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Backlog MCP Server (backlog-mcp-server)

An MCP server implementation that integrates with Backlog API, enabling project management operations including issues, projects, and wikis through natural language interactions.

Provides seamless integration with Capacities knowledge management system, allowing Claude to list spaces, retrieve space information, search content, save weblinks, and add content to daily notes.

A Model Context Protocol server that integrates with Nutrient Document Web Service, allowing AI assistants to perform advanced PDF operations including digital signing, document generation, editing, OCR, watermarking, and redaction.

MemoDB MCP Server

MemoDB MCP Server 是一个用于管理AI应用对话上下文和个人知识库的服务器，提供用户数据、对话内容和知识管理的工具。

Free, Unlimited, Webpage to Markdown. No API Key required

A Model Context Protocol server that connects Claude Desktop to AI Note task management, enabling task creation, updates and management through natural language conversations.

MCP server for AnythingLLM that enables AI document chat platform interaction with tools for workspaces, chat, documents, threads, and system operations.

A production-ready MCP server that enables interaction with the AroFlo API to manage quotes, projects, and labor reporting. It features secure request signing and exposes API documentation as resources for enhanced context and tool surface.

Enhances developer tasks by retrieving relevant context from project documentation via a backend API. It enables users to generate enriched task descriptions and prompts by automatically integrating specific technical details from their project documents.

Build 66a81198

全面解析Build Custom MCP ServersMCP Server的核心功能、安装配置和实用案例。作为顶级Model Context Protocol服务器，Build Custom MCP Servers能让AI助手访问实时数据、执行操作，为您提供更智能的工作体验和自动化解决方案。

Builds and manages a cardiology-focused knowledge graph in Neo4j by extracting medical entities and relationships from documents using LLMs. It enables users to ingest PDFs, refine extracted data, and perform natural language queries to gain clinical insights.

An MCP server that uses AI to generate structured Asana project plans from diverse sources like text, PDFs, and meeting transcripts. It enables users to preview, generate, and directly sync detailed task lists, subtasks, and dependencies into Asana.

Read-only MCP server for the Apache Incubator Confluence wiki, enabling page lookup, search, and navigation through natural language.

Enables AI-powered querying and serving of markdown documentation with search, Q\&A capabilities, and document analysis. Built for the YC Agents Hackathon with OpenAI integration and rate limiting protection.

Enables serving and querying documentation with AI capabilities, allowing users to search, ask questions, and get AI-powered answers from their documentation files. Built for seamless deployment on the Dedalus platform with OpenAI integration for enhanced document analysis.

Enables AI-powered querying and management of documentation through markdown file serving, keyword search, and OpenAI-based Q\&A capabilities. Supports document indexing, analysis, and agent handoffs with rate limiting protection.

Enables serving and querying documentation with AI-powered capabilities including markdown file serving, keyword search, and intelligent Q\&A using OpenAI integration.

Simulate hundreds of AI agents to predict how communities react to events and policies. Upload any document (PDF, Markdown, text) and DeepMiro spawns a diverse swarm of AI agents that debate, share, …

Indexes documentation sites by base URL and serves keyword search, optional semantic search, and Markdown page retrieval as MCP tools, all from a single SQLite file.

Enables document-based question answering using OpenAI's GPT-4 with semantic search and embeddings. Upload PDF, TXT, or Markdown files and get answers strictly based on document content with source attribution and confidence scores.