A MCP implementation for sending notifications via Pushover

Persistent memory and context reduction for AI coding agents with AST-based summaries and editor integration.

Local-first agent runtime for MCP workflows with explicit trust controls, replayable runs, and built-in evals.

Specification and documentation for the Healthcare Model Context Protocol. This builds on top of the base Model Context Protocol

Maintenance of a set of tools to enhance LLM through MCP protocols.

MCP Market

Reachy mini MCP server for The On-Device Architect

MCPAgent for Grupa.AI Multi-agent Collaboration Network (MACNET) with Model Context Protocol (MCP) capabilities baked in

Multilingual Google Jobs search powered by SerpAPI with rich results, flexible filters, and smart error handling.

Python-based summarization tool that condenses Reddit frontpage, subreddits, and post comments with optional analyses.

Rust-based Substrate access layer exposing dynamic runtime calls, storage, events, and signed transactions over a flexible protocol.

Observability-driven code review and performance insights using live tracing data to reveal risky code and inefficiencies.

An MCP server for pinning GitHub Actions and container base images to their immutable SHA hashes to prevent supply chain attacks.

Access to Formula 1 data including race results, driver information, lap times, telemetry, and circuit details.

Codebase-aware, auditable RAG with non-embedding search, chunking into logical units for precise, context-rich LLM questions.

WP-CLI AI Command enables MCP-powered AI interactions in WordPress, hosting its own server and connecting to remote MCPs.

A Model Context Protocol (MCP) server for creating, reading, and manipulating Microsoft Visio documents.

A MCP (Model Context Protocol) server that provides automated GUI testing and control capabilities through PyAutoGUI.

MCP Server implementation of the DnD 5e API using resources, tools, and prompts.

Bluesky MCP (Model Context Protocol) Server

Solana Model Context Protocol (MCP) Demo

A Python-based tool that extracts text from PDFs located on disk or retrieved from URLs, featuring automatic encoding detection and a consistent JSON output. Built for seamless containerized deployment, it enables easy integration into larger workflows and makes PDF content readily accessible to AI assistants and data pipelines.

Streamlit-based Llama assistant with real-time external tool execution via a flexible protocol and dual backends (NVIDIA Nim API, Ollama).

A modular toolkit to create standalone MCP tools as executables using TypeScript and Cursor-ready workflows.