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Showing 3601-3630 of 3965 items
hyperscale-mcp
hyperscale-mcp by adalundhe

An MCP server for Hyperscale

Omi Uber Mcp
Omi Uber Mcp by maximilien

An MCP server for Omi devices calling uber

🤖 A Model Context Protocol (MCP) server for Google Cloud

google mcp
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mcp server for cloudflare flux schnell worker api.

MCP Server
MCP Server by groovyBugify

Open-source MCP (Mission Control Panel) server for AWS - A powerful, region-independent backend service for AWS operations

mcp-server aws
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Fixed booking system with Google Calendar integration, email confirmations, and MCP Server integration

booking-system calendar-integration
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Flights Mcp Server
Flights Mcp Server by smamidipaka6

MCP Server for Google Flights !!

MCP Server for Google Cloud Healthcare API

Azure Mcp Servers
Azure Mcp Servers by manekinekko

This directory showcases various Model Context Protocol (MCP) servers. These servers enable Large Language Models (LLMs) to securely access tools and data sources from Microsoft Azure.

Model Context Protocol implementation with DigitalOcean integration

mcp digitalocean
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Cloud Security Alliance Model Context Protocol Servers

cloud-security mcp-servers
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MCP server for Tembo Cloud's platform API

mcp-server tembo
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MCP server for CData Connect Cloud

cdata cloud
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Mirror of

mcp servers
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Mirror of

waldur mcp-server
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Efficient implementation of the Google Drive MCP server

gdrive mcp
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csa-mcp-servers
csa-mcp-servers by MCP-Mirror

Mirror of

cloud-security mcp-servers
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It is MCP server for access Postges DB on AWS RDS

postgers aws
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Mirror of

gdrive mcp-server
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Mirror of

dynamodb mcp-server
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A Python-based MCP server that lets Claude run boto3 code to query and manage AWS resources. Execute powerful AWS operations directly through Claude with proper sandboxing and containerization. No need for complex setups - just pass your AWS credentials and start interacting with all AWS services.

aws mcp-server
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Mirror of

eyevinn mcp-server
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mcp_server_ibmcloud
mcp_server_ibmcloud by ccmitchellusa

MCP server which provides IBM Cloud as a tool for use by LLM's, eg. via Anthopic Claude Desktop or map-cli (open source).

mcp_server_ibmcloud IBM Cloud
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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.