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The Model Context Protocol (MCP) is an open standard for AI model communication.
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AI servers

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  • wiki-kb

    15

    MCP-powered knowledge base — Agent writes, humans read. Structured wiki with compiled truth, timeline, entity registry, and LLM audit.

    Python

  • peac

    14

    Portable signed proof for agent, API, and MCP interactions

    TypeScript

  • repo-graph

    14

    Structural graph memory for AI coding assistants — MCP server for codebase navigation

    Python

  • riza-mcp

    13

    This repository provides a MCP server implementation that wraps the Riza API, offering endpoints as individual tools for LLMs to securely execute code and manage tools on Riza's isolated code interpreter.

    JavaScript

  • memtomem

    10

    Markdown-first, long-term memory infrastructure for AI agents. Hybrid BM25 + semantic search across markdown/code files via MCP.

    Python

  • mnemo-mcp

    10

    Persistent AI memory with hybrid search and embedded sync - open, free, unlimited

    Python

  • better-telegram-mcp

    10

    MCP server for Telegram (Bot API + MTProto) - composite tools optimized for AI agents

    Python

  • mcp-sdk-rs

    9

    This Rust SDK provides a work-in-progress implementation of the Model Context Protocol (MCP) for AI model communication. It offers features like multiple transport layers, async support, type-safe message handling, and

    Rust

  • opendota-mcp-server

    8

    This repository provides an MCP server for accessing OpenDota API data, enabling LLMs and AI assistants to retrieve real-time Dota 2 statistics, match data, and player information through a standard interface.

    Python

  • wildfly-mcp

    8

    The WildFly MCP repository provides tools for integrating WildFly servers with Generative AI, including a MCP server, a chat bot, container images, a protocol gateway, and a wait server to

    Java

  • eunomia-mcp-server

    7

    Eunomia MCP Server is a deprecated extension of the Eunomia framework that integrates Eunomia instruments with MCP servers for data governance orchestration in LLM applications. A new integration is coming soon.

    Python

  • bedrock-multimodal-batch-inference

    7

    Explore the use of Amazon Bedrock's batch inference capabilities with multimodal models like Anthropic Claude 3.5 Sonnet to generate cost-effective bulk image descriptions.

    Jupyter Notebook

  • pattern8

    7

    Enforce zero-trust rules for AI agents to prevent hallucinations, unsafe actions, and policy bypasses

    Python

  • mcp-example

    7

    This repository provides a Model Context Protocol (MCP) implementation, demonstrating local and remote tool calling with examples, schema validation, and integration with AWS Bedrock, showcasing AI-assisted development. This repository provides

    Python

  • prompt_generator

    6

    Anthropic prompt generator. Giving a task description string (e.g. Write me an email) and optional prompt variable string list (e.g. [COMPANY_NAME]. If empty Claude will pick variables, it'd generate

    Python
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