AI 机器学习 资源

All-In-One Automation Platform for AI Agents: Browser, API Testing, and More

Tally Prime MCP (Model Context Protocol) Server implementation to feed Tally ERP data to popular LLM like Claude, ChatGPT supporting MCP

MCP CamStream Analyzer is a tool for collecting and analyzing content from cameras and RTSP video streams. It supports integration with any OpenAI-compatible API for detailed content analysis.

A Model Context Protocol (MCP) server for AIXBT data API.

MCP Server for LLM Integration Process

A lightweight and extensible service that enables AI assistants to securely execute OpenStack CLI commands via the Model Context Protocol (MCP).

MCP(Model Context Protocol) helps you build agents and complex workflows on top of LLMs. LLMs frequently need to integrate with data and tools, and MCP provides:

This repository contains a Model Context Protocol (MCP) server that allows MCP clients (like Cursor) to execute Mathematica code via wolframscript and verify mathematical derivations.

This is a Model Context Protocol (MCP) server that integrates with the Findymail API to provide email validation and finding capabilities.

Enhance Claude's reasoning capabilities with the integration of DeepSeek R1's advanced reasoning engine. This server enables Claude to tackle complex reasoning tasks by leveraging the reasoning capabilites of deepseek r1 model.

a model context protocol (mcp) server that provides ai assistants with information about alana goyal and basecase, based on alanagoyal.com and basecase.vc. the server integrates with popular ai development environments like windsurf and cursor.

A Unity Master Control Protocol (MCP) implementation that allows AI agents to control and interact with Unity.

A Machine Conversation Protocol (MCP) server that provides stock market data and analysis tools using the Finnhub API.

This is a Model Context Protocol (MCP) server that connects to a Coreflux MQTT broker and makes Coreflux and MQTT actions available as tools for Claude and other MCP-compatible AI assistants.

A simple custom component for Langflow that provides datetime-related tools with timezone support.

This is a Model Context Protocol (MCP) server that provides ID generation capabilities to AI assistants.

This project enables AI assistants to execute Python code on RunPod infrastructure using the Model Context Protocol (MCP). It consists of two main components:

This repository contains the source code for a Model Context Protocol (MCP) server that provides access to the Perplexity AI API. This server allows users to interact with Perplexity AI through various tools, including chatting, searching, and retrieving documentation.

Supercharge your AI Agent's capabilities! PyMCPAutoGUI provides a bridge between your AI agents (like those in Cursor or other MCP-compatible environments) and your computer's graphical user interface (GUI). It allows your agent to see the screen , control the mouse and keyboard , and interact with windows , just like a human user!

This repository contains Model Context Protocol (MCP) server implementations for various AI models.

This is a Model Context Protocol (MCP) server for the DealX platform. It allows LLMs to interact with the DealX platform, specifically to search for ads.

The Model Context Protocol (MCP) is an open protocol that enables seamless integration between LLM applications and external data sources and tools. Whether youre building an AI-powered IDE, enhancing a chat interface, or creating custom AI workflows, MCP provides a standardized way to connect LLMs with the context they need.

A Model Context Protocol (MCP) server for interacting with Databricks.

The Model Context Protocol (MCP) is an open standard that enables developers to build secure, two-way connections between their data sources and AI-powered tools. The architecture is straightforward: developers can either expose their data through MCP servers or build AI applications (MCP clients) that connect to these servers.

An AI infrastructure-as-code platform using Model Context Protocol (MCP) with Ollama for agentic coding and server management.

A lightweight, efficient server implementation for handling context operations with large language models.

A Model Context Protocol (MCP) server implementation for the Linear GraphQL API that enables AI assistants to interact with Linear project management systems.

Model Context Protocol (MCP) is a new, standardized protocol for managing context between large language models (LLMs) and external systems. In this repository, we provide an installer as well as an MCP Server for Triplewhale.

A Model Control Protocol (MCP) server that allows cross-checking responses from multiple LLM providers simultaneously. This server integrates with Claude Desktop as an MCP server to provide a unified interface for querying different LLM APIs.

MCP DeepSeek Model Context Protocol (MCP) DeepSeek AI MCP DeepSeek API

This repository contains a collection of Model Context Protocol (MCP) servers developed by me with the assistance of AI tools. MCP refers to servers designed to interact with large language models (LLMs) like Claude, Perplexity, and others, providing specialized interfaces for different use cases.

A Python implementation of the Model Context Protocol (MCP) client-server application. This project provides a robust interface for interacting with MCP servers, featuring weather data functionality and other services.

A Model Context Protocol (MCP) server providing astrological chart functionality for AI assistants.

MCP Server ThinkInAIXYZ/go-mcp

Luma AIAPIModel Context Protocol (MCP)

zk-mcp is an MCP server for integrating notes managed by zk with LLMs. It aims to enable LLMs to efficiently access knowledge bases managed under zk.

SmallCloud MCP Server Demonstration of an Anthropic MCP server using the Model Context Protocol SDK by Anthropic. For use with Claude Desktop and other MCP Hosts.

This project provides an async Python server for interacting with the PubTator3 API. It exposes multiple biomedical text-mining tools compatible with the MCP agent protocol, supporting tasks such as entity lookup, biomedical literature search, and text extraction from PubMed/PMC articles.

mcp-pyautogui implements a Model Context Protocol (MCP) server for PyAutoGUI. It provides control of mouse, keyboard, and screen interactions, allowing AI systems to automate tasks on a host machine.

(docent) MCP . AI .

A Model Context Protocol (MCP) server implementation for Portkey. This application serves as a bridge for connecting various AI tools and services to Portkey through the Model Context Protocol.

OPNsense is a powerful open-source firewall and routing platform built on FreeBSD. Managing OPNsense typically involves using its web interface or interacting directly with its comprehensive API. This project offers a way to manage your OPNsense firewall using natural language through AI clients like Claude Desktop. It does this by providing a Python server that implements Anthropic's Model Context Protocol (MCP), a standard allowing AI models to securely connect to and utilize external tools. This server listens for requests from MCP clients, translates them into the appropriate OPNsense API calls, and returns the results.

Model Context Protocol (MCP) Surge.sh AI Surge

Typst MCP Server is an MCP (Model Context Protocol) implementation that helps AI models interact with Typst, a markup-based typesetting system. The server provides tools for converting between LaTeX and Typst, validating Typst syntax, and generating images from Typst code.

An MCP (Model Context Protocol) server that provides a clean interface for LLMs to use chat completion capabilities through the MCP protocol. This server acts as a bridge between an LLM client and any OpenAI-compatible API. The primary use case is for chat models, as the server does not provide support for text completions.

python IDE

VibeShift is an intelligent security agent designed to integrate seamlessly with AI coding assistants (like Cursor, GitHub Copilot, Claude Code, etc.). It acts as your automated security engineer, analyzing code generated by AI, identifying vulnerabilities, and facilitating AI-driven remediation before insecure code makes it to your codebase. It leverages the MCP (Model Context Protocol) for smooth interaction within your existing AI coding environment.

An MCP (Model Context Protocol) server that allows running Claude Code in one-shot mode with permissions bypassed automatically.

A powerful YOLO (You Only Look Once) computer vision service that integrates with Claude AI through Model Context Protocol (MCP). This service enables Claude to perform object detection, segmentation, classification, and real-time camera analysis using state-of-the-art YOLO models.

MCP server for Awesome-llms-txt. Add documentation directly into your conversation via mcp resources.

AgentDock is a Model Context Protocol (MCP) server with a clean UI to register, manage, and interact with intelligent agents. It enables multi-agent orchestration, tool integrations (e.g., GitHub, Slack, Jira), and LLM-powered interactions via Groq.

A team of Agent Personas wrapped in an MCP server that has the ability to leverage at scale massive compute by wrapping various LLM providers to perform activities as an Agile Team Persona.

This project implements an MCP (Model Context Protocol) server and client for building agentic RAG (Retrieval-Augmented Generation) applications. The server provides a set of tools that can be used to enhance the performance of RAG systems, such as entity extraction, query refinement, and relevance checking. The client demonstrates how to connect to the server and use its tools.

A tool server for easy integration with Dify Workflow using the Model Context Protocol (MCP).

In this repo, we have a collection of "community contributed" OpenMCP services that works with any MCP compatible LLM application or framework.

The OwlPay Harbor MCP Server provides documentation search capabilities. This server enables large language models (LLMs) to directly retrieve documentation, accelerating system integration.