
Dumpling AI MCP Server Dumplingai
The Dumpling AI MCP Server is a model context protocol service integrating multiple functions, providing capabilities such as data scraping, content processing, knowledge management, AI agents, and code execution, and supporting a rich set of API interfaces and tools.
TypeScript
7.7K
2 points

MCP Registry Crewai Demo Agent
Demonstrate connecting the Keboola Registry API to the MCP server through the CrewAI wrapper, enabling AI agents to call registered skills.
Python
9.4K
2 points

Solana MCP
Solana MCP is a protocol server designed for AI agents, providing a standard interface for interacting with the Solana blockchain and DeFi protocols, supporting operations such as balance query, fund transfer, and trading.
TypeScript
8.1K
2.5 points

Grasp (Browser Automation)
Grasp is an open-source and self-hostable humanized browser automation tool that supports the MCP and A2A protocols and can seamlessly integrate with various AI applications. Through Docker containerization deployment, it provides a browser operation experience controlled by natural language.
TypeScript
9.4K
2.5 points

MCP Server 7v1
The Firebolt MCP Server is a service that implements the model context protocol, which can connect LLMs (large language models) with the Firebolt data warehouse, enabling AI assistants to directly query data, generate insights, and access documentation resources.
Go
6.7K
2.5 points

Ai Agent
An example project that includes various AI agents and RAG technologies, covering Gemini applications, MCP services, Flutter applications, and Vertex AI integration, providing AI development examples from basic to advanced.
TypeScript
7.6K
2 points

MCP Graphiti
The Graphiti MCP Server is a server based on multi - project knowledge graphs, supporting the rapid construction and management of temporary knowledge graphs for AI agents to query through the model context protocol. This project extends the official getzep/graphiti MCP Server, adds support for multiple servers and a single database, and provides a CLI tool with an optimized developer experience.
Python
10.3K
2.5 points

MCP Calender Agent
The MCP iCal Server is a macOS calendar management tool based on an AI agent. It enables natural language interaction through a single interface and supports functions such as event creation, schedule query, and intelligent update.
Python
6.7K
2 points

Flex MCP Agent
Flex MCP Agent is a multi - functional agent project that integrates weather data acquisition, Confluence interaction, and email sending functions, standardizing the interaction between AI models and data sources using the Model Context Protocol (MCP).
Python
7.7K
2 points

Agenticproductsearching
Intelligent product search system based on MCP service and OpenAI Agent SDK
7.5K
2 points

Code Reviewer Fixer Agent
AI code review and issue repair agent for analyzing codebases, detecting security vulnerabilities, reviewing code quality, and providing repair suggestions based on Sentry error logs.
Python
5.9K
2.5 points

Batchit
MCP BatchIt is a batching server for MCP tool calls. By aggregating multiple MCP tool calls into one request, it significantly reduces the communication overhead and token consumption of AI agents.
TypeScript
6.9K
2.5 points

MCP Server Postgres
PG-MCP is a model context protocol server designed for PostgreSQL databases. It provides APIs for AI agents to connect to, query, and understand databases, and supports multiple database connections, rich metadata extraction, and query analysis functions.
Python
9.9K
2 points

MCP Adguard Home
An MCP server implementation for AdGuard Home, supporting querying and managing DNS records, filtering rules, etc. through an AI agent.
TypeScript
8.0K
2 points

Azure Openai MCP Example
This project demonstrates how to integrate OpenAI, Azure OpenAI, and GitHub models through the MCP protocol to build a terminal application for a TODO list agent. The project includes three major components: MCP host, client, and server, supports HTTP and SSE protocols, and provides tool invocation and database storage functions.
TypeScript
7.4K
2 points

Filesystem MCP
Filesystem MCP is a Node.js-based Model Context Protocol server that provides secure, relative-path file system access services for AI agents (such as Cline and Claude).
TypeScript
9.0K
2 points

Postgresql Model Context Protocol (pg Mcp) Server 7fh
PG-MCP is a model context protocol server designed for PostgreSQL databases, providing APIs for AI agents to discover, connect, query, and understand databases. It supports multi - database connection, rich catalog information, and query explanation functions.
Python
13.0K
5 points

Graphiti MCP Pro
Graphiti MCP Pro is a memory storage MCP service and management platform enhanced based on the Graphiti framework, providing asynchronous parallel processing, task management tools, unified configuration management, broader AI model compatibility, and a comprehensive visual management system.
Python
8.1K
2.5 points

Thingsboard MCP
The ThingsBoard MCP Server is a service that provides a natural language interface for LLMs and AI agents, allowing interaction with the ThingsBoard IoT platform through natural language commands to achieve functions such as device management, data query, and analysis.
Java
6.7K
2.5 points
D
Discourse MCP
Discourse MCP is a Model Context Protocol server that exposes Discourse forum functions as tools to AI agents. It supports operations such as searching, reading posts, and creating posts, provides read-only and writable modes, and supports remote tool discovery and dynamic registration.
TypeScript
0
2.5 points
S
Sequential Thinking MCP
Sequential Thinking MCP is an MCP server that supports AI agents in advanced metacognition and dynamic reflective problem-solving, guiding the step-by-step execution of complex tasks through virtual thought recording and planning.
Python
18.8K
2.5 points

Engram Memory MCP
Engram is a hosted MCP service that provides reliable memory for AI agents, enabling AI to remember past conversations, facts, and decisions, making it more like a real team member.
7.0K
2 points
B
Bsc MCP
BNBChain MCP is a server based on the Model Context Protocol (MCP), providing secure interaction between AI agents and applications with the Binance Smart Chain (BSC) ecosystem. It integrates functions such as wallet management, token transfer, PancakeSwap decentralized exchange operations, Meme token trading, and GoPlus security analysis. It is developed using TypeScript and supports seamless integration with Claude Desktop.
TypeScript
5.2K
2.5 points

Ten Agent
TEN Agent is a multi-functional AI agent framework that integrates real-time vision, voice recognition, and screen sharing detection capabilities, and supports rapid expansion and development.
Python
5.7K
2 points

Systemprompt MCP Core
An AI agent server based on the Model Context Protocol (MCP), providing system prompt management and tool expansion functions, supporting the creation, management, and version control of AI agents.
TypeScript
7.1K
2.5 points

Steel Puppeteer
A browser automation service based on Puppeteer and Steel, providing web page interaction capabilities for LLMs
TypeScript
7.9K
2 points

Systemprompt
An AI agent server based on the Model Context Protocol, providing system prompt and tool management functions
TypeScript
7.6K
2.5 points

Browser Use MCP Server
An AI-driven browser automation server based on the MCP protocol, supporting natural language control of web page operations and in-depth web research.
Python
13.8K
5 points

Aliyun Alibabacloud Adb Mysql MCP Server
AnalyticDB for MySQL MCP Server is a universal interface service that connects AI agents and AnalyticDB for MySQL databases, supporting metadata retrieval and SQL operation execution.
Python
8.1K
2 points

MCP Searxng 1g0
mcp - searxng is an MCP server example designed for AI agents, which implements the external information search function through the open - source meta - search engine SearXNG. The project demonstrates how to integrate SearXNG and Microsoft's markdownify tool to convert web page content into Markdown - formatted text and communicate with MCP clients via the SSE protocol.
Python
6.7K
2.5 points
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Featured MCP Services

Markdownify MCP
Markdownify is a multi-functional file conversion service that supports converting multiple formats such as PDFs, images, audio, and web page content into Markdown format.
TypeScript
27.0K
5 points

Gitlab MCP Server
Certified
The GitLab MCP server is a project based on the Model Context Protocol that provides a comprehensive toolset for interacting with GitLab accounts, including code review, merge request management, CI/CD configuration, and other functions.
TypeScript
18.1K
4.3 points

Notion Api MCP
Certified
A Python-based MCP Server that provides advanced to-do list management and content organization functions through the Notion API, enabling seamless integration between AI models and Notion.
Python
17.5K
4.5 points

Duckduckgo MCP Server
Certified
The DuckDuckGo Search MCP Server provides web search and content scraping services for LLMs such as Claude.
Python
53.1K
4.3 points

Unity
Certified
UnityMCP is a Unity editor plugin that implements the Model Context Protocol (MCP), providing seamless integration between Unity and AI assistants, including real - time state monitoring, remote command execution, and log functions.
C#
22.7K
5 points

Figma Context MCP
Framelink Figma MCP Server is a server that provides access to Figma design data for AI programming tools (such as Cursor). By simplifying the Figma API response, it helps AI more accurately achieve one - click conversion from design to code.
TypeScript
50.4K
4.5 points

Gmail MCP Server
A Gmail automatic authentication MCP server designed for Claude Desktop, supporting Gmail management through natural language interaction, including complete functions such as sending emails, label management, and batch operations.
TypeScript
18.1K
4.5 points

Context7
Context7 MCP is a service that provides real-time, version-specific documentation and code examples for AI programming assistants. It is directly integrated into prompts through the Model Context Protocol to solve the problem of LLMs using outdated information.
TypeScript
75.2K
4.7 points