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The largest collection of MCP Servers.

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Quickstart of MCP server

weather MCP
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Remote Supabase MCP server on Phala Cloud

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gcal google-calendar
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mcp-servers
mcp-servers by mustafa-reza

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mcp-servers server-management
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First Trusted MCP server running on AWS Nitro Enclave Trusted Execution Environment

Stay AI API MCP Server
Stay AI API MCP Server by mattcoatsworth

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stayai property-management
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mcp-server cloudflare
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Model Context Protocol (MCP) server for Claude Desktop connecting to Google Calender using Google Calendar API

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mcp-server cloudflare
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dataworks mcp-server
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Mirror of

mcp-server cloudflare
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This is a quickstart template to easily build and deploy a custom remote MCP server to the cloud using Azure functions. You can clone/restore/run on your local machine with debugging, and `azd up` to have it in the cloud in a couple minutes. The MCP server is secured by design using

Landing page for Remote MCP Server efforts in Azure Functions with links to all language stack specific repos.

remote-mcp azure-functions
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Open-source MCP server platform. A web Ninite for composing your custom MCP server and deploying anywhere.

mcp server-deployment
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This is a quickstart template to easily build and deploy a custom remote MCP server to the cloud using Azure functions. You can clone/restore/run on your local machine with debugging, and azd up to have it in the cloud in a couple minutes. The MCP server is secured by design.

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cloudflare mcp-server
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MCP Server para pesquisar em um API externa de uma aplicação web

mcp-server
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MCP servers hosting in Phala Cloud

A Model Context Protocol (MCP) server that enables AI assistants like Claude to interact with your Linode Cloud Platform environment.

mcp-servers
mcp-servers by swaroopkasaraneni

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mcp-servers server-management
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MCP test

mcp-server cloudflare
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Deployable MCP Servers for common AWS services (Location, S3, Aurora PG Data API) using AWS CDK.

AnalyticDB for MySQL MCP Server

alibabacloud adb
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Azure Cosmos DB MCP Client and Server

cosmosdb azure
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gcloud で Logging からログを取得する

mcp-server google-cloud-logging
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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.