Find Market Leading MCP Servers and Clients

The largest collection of MCP Servers.

Showing 91-120 of 179 items
Next Mcp
Next Mcp by sweetmantech

free MCP server hosting using vercel

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

A Model Context Protocol (MCP) server implementation for managing Alibaba Cloud Realtime Computing Flink resources

rtc-mcp-server flink
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csa-mcp-servers
csa-mcp-servers by CloudSecurityAlliance

Several MCP servers the CSA uses, collected into a single repo for ease of use

csa-mcp-servers cloud-security
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Mirror of

firebase mcp-server
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MCP server for KubeBlocks Cloud

gcloud で Logging からログを取得する

mcp-server google-cloud-logging
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MCP server for Tembo Cloud's platform API

mcp-server tembo
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Model Context Protocol (MCP) Server for Cloudinary API

Model Context Protocol (MCP) server for Claude Desktop connecting to Google Calender using Google Calendar API

MCP test

mcp-server cloudflare
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MCP Google Calendar Server

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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fg-mcp-server
fg-mcp-server by fg-serverless-app

以Serverless方式将热门MCP部署到FunctionGraph

fg-mcp-server serverless
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Neon
Neon by neon

Interact with the Neon serverless Postgres platform

neon serverless-postgres
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Mirror of

mcp-server setup
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Omi Uber Mcp
Omi Uber Mcp by maximilien

An MCP server for Omi devices calling uber

Mirror of

mcp-server cloudflare
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Remote Supabase MCP server on Phala Cloud

llamacloud-mcp is a cloud computing platform that offers secure and scalable solutions for businesses looking to move to the cloud. It provides easy access to virtual servers and storage options for efficient data management.

mcp llamaindex
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gcal google-calendar
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remote-mcp-server cloudflare
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Thingsboard MCP Server

thingsboard mcp-server
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An unofficial MCP server for using Cloud Automator REST API.

cloud-automator mcp-server
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google tasks apiとgoogle calendar apiを利用したスケジューリング用のsse対応のmcp server

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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.