Daipendency
OfficialThe Daipendency server allows you to extract documentation for project dependencies.
Extract Dependency Documentation: Retrieve both narrative and public API documentation for specified dependencies in local projects
Usage Requirements: Provide the dependency's
nameand thedependant_path(absolute path to the project)Integration: Works with the Daipendency toolchain, utilizing TypeScript and JS bindings
The server integrates with Daipendency, which is hosted on GitHub and provides documentation extraction capabilities
Daipendency itself is implemented in Rust, though the MCP server uses TypeScript with JS bindings for Daipendency
The Daipendency MCP server is implemented in TypeScript to leverage the official MCP SDKs
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@Daipendencyshow me the docs for serde version 1.0.193"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
Daipendency MCP Server
Model Context Protocol (MCP) server for Daipendency.
Install
Use npx -y @daipendency/mcp to run this MCP server with stdio.
Related MCP server: RTFD (Read The F*****g Docs)
API
Tools
get_dependency_docs
Extract narrative and API documentation for a dependency of a local project.
This is equivalent to daipendency extract-dep.
Architectural Decisions
Although Daipendency itself is implemented in Rust, this project is implemented in TypeScript so that we could use one of the official, feature-rich MCP SDKs. This required implementing JS bindings for Daipendency.
Available Tools
1 tooldependency_docs_getterC
Extract all the documentation and public API for a dependency of a local project
| Name | Required | Description | Default |
|---|---|---|---|
| name | Yes | The name of the dependency for which to extract documentation | |
| dependant_path | Yes | The absolute path to the dependant project |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations provided, the description carries the full burden of behavioral disclosure. It mentions 'extract' but does not specify how the extraction works (e.g., from local files, online sources, or cached data), what permissions are needed, or any side effects like network calls or file access. This leaves significant gaps in understanding the tool's behavior.
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, clear sentence that directly states the tool's purpose without unnecessary words or fluff. It is appropriately sized and front-loaded, making it efficient and easy to understand.
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 lack of annotations and output schema, the description is incomplete. It does not explain what the tool returns (e.g., the format of extracted documentation), potential errors, or behavioral details like rate limits or dependencies. For a tool with no structured data beyond the input schema, more context is needed to be fully helpful.
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?
The schema description coverage is 100%, meaning the input schema already documents both parameters ('name' and 'dependant_path') adequately. The description does not add any additional meaning or context beyond what the schema provides, such as examples or constraints, so it meets the baseline for high schema coverage.
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 ('extract') and the target ('documentation and public API for a dependency of a local project'), providing a specific verb+resource combination. However, since there are no sibling tools mentioned, it cannot demonstrate differentiation from alternatives, which prevents a perfect score.
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 provides no guidance on when to use this tool versus alternatives, prerequisites, or exclusions. It simply states what the tool does without context for its application, leaving the agent with no usage instructions.
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.
1 tool update
- First observed
dependency_docs_getter
TDQS
With only one tool, there is no possibility of ambiguity or overlap between tools. The tool has a single, clear purpose focused on extracting documentation and public API for a dependency.
Since there is only one tool, naming consistency is inherently perfect. The tool name 'dependency_docs_getter' follows a clear verb_noun pattern, and there are no other tools to compare it against for inconsistency.
A single tool is too few for a server named 'Daipendency', which suggests a broader scope related to dependency management. This minimal toolset feels thin and incomplete for such a domain, lacking operations like listing dependencies, checking versions, or updating dependencies.
The tool surface is severely incomplete for dependency management. While the single tool extracts documentation, there are obvious gaps: no tools to list, add, remove, or update dependencies, check for vulnerabilities, or manage version conflicts. This limits agents to a narrow, read-only task.
Maintenance
Resources
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