# 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.

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.

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

MySSL MCP Server is a website security detection tool developed by TrustAsia, which supports integration with LLM models for certificate security analysis.

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.

An example project of an MCP server demonstrating how to chat with DeepSeek and use MCP tool calls.

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

The PostgreSQL MCP Server is a model context protocol service that allows LLMs to interact with PostgreSQL databases, providing functions such as table creation, data CRUD operations, and schema inspection, and supports operations through the Claude desktop application.

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.

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.

Fluent MCP is a modern framework for building Model Context Protocol (MCP) servers with intelligent inference capabilities. It supports AI integration, tool separation, and offloading of complex inferences, and uses a dual - layer LLM architecture for efficient inference.

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 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.

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.

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.

An MCP service implementation that connects LLM applications with the Unleash feature flag system

MCP Assistant Server is an intelligent task analysis and tool recommendation server that integrates large language models, provides functions such as task analysis, tool recommendation, and context management, and supports use in development environments such as Cline and Cursor.

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.

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 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.

An MCP service for retrieving and analyzing Sentry issues, supporting the retrieval of a single event or a list of project events, facilitating LLM analysis or processing.

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.

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

A TypeScript - based Figma MCP server that implements the model context protocol, providing a standardized interface for LLMs to access Figma resources and supporting file, component, and variable management.

The WSB Analyst MCP Server is a service that retrieves and analyzes WallStreetBets data in real-time. It supports market analysis through LLM clients such as Claude and provides functions like post filtering, detailed analysis, and external link collection.

The MySQL MCP Server is a read-only database access tool that adheres to the Model Context Protocol (MCP), providing LLMs with MySQL database schema discovery and query execution capabilities.

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

The MCP server is used for the integration service of large language models (LLMs).

An MCP tool for retrieving and analyzing Sentry issues, supporting the retrieval of a single event or a list of project events, facilitating LLM analysis or processing.