Llms.txt
This MCP server, developed by TerminalMan, provides integration with the Awesome-llms-txt project for adding documentation directly into conversations. Built with Python and leveraging the MCP framework, it offers a standardized interface for AI models to access and incorporate relevant documentation snippets. The implementation focuses on enhancing AI-assisted conversations with contextual information, enabling use cases such as improved technical support, more accurate code explanations, and enriched educational dialogues. By connecting AI models with curated documentation resources, this server allows for sophisticated information retrieval scenarios, particularly useful for applications and AI assistants that require quick access to specific documentation during interactions.
Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately. Last scanned 2026-09-28.
Scan details: Circle-IR · 2026-09-28 · Appeal
View full trust & usage report →Metadata
- Version
- 1.0.0
- Skill type
- atomic
- Execution layer
- mcp-remote
- Category
- ai-ml
- Source
- PulseMCP
- Repository
- github.com/secretiveshell/mcp-llms-txt
- Author type
- human
- Last scanned
- 2026-09-28
- Updated
- 2026-09-28
Use via MCP
Resolve Llms.txt 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.