MCP Go is a server-side framework for the Model Context Protocol (MCP) implemented in Go, used to connect LLM applications with external data sources and tools. It provides core functions such as resource management, tool invocation, and prompt templates, and supports session management and middleware extension.

Cognee is an open - source project that provides memory functions for AI agents. It builds a dynamic knowledge graph through a modular ECL pipeline, supports multiple data sources and formats, reduces hallucinations, and lowers costs.

OpenDia is an open - source browser extension tool that allows AI models to directly control the user's browser, perform automated operations using existing login status, bookmarks and other data, support multiple browsers and AI models, and focus on privacy protection.

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.

mcp-get is a command-line tool used to discover, install, and manage MCP servers, simplifying the connection between LLMs and external data sources.

Wren Engine is a semantic engine designed for MCP clients and AI agents, providing semantic layer support to enable AI to accurately understand enterprise data models and business logic. It supports multiple data sources and is embedded in MCP clients to ensure the accuracy and governance of data interaction.

The Neon MCP Server is an open - source tool that allows users to interact with the Neon Postgres database through natural language, simplifying database management tasks.

The Graphlit MCP Server is an integration tool that connects MCP clients with Graphlit services, supporting the ingestion, processing, and retrieval of multiple data sources.

The Quarkus Model Context Protocol (MCP) Server is an open-source protocol server that supports easy integration of LLM applications with external data sources and tools through declarative and programmatic APIs.

Open Data MCP is an open - source project aiming to quickly connect public data sets to LLM applications through the MCP protocol. The project provides a CLI tool to achieve a 2 - minute connection (currently supporting Claude) and establishes a community collaboration framework that allows developers to easily contribute and publish public data sets. The core goal is to build an infrastructure that connects all LLM applications with millions of public data sets.

Open Data MCP is an open - source project aiming to quickly connect public data sets to LLM applications through the MCP protocol, enabling convenient access to open data and community - based publishing.

BioMCP is an open - source biomedical AI toolkit that provides professional biomedical knowledge support for AI systems by connecting to authoritative data sources.

Postgres MCP Pro is an open - source MCP server that provides comprehensive support for AI agents in database index tuning, execution plan analysis, health checks, and secure SQL execution.

The NASA MCP Server is a server that follows the Model Context Protocol specification, providing a standardized interface for AI models to access more than 20 public API data sources of NASA, including astronomical photos, Mars exploration data, Earth observation images, etc. The project provides unified data format conversion, parameter validation, and rate limit management, and supports multi - platform operation.

MCP is an open-source protocol for standardizing LLM interactions, providing a unified framework for connecting data sources, obtaining context, using tools, and executing standard prompts. Project examples demonstrate how to build MCP servers and clients to implement knowledge base chatbot functionality.

This is an MCP server based on the Alpha Vantage API, which provides stock data query functions and can be used as a context data source for LLMs.

Apifox MCP Server is a service that provides the interface documentation of Apifox projects as a data source to AI programming tools, supporting code generation and document query.

This project compiles a list of popular Model Context Protocol (MCP) servers based on Smithery.ai usage data. MCP is an open-source standard developed by Anthropic for establishing secure two-way connections between data sources and AI tools.

DuckDB MCP Server is a service that implements the Model Context Protocol (MCP), enabling AI assistants to interact with the DuckDB database via SQL, supporting queries from multiple data sources and cloud storage access.

The Eyevinn Open Source Cloud MCP Server provides database, storage, and VOD processing services

The Model Context Protocol (MCP) is a protocol for seamless integration of LLM applications with external data sources. It provides .NET templates to simplify the development process, supports multiple operating modes, and includes a visual debugging tool.

This project provides multiple Model Context Protocol servers, including web search, weather query, and memory storage functions, enabling AI models to integrate external tools and data sources.

This project is a tutorial for quickly building an MCP server, supporting multiple data sources such as Yahoo Finance. It can be set up within 10 minutes, including development environment configuration, dependency installation, and running steps.

The Storm MCP server is an open protocol that implements the Anthropic Model Context Protocol, supports the integration of LLM and RAG data sources, and provides functions such as context sharing, tool system, file management, and API integration.

This project is an educational implementation of an MCP server, demonstrating how to build an MCP server that can be integrated with multiple LLM clients. MCP is a standardized protocol for connecting AI models with different data sources and tools.

The Eyevinn Open Source Cloud MCP Server provides web services such as databases, storage, and VOD processing pipelines based on open source technologies, avoiding vendor lock-in and supporting revenue sharing for creators.

The Eunomia MCP Server is an open - source data governance tool for data policy management in LLM applications, supporting integration with the MCP server.

A Rust-based MCP CLI server template for implementing standardized connections between LLM applications and external data sources and tools.

The Model Context Protocol (MCP) is an open - source protocol that provides a series of reference implementations and community - developed servers. It aims to provide large language models (LLMs) with secure and controllable access to tools and data sources. These servers demonstrate the diversity and scalability of MCP, covering various functions from file system operations to database integration, from web search to AI image generation.

An implementation of the Unstructured API MCP server, providing tools for interacting with the Unstructured API, including operations such as creating, updating, and deleting data sources, workflows, and tasks.

deco.host is a platform that simplifies MCP server deployment. It supports one-click deployment, centralized management of data sources and credentials, provides secure and scalable MCP services, and seamlessly integrates with tools such as deco.chat.

This is a curated list of Model Context Protocol (MCP) servers in the cryptocurrency field, containing multiple open - source projects that provide services such as blockchain data query, cryptocurrency trading, real - time market indices, and news and information.

This project is an implementation of an MCP server based on OpenSearch, providing semantic memory storage and retrieval functions for LLM applications such as Claude, and supporting the connection of AI tools and data sources through a standard protocol.

An MCP protocol server for extracting embedded data (such as i18n translations or key - value configurations) and SVG components from TypeScript/JavaScript source code, generating structured JSON configuration files and independent SVG files.

Ollama Chat with MCP is a project that demonstrates how to integrate a local language model with real-time web search functionality through the Model Context Protocol (MCP). It includes an MCP web search server, a terminal client, and a Gradio-based web front-end, enabling locally run LLMs to access external tools and data sources.

A CLI tool for retrieving personal data from sources such as Notion and Obsidian, storing it in Qdrant, and providing query services through the MCP server

The Pica MCP Server is a Model Context Protocol server built on TypeScript, providing the Pica platform with the ability to securely connect AI assistants to external tools and data sources.

MCP-Gateway is a service that provides unified management capabilities for MCP Server, helping AI agents quickly connect to various data sources, and supporting HTTP interface conversion, OpenAPI integration, and routing management.

Overview: This README.md file provides an overview of the MCP protocol and its components, including Hosts, Clients, Servers, local data sources, and remote services. It also demonstrates how to create a GitHub MCP Server to search for repositories, issues, and create new issues. In addition, it includes an example of integrating the MCP protocol with an SQLite database.

This experiment guides users on how to deploy an MCP server and integrate it into Microsoft Copilot Studio. Through a standardized protocol, it connects AI models with data sources to achieve real - time data access and joke generation functions.