MCP Partner Hub
A centralized repository for discovering and comparing Model Context Protocol (MCP) servers from ISV partners.
zytbeyond
README
MCP Partner Hub
A centralized repository for discovering and comparing Model Context Protocol (MCP) servers from ISV partners.
What is MCP?
The Model Context Protocol (MCP) enables AI models to access external tools and data sources through a standardized interface. MCP servers extend AI capabilities by providing access to databases, APIs, and other services.
Why This Repository?
Finding the right MCP server can be challenging. This repository aims to:
- Centralize Information: Collect details about available MCP servers in one place
- Standardize Documentation: Present consistent information about each MCP server
- Simplify Comparison: Help users evaluate and choose the right MCP server for their needs
Getting Started
- Getting Started with MCP Servers - Learn how to set up and use MCP servers
- MCP Server Comparison - Compare different MCP servers to find the right one for your needs
Available MCP Servers
Partner | Description | Repository | Documentation |
---|---|---|---|
Zilliz (Milvus) | Vector database for AI applications | GitHub | Blog |
OceanBase | Distributed relational database | GitHub | - |
StarRocks | Real-time analytics database | GitHub | - |
Databricks | Data intelligence platform | GitHub | Community |
SeaTunnel | Data integration platform | GitHub | - |
Snowflake | Data cloud platform | GitHub | - |
Dify | LLMOps platform | GitHub | Blog |
MongoDB | Document-oriented NoSQL database | GitHub | - |
Apache Doris & VeloDB | High-performance analytical database | GitHub | - |
Confluent | Data streaming platform based on Apache Kafka | GitHub | - |
PagerDuty | Incident management platform | GitHub | - |
Contributing
We welcome contributions! If you know of an MCP server that should be included, please submit a pull request or open an issue. See our Contributing Guide for more information.
License
This repository is licensed under the MIT License - see the LICENSE file for details.
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