# LLM integration

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

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

Emacs MCP is a package that implements the Model Context Protocol (MCP) for Emacs. It enhances the capabilities of LLMs by providing Emacs environment information (such as loaded packages, available functions, key bindings, etc.), enabling them to extend Emacs configurations and write new packages.

The MCP server is used for the LLM integration process

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.

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

Anki MCP Server is a protocol server that enables interaction between LLM and the Anki flashcard software through the AnkiConnect API, supporting functions such as creating decks, adding notes, and searching for cards.

The Alby Bitcoin Payments MCP Server is a service that integrates a Bitcoin Lightning Network wallet with an LLM via Nostr Wallet Connect (NWC), supports the LNURL and L402 protocols, and provides both local and remote connection methods.

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.

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.

Tutorial on integrating MCP servers with LLM applications

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 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.

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 server that provides OpenStreetMap-related tools for LLM chatbots

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

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.

The Triplewhale MCP Server is a server based on the Model Context Protocol (MCP) standard, used to connect large language models (such as Claude) with the Triplewhale platform and implement functions such as data analysis through natural language.

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

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.

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 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.

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

The Kagi MCP Server is a tool that integrates Kagi's search and summarization APIs, providing web search and content summarization functions for large - language models, and supporting multiple communication protocols and API key management.

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.