MCP Finder
Server Details
Find an MCP server for any task: searches the official registry, Smithery and npm; remote-first.
- Status
- Healthy
- Last Tested
- Transport
- Streamable HTTP
- URL
- Repository
- ux-xd/mcpfinder-mcp
- GitHub Stars
- 0
- Server Listing
- MCP Finder
Available Tools
2 toolsfind_mcpARead-onlyIdempotentInspect
Search for existing MCP servers that provide a capability (e.g. "postgres", "wayback machine", "google sheets"). Federates the official MCP Registry, Smithery (with live use counts) and npm; dedupes; ranks remote Streamable HTTP servers first. Returns name, description, remote URL or package, popularity, last update and an install snippet. Use before building or asking the user to build a tool.
| Name | Required | Description | Default |
|---|---|---|---|
| limit | No | Max results after ranking. Default 8. | |
| query | Yes | What capability you need, as 1-5 keywords (an API name, a product, a data source). Not a sentence. | |
| remote_only | No | Only servers reachable over HTTP without installing anything locally. | |
| task_context | Yes | One sentence on what the user is ultimately trying to do (the task this call serves). Required; it tunes the result and is how this free service learns what agents need. |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnlyHint, openWorldHint, idempotentHint, and destructiveHint false. The description adds meaningful behavioral context beyond these: it federates specific registries, uses live use counts from Smithery, dedupes results, and ranks remote Streamable HTTP servers first. It does not contradict 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 compact and front-loaded: a clear action sentence, followed by concrete behavioral specifics, then a usage directive. Every sentence adds value and there is no filler.
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 read-only search tool with no output schema, the description is quite complete: it names the data sources, ranking behavior, returned fields, and when to use it. It could be slightly stronger by directing the agent to mcp_details for follow-up on a specific server, but nothing essential is missing.
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 the schema already documents all four parameters with defaults, constraints, and purpose. The description adds only an example of capability phrasing, not parameter-level semantics; baseline 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 opens with a specific verb and resource: 'Search for existing MCP servers that provide a capability,' with concrete examples. It further distinguishes the tool by describing federation across MCP Registry, Smithery, and npm, deduplication, and remote-first ranking, making its discovery role unambiguous relative to the sibling mcp_details.
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 gives an explicit usage trigger: 'Use before building or asking the user to build a tool.' It does not explicitly discuss when not to use it or mention mcp_details as the alternative for follow-up detail, but the stated use case is clear enough for an agent to select it appropriately.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
mcp_detailsARead-onlyIdempotentInspect
Get one MCP server's tool list, transports and install details by its name as returned by find_mcp (registry name like "io.github.owner/server", "smithery:owner/server", or "npm:package"). Use to check a server exposes the tool you need before installing it.
| Name | Required | Description | Default |
|---|---|---|---|
| name | Yes | Exact name from find_mcp results. | |
| task_context | Yes | One sentence on what the user is ultimately trying to do (the task this call serves). Required; it tunes the result and is how this free service learns what agents need. |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnly, idempotent, and non-destructive behavior, so the bar is lower. The description adds meaningful context: task_context tunes the result, and the service uses it to learn what agents need. No contradiction with 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?
Two sentences, front-loaded with the action and result, followed by a single clear use case. Every sentence earns its place with no redundant filler.
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 two-parameter lookup tool with rich annotations and 100% schema coverage, the description fully covers what the tool returns, where the name comes from, and why the task_context parameter is required. The absence of an output schema is adequately compensated by naming the returned detail categories.
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 baseline is 3, but the description adds concrete registry name formats and clarifies that the name must come from find_mcp results. It also adds rationale for task_context beyond the schema's one-line description.
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?
States a specific verb 'Get' with a clear resource: one MCP server's tool list, transports, and install details, keyed by name. It also distinguishes itself from sibling find_mcp by referencing the registry name formats and the check-before-install use case.
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?
Explicitly says when to use it: to check whether a server exposes a needed tool before installing it. It references find_mcp as the source of the name, giving clear context, though it does not spell out when not to use it as a separate exclusion.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Tool Schema Changelog
Recent tool additions, removals, and schema changes observed during successful MCP inspections. Dates show when Glama detected each change.
2 tool updates
- First observed
find_mcp - First observed
mcp_details
Frequently Asked Questions
Claiming proves that you control a remote MCP connector. It does not move, proxy, or interrupt the server.
Open the connector listing, choose Claim ownership, and sign in to Glama.
Complete one verification method:
GitHub identity — fastest for official registry listings. For a namespace such as
io.github.alice/server, link the matching GitHub user, then choose Claim with GitHub. An organization namespace such asio.github.acme/serveralso needs that organization to have installed the Glama AI GitHub App and approved its permissions, because GitHub discloses organization membership only to apps it has installed. Use HTTP or DNS when it has not.HTTP challenge — works when you can deploy a public file. Generate a token, publish the exact JSON Glama shows at
/.well-known/glama.jsonon the same origin as the connector, then choose Check HTTP challenge.DNS challenge — works when you control DNS but cannot change the server. Generate a token, create the exact TXT record Glama shows, wait for it to propagate, then choose Check DNS challenge.
After verification, Glama sends a confirmation email and gives you access to listing details, thumbnails, health checks, and analytics. Keep the HTTP file or DNS record in place: Glama periodically checks it and ownership remains verified while the token is discoverable.
The HTTP ownership file has this structure:
{
"$schema": "https://glama.ai/mcp/schemas/connector.json",
"claim": "glama_claim_..."
}Claim tokens are opaque, stable, and bound to the signed-in Glama account. They contain no email address or other personal information. If Glama can no longer discover a verified HTTP or DNS token, it starts a seven-day grace period before removing claim-based access. Restore the same token during that period to keep ownership verified. Never publish an email address, Glama session token, GitHub token, or connector credential as ownership proof.
If verification fails, confirm that you copied the current token exactly. The HTTP file must be public, return valid JSON with a successful HTTP response, and stay on the connector's origin. DNS changes may need more time to propagate. A claim cannot transfer to a different origin or hostname: if the connector target changes, Glama starts the grace period and the new target must be claimed separately after the previous claim is released.
For a connector linked to the official MCP Registry, registry updates continue to replace its name, description, and URL by default. After claiming, open Manage connector and enable Use Glama listing details as the source of truth if edits made on Glama should be preserved. Categories and thumbnails are always managed on Glama; registry linkage and technical connection settings continue to sync.
Control your server's listing on Glama, including description and metadata
Access analytics and receive server usage reports
Get monitoring and health status updates for your server
Feature your server to boost visibility and reach more users
To improve your MCP server's ranking:
Claim ownership of the server listing
Complete the server profile with an accurate description and thumbnail
Provide a test profile so Glama can connect to and evaluate the server
Keep tool definitions clear and complete to earn a high Tool Definition Quality Score (TDQS)
Route real usage through the Glama Gateway; more recorded successful server uses also improve the ranking
For users:
Full audit trail – every tool call is logged with inputs and outputs for compliance and debugging
Granular tool control – enable or disable individual tools per connector to limit what your AI agents can do
Centralized credential management – store and rotate API keys and OAuth tokens in one place
Change alerts – get notified when a connector changes its schema, adds or removes tools, or updates tool definitions, so nothing breaks silently
For server owners:
Proven adoption – public usage metrics on your listing show real-world traction and build trust with prospective users
Tool-level analytics – see which tools are being used most, helping you prioritize development and documentation
Direct user feedback – users can report issues and suggest improvements through the listing, giving you a channel you would not have otherwise
The connector status is unhealthy when Glama is unable to successfully connect to the server. This can happen for several reasons:
The server is experiencing an outage
The URL of the server is wrong
Credentials required to access the server are missing or invalid
If you are the owner of this MCP connector and would like to make modifications to the listing, including providing test credentials for accessing the server, please contact support@glama.ai.
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Glama MCP Gateway
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TDQS
The two tools have clearly distinct roles: one searches for MCP servers, the other retrieves details for a specific server. There is no overlap or ambiguity between them.
Both names use lowercase snake_case, and find_mcp follows a clear verb_noun pattern. However, mcp_details uses noun-first phrasing rather than a verb, creating a slight inconsistency.
Two tools is minimal but appropriate for a narrowly scoped discovery server. Each tool serves a distinct and necessary purpose in the search-and-inspect workflow.
The server covers the full discovery lifecycle: finding relevant MCP servers and inspecting their capabilities before installation. There are no obvious missing operations for its stated purpose.