# LLM integration

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

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 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.

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

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.

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

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.

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

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

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

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

The Logfire MCP server is a model context protocol service based on OpenTelemetry, which provides the ability for LLM to access application telemetry data and supports exception tracing and custom SQL queries.

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.

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.

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.

The EOSC Data Commons MCP Server provides an HTTP interface to help users find the required datasets and tools through a search API and large language models.

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 MCP server is used for the LLM integration process

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 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.

MCP development server and multi-platform LLM client support

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.

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.

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 MCP server designed for Claude Desktop that can obtain transcripts via YouTube video URLs, expanding the application scenarios of LLM functions.

Quarkus MCP server extension, which provides a declarative API to simplify the implementation of MCP protocol server-side functions and supports HTTP/SSE transport protocols.