LLM.txt Directory
This LLM.txt MCP server, developed by mcp-get, enables AI assistants to access and search the LLM.txt Directory, a collection of structured documentation files for various APIs and services. Built in TypeScript, it provides tools for listing available LLM.txt files, retrieving their contents, and performing multi-query searches with context. The server implements local caching to improve performance and uses numeric IDs to discourage hallucination of non-existent files. By abstracting access to the LLM.txt ecosystem, this implementation allows AI models to quickly gather accurate information about APIs and services without relying on potentially outdated training data. It is particularly useful for developers and AI assistants needing up-to-date documentation for integrating or troubleshooting various software tools and platforms.
Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately.
View full trust & usage report →Metadata
- Version
- 1.0.0
- Skill type
- atomic
- Execution layer
- mcp-remote
- Category
- ai-ml
- Source
- PulseMCP
- Author type
- human
- Updated
- 2026-04-29
Use via MCP
Resolve LLM.txt Directory from your agent
Streamable HTTP transport at https://api.skillsregistry.net/mcp. No auth for read tools. Discovery: .well-known/mcp.json.
One command in your shell — Claude Code wires it up and verifies the connection. Run /mcp in any session to confirm.
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp--scope user for --scope project to commit it to .mcp.json.