rodin-api-mcp
Rodin API MCP is a service based on the Model Context Protocol (MCP) that exposes Rodin's API to AI models. This service aims to simplify the interaction between AI models and the Rodin API. Rodin API MCP supports integration with various AI models and offers efficient data transmission and processing capabilities. This allows developers to easily incorporate the functionalities of the Rodin API into their AI applications.
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uv: Latest versionInstallation
Installation
Prerequisites
Please specify required software and versions:Installation Steps
1. Clone Repository
bash
git clone https://github.com/DeemosTech/rodin-api-mcp.git
cd rodin-api-mcp
2. Install Dependencies
bash
Refer to the official installation guide for uv.
https://docs.astral.sh/uv/getting-started/installation/
3. Configure Claude Desktop
Editclaude_desktop_config.json to add the MCP server:
json
{
"mcpServers": {
"rodin": {
"command": "uvx",
"args": [
"git+https://github.com/DeemosTech/rodin-api-mcp.git"
]
}
}
}
4. Restart Claude Desktop
If Claude Desktop is open, quit it and restart Claude Desktop.Troubleshooting
Common Issues
Issue: Server won't start Solution: Ensure that uv is installed correctly. Issue: Not recognized by Claude Desktop Solution: Verify the configuration file path and syntax.Configuration
Configuration
Basic Configuration
Claude Desktop Setup
Editclaude_desktop_config.json:
json
{
"mcpServers": {
"rodin": {
"command": "uvx",
"args": [
"git+https://github.com/DeemosTech/rodin-api-mcp.git"
]
}
}
}
Environment Variables
Set the following environment variables as needed:bash
export API_KEY="your-api-key"
export DEBUG="true"
Security Settings
Configuration Example
Basic Configuration
json
{
"mcpServers": {
"rodin": {
"command": "uvx",
"args": [
"git+https://github.com/DeemosTech/rodin-api-mcp.git"
]
}
}
}
Examples
Examples
Basic Usage
Here are basic usage examples for the MCP server:Using with Claude Desktop
Available tools from this MCP server:
- tool1: Description of tool1
- tool2: Description of tool2
Programmatic Usage
python
Python example
import requests
import json
def call_mcp_tool(tool_name, params):
response = requests.post(
'http://localhost:3000/mcp/call',
json={
'tool': tool_name,
'parameters': params
}
)
return response.json()
Usage example
result = call_mcp_tool('analyze', {
'input': 'sample data',
'options': {'format': 'json'}
})
Use Cases
Additional Resources
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