"Tor Project" matching MCP servers:

Enables converting a public release-note URL into ordered upgrade tasks with source excerpts, anchors, confidence, and uncertainty, without executing release text or project code.

Provides AI assistants with intelligent access to project documentation and API references through smart search, contextual rules, and Docset integration. Enables AI to understand project-specific conventions, patterns, and official framework documentation without token limits.

A Model Context Protocol server that converts Markdown documents to plain text with flexible options and dual protocol support.

Automatically analyzes project dependencies to discover and download the most relevant documentation, enabling developers to quickly set up comprehensive project context.

Enables personal project documentation management through local markdown files stored in nested directories. Supports organizing context by project and layer (backend/frontend/fullstack) with search functionality across all documentation files.

Automatically crawls documentation websites, converts them to organized markdown files, and generates condensed cheat sheets. Intelligently categorizes content into tools/APIs and provides local-first access to downloaded documentation.

Fetches website content and converts it to Markdown format with AI-powered content cleanup, ad removal, and full OpenAPI/Swagger specification support for easy processing by AI assistants.

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

A Model Context Protocol (MCP) server for Specifai project integration and automation with any MCP-compatible AI tool. This server currently exposes tools to read all documents generated by the Specifai project.

A Model Context Protocol (MCP) server for project document management with 32 comprehensive prompts covering the complete software development lifecycle.

AI context management for codebases – enables Claude Code to read, search, and update project documentation via MCP.

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

Provides access to coding rules, standards, and project documentation from Luskad.com. Enables AI assistants to search and retrieve team coding guidelines, project features, and development standards directly within your IDE.

Auto-discovers llms.txt documentation from project dependencies and exposes it to AI coding agents via MCP, enabling agents to read first-party docs without scraping or guessing.

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

Converts Markdown files to Atlassian Document Format and publishes them to Confluence, with support for rendering Mermaid diagrams as PNG attachments.

Converts any OpenAPI/Swagger spec into an MCP server, exposing REST API endpoints as tools for Claude.

Translates project README files into multiple languages via MCP server or standalone pipeline, using local LM Studio models for translation, critique, and revision.

Unified MCP server for Construct 3 providing offline documentation, project read/write, analysis, and scripting support. Enables AI-driven game development and project management through natural language.

Provides secure, read-only access to ContextCore project context (vision, audience, scope, tech decisions, etc.) for MCP-aware agents like Cursor and Claude Code, with server-side access enforcement.