Used for making asynchronous HTTP requests to external APIs, enabling the MCP server to fetch data from SuperiorAPIs endpoints.
Provides containerization support for the MCP server, allowing for consistent deployment across different environments with proper environment variable configuration.
Supported as a runtime environment for the MCP server, with specific environment variable setup instructions provided.
Supported as a runtime environment for the MCP server, with specific environment variable setup instructions provided.
Used for automatically generating data models from OpenAPI schemas, providing data validation and serialization for the dynamically loaded plugin definitions.
The core language used to implement the MCP server that dynamically generates tool functions based on plugin definitions from SuperiorAPIs.
MCP SuperiorAPIs Local
This project is a Python-based MCP Server that dynamically retrieves plugin definitions from SuperiorAPIs and auto-generates MCP tool functions based on their OpenAPI schemas.
It operates in stdio
mode, making it ideal for local development and testing with AI clients.
If you need to integrate using HTTP or SSE protocols, please refer to: CTeaminfo/mcp_superiorapis_remote
📂 Project Structure
🚀 Quick Start
1. Environment Preparation
Prerequisites:
- Python 3.13+
- Superior APIs Token (How to get)
2. Clone the Project
3. Install uv (if not installed)
4. Install Dependencies
5. Configure Environment Variables
Token Authentication Instructions:
- Get your token from Superior APIs
- Set the TOKEN environment variable before running the server
6. Start the Server
7. Verify Deployment
The server will:
- Fetch plugin data from SuperiorAPIs
- Dynamically generate MCP tool functions
- Register the tools
- Start the MCP server in stdio mode
🔌 MCP Client Integration
With uvx on Pip
Configure MCP server with uvx on pip(No need to download source code):
Local Mode
🔧 Startup Steps
Note:
- Dependencies only need to be installed once (using pip install -e . or uv sync)
- After a reboot, you only need to activate the virtual environment and set the environment variable
- Once the virtual environment is active, the command prompt will show a (venv) prefix
🔗 Related Links
- Superior APIs - Obtain your API Token
- MCP SuperiorAPIs Remote - HTTP/SSE version
- MCP Protocol - Official Model Context Protocol documentatio
MCPHub Certification
This project is officially certified by MCPHub.
View this project on MCPHub: 🔗 https://mcphub.com/mcp-servers/CTeaminfo/mcp-superiorapis
This server cannot be installed
remote-capable server
The server can be hosted and run remotely because it primarily relies on remote services or has no dependency on the local environment.
A Python-based MCP server that dynamically fetches plugin definitions from SuperiorAPIs and auto-generates tool functions based on OpenAPI schemas, enabling seamless integration with API services.
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