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Auto-discovers dependency docs and exposes them to AI coding agents via MCP.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "llmsdottxt-mcp" yet — see the docs or source repo.
Use llmsdottxt-mcp to scan the current project dependencies, find available llms.txt docs, and summarize official usage patterns and caveats for each core library.
A list of discovered dependency docs plus summaries of key API usage, limitations, and best practices for each library.
Using first-party dependency docs from llmsdottxt-mcp, create an implementation plan for adding authentication middleware to an existing Node service without relying on outdated or guessed APIs.
A step-by-step implementation plan grounded in official docs, including recommended APIs, configuration guidance, and compatibility risks.
Read the llms.txt docs for the project dependencies, compare them with my current usage, and identify parameters, initialization steps, or version assumptions that do not match the official guidance.
A list of mismatches against the official docs, with the correct usage patterns or suggested fixes.
Fetch and parse llms.txt docs for dynamic AI documentation search and Q&A.
Manage remote llms.txt files with create, edit, delete, list, and retrieval.
Search external information through an MCP server for LLM-powered agents.
Search official library docs and return clean text ready for LLM use.
Enable full-text search across Markdown and MDX documentation folders.
Fetch live package docs and changelogs to avoid stale API hallucinations.