Provides an MCP server for scraping and retrieving data from GitHub Projects, including issues, pull requests, and organizational metadata. It enables natural language interaction with project boards and repository contents using GitHub Personal Access Tokens.
Enables authenticated team members to manage Odoo projects, tasks, timesheets, and milestones through Claude, with per-user token-based authentication.
Enables Claude Code to read, create, update, and delete Claude Cowork/claude.ai projects and their knowledge documents, including syncing local folders to projects, with safety features like backups and overwrite protection.
Enables AI assistants to query NYC capital project data (schedule, budget, lifecycle) using 16 tools with domain rules like PID↔FMS many-to-many and role-aware agency attribution.
Enables managing GitHub repositories, files, and user information through MCP, with support for creating, updating, and deleting repository contents, as well as fetching user profiles.
Enables any MCP-compatible AI assistant to search, filter, and retrieve information from a local document collection using a hybrid search pipeline with vector, BM25, reranking, and LLM enrichment.
A production-ready MCP server for Method CRM API integration. It enables LLMs to interact with Method CRM data through tools for tables, files, users, events, and API key management.
Enables task management through natural language commands in English or Spanish. Supports creating, listing, updating, completing, and deleting tasks with local SQLite storage.
MCP server for managing Nextcloud Tasks (todos) via CalDAV, allowing Claude to view, add, complete, edit, and delete tasks with GitHub OAuth authentication.
Call OpenAI Codex from Claude Code for independent second opinions, structured code review, and delegated coding tasks through a FastMCP plugin that drives the codex CLI safely.
Enables AI coding agents to read Microsoft Planner and To Do tasks across multiple M365 tenants with proper authentication, and supports optional write operations limited to tasks the agent created.
Enables users to describe their LLM fine-tuning job once and get the cheapest, fastest, and most balanced GPU options across a dozen cloud providers in seconds.
Enables academic research through paper search across multiple databases (IACR, CryptoBib, Crossref, Google Scholar), PDF processing, and GitHub repository browsing. Features modular architecture with FastMCP-based proxy server routing to specialized academic tools.