read-only operation, any authentication needs, or potential side effects.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single sentence with no unnecessary words. It is front-loaded with the core action and resource, making it highly concise.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given no output schema and no annotations, the description provides basic information about what is returned (list of queues with config fields like concurrency, rate limit, default directory). However, it lacks details on pagination, ordering, or output format, leaving some gaps.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
There are no parameters (0 params), so schema coverage is 100% by default. The description adds no parameter information, but according to rules, 0 params baseline is 4, making this score appropriate.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the tool lists all named queues with their configurations, using a specific verb '列出' (list) and resource '全部命名队列及其配置'. It distinguishes from sibling tools, which are all download-related.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
No explicit guidance on when to use this tool versus alternatives. While no competing queue tools exist among siblings, the description lacks any context or conditions for usage.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Recent tool additions, removals, and schema changes observed during successful MCP inspections. Dates show when Glama detected each change.
download_adddownload_getdownload_listdownload_pausedownload_pause_alldownload_removedownload_resumedownload_resume_allqueue_list每个工具都有明确的用途，添加、获取、列表、暂停、恢复、删除和队列管理之间没有功能重叠，区分清晰。
大部分工具采用'download_'前缀+动词的命名模式，如download_add、download_list，但queue_list没有遵循此模式，存在轻微不一致。
9个工具覆盖了下载管理的基本操作，数量适中，既不过多也不过少，适合该服务器的用途。
提供了下载任务的完整CRUD操作及批量控制，但缺少对单个任务的高级设置（如限速、优先级调整），略有不足。
Unclaimed servers have limited discoverability.
If you are the server author, to access and configure the admin panel.
QuLab MCP remote server (Streamable HTTP) for computational science and lab tools.
MCP server for the FFmpeg Micro video transcoding API — create, monitor, download transcodes.
MCP server for secureFlows: token-free URL builders and integration-linting tools for AI agents.
Remote MCP server for Web3TV creators — manage your account over MCP.
We provide all the information about MCP servers via our MCP API.
curl -X GET 'https://glama.ai/api/mcp/v1/servers/zerx-lab/FluxDown'
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