An MCP server that acts as a bridge to query multiple OpenAI-compatible LLMs with MCP tool access. Just like rubber duck debugging, explain your problems to various AI "ducks" who can actually research and get different perspectives!
An MCP server that acts as a bridge to query multiple OpenAI-compatible LLMs with MCP tool access. Just like rubber duck debugging, explain your problems to various AI "ducks" who can actually research and get different perspectives!
npx -y mcp-rubber-duckAdd this configuration to your claude_desktop_config.json:
{
"mcpServers": {
"nesquikm-mcp-rubber-duck-github": {
"command": "npx",
"args": [
"-y",
"npx -y mcp-rubber-duck"
]
}
}
}Restart Claude Desktop, then ask:
"What tools do you have available from mcp rubber duck?"
API Key Required
This server requires an API key from mcp rubber duck. Add it to your environment or config.
| Variable | Required | Description |
|---|---|---|
| MCP_RUBBER_DUCK_API_KEY | Yes | Your mcp rubber duck API key |
"What resources are available in mcp rubber duck?"
Claude will query available resources and return a list of what you can access.
"Show me details about [specific item] in mcp rubber duck"
Claude will fetch and display detailed information about the requested item.
"Create a new [item] in mcp rubber duck with [details]"
Claude will use the appropriate tool to create the resource and confirm success.
We build custom MCP integrations for B2B companies. From simple connections to complex multi-tool setups.