# Protocol service

StableMCP is a model context protocol (MCP) server based on JSON - RPC 2.0 for generating images through Stable Diffusion.

An MCP server implementation based on Elixir, supporting secure interaction between AI models and local and remote resources via the SSE protocol.

An MCP server that connects AI assistants with the Metabase analytics platform, providing functions such as data query and dashboard access, and supporting two authentication methods.

The Integrator MCP Server is a legacy model context protocol server that can convert Integrator automated workflows into tools that can be called by AI assistants, enabling two-way interaction.

A proof - of - concept project for a server implementing the Model Context Protocol (MCP), providing custom tools and resources to enhance the capabilities of AI assistants, including document search, web page crawling, and Google Search API integration.

Keycloak MCP Server is a service based on the Quarkus framework, used to implement the Model - Context Protocol (MCP) standard and integrate with Keycloak to provide identity and access management solutions.

This project provides a series of Model Context Protocol (MCP) servers for enhancing the external capabilities of AI assistants, including independent implementation modules for specific functions such as educational course queries.

Binance P2P model context protocol server

The Databricks MCP Server is a service based on the MCP protocol that allows LLM tools to interact with the Databricks platform, providing management functions for clusters, jobs, notebooks, etc.

OpenRouter language model conversation management server based on the MCP protocol

Code Index MCP is a code indexing and analysis server based on the Model Context Protocol (MCP), providing functions such as code search, file analysis, and intelligent filtering. It supports multiple programming languages and helps developers efficiently manage codebases.

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 model context protocol server for connecting to the Jean API

Snowflake MCP Service is a server that implements the Model Context Protocol (MCP), providing the ability for MCP-compatible clients to access Snowflake databases. It supports two authentication methods: password and key pair, and includes core functions such as connection management and query processing.

This project is an implementation of an MCP server based on OpenSearch, providing semantic memory storage and retrieval functions for LLM applications such as Claude, and supporting the connection of AI tools and data sources through a standard protocol.

A Medullar space data retrieval server based on the MCP protocol, providing the function of obtaining user space data.

The AIStor MCP server is a service based on the Model Context Protocol (MCP) for interacting with AIStor object storage, supporting multiple operations including read - write, delete, management, and AI functions.

A personalized 'Model Context Protocol' (MCP) server has been released. It's similar to JARVIS but with a more distinct style and supports handling complex problems.

An extensible model context protocol server that provides standardized access to social platform data and on-chain data.

An MCP protocol server for accessing Metaplex documentation and repository information

A Model Context Protocol server for integrating Ollama with MCP clients such as Claude Desktop

A server-side demonstration project based on the Model Context Protocol, developed using TypeScript

An MCP protocol server based on TypeScript, used for AI assistants to discover and access a structured Markdown instruction library. Provide centralized knowledge base management through a standardized interface, supporting instruction search, version control, and consistency maintenance.

GhidrAssistMCP is a powerful Ghidra extension that enables AI assistants and other tools to interact with Ghidra's reverse engineering capabilities through a standardized API by implementing a Model Context Protocol (MCP) server.

DB MCP Server is a multi-database supported server that implements the Model Context Protocol (MCP) and provides AI assistants with the ability to access databases in a structured manner. It supports MySQL and PostgreSQL, can connect to multiple databases simultaneously, automatically generates dedicated tools, and follows a clear architecture design.

Unichat MCP Server is a multi-model chat protocol server implemented in TypeScript, which supports sending requests to AI providers such as OpenAI and MistralAI through the MCP protocol and provides preset prompt functions such as code review and document generation.

The TestRail MCP Server is an interface service based on the Model Context Protocol, enabling standardized interaction with the TestRail test management system.

The JetBrains MCP server plugin enables seamless integration between LLMs and IDEs and provides extension points for custom tools.

The ORMCP Server is a server based on the Model Context Protocol (MCP) that connects AI applications to any relational database. It enables two-way communication between JSON data and the database through Object Relational Mapping (ORM).

This is an MCP server that provides AI assistants with comprehensive access to Cisco Webex messaging functions. It includes 52 tools and supports enterprise-level functions such as message sending, space management, team collaboration, user management, and Webhook integration. It also supports Docker containerization and dual transport modes.