MCP Partner Hub
A centralized repository for discovering and comparing Model Context Protocol (MCP) servers from ISV partners.
What is MCP Partner Hub?
MCP Partner Hub is a centralized repository designed for discovering and comparing Model Context Protocol (MCP) servers from ISV partners, facilitating easier access to AI model capabilities.
How to use MCP Partner Hub?
To use MCP Partner Hub, visit the repository on GitHub, where you can find detailed documentation on setting up and using various MCP servers, as well as comparison charts to help you choose the right server for your needs.
Key features of MCP Partner Hub?
- Centralized information about available MCP servers
- Standardized documentation for each MCP server
- Simplified comparison tools to evaluate different MCP servers
Use cases of MCP Partner Hub?
- Discovering suitable MCP servers for AI applications.
- Comparing features and capabilities of different MCP servers.
- Accessing documentation and resources for setting up MCP servers.
FAQ from MCP Partner Hub?
- What is the Model Context Protocol (MCP)?
MCP enables AI models to access external tools and data sources through a standardized interface.
- How can I contribute to the MCP Partner Hub?
Contributions are welcome! You can submit a pull request or open an issue if you know of an MCP server that should be included.
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 |
| TiDB | Distributed SQL database | GitHub | - |
| Confluent | Data streaming platform | GitHub | - |
| MongoDB | Document database | GitHub | - |
| Apache Doris | Real-time analytical database | GitHub | - |
| PagerDuty | Incident management platform | GitHub | - |
| Clickzetta | Cloud-native data analytics platform | GitHub | - |
| ProtonBase | PostgreSQL-compatible database | 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.