# LLM integration

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

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.

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.

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.

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.

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.

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

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.

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

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 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.

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.

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.

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.

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.

This project is an MCP service for PostgreSQL, providing read-only access to the database, supporting query execution and schema viewing, and suitable for LLM integration.

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

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

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.

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 Firebird databases, allowing LLMs to securely access and manipulate databases.

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.

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.

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.

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.

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

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