# LLM integration

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.

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.

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.

This project is an MCP server that connects to Google Sheets, allowing LLM to directly access and manipulate spreadsheet data. It provides functions for obtaining basic information, querying data, and formatting, and supports integration with MCP clients such as Claude.

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.

Model Context Protocol (MCP) .NET sample library, demonstrating how to use the MCP protocol to standardize the context interaction of large language models (LLMs) in .NET applications. It includes examples such as a YouTube subtitle extractor, supports flexible switching of LLM providers, and enables the construction of AI workflows.

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.

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.

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

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.

This project demonstrates how to integrate a Model Context Protocol (MCP) server with multiple LLM agent frameworks, including Google ADK, LangGraph, OpenAI Agents, and Pydantic - AI. It connects different LLM providers through a standardized interface and uses Logfire for tracking and visualization.

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.

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

Todoist MCP Server Extended is a server implementation that integrates Claude or other MCP - compatible LLMs with Todoist, manages tasks through natural language, and optimizes the workflow efficiency of LLM.

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

A demonstration project showcasing the combination of the Model Context Protocol (MCP) with Pokemon data, including an MCP server, a client, and an HTTP server that allows LLMs to call Pokemon tools via OpenRouter.

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.

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

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

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.

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.

Tutorial on integrating MCP servers with LLM applications

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

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.

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

The MCP Command Server is a secure system command execution service designed specifically for LLM applications such as Claude, providing a controlled command execution environment.

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.