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    All product names, logos, and brands are the property of their respective owners. All company, product, and service names used in this repository, related repositories, and associated websites are for identification purposes only. The use of these names, logos, and brands does not imply endorsement, affiliation, or sponsorship. This directory may include content generated by artificial intelligence.
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    1. Home
    2. Mcp Server Directories & Lists
    3. Awesome Remote MCP Servers

    Awesome Remote MCP Servers

    A curated GitHub repository listing remote Model Context Protocol (MCP) servers, including categories, authentication details, and usage examples for integrating MCP servers with LLM clients. It serves as a central directory for discovering and contributing OAuth 2.0–enabled remote MCP servers.

    Awesome Remote MCP Servers

    URL: https://github.com/jaw9c/awesome-remote-mcp-servers
    Category: mcp-server-directories-lists
    Brand: jaw9c
    Featured: Yes

    Description

    A curated, opinionated GitHub list of high‑quality remote Model Context Protocol (MCP) servers. It focuses on official, well‑maintained MCP servers that are accessible over the internet, helping developers find reliable, production‑ready MCP services (including OAuth 2.0–enabled servers) for integration with LLM clients.

    Features

    • Curated directory of remote MCP servers (internet‑accessible servers rather than local ones)
    • Emphasis on official and well‑maintained MCP server implementations
    • Focus on production‑ready MCP services suitable for real AI applications
    • Includes categories of MCP servers for easier discovery and organization
    • Includes authentication details, with attention to OAuth 2.0–enabled remote MCP servers
    • Provides usage examples for integrating listed servers with LLM clients
    • Oriented toward use with major LLM providers’ Connectors / remote MCP integration features (e.g., OpenAI, Anthropic terminology)
    • Open repository under the MIT License
    • Community‑driven: supports contributions via standard GitHub workflows (CONTRIBUTING and CODE_OF_CONDUCT files present)

    Technical/Domain Context

    • Based on the Model Context Protocol, which defines how AI models interact with external tools and resources
    • Targets remote MCP servers, enabling secure network-based access from clients

    Pricing

    • Not a commercial product; this is an open GitHub repository.
    • Usage and access are free under the MIT open-source license.
    Surveys

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    Information

    Websitegithub.com
    PublishedDec 31, 2025

    Categories

    1 Item
    Mcp Server Directories & Lists

    Tags

    3 Items
    #curated-list#directory#mcp

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    6 result(s)

    awesome-mcp-list

    A curated GitHub repository that maintains a concise list of MCP (Model Context Protocol) servers. It serves as a directory of available MCP servers, aiming to help developers quickly discover and explore MCP-compatible server implementations, tools, and related resources.

    Featured

    AiMCP

    A web directory of MCP clients and servers that helps developers discover, compare, and choose the right Model Context Protocol tools.

    Featured

    awesome mcp projects

    A GitHub repository that appears intended as a curated list of MCP (Model Context Protocol) projects and resources. The current repository primarily contains HTML and minimal visible content, suggesting it is an early-stage or placeholder list for MCP-related servers and tools rather than a fully populated directory.

    Ai Agent Marketplace Index Mcp

    Provides a searchable index and marketplace of 5000+ AI agents and tools, allowing users to discover and monitor MCP servers for various tasks.

    Awesome Awesome MCP Servers

    A curated GitHub repository listing top Model Context Protocol (MCP) servers, providing direct access to a variety of MCP server implementations and resources. Highly relevant as the central directory for discovering and contributing to MCP servers.

    Awesome MCP Servers

    A curated GitHub repository listing production-ready and experimental Model Context Protocol (MCP) servers. These servers enable AI models to interact securely with local and remote resources, such as file systems, databases, version control, and more, through standardized MCP implementations. Multiple repositories exist with similar content, including those by strickvl, fmerian, and haris-musa.