Go Docs Mcp
Multi-format document MCP server — read, search, OCR, and extract from PDF, TXT, MD, DOCX, CSV, and images. Single Go binary, 12 tools, smart caching.
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Multi-format document MCP server — read, search, OCR, and extract from PDF, TXT, MD, DOCX, CSV, and images. Single Go binary, 12 tools, smart caching.
# Documentation MCP Server with Python SDK ## Prerequisites - `uv` package manager, (optional but **highly recommended**) - claude desktop or cursor (…
Chat with any product's documentation from Claude, Cursor, Copilot, or any MCP client. Biel.ai turns technical docs into a queryable MCP server with accurate…
# Graphiti MCP Server 🧠 [](https://www.python.org/downloads/release/python-3100/)…
**Context Keeper** 基于LLM驱动的智能上下文记忆管理系统,专为AI Agent提供企业级记忆能力。
Durable, local-first memory for AI coding agents over MCP — zero-dependency, curated & semantically de-duped, you own the data (SQLite + Markdown). Works with…
A Go implementation of the Model Context Protocol (MCP) server for Atlassian Confluence Data Center
# Memory MCP Server A Python implementation of an MCP server that processes and saves memory in the form of a knowledge graph. ## Overview MCP Server Memory…
# Brain Server - MCP Knowledge Embedding Service A powerful MCP (Model Context Protocol) server for managing knowledge embeddings and vector search. ##…
MCP server to connect AI agents to any github corpa
xocortex — an MCP server that gives your AI persistent memory across ALL your projects.
# apple-notes-mcp MCP server for Apple Notes with semantic search and CRUD operations. Claude searches, reads, creates, updates, and manages your Apple Notes…
# Documentation Hub MCP Server A Model Context Protocol (MCP) server for intelligent documentation retrieval across multiple technical domains. ## Overview…
# OBSIDIAN-MCP-SERVER LLM Agent와 연동 가능한 Model Context Protocol (MCP) Stdio 서버입니다. 이 서버는 LLM Agent가 Obsidian 관련 기능을 활용할 수 있도록 Python 기반의 Obsidian 관련 기능들을 제공합니다…
A local, Rust-based Knowledge Graph MCP server. Cuts AI coding token usage by up to 98% by intelligently querying your codebase instead of sending full files.