Awesome GitHub RepositoriesModel Context Protocol Servers

Codegraph is a local codebase indexer and static analysis graph database that serves as a context provider for AI agents. It parses multiple programming languages into a searchable knowledge graph of symbols and dependencies, exposing these relationships to AI tools through the Model Context Protocol. The project distinguishes itself by aggregating relevant code snippets and symbol flows to reduce token usage for large language models. It automates the configuration of server settings and steering instructions across various AI agent platforms and command line editors to enable automatic code

Graphiti is a backend framework and memory server designed to provide artificial intelligence agents with persistent, time-aware knowledge graph storage. It functions as a memory layer that enables agents to maintain context across long-term interactions by recording and evolving structured data over time. The system distinguishes itself through a specialized temporal graph database that tracks how entities and relationships change using validity windows. By combining semantic vector similarity, keyword matching, and graph topology traversal, the engine performs hybrid retrieval to locate rel

Unstract is an unstructured data extraction system and ETL pipeline orchestrator that uses large language models to convert documents, images, and scans into structured JSON. It provides a document extraction API for integrating these capabilities into external automation tools and includes a Model Context Protocol server to connect AI agents to structured information retrieval. The system ensures data accuracy through a verification tool featuring dual-model verification and human-in-the-loop review with coordinate-based document highlighting. It utilizes natural language extraction schemas

Materialize is a streaming SQL database that continuously ingests live data from sources such as Kafka, Redpanda, PostgreSQL, and MySQL, and incrementally maintains materialized views. It provides a PostgreSQL-compatible query engine that accepts standard SQL over the PostgreSQL wire protocol, enabling any existing SQL client or BI tool to query real-time data. The system also includes a Model Context Protocol (MCP) server that exposes live materialized view data to AI agents, providing fresh context without polling. Materialize distinguishes itself through its ability to offer configurable c

ZenML is an extensible machine learning orchestration framework designed to manage the end-to-end lifecycle of data pipelines and AI agent workflows. It functions as a durable orchestrator that executes machine learning tasks as directed acyclic graphs, ensuring that every step is containerized for consistent performance across local, cloud, and hybrid infrastructure. By decoupling pipeline code from underlying compute and storage backends, the platform allows developers to define infrastructure-agnostic stacks that remain portable across diverse environments. The project distinguishes itself

Este es un SDK y framework para implementar el Model Context Protocol en Go. Proporciona un sistema estandarizado para construir servidores y clientes que intercambian recursos externos, datos propietarios y herramientas ejecutables para proporcionar contexto a modelos de lenguaje grandes (LLM). El SDK incluye una librería de comunicación JSON-RPC y un framework de integración para exponer datos locales, plantillas de prompts y funciones tipadas a modelos de IA. Permite el desarrollo tanto de servidores de protocolo que proporcionan contexto externo como de clientes que consumen estas herramientas y recursos remotos. El proyecto cubre la gestión del ciclo de vida de la conexión y la negociación de versiones del protocolo para asegurar la interoperabilidad. Proporciona abstracciones de transporte para el intercambio de mensajes vía entrada/salida estándar o HTTP, junto con capacidades para el mapeo de recursos y la gestión de sesiones. Las funciones de seguridad y observabilidad incluyen integración de identidad OAuth, restricciones de acceso a directorios para servidores y herramientas para la inspección de tráfico y verificación de capacidades.