Serena is a powerful open - source coding agent toolkit that can transform LLMs into full - fledged agents that can work directly on codebases. It provides IDE - like semantic code retrieval and editing tools, supports multiple programming languages, and can be integrated with multiple LLMs via the MCP protocol or the Agno framework.

mcpo is a simple and easy-to-use proxy tool that can quickly convert any MCP tool into an OpenAPI-compatible HTTP server, enabling access through standard RESTful interfaces and facilitating integration with LLM agents and applications.

This is a curated list of Web3 Model Context Protocol (MCP) servers, covering multiple categories such as chain interaction, trading, DeFi, market data, tools, and social. MCP is an open protocol that standardizes how applications provide context to LLMs, similar to the USB - C port for AI applications. DeMCP is the first decentralized MCP network, focusing on providing self - developed and open - source MCP services for agents, supporting cryptocurrency payments, and redefining the security and reliability of MCP by combining TEE and blockchain registries.

This is an AI development tool project based on Docker containers. It uses Markdown files to write complex workflows, combines Dockerized tools with the LLM model selected by the user, and implements a workflow of multi - model agents and project - priority design.

ATLAS is an intelligent task and knowledge management system built on TypeScript and Neo4j, designed for LLM agents, providing a three - layer management architecture for projects, tasks, and knowledge.

adb - mcp is a proof - of - concept project aiming to provide an interface for LLMs through the MCP protocol to create an AI agent for controlling Adobe tools (such as Photoshop and Premiere). This project includes the MCP server, Node command proxy server, and Adobe application plugins, supporting natural language instruction operations on Adobe software and suitable for image and video editing automation.

The Zen7 Payment Agent is the first practical implementation of a DePA decentralized payment agent. It adopts a multi - agent collaborative architecture, supports the A2A and MCP protocols, and provides multi - chain and multi - currency payment solutions for AI agents and Dapp applications, enabling automated cryptocurrency payments and LLM - driven intent recognition.

The Dify MCP client plugin, as an agent strategy plugin, allows ReAct agent nodes to connect to the MCP server, converting the list of tools, resources, and prompts into Dify tools for LLM to call.

This project is an MCP client based on LangChain, used to demonstrate how to call MCP server tools through the LangChain ReAct Agent. It supports the LLMs of Anthropic, OpenAI, and Groq and provides the function of converting MCP tools to LangChain tools.

Cursor Rust Tools is an MCP server that provides access to Rust Analyzer, Crate documentation, and Cargo commands for the LLM in Cursor, improving the efficiency of AI agents in Rust development.

This project creates an AI agent based on the n8n platform that can discover and use Model Context Protocol (MCP) server tools through the Nostr network. The agent searches for available tools by querying Data Vending Machines (DVM) in the network, sends requests, and obtains responses, thereby expanding the functionality of the LLM to use MCP tools that are not installed.

The FHIR MCP Server is a medical data management server based on the FastMCP framework, providing a complete implementation of the Model Context Protocol (MCP) and supporting the interaction between LLM agents and FHIR-compatible backends. It provides standardized interfaces, supports comprehensive CRUD operations on FHIR resources, and implements intelligent document processing and semantic search through a series of tools.

Speelka Agent is a general LLM agent based on the Model Context Protocol (MCP), capable of invoking tools from other MCP servers to achieve complex task decomposition, multi - model collaboration, and tool orchestration.

The Unity MCP Server is a C# - based Model Context Protocol (MCP) service used to connect the Unity editor with external large - language models (LLM) or cloud - based AI agents to achieve real - time automation and intelligent interaction.

The project involves documentation, sample code repositories, and community resources for the LangChain framework, including technical content such as Python programming, AI agent development, FastAPI integration, and LLM fine-tuning.

Auth0 MCP Server is an open - source project that integrates Auth0 management functions into LLMs and AI agents through the Model Context Protocol, allowing users to perform Auth0 management operations through natural language.

Fused MCP Agents is a Python - based tool that allows users to directly run any Python code through the Claude desktop application, enabling the connection between LLMs, APIs, and executable code.

A plug - and - play Redshift database MCP service that provides a secure and standardized data access interface for LLMs and AI agents, supports multiple permission modes, and can be deployed and used without code modification.

The Astra DB MCP server is a service that provides large language models (LLMs) with the ability to interact with the Astra database, extending the functions of LLMs as agents to interact with external systems.

A server toolkit based on the Model Context Protocol, providing system tools and network services for LLM agents.

This project demonstrates how to create an MCP server that enables LLMs to communicate with Backstage instances, including a sample agent based on the Bee Agent Framework.

Files-DB-MCP is a local vector database project designed for software files, providing a fast MCP interface to support LLM programming agents.

A multi - agent system laboratory project for educational purposes, simulating e - commerce and health consultation scenarios, demonstrating multi - agent collaboration, the use of the MCP protocol, and the integration of different LLM models.

A modular application demonstration based on FastMCP, integrating the MCP server, FastAPI interface, and LLM Agent functionality. It uses a modular design, supports dual operating modes, and LLM integration.

Nano Agent is an experimental small engineering proxy MCP server that supports multi-provider LLM models, used to test and compare the proxy capabilities of cloud and local LLMs in terms of performance, speed, and cost. The project includes a multi-model evaluation system, a nested agent architecture, and a unified tool interface, supporting providers such as OpenAI, Anthropic, and Ollama.

A service toolset based on the Model Context Protocol, providing functions such as encoding conversion, network diagnosis, system monitoring, security encryption, and QR code generation, and supporting LLM agents to call system tools.

The Lightning Network MCP Server is a Lightning Network node data service based on natural language queries, supporting LLM agents to interact with nodes through the MCP protocol.

The Cross-system Proxy Communication MCP Server enables collaboration and task management among multi-role LLM agents

DocNav is a document navigation server based on the MCP protocol, providing LLM agents with human-like long document reading, analysis, and navigation capabilities, supporting multi-format document processing and intelligent search functionality.

Mcpixir is an open - source Elixir library for connecting any LLM to the MCP server and building custom agents with tool access permissions. It supports multiple LLM providers and MCP servers, providing flexible tool invocation and server management functions.

DocNav is a document navigation server based on the MCP protocol, providing LLM agents with human - like document reading, analysis, and navigation capabilities, supporting multi - format document processing and intelligent search.

The Ntropy MCP server is a service that enriches bank data and provides a convenient interface call for LLM agents processing financial data through the Ntropy API.

The ClinicalTrials.gov MCP server is an interface service based on the Model Context Protocol that provides access to the official ClinicalTrials.gov database, supporting AI agents and LLMs to programmatically search, retrieve, and analyze clinical research data.

The LangChain MCP client is a project that demonstrates how to use MCP server tools through the LangChain ReAct agent. It supports flexible selection of LLM models and enables dynamic interaction via the CLI.

The Hyperbolic GPU MCP Server is a tool for interacting with the Hyperbolic GPU cloud, allowing agents and LLMs to view, rent GPUs, and run GPU-accelerated workloads via SSH connections.

The Superdesign MCP Server is a design coordinator that integrates the open - source Superdesign AI design agent into Claude Code, allowing users to use its advanced design features without an API key. It provides structured specifications through the MCP server, enabling the LLM of Claude Code to perform design tasks. It supports multiple design types such as UI designs, components, and icons, and includes iteration and design system extraction functions.

The TeamCity MCP Server is a service that exposes the features of JetBrains TeamCity as structured AI resources, supports integration with LLM agents and IDE plugins, and provides tools for build triggering, cancellation, tagging, and searching.

ifcMCP is an MCP server project that enables LLM agents to interact with IFC (Industry Foundation Classes) files and supports multiple tools to operate on IFC file data.

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.

A Python - based Obsidian MCP standard IO server that provides Vault and file management functions and supports integration with LLM Agents.