"Redmine Project Management Software" matching MCP servers:

Enables AI clients (Cursor, Claude Desktop) to manage Redmine issues, projects, time tracking, and wiki pages through natural language.

Enables semantic search over a software project's Markdown and text documentation by indexing document chunks in Qdrant and exposing retrieval through MCP tools.

Provides a minimal MCP server with safe tools for AI assistants to search project files, read files, search local documentation, and run pre-approved checks within a single project directory.

An MCP server that makes project documentation instantly accessible in Claude Code through @ mentions, allowing Claude to understand your codebase's conventions and architecture.

Enables multi-project workspaces to share structured notes, API contracts, and handoff messages via a local SQLite database, with versioning and read tracking.

Enables hybrid retrieval-augmented generation with semantic and keyword search over documents, supporting multiple formats and providing MCP integration for Claude Desktop.

Routes coding agents to the most relevant project documentation (decisions, intent, constraints) with provenance and freshness, providing tools for task routing, knowledge search, and document context.

An MCP server that reads any codebase (GitHub repo or local folder) and explains it using AI. Enables users to ask questions about project structure, key files, auth flows, and more in plain language.

Provides project-aware context for coding agents by selecting relevant AGENTS.md, docs, module paths, and decision records based on task, reducing redundant context loading via MCP stdio.

Provides project-specific guides and instructions by selecting modules based on a project profile, enabling developers to get contextual instructions for their tech stack and architecture.

Tracks and manages code changes from Git repositories, generates documentation automatically, and provides AI agents with intelligent access to service documentation through MCP server integration with feature mapping and search capabilities.

An educational repository designed to practice and understand the Model Context Protocol through simple server implementations. It demonstrates core MCP concepts such as tools, resources, and communication via stdio and SSE transport methods.

This MCP server enables Claude AI to read and edit documents through natural language, leveraging tools, resources, and prompts for document management in a Ruby-based CLI application.

Provides tools to authenticate, search, and manage sessions within WingArc's iA Document Management System. It enables users to perform free word document searches and manage security tokens through the Model Context Protocol.

Enables AI editors to collaboratively manage project documentation, including todos, decisions, pitfalls, and interfaces, through MCP protocol tools.

Serves a single resource (project_info.md) as text/markdown over MCP HTTP transport, for use by MCP-aware clients like Claude Desktop.

Enables Claude AI to perform comprehensive file operations including reading, writing, notes management, PDF processing, and image handling with thread-safe operations. Provides a complete file management system with enhanced features like document processing and automatic directory creation.

Enables MCP-capable agents to inspect a local Synthesizer installation, query local grids and APIs, find examples, plot grid spectra, and validate scripts, so answers are grounded in the user's actual environment.

A secure, open-source Model Context Protocol server for connecting AI agents and apps to Notion. It enables search, read, create, and append operations on Notion pages with audit logging and risk-based security.

Hosted MCP gateway to the RTP global commons of neighborhood practice and relational tech knowledge. AI builders can query 275+ recipes, frameworks, and methodology docs for community organizing.