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lior-ps multi-LLM-cross-check-MCP-server

公开目录未提供摘要。

A simple MCP server that implements a note storage system allowing users to add and summarize notes with customizable detail levels.

LLM-experimentations

[DOC] Some experimentations with ChatGPT and IGNF APIs (french)

LLM Name

Due to the naming issue of the model providers, let's review the model names.

LLM Optimizer is an AI visibility intelligence platform. It analyzes how large language models and AI search engines perceive, cite, and recommend brands; then provides research-backed optimization strategies to improve that visibility.

LLM Playwright-web-crawler

originally was going to be an mcp server, now it's a stupid soundcloud scraper

Probe LLM API endpoints and report health metrics including time to first token, latency, and throughput.

Enables fast, token-efficient access to large documentation files in llms.txt format through semantic search. Solves token limit issues by searching first and retrieving only relevant sections instead of dumping entire documentation.

MCP server that allows AI agents to fetch and process llms.txt documentation from various sources. Fetch documentation from any HTTPS URL and automatically convert HTML content to readable markdown.

Enables creation of persistent, compounding knowledge bases using Karpathy's LLM Wiki pattern with LLM-maintained markdown wikis. Supports automated ingestion, cross-referencing, synthesis, and linting of sources as an alternative to traditional RAG systems.

MCP server for Loadingplay that exposes its tools via Streamable HTTP, supporting health check and standard MCP endpoint.

Enables exploration and search of local filesystems using glob pattern matching to find files and grep to search for text patterns within files.

A local RAG-powered documentation search system that uses vector embeddings and Qdrant to enable semantic search across markdown, HTML, and other file formats. It provides an MCP interface for AI tools like Cursor to intelligently query and retrieve information from local knowledge bases.

Enables monitoring and analysis of local application log files with real-time tailing, error tracking, and search capabilities. Perfect for debugging Node.js applications, web servers, or any application that writes to log files through natural language commands.

Connect Claude, Cursor, Windsurf and other AI agents to macOS native apps — Mail, Calendar, Contacts, Reminders, Notes, iMessage, Finder, Safari, OmniFocus, Microsoft Teams, Outlook, OneDrive, Word, Excel, PowerPoint, and PDF. 82 tools. All data stays on your Mac.

A local MCP server that allows AI systems to search and retrieve information from a custom knowledge base generated from markdown files. It provides tools for natural language text search, category browsing, and specific content chunk retrieval.

A fully offline local RAG server that utilizes ChromaDB and Ollama to index and query PDF, text, and Markdown documents. It allows users to manage local knowledge bases and perform semantic searches with AI-generated responses.

A Docker-based local RAG backend that provides advanced document search capabilities using vector, graph, and full-text retrieval via the Model Context Protocol. It supports over 28 file formats and tracks evolving relationships between concepts using a Neo4j-backed graphiti implementation.

Enables completely offline Wikipedia search through locally-indexed content using BM25 algorithm, allowing AI assistants to query Wikipedia without internet connectivity or external API calls.

Local Stt

Local Speech-to-Text MCP Server offers fast and private transcription using whisper.cpp, designed for Apple Silicon. Enjoy seamless audio support and multiple output formats while keeping memory usage low. 🐙✨