MCP to explore websites with llms.txt files

An MCP server that provides LLMs access to other LLMs

Open Source Implementation of Karpathy's LLM Wiki. Upload documents, connect your Claude account via MCP, and have it write your wiki !

Expose llms-txt to IDEs for development

The Privacy Firewall for LLMs

Lightweight Long-Term Memory for LLM Agents.

LLM-powered OpenFOAM MCP server for intelligent CFD education with Socratic questioning and expert error resolution

Context7 Platform -- Up-to-date code documentation for LLMs and AI code editors

An MCP server implementation enabling LLMs to work with new APIs and frameworks

docx ↔ LLM translator. Projects .docx office files to Markdown for editing. Projects edits back to OOXML as tracked changes (redlines). Python and Node.js implementations.

SimpleMem: Efficient Lifelong Memory for LLM Agents — Text & Multimodal

A MCP server to allow the LLM in Cursor to access Rust Analyzer, Crate Docs and Cargo Commands.

MCP server that gives any LLM its own computer — managed Docker workspaces with live browser, terminal, code execution, document skills, and autonomous sub-agents. Self-hosted, open-source, pluggable into any model.

All-in-One Multimodal Parsing Engine + Ontology-Powered, LLM Wiki-Driven AI-Ready Knowledge Engine

A Model Context Protocol (MCP) server that retrieves information from Wikipedia to provide context to LLMs.

A MCP server that supports mainstream eBook formats including EPUB, PDF and more. Simplify your eBook user experience with LLM.

CTX: a tool that solves the context management gap when working with LLMs like ChatGPT or Claude. It helps developers organize and automatically collect information from their codebase into structured documents that can be easily shared with AI assistants.

Shell and coding agent on mcp clients

Official Microsoft Learn MCP Server and CLI tool – powering LLMs and AI agents with real-time, trusted Microsoft docs & code samples.

Your First LLM-Wiki Conversation Knowledge Base

Conversion from Excel to structured JSON (tables, shapes, charts) for LLM/RAG pipelines, and autonomous Excel reading/writing by AI agents via CLI and MCP integration.

Own your LLM's web search: a local search->fetch->rank pipeline that replaces hosted web-search tools. Measured: matches hosted accuracy at 66% lower cost and up to 88% fewer tokens, plus a precision-tuned semantic caching with query-dependant TTL that no API offers.

MCP server for enabling LLM applications to perform deep research via the MCP protocol

🔥 Official Firecrawl MCP Server - Adds powerful web scraping and search to Cursor, Claude and any other LLM clients.