mcp-servers

mcp-servers

MCP.so is a community-driven MCP (Model Context Protocol) marketplace and directory for discovering, browsing, and submitting MCP servers, clients, integrations, and related tools that connect AI assistants to external data, services, and automated workflows.

mcp-servers is ai agents software teams evaluate for ai agents. Use this page to review pricing, integration signals, and the best alternatives before you commit.

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#446 in AI Agents (446 tools)
Just launched
Data reviewed Aug 12, 2026

Profile facts come from the vendor source. AiMatch labels unknown pricing or API details instead of estimating them.

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Quick Overview

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What it does

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mcp-servers

MCP.so is a community-driven marketplace and directory that collects, organizes, and surfaces third-party MCP (Model Context Protocol) servers, clients, integrations, CLI tools, loops, skills, and related resources. The platform lets users discover featured, popular, and newly published MCP servers and clients, browse by category or tag, and learn how MCP servers connect AI assistants (e.g., Claude) to external data, tools, and prompts. It is intended for developers, teams, and AI practitioners who want to connect AI apps to databases, APIs, automation tooling, and other external resources.

The site also provides submission pathways for authors to add their MCP servers (via a GitHub issues workflow) and includes documentation links, featured lists, and a searchable directory to help users find production-ready servers, integrations, and client tools.

A directory for discovering, sharing, and learning about MCP Servers for AI applications.

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Key Features

Central MCP Server Directory

A curated marketplace and directory of MCP servers, showing featured, popular, and newly published servers across categories like developer tools, AI & agents, databases, and more.

Browse & Search by Category/Tag

Discover MCP servers by name, category, tag, runtime, or integration to find servers that connect to specific data sources or tools.

Featured Servers, Clients, and Tools

Hand-picked and community-featured MCP servers, CLI tools, loops (reusable prompts/workflows), and agent skills showcased for production-readiness.

Submit & Community Contributions

Authors can submit MCP servers via the site by creating a new issue in the project's GitHub repository; the platform is community-driven.

FAQ and Protocol Documentation Links

Built-in FAQ about MCP and links to protocol docs that explain how MCP servers expose data, tools, and prompts to AI clients.

Pricing

Claim this listing to add current pricing tiers.

Use Cases

Discover MCP Servers

Browse and find MCP servers for specific tasks such as database access, search, browser automation, memory, or integrations with third-party services.

Connect AI Assistants to External Data

Use MCP servers to provide AI assistants (e.g., Claude) with access to files, docs, databases, APIs, and realtime data without sharing provider API keys.

Publish and Share Servers

Submit and advertise MCP servers to the community using the site's submission workflow (GitHub issues) to reach users and agent developers.

Explore Production-ready Integrations

Find featured production-ready servers and clients that enable agent workflows, CLI integrations, and automated tooling.

Integrations

Claude (Anthropic)

MCP servers enable Claude to connect to external data sources and tools; the FAQ notes Claude can connect to MCP servers for added capabilities.

ChatGPT

The site lists ChatGPT as one of the agent types that can be used with remote MCP workflows and integrations.

Cursor

Cursor is listed alongside other AI clients (Claude, ChatGPT) as compatible with MCP servers for agent workflows.

Benefits

Centralized discovery of MCP servers and integrations that accelerate connecting AI agents to tools and data.
Supports developer and production workflows by listing featured, production-ready servers and client tools.
Submission and community-driven curation enable sharing and rapid discovery of new MCP capabilities.

Limitations

Enterprise remote MCP server support is not yet generally available; Claude currently works with local MCP servers and enterprise remote support is coming soon.

Frequently Asked Questions

What is MCP (Model Context Protocol)?
MCP is an open-source protocol developed by Anthropic that enables AI systems like Claude to securely connect with various data sources and provides a universal standard for AI assistants to access external data, tools, and prompts through a client-server architecture.
What is MCP Server?
MCP Server is a system that provides context, tools, and prompts to AI clients and can expose data sources like files, documents, databases, and API integrations so AI assistants can access real-time information securely.
How do MCP Server work?
MCP Servers work through a simple client-server architecture, exposing data and tools via a standardized protocol and maintaining secure 1:1 connections with clients inside host applications like Claude Desktop.
What can MCP Server provide?
MCP Servers can share resources (files, docs, data), expose tools (API integrations, actions), and provide prompts (templated interactions); they control their own resources and maintain clear system boundaries for security.
How does Claude use MCP?
Claude can connect to MCP servers to access external data sources and tools, enhancing its capabilities; currently this works with local MCP servers with enterprise remote server support coming soon.
Is MCP Server secure?
Security is built into the MCP protocol: servers control their own resources, there's no need to share API keys with LLM providers, and each server manages its own authentication and access control.
What is mcp.so?
mcp.so is a community-driven platform that collects and organizes third-party MCP Servers as a central directory where users can discover, share, and learn about various MCP Servers available for AI applications.
How can I submit my MCP Server to mcp.so?
You can submit your MCP Server by creating a new issue in the project's GitHub repository or by clicking the 'Submit' button in the navigation bar and providing server details including name, description, features, and connection information.

Getting Started

  1. 1 Browse the directory to find MCP servers by category, tag, or search term.
  2. 2 Use the 'Submit' button or create a new issue on the project's GitHub repository to add your MCP server.
  3. 3 Connect an MCP-compatible client (for example, Claude Desktop) to a chosen MCP server to expose data, tools, or prompts to your AI assistant.

Support

Submit / GitHub issues

Submit MCP servers or request assistance by creating a new issue in the project's GitHub repository (use the 'Submit' button on the site).

Docs

Protocol docs and site resources are linked from the site for developers and integrators to learn how MCP and servers work.

API

Available: No

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