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Showing 1-19 of 19 items
GitLab
GitLab by modelcontextprotocol

GitLab API, enabling project management

gitlab project-management
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filesystem
filesystem by filesystem

Secure file operations with configurable access controls

filesystem file-operations filesystem hevy-mcp filesystem mcp-server filesystem mcp
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Grow
Grow by modelcontextprotocol

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Time MCP Server
Time MCP Server by modelcontextprotocol

A Model Context Protocol server that provides time and timezone conversion capabilities. This server enables LLMs to get current time information and perform timezone conversions using IANA timezone names, with automatic system timezone detection.

time timezone
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Servers
Servers by modelcontextprotocol

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Aaa
Aaa by modelcontextprotocol

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Puppeteer
Puppeteer by modelcontextprotocol

Browser automation and web scraping

browser-automation web-scraping
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Google Maps Gold
Google Maps Gold by modelcontextprotocol

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Slack
Slack by modelcontextprotocol

Channel management and messaging capabilities

slack messaging
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Placeholder
404 by modelcontextprotocol

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Placeholder
Tencent Map by tencent-map

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location-services maps
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Google Maps
Google Maps by modelcontextprotocol

Location services, directions, and place details

google-maps location-services
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Filesystem
Filesystem by modelcontextprotocol

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filesystem mcp
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VeImageX MCP
VeImageX MCP by modelcontextprotocol

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PostgreSQL
PostgreSQL by modelcontextprotocol

Read-only database access with schema inspection

postgresql database-access
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Firecrawl MCP Server

Official Firecrawl MCP Server - Adds powerful web scraping to Cursor, Claude and any other LLM clients.

web-crawler web-scraping
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Redis
Redis by modelcontextprotocol

A Model Context Protocol server that provides access to Redis databases. This server enables LLMs to interact with Redis key-value stores through a set of standardized tools.

redis database
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Sentry
Sentry by modelcontextprotocol

Retrieving and analyzing issues from Sentry.io

sentry error-tracking
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Fetch
Fetch by modelcontextprotocol

Web content fetching and conversion for efficient LLM usage

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

What are MCP Servers?

MCP Servers are systems that provide context, tools, and prompts to AI clients. They can expose data sources like files, documents, databases, and API integrations, allowing AI assistants to access real-time information in a secure way.

How do MCP Servers work?

MCP Servers 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.

What can MCP Servers 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 with real-time information. Currently, this works with local MCP servers, with enterprise remote server support coming soon.

Are MCP Servers secure?

Yes, security is built into the MCP protocol. Servers control their 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.

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.

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.