# LLM integration

A NodeJS-based MySQL MCP server that provides read-only database access capabilities, supporting LLMs to query the database structure and execute read-only queries.

An MCP server that provides OpenStreetMap-related tools for LLM chatbots

The Senechal MCP Server is a middleware that provides health data interfaces for LLM applications. It connects the Senechal API and language models through a standardized protocol, supporting resource loading, tool calls, and prompt template functions.

NWC MCP Server is a tool that connects a Bitcoin Lightning Network wallet to an LLM via the Nostr Wallet Connect protocol and supports multi - platform integration.

The NiFi MCP project provides a chat interface based on natural language interaction, allowing users to interact with Apache NiFi instances through LLM models, supporting querying, documenting, and operating NiFi components.

MCP development server and multi-platform LLM client support

The Insight MCP Server is a software development automation and development assistance service based on LLM integration, supporting multiple LLM providers and workflow automation.

A PHP-based tool for quickly building MCP servers, supporting the creation of tools, exposure of resources, and definition of prompts, simplifying LLM context management.

The Couchbase MCP server is a server that implements the MCP protocol, allowing LLMs to directly interact with the Couchbase cluster, providing functions such as queries and document CRUD operations, and supporting connections from multiple MCP clients.

The Browserbase MCP Server is an open - source project based on the Model Context Protocol (MCP), providing cloud browser automation capabilities, supporting web page interaction, data extraction, screenshot taking, and JavaScript execution, etc., to help LLM applications seamlessly integrate with external data sources and tools.

A Kubernetes management server based on the MCP protocol that enables control of Kubernetes clusters through natural language interaction.

A Model Context Protocol server implementation for accessing the Up Bank API, aiming to test the API to explore its potential uses in daily LLM usage, such as transaction record management and consumption habit analysis.

An MCP server that connects to a ClickHouse database, supporting data analysis through natural language queries and integrating with LLMs such as Claude.

MCP Firebird is a service that implements the Anthropic Model Context Protocol (MCP) for the Firebird database, allowing large language models such as Claude to securely access and analyze database content.

MCP Firebird is a service that implements the Anthropic Model Context Protocol (MCP) for Firebird databases, allowing LLMs to securely access and manipulate databases.

The SingleStore MCP Server is a service based on the Model Context Protocol (MCP) for managing context between large language models (LLMs) and external systems. It supports interacting with SingleStore through natural language and simplifies complex operations.

A lightweight MCP server that retrieves relevant documentation content from popular AI libraries such as LangChain, LlamaIndex, and OpenAI by combining web search and content parsing, providing language models with the function of dynamically querying the latest documentation.

An AI agent based on Pydantic and Chainlit, supporting web browsing and multi-command protocol interaction

An Alpaca trading MCP server implemented in Python, allowing large language models (such as Claude) to interact with the Alpaca trading API through the standardized Model Context Protocol, supporting functions such as account management, market data query, and trading operations.

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.

swagger-mcp is a tool for dynamically generating API tools. By parsing the JSON file of Swagger UI, it provides runtime-generated tool definitions for MCP clients. It supports multiple authentication methods and can be integrated with local or cloud-based LLM models.

Prompt Cleaner is an MCP server based on TypeScript, providing prompt cleaning tools and health check functions. The main functions include sensitive information desensitization, structured output, client-friendly content standardization, support for configuring LLM parameters through environment variables, and following the single model strategy to ensure behavior determinacy.

A complete MCP server application based on Windows Forms, integrating LLM API calls, a modern chat interface, tool management, and a configuration system. It can serve as a reference for enterprise-level desktop program development.

The MuseScore MCP server is a protocol service that connects MuseScore with LLM clients, supporting basic music creation through natural language, such as adding notes, deleting, creating tuplets, etc.

Geekbot MCP is a bridge service that connects LLM applications with the Geekbot workspace, providing the ability to access team data through natural language interaction.

A server project that allows LLMs to directly access Google Sheets data via the MCP protocol

The Neon MCP Server is a server based on the Model Context Protocol (MCP) standard, used to manage the context interaction between large - language models (LLMs) and the Neon database. It supports performing database operations through natural language instructions, such as creating projects, managing branches, running SQL queries, and migrations.

The MCP server is used for the LLM integration process

The Nostr MCP Server is a service that provides Nostr network interaction capabilities for LLMs such as Claude, supporting functions such as obtaining user profiles, notes, long - form content, and tipping records.

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.