# LLM connection

Learn how to build an MCP server to connect LLMs via LangChain

An MCP server implementation for integrating LLM with SQL Server, providing functions such as database connection check, table structure query, and SQL execution

The Bounteous MCP Server is a service that implements the Model Context Protocol (MCP), providing standardized integration for LLM applications and version control systems (GitHub and GitLab), and supporting automated functions such as repository management, issue tracking, and code review.

mcp-browser-use is a tool that connects MCP clients (such as Claude or Cursor) to the browser through browser-use, without the need to pay additional LLM API fees and directly uses the existing LLM configuration of the client.

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.

Memgraph MCP Server is a lightweight implementation of the Model Context Protocol (MCP) server, aiming to connect the Memgraph graph database with large language models (LLMs) and provide Cypher query execution and schema information acquisition functions.

zk - mcp is an MCP server used to integrate zk - managed notes with LLMs, aiming to enable LLMs to efficiently access the knowledge base managed by zk.

Explore the principle of the MCP architecture and practice building it, including the development of Client and Server components and the experimental process of connecting to LLM services

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.