# Protocol Service

This project implements the MCP server for the Typecast API, providing a standardized way for MCP clients to interact with the text-to-speech service.

The MCP server of QA Sphere enables direct interaction between LLM and test cases

The Storm MCP server is an open protocol that enables seamless integration of LLM applications with RAG data sources and tools, supports custom embedded models and vector database connections, and provides functions such as context sharing, tool systems, and file management.

The HuLa MCP Service is a TypeScript implementation based on the Model Context Protocol, providing a backend service for the HuLa instant messaging application with functions such as resource access, tool operations, and context management.

The Exa MCP Server is a server that enables AI assistants (like Claude) to conduct web searches through the Exa AI Search API, using the Model Context Protocol (MCP) to achieve secure and controllable connections to external tools.

A server implementing the MCP protocol, supporting multiple AI agents to share and read responses to the same prompt.

A Spotify integration service based on the MCP protocol that allows an AI assistant to control and interact with the user's Spotify account, enabling functions such as playback control and playlist management.

The Verodat MCP service is a protocol server for integrating code and data into AI systems (such as Claude Desktop), providing functions such as account management, dataset operations, and AI queries.

An MCP server implemented for the Transcripter project, providing AI-based transcription search, summary generation, and other functions, supporting a standardized model interaction protocol.

An MCP service based on the Model Context Protocol specification, providing a standardized interface for interacting with Quick Chart. Supports getting chart image links and local service installation.

A Model Context Protocol (MCP) server implemented for the integration of SAP HANA cloud database and Cursor IDE, providing model management, execution environment configuration, and standardized communication interfaces.

This is a template project for building a Model Context Protocol (MCP) server, providing a basic service framework, tool definition examples, and error - handling mechanisms, and supporting integration with AI systems such as Claude.

The Rails MCP Server is a Model Context Protocol server implemented in Ruby, providing a standard interface for Rails projects to interact with large language models.

The VRChat MCP Server is a standardized protocol service for interacting with the VRChat API, providing access to various functions such as user authentication, friend information, avatar and world data.

A curated list of Model Context Protocol (MCP) servers optimized for AI assistants like Claude, providing various extended capabilities such as file access, database connection, and API integration.

The MCP server of TiDB AI, providing a Q&A interface for Cursor

Tabby-MCP-Server is a powerful Tabby plugin that implements the Model Context Protocol (MCP) server, enabling AI to control the terminal and automate operations.

An MCP protocol server implementation based on TypeScript and Express, focusing on payroll management functions and providing a standardized AI model interaction interface.

The Northbeam MCP Server is a Model Context Protocol service for accessing Northbeam marketing analytics data, providing functions for querying metrics, dimensions, channel performance, cohort analysis, and attribution data.

The BioContextAI Knowledge Base MCP is a model context protocol server designed for biomedical research that provides a standardized connection layer between AI systems and biomedical resources, supporting integrated access to multiple biomedical databases and tools.

The Kaltura MCP server is a service that implements the Model Context Protocol (MCP), providing AI models with standardized interaction capabilities with the Kaltura media management system, including media upload, metadata management, classification, and user management.

The Higress OPS MCP Server is a service implementation based on the Model Context Protocol (MCP) for configuring and managing the Higress gateway. The project also provides an MCP client based on LangGraph and LangChain MCP Adapters, which interacts with the Higress MCP Server through a proxy flow architecture.

A NestJS module for easily exposing AI tools, resources, and prompts via the Model Context Protocol (MCP), supporting multiple transport types and dependency injection.

An IMAP/SMTP email server based on the model context protocol, supporting email search, reading, sending, and management operations by AI assistants (such as Claude and Cursor) through natural language instructions.

Skim MCP Server is a production - level Model Context Protocol server based on the Skim project. It is specifically used for intelligent code compression to help AI assistants like Claude Code break through the context length limit and analyze large code projects.

The LM Studio MCP Server is a service based on the Model Context Protocol that allows AI assistants to remotely manage models through the LM Studio API, including functions such as viewing, loading, and unloading models.

A demonstration project of an MCP server based on TypeScript, showing the core concepts implemented through the project management system, including resource query and tool operation functions.

An MCP server prototype designed for Santa, driving the Santa toolchain through LLM

A server implementing the MCP protocol for seamless integration of AI model interactions with the Beamlit CLI

An AI model interaction server based on FastAPI and MCP protocol, providing standardized context interaction and high-performance API services.