Library Docs MCP Server
Server Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Instructions
Guidance the server publishes about itself, which clients place ahead of the tool catalog so the model reads it before choosing anything.
This server publishes no instructions, or was last inspected before Glama recorded them.
Capabilities
Server capabilities have not been inspected yet.
Tools
Functions exposed to the LLM to take actions
| Name | Description |
|---|---|
| get_docsC | |
Prompts
Interactive templates invoked by user choice
| Name | Description |
|---|---|
No prompts | |
Resources
Contextual data attached and managed by the client
| Name | Description |
|---|---|
No resources | |
TDQS
Scored across 1 tool
With only one tool, there is no possibility of confusion or overlap between tools. The tool has a single, clear purpose: searching documentation for specific libraries.
The single tool name 'get_docs' follows a clear verb_noun pattern, making it predictable and readable. There are no other tools to compare against, so consistency is inherently perfect.
A single tool for a documentation search server feels too thin for the apparent scope, which involves multiple libraries (langchain, llama-index, mcp, openai). This minimal set may limit functionality and force agents to rely heavily on this one tool for all tasks.
The tool surface is severely incomplete for a documentation server. While it supports search, there are obvious gaps such as listing available libraries, browsing documentation sections, or getting metadata about docs. This will likely cause agent failures when more nuanced interactions are needed.