Find Awesome MCP Servers and Clients

MCP.so is a third-party MCP Marketplace with 22490 MCP Servers collected.

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A

Agent402

Open-source MCP server with ~1,100 deterministic tools — web search, headless Chromium, PDFs, OCR, images, ~1,040 CPU utilities. Free to self-host or pay per call via x402 (USDC on Base).

P

Prowlo

Hosted MCP server that gives any AI agent clean, semantically-searchable Reddit (and X) data — read-only, no Reddit API.

G

Goodeye

Outcome-aligned AI workflow registry. Design and run AI workflows with verifiers that align an agent to measurable outcomes, with reliable image output.

O

Onboard MCP

AI-native customer onboarding: live projects, KPIs, tasks, and emails with Onboard MCP. Connect Onboard to Claude or any MCP-compatible AI client to seamlessly surface blocked tasks, draft customer emails, monitor KPIs, and take action—right from your AI workspace. Access 27+ purpose-bu ilt tools that cover every stage of the customer onboarding lifecycle, all from within your preferred AI assistant.

L

Legalithm

EU AI Act compliance in your editor. Classify risk, cite obligations, draft Article 50 disclosures.

D

DesignForYou

Generate finished, on-brand designs — logos, social posts, app-store screenshots, comic panels, and visual-novel assets — from a prompt. A remote MCP server backed by 119 templates: free browse/recommend tools, metered generation, OAuth sign-in. Works in Claude Code, Cursor, and ChatGPT.

C

CostAffective-MCP

Intelligent repository context for AI coding assistants. Provides code search, symbol lookup, call graphs, and reference tracking via MCP. Uniquely designed to minimize prompt-cache costs in long sessions stash/recall/remember tools keep large content out of context until needed, and a token-budgeted repository summary avoids unbounded prompt bloat. Works with any MCP client (Claude, Codex, Cursor, opencode, etc..). Go, CGO, tree-sitter-backed.

FAQ

Frequently Asked Questions about MCP Server

1

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. It provides a universal standard for AI assistants to access external data, tools, and prompts through a client-server architecture.

2

What is MCP Server?

MCP Server is a system that provides context, tools, and prompts to AI clients. It can expose data sources like files, documents, databases, and API integrations, allowing AI assistants to access real-time information in a secure way.

3

How do MCP Server work?

MCP Server work through a simple client-server architecture. They expose data and tools through a standardized protocol, maintaining secure 1:1 connections with clients inside host applications like Claude Desktop.

4

What can MCP Server provide?

MCP Server 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.

5

How does Claude use MCP?

Claude can connect to MCP server to access external data sources and tools, enhancing its capabilities with real-time information. Currently, this works with local MCP servers, with enterprise remote server support coming soon.

6

Is MCP Server secure?

Yes, security is built into the MCP protocol. Server controls its own resources, there's no need to share API keys with LLM providers, and the system maintains clear boundaries. Each server manages its own authentication and access control.

7

What is mcp.so?

mcp.so is a community-driven platform that collects and organizes third-party MCP Servers. It serves as a central directory where users can discover, share, and learn about various MCP Servers available for AI applications.

8

How can I submit my MCP Server to mcp.so?

You can submit your MCP Server by creating a new issue in our GitHub repository. Click the 'Submit' button in the navigation bar or visit our GitHub issues page directly. Please provide details about your server including its name, description, features, and connection information.

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