K8M is an AI-driven lightweight Kubernetes console tool that integrates large model capabilities, supports multi-cluster management, and provides MCP services.

WireMCP is an MCP server that provides real-time network traffic analysis capabilities for large language models (LLMs). It realizes data capture, threat detection, and network diagnosis by integrating the Wireshark tool.

MCP Solver is a server that exposes SAT, SMT, and constraint - solving capabilities to large language models through the Model Context Protocol (MCP).

HAL is an MCP server that provides HTTP API capabilities for large language models, supporting network requests through a secure interface and automatic generation of tools from OpenAPI specifications.

An interactive chat assistant that combines the capabilities of the Ollama large - model and PostgreSQL database access, supporting natural language querying of databases and generating SQL queries.

The ChatData MCP Server is a framework based on the Model Control Protocol, providing a toolset, prompt system, and resource management to enhance the capabilities of large language models.

MCP-Memos is a memo tool based on the MCP protocol, designed specifically for developers. It supports quick recording and retrieval of text information without switching applications. It uses large language models to provide powerful fuzzy search capabilities, including semantic understanding, context awareness, and natural language query functions.

The MCP Logical Solver is a powerful reasoning system that combines large language models and formal theorem - proving capabilities. It supports natural language and first - order logic input, performs automatic verification through Prover9/Mace4, and provides structured reasoning and explanations.

HAL is an MCP server that provides HTTP API capabilities for large language models, supporting network requests through a secure interface and automatic generation of tools from OpenAPI specifications.

A service based on FastMCP that allows large language models to connect to and operate on a PostgreSQL database, providing schema exploration, table structure query, and database query capabilities.

The OpenFGA MCP Server is an experimental Model Context Protocol service that enables large language models to read from and write to the OpenFGA authorization store, providing fine-grained permission management capabilities for AI agents and developers.

KIP is a graph interaction protocol designed for large language models, connecting LLMs with knowledge graphs and providing capabilities for memory persistence, knowledge evolution, and interpretable interaction.

FastApply MCP Server is an enterprise-level code intelligence platform that provides comprehensive code analysis, search, and refactoring capabilities through local AI models, AST semantic search, security scanning, and intelligent pattern recognition. It supports multi-language development and large codebase processing.

MCP Tools is a server project that implements the Model Context Protocol (MCP), providing file system and command execution tools for LLM clients such as Claude Desktop, and extending the local system interaction capabilities of large language models.

BioMCP is a biomedical R & D server based on the MCP protocol. By integrating protein databases and analysis tools, it enhances the capabilities of large language models in the field of protein structure analysis.

The Model Context Protocol (MCP) is an open - source protocol released by Anthropic, aiming to solve the standardization problem of connecting large language models (LLMs) with external data sources and systems. It provides a structured framework that enables models to integrate and utilize external context, thereby expanding their capabilities and improving response accuracy. MCP supports functions such as knowledge expansion, external tool calls, and pre - written prompts.

An MCP server that does not require local deployment, specifically designed for handling mathematical calculations. It can provide permanently accurate mathematical calculation capabilities for large language models through simple configuration.

This project integrates Graphistry's GPU-accelerated graph visualization platform with the Model Control Protocol (MCP), providing advanced graph analysis capabilities for AI assistants and large language models, and supporting multiple data formats and network analysis functions.

An MCP protocol server implementation based on Pyodide, providing Python code execution capabilities for large language models

Baidu Search MCP Server is a model context protocol service that provides Baidu search capabilities, including web content crawling and parsing functions, and is optimized for large language models' output.

Tencent Cloud COS MCP Server is a service that allows large models to quickly access Tencent Cloud Storage (COS) and CI capabilities without coding, providing cloud storage and processing functions such as file upload and download, image processing, and video processing.

This is a prototype of a code execution server based on the MCP protocol, which combines the code generation capabilities of large language models with MCP tool integration, enabling AI agents to run Python code in an isolated sandbox and invoke external tools.

An MCP server that connects large language models with The Guardian's article archives since 1999, providing real - time news, news analysis, and historical research capabilities.

MCP Character Tools is a server that provides character - level text analysis capabilities for large language models, solving the problem that LLMs have difficulty handling individual characters due to word segmentation, and offering more than 14 tools for character counting, spelling analysis, and text comparison.

Tencent Cloud COS MCP Server is a service based on the MCP protocol that allows large models to quickly access Tencent Cloud Storage (COS) and Cloud Infinite (CI) capabilities without coding, providing cloud storage and processing functions such as file upload and download, image processing, and video frame extraction.

The 302AI Basic MCP Server is a toolkit that enhances the basic capabilities of large language models. It supports dynamically loading a list of remote tools, provides multiple usage modes (local stdin or remote HTTP service), and includes practical tools such as Wiki search, Arxiv search, calculator, and code execution.

The Model Context Protocol (MCP) is an open-source protocol designed to enable Large Language Models (LLMs) to seamlessly interact with external tools, services, and data sources through a standardized interface, simplifying the integration process and expanding AI capabilities.

An MCP server implementation that provides event processing capabilities through Kafka integration and allows large language models to interact with Kafka topics through the model context protocol.

The openEuler MCP Servers repository is a repository for storing various MCP Servers, aiming to call various applications through the general large model context protocol (MCP) to expand the capabilities of large models, especially in the operating system field.

This project provides a series of Model Context Protocol (MCP) server implementations based on the Quarkus framework, used to extend the capabilities of large language model (LLM) applications that support MCP. It includes various services such as JDBC databases, file systems, JavaFX drawing, Kubernetes, and containers.

An MCP server implementation based on Flask, used to enhance the capabilities of large language models through external tools, supporting tool invocation, parameter parsing, and result injection.

An MCP server integrated with the MISP platform, providing threat intelligence capabilities for large language models, including malware detection, threat intelligence search, IoC submission, and report generation.

A Go-based Meilisearch MCP server that provides search capabilities for large language models

A weather data server tool developed based on the MCP SDK and TypeScript, providing real-time weather information access capabilities for large language models supporting the MCP through the Model Context Protocol (MCP).

An intelligent conversational robot project based on large models, supporting multi - platform access and multiple AI models, with text, voice, image processing, and plugin expansion capabilities, and can customize enterprise AI applications.

Awesome MCP Servers is a carefully curated collection of MCP (Model Context Protocol) servers to extend the capabilities of large language models (LLMs). This project lists various MCP server implementations by function, covering multiple professional domains such as databases, fintech, and knowledge memory, and provides development framework resources.

The Upnify MCP server is a Python - implemented model context protocol service that provides integration capabilities with the Upnify CRM system for AI assistants and large - language models, including prospect management, contact search, reminder creation, and sales reporting functions.

This project provides a Python - based MCP server for integrating OSV (open - source vulnerability) data with AI assistants or large - language models, and exposes tools and resources through the MCP protocol to enhance the workflows and capabilities of LLMs.