Tripo MCP Server is an interface project that connects AI assistants and Tripo AI, supporting the generation of 3D assets through natural language and importing them into Blender.

Notebook Intelligence (NBI) is an AI coding assistant and extensible AI framework designed for JupyterLab. It supports models from GitHub Copilot and other LLM providers, including local Ollama models. It significantly enhances productivity through features such as code generation, auto - completion, and chat interfaces, and supports the integration of Model Context Protocol (MCP) services.

Tripo MCP Server is an interface tool that connects AI assistants with Tripo AI, supporting the generation of 3D assets from natural language and importing them into Blender.

The Wikipedia MCP Server is a tool that provides Wikipedia information query services for large language models. It enables real - time data access through a standardized protocol interface and includes functions such as searching, article retrieval, and summary generation.

Apifox MCP Server is a service that provides the interface documentation of Apifox projects as a data source to AI programming tools, supporting code generation and document query.

DiffuGen is an advanced local image generation tool that integrates the MCP protocol, supports multiple AI models (including the Flux and Stable Diffusion series), and can directly generate high-quality images in the development environment. It provides flexible configuration options, multi-GPU support, and can be integrated with multiple IDEs through the MCP protocol. It also provides an OpenAPI interface for external calls.

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.

The PubMed MCP Server is an interface service based on the Model Context Protocol, providing comprehensive access to the PubMed biomedical literature database for AI agents and research tools. It supports functions such as literature search, metadata acquisition, citation analysis, research plan generation, and data visualization, and is efficiently integrated through the NCBI E - utilities API.

The LinkedIn Model Context Protocol (MCP) server provides functions for automated interaction with LinkedIn through a standardized JSON - RPC interface, including job search, resume generation, cover letter writing, and job application management.

The Jimeng AI Image Generation MCP Service based on Volcengine provides standardized interfaces to generate high-quality images, supporting multiple ratios and customizable parameters.

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 FastMCP server implementation for connecting to the Replicate API, providing standardized interfaces to access multiple AI models. Currently, it supports the image generation function and is in the early development stage.

Outsource MCP is a unified interface service that supports multiple AI model providers. Through the MCP protocol, AI applications can conveniently call the text and image generation capabilities of different manufacturers.

This project builds a Retrieval Augmented Generation (RAG) server based on IBM Watsonx.ai, uses ChromaDB for vector indexing, and exposes interfaces through the Model Context Protocol (MCP). The system can process PDF documents and answer questions based on the document content, realizing an intelligent question answering function that combines large language models with specific domain knowledge.

Trellis MCP is an interface service that connects AI assistants with Trellis 3D generation models, supporting rapid generation of 3D assets through natural language and importing them into Blender. This project is based on an open - source model and requires self - deployment of the API backend. It is fast and free, but there are stability risks.

The Flux Image MCP Server is an image generation service based on the Flux Schnell model. It provides an API interface through the Replicate platform and supports image generation through text descriptions.

NijiVoice-MCP is an in - development project that implements the integration of the Model Context Protocol (MCP) with the Niji Voice API, enabling LLMs to easily call Niji Voice's text - to - speech functions through the MCP interface, including voice generation, getting the list of voice actors, and querying the balance.

A server for the Pollinations.ai service interface based on the MCP protocol, providing image and text generation functions

A Python-based document processing and Retrieval Augmented Generation (RAG) server that uses the DuckDB database to store embedding vectors, supports multiple file format processing, and provides a Web interface and API.

The Grok MCP plugin is an interface that provides the powerful features of Grok AI for Cline, supporting text generation, image analysis, and function calls.

The LinkedIn Model Context Protocol (MCP) Server provides functions for automated LinkedIn interactions through a standardized interface, including job search, resume generation, cover letter writing, and job application management.

KuzuDB MCP Server is a protocol server that provides access to graph databases, supporting web interface management, multi - agent coordination, automatic connection recovery, and AI - driven natural language query generation.

Baidu Smart Cloud Xiling Digital Human Open Platform provides 13 API interfaces based on the MCP protocol, supporting functions such as digital human video generation and voice cloning, and is compatible with various MCP proxy assistants for quick access.

Speech MCP is a voice interaction extension designed for Goose, providing real-time voice recognition, high-quality text-to-speech, multilingual support, and a modern audio visualization interface. It supports multi-character dialogue generation and audio transcription functions.

The Roblox Studio MCP server is a TypeScript implementation designed specifically for Roblox Studio development, providing resources, tools, and prompts, and supporting LLM applications to access Roblox Studio documentation, templates, and code generation features through standardized interfaces.

The Spiral MCP Server provides a standardized interface for the Spiral API, supporting text generation, file processing, and webpage content extraction functions.

This project is a GitHub MCP server based on FastAPI, providing API interfaces for interacting with GitHub, including functions such as getting user information, managing repositories, creating issues, etc., and supporting AI-assisted issue summary generation.

The Grok MCP plugin is an interface plugin that provides the powerful features of Grok AI for Cline, supporting text generation, image analysis, and function calling.

Vibehacker Metasploit MCP is a FastMCP - based interface for connecting to the Metasploit framework, enabling AI agents to invoke Metasploit's functions, including exploitation, payload generation, target scanning, and session management.

An OpenAI text completion service based on the MCP protocol that provides a standardized text generation interface for LLMs and supports asynchronous processing and request cancellation functions.

An image generation MCP server based on the Flux.1 Schnell model, providing high-quality image generation services through Together AI, supporting customizable parameters and standardized interfaces.

This is an FDIC bank data query service based on Rust, providing a standardized MCP interface, supporting fast generation of API endpoints, automated documentation, and parameter validation.

An MCP server implemented for the OpenAI API, providing a standardized interface to connect Augment with OpenAI language models, supporting functions such as chat completion, model listing, and embedding generation.

An MCP server project based on the Ollama LLM model, providing Wikipedia article retrieval and summary generation functions, including a command-line client and a Streamlit web interface.

The Gaia MCP Server is a server implementation based on the Model Context Protocol (MCP), supporting communication with large language models (LLMs) through stdio and SSE. It provides a standardized tool - calling interface and especially integrates AI image generation and processing functions.

An MCP server implementation based on the Cloudflare Flux 1 Schnell AI model, providing a service interface for text-to-image generation.

This project implements an SSE MCP server that integrates the APIs of HuggingFace and Replicate, providing image generation and model management tools, and supporting a standardized AI model interaction interface.

An MCP server that supports Claude to send API requests on behalf of users, providing various API testing tools, including a dedicated OpenAI interface, and supporting HTTP requests and DALL - E image generation.

The MCP Continuity Server is a project status management tool based on MCP SDK 1.7.0. It provides cross - session status saving, repository analysis, and intelligent prompt generation functions, including a Web management interface and support for automated testing.

A FastMCP server implementation for connecting to the Replicate API, providing a standardized interface to access multiple AI models. Currently, it supports the image generation function and is in the early development stage.