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MCP.so is a third-party MCP Marketplace with 22122 MCP Servers collected.

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Giteasy

When your AI runs git through a shell, it reads back raw command output — hundreds of tokens of noise to extract one piece of information. GitEasy MCP returns structured data: branch names, changed files, commit history — exactly what your AI needs, nothing extra. The same git operation at a fraction of the token cost. 21 tools, plain English, zero shell parsing.

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Wikimint

Generate wiki docs from source code. Supports PowerShell, Python, Go, C#. Java, COBOL are coming soon.

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X402 Trust Layer

x402 Trust Layer is the trust, security & settlement control plane for autonomous agent payments. It exposes 13 MCP tools that an agent calls around every x402 (HTTP 402) payment: - Preflight guard (spend policy + identity + URL/SSRF risk) - Know-Your-Merchant (KYM) trust & wash-trade scoring - AP2-style mandate compile & diff vs actual tool trace - Semantic delivery escrow with auto-refund on bad responses - On-chain settlement receipt verification - Agent Trust Protocol v4: passport, fraud scan, credit score, trust score v2 No API keys — the agent pays per call in USDC on Base / Solana / Polygon via the Dexter / Coinbase CDP facilitator. Works with Claude Desktop, Claude Code, Cursor, and any MCP client. Live API & dashboard: https://x402trustlayer.xyz/dashboard

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Pick An Agency

Search 47,000+ marketing agencies and get AI-matched with fitted agencies, from Pick an Agency. Hosted, public, read-only — no API key required. Tools: search_agencies, match_agencies (the "Get Matched" engine), get_agency. Every result links back to the agency's profile on pickanagency.com.

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Autoresearch

AutoSearch exposes a complete systematic-review pipeline as 6 MCP tools — not a thin search wrapper. `autosearch_run_research` launches an async PRISMA 2020 run (multi-source academic search across OpenAlex, Crossref, PubMed, Semantic Scholar, arXiv, ClinicalTrials.gov, DBLP and DOAJ; screening with recorded inclusion/exclusion decisions; evidence synthesis; IMRAD paper with APA references and PRISMA flow counts). Companion tools poll status, fetch the finished paper (markdown/JSON/PDF), verify any DOI live against Crossref, run one-shot evidence searches, and list runs. Citations are verified by construction: every DOI is checked against the Crossref API before it enters a deliverable, and a re-runnable citation-integrity benchmark is published at https://exatoshi.uk/trust (latest: 99/99 DOIs resolved, 0 fabricated, across 23 real deliverables — failures would be published too). Auth is a single `x-api-key` header; free account includes 50 credits. Docs with schemas, JSON examples and credit costs: https://exatoshi.uk/developers

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Lovie — Company Formation Mcp

Lovie is the Company Formation MCP server for AI tools. Form companies (state, entity type, name-availability check, shareholders, certificate, filing fee), open bank accounts, issue virtual/physical cards, send invoices, run payments, and categorize transactions — all from your AI agent. A lightweight npx stdio proxy bridges your tool to the Lovie server over HTTPS with OAuth; ~79 business tools.

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Archiet Xray

X-ray your software architecture from any AI assistant: manage ArchiMate blueprints, score them against SOC 2, ISO 27001, GDPR, HIPAA and PCI-DSS, and pull generated code artifacts — all over MCP.

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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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