Discover Awesome MCP Servers and Clients

Discover, develop, and deploy Model Context Protocol Servers and Clients. Enhance your LLM applications with specialized knowledge and capabilities.

Featured MCP Servers

Curated high-quality MCP servers offering specialized knowledge and capabilities, proven in real-world applications.

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百度地图 MCP Server

by baidu-maps

Location & Maps

Baidu Maps API Location Geocoding Route Planning

百度地图 MCP Server provides a set of APIs compatible with the MCP protocol, enabling integration with v...

百度地图-mcp-server details

Playwright MCP

by Microsoft

Automation/System & Web

playwright browser automation accessibility

Playwright MCP is a Model Context Protocol server that provides browser automation capabilities usin...

playwright-mcp details

AWS Knowledge Base Retrieval M...

by modelcontextprotocol

AI/Data & Knowledge

AWS Knowledge Base Retrieval Bedrock RAG MCP Server

An MCP server implementation for retrieving information from the AWS Knowledge Base using the Bedroc...

aws-knowle...mcp-server details

EverArt MCP Server

by modelcontextprotocol

Media & Content/Images

image generation Claude EverArt API

An image generation server for Claude Desktop that utilizes the EverArt API. It allows users to gene...

everart-mcp-server details

GitHub MCP Server

by modelcontextprotocol

API/Clients & Integration

GitHub API Repository Management File Operations Search

MCP Server for the GitHub API, enabling file operations, repository management, search functionality...

github-mcp-server details

GitLab MCP Server

by modelcontextprotocol

Development/Version Control

GitLab API Project Management Automation

The GitLab MCP Server enables project management, file operations, and more through the GitLab API. ...

gitlab-mcp-server details

Google Maps MCP Server

by modelcontextprotocol

Location & Maps

maps geocoding places location API

This MCP server provides access to the Google Maps API. It allows you to perform geocoding, reverse ...

google-maps-mcp-server details

PostgreSQL Server

by modelcontextprotocol

Data/Databases

PostgreSQL Database Read-Only

A Model Context Protocol server that provides read-only access to PostgreSQL databases. This server ...

postgresql-server details

Puppeteer Server

by modelcontextprotocol

Automation/System & Web

browser automation puppeteer web interaction screenshot

A Model Context Protocol server that provides browser automation capabilities using Puppeteer. This ...

puppeteer-server details

Redis Server

by modelcontextprotocol

Data/Databases

Redis Key-Value Store

This is a Model Context Protocol server that provides access to Redis databases. It enables LLMs to ...

redis-server details

mcp-server-sentry

by modelcontextprotocol

DevOps/Monitoring & Observability

Sentry Error Tracking Debugging Model Context Protocol

A Model Context Protocol server for retrieving and analyzing issues from Sentry.io. This server prov...

mcp-server-sentry details

Slack MCP Server

by modelcontextprotocol

Communication

slack api claude automation server bot

MCP Server for the Slack API, enabling Claude to interact with Slack workspaces. It provides tools f...

slack-mcp-server details

Featured MCP Clients

Selected MCP clients providing seamless connection experience to help you easily leverage the power of MCP servers.

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MCP Flask Web Application

by fbeunder

This Flask web application allows users to interact with LLM models (OpenAI and Anthropic) through a...

mcp-flask-...pplication details

MCP CLI Client

by Fbeunder

A Command Line Interface for interacting with MCP (Machine Communication Protocol) servers via local...

mcp-cli-client details

Mattermost MCP Host

by jagan-shanmugam

A Mattermost integration with Model Context Protocol (MCP) servers that leverages AI language models...

mattermost-mcp-host details

Mattermost MCP Host

by jagan-shanmugam

A Mattermost integration with Model Context Protocol (MCP) servers that leverages AI language models...

mattermost-mcp-host details

Mattermost MCP Host

by jagan-shanmugam

A Mattermost integration with Model Context Protocol (MCP) servers that leverages AI language models...

mattermost-mcp-host details

MCP Client

by wintertechforum

A client implementation specifically designed for interacting with MCP, featuring seamless Anthropic...

mcp-client details

research

by danieloh30

This project showcases a simple agentic application using Quarkus, LangChain4j, and the Model Contex...

research details

MCP Agent Streamlit RAG

by saqadri

This repository provides a Streamlit-based RAG (Retrieval Augmented Generation) agent for interactin...

mcp-agent-...eamlit-rag details

refactored-octo-parakeet

by rggh

This is a project named refactored-octo-parakeet. More details about its functionality and usage sho...

refactored...o-parakeet details

fast-agent

by evalstate

fast-agent enables you to create and interact with sophisticated Agents and Workflows in minutes. It...

fast-agent details

Web Search MCP Server

by m-mcp

This is a web search server implemented based on the Model Context Protocol (MCP), providing a tool ...

web-search-mcp-server details

AI Image Generation Pipeline

by lalanikarim

This project demonstrates the use of Model Context Protocol (MCP) with LangGraph for AI image genera...

ai-image-g...n-pipeline details

Latest MCP Servers

Newly added MCP servers bringing cutting-edge technologies and innovative solutions to explore new possibilities.

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mcp-server-commands

by g0t4

AI/Development Tools

tools command execution script execution Claude

This server provides tools for Large Language Models (LLMs) to execute commands and scripts on a sys...

mcp-server-commands details

MCP Server for Milvus

by Zilliz

Data/Databases

Milvus Vector Database Integration

This repository contains an MCP server that provides access to Milvus vector database functionality....

mcp-server-for-milvus details

XcodeBuildMCP

by cameroncooke

Development/Tools

Xcode AI Assistant iOS macOS Automation

XcodeBuildMCP is a Model Context Protocol (MCP) server providing Xcode-related tools for integration...

xcodebuildmcp details

MarkItDown-MCP

by Microsoft

Utilities

markdown server conversion stdio sse

The `markitdown-mcp` package provides a lightweight STDIO and SSE MCP server for calling MarkItDown....

markitdown-mcp details

Webflow MCP Server

by Webflow

API/Clients & Integration

Webflow Node.js API AI Agents Server

A Node.js server implementing Model Context Protocol (MCP) for Webflow, enabling AI agents to intera...

webflow-mcp-server details

BlenderMCP

by ahujasid

AI/Integration

Blender Claude AI 3D Modeling Automation

BlenderMCP connects Blender to Claude AI through the Model Context Protocol (MCP), enabling prompt a...

blendermcp details

MCP Auto Install

by MyPrototypeWhat

Development/Tools

automation server management CLI Node.js

MCP Auto Install is a tool for automatically installing and managing Model Context Protocol (MCP) se...

mcp-auto-install details

MCP Servers

by devalexandre

Automation

headless browser automation Pyppeteer web scraping

MCP Servers with Pyppeteer allows you to control a headless browser, enabling automated navigation a...

mcp-servers details

TranscriptionTools MCP Server

by MushroomFleet

AI/Speech

transcription formatting repair summarization

An MCP server providing intelligent transcript processing capabilities. It features natural formatti...

transcript...mcp-server details

Gmail IMAP MCP Server

by tonykipkemboi

Communication/Email

Gmail IMAP AI Assistant Email Management

A Model Context Protocol (MCP) server for Gmail integration using IMAP. This server allows AI assist...

gmail-imap-mcp-server details

Tasker MCP

by dceluis

Automation

Tasker Automation API Server

Tasker MCP is an integration that allows you to control Tasker tasks from other applications using a...

tasker-mcp details

gmail-mcp-client-server

by karimdabbouz

Communication/Email

Gmail Client-Server OAuth Python Email API

This project provides a client-server implementation for interacting with Gmail. It requires manual ...

gmail-mcp-...ent-server details

Latest MCP Clients

Newly developed MCP client tools simplifying interactions with MCP servers and adding new features to your projects.

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MCP Flask Web Application

by fbeunder

This Flask web application allows users to interact with LLM models (OpenAI and Anthropic) through a...

mcp-flask-...pplication details

MCP CLI Client

by Fbeunder

A Command Line Interface for interacting with MCP (Machine Communication Protocol) servers via local...

mcp-cli-client details

Mattermost MCP Host

by jagan-shanmugam

A Mattermost integration with Model Context Protocol (MCP) servers that leverages AI language models...

mattermost-mcp-host details

Mattermost MCP Host

by jagan-shanmugam

A Mattermost integration with Model Context Protocol (MCP) servers that leverages AI language models...

mattermost-mcp-host details

Mattermost MCP Host

by jagan-shanmugam

A Mattermost integration with Model Context Protocol (MCP) servers that leverages AI language models...

mattermost-mcp-host details

MCP Client

by wintertechforum

A client implementation specifically designed for interacting with MCP, featuring seamless Anthropic...

mcp-client details

research

by danieloh30

This project showcases a simple agentic application using Quarkus, LangChain4j, and the Model Contex...

research details

MCP Agent Streamlit RAG

by saqadri

This repository provides a Streamlit-based RAG (Retrieval Augmented Generation) agent for interactin...

mcp-agent-...eamlit-rag details

refactored-octo-parakeet

by rggh

This is a project named refactored-octo-parakeet. More details about its functionality and usage sho...

refactored...o-parakeet details

fast-agent

by evalstate

fast-agent enables you to create and interact with sophisticated Agents and Workflows in minutes. It...

fast-agent details

Web Search MCP Server

by m-mcp

This is a web search server implemented based on the Model Context Protocol (MCP), providing a tool ...

web-search-mcp-server details

AI Image Generation Pipeline

by lalanikarim

This project demonstrates the use of Model Context Protocol (MCP) with LangGraph for AI image genera...

ai-image-g...n-pipeline details

Core Features

Explore the key capabilities that make Model Context Protocol powerful and versatile for enhancing LLM applications.

Standardized Protocol

Unified interface for context injection across different LLM applications and services.

Secure Integration

Built-in security features ensuring safe data exchange between clients and servers.

Specialized Knowledge

Access domain-specific data and capabilities to enhance your LLM's context awareness.

Flexible Architecture

Easy-to-implement design allowing integration with various programming languages and frameworks.

Use Cases

Discover how Model Context Protocol enhances AI applications across different domains and industries.

AI Research Tools

Connect LLMs with real-time research databases, academic papers, and specialized knowledge sources.

Financial Analysis

Enhance financial assistants with real-time market data, company information, and regulatory updates.

Legal Document Analysis

Connect LLM applications with legal databases, case law, and jurisdiction-specific regulations.

Scientific Research

Integrate domain-specific scientific data, experimental results, and research methodologies into LLM workflows.

Frequently Asked Questions

Get answers to common questions about MCP, how to use our platform, and how to contribute your own implementations.

What exactly is MCP (Model Context Protocol)?

MCP is an open-source protocol crafted by Anthropic. Its function is to allow AI systems such as Claude to establish secure connections with a wide range of data sources. It offers a unified standard for AI assistants to gain access to external data, tools, and prompts through a client-server architecture. This enables seamless interaction between AI and various data-related components, enhancing the overall functionality of AI systems.

What do MCP Servers entail?

MCP Servers are systems that are responsible for supplying context, tools, and prompts to AI clients. They have the ability to expose different data sources like files, documents, databases, and API integrations. By doing so, they facilitate AI assistants to access real-time information in a secure manner, which is crucial for providing up-to-date and accurate responses.

How does the operation of MCP Servers occur?

MCP Servers function based on a straightforward client-server architecture. They make data and tools accessible through a standardized protocol. Additionally, they maintain secure one-to-one connections with clients within host applications such as Claude Desktop. This architecture ensures efficient communication and data transfer between the server and the client.

What kind of provisions can MCP Servers offer?

MCP Servers are capable of sharing various resources like files, documents, and data. They can also expose tools such as API integrations and actions, and provide prompts in the form of templated interactions. Moreover, they have control over their own resources and maintain well-defined system boundaries to ensure security.

In what way does Claude utilize MCP?

Claude is able to connect to MCP servers in order to access external data sources and tools. This connection enriches its capabilities by providing real-time information. At present, this functionality is available with local MCP servers, and support for enterprise remote servers is set to be added in the near future.

Is the security aspect of MCP Servers reliable?

Absolutely. Security is an inherent part of the MCP protocol. Servers have control over their own resources, eliminating the need to share API keys with LLM providers. The system also maintains distinct boundaries. Each server is responsible for managing its own authentication and access control, thus ensuring a high level of security.

What is the nature of mcpserver.so?

mcpserver.so is a community-driven platform that focuses on collecting and organizing third-party MCP Servers. It serves as a central directory where users can explore, share, and acquire knowledge about different MCP Servers that are available for AI applications.

How can one submit their MCP Server to mcpserver.so?

To submit your MCP Server to mcpserver.so, you can create a new issue in our GitHub repository. You can either click the 'Submit' button located in the navigation bar or directly visit our GitHub issues page. When submitting, it is essential to provide detailed information about your server, including its name, description, features, and connection details.

What are the key differences between MCP Servers used in enterprise settings and those in personal projects?

Enterprise-level MCP Servers often need to handle larger volumes of data, comply with strict security and privacy regulations, and integrate with existing enterprise systems. In contrast, personal project MCP Servers may be more focused on simplicity and meeting individual needs. For example, enterprise servers might require multi-factor authentication and data encryption at rest, while personal ones may not have such complex requirements.

How does the performance of MCP Servers scale as the number of connected AI clients increases?

As the number of connected AI clients grows, the performance of MCP Servers can be affected in several ways. If not properly optimized, the server may experience bottlenecks in data transfer, processing power, or resource allocation. Server administrators need to consider factors like server hardware upgrades, load balancing techniques, and efficient resource management to ensure smooth performance as the client load increases.

Can MCP Servers be customized to work with specific types of AI models other than Claude?

Yes, MCP Servers can be customized to work with different AI models. Since MCP provides a standardized way of accessing data and tools, with some modifications to the integration process and understanding the input-output requirements of the specific AI model, it is possible to make MCP Servers compatible with models like GPT-4 or other open-source models. However, this may require additional development work to ensure seamless interaction.

What are the potential challenges in integrating MCP Servers with legacy data systems?

Legacy data systems often have outdated architectures, non-standard data formats, and limited connectivity options. Integrating MCP Servers with such systems may involve issues like data transformation to make it compatible with the MCP protocol, ensuring security in the connection, and dealing with potential performance degradation due to the differences in technology stacks. Additionally, legacy systems may lack proper documentation, making the integration process more difficult.