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

Il s'agit d'un SDK et d'un framework pour implémenter le Model Context Protocol en Go. Il fournit un système standardisé pour créer des serveurs et des clients échangeant des ressources externes, des données propriétaires et des outils exécutables afin de fournir du contexte aux grands modèles de langage (LLM). Le SDK inclut une bibliothèque de communication JSON-RPC et un framework d'intégration pour exposer des données locales, des modèles de prompts et des fonctions typées aux modèles d'IA. Il permet le développement de serveurs de protocole fournissant un contexte externe ainsi que de clients consommant ces outils et ressources distants. Le projet couvre la gestion du cycle de vie des connexions et la négociation de version de protocole pour assurer l'interopérabilité. Il propose des abstractions de transport pour l'échange de messages via l'entrée/sortie standard ou HTTP, ainsi que des capacités de mappage de ressources et de gestion de session. Les fonctionnalités de sécurité et d'observabilité incluent l'intégration d'identité OAuth, des restrictions d'accès aux répertoires pour les serveurs, et des outils pour l'inspection du trafic et la vérification des capacités.