An MCP server that gives Claude, ChatGPT, Microsoft Copilot, Cursor, VS Code and any other MCP host the Microtensor certified specialists as tools. Your API key stays in the server's environment; the agent only sees the tools.
| Tool | What it does |
|---|---|
ask_specialist(question, context="", model="mt/auto", quality_floor=0.9) |
Sends the request to mt/auto or a named model and returns the answer with the routing block: task, specialist, confidences, whether the floor was met, the operator and the request id |
list_models() |
The models the API serves, with task, quality and whether an operator holds them now |
routing_tasks() |
The tasks mt/auto routes today and the specialist each one goes to |
context becomes the system message (for SQL, the schema as CREATE TABLE statements) and question the user message. Errors come back as {error, message, status} so the agent can decide what to do.
pip install microtensor-mcp
or run it without installing:
uvx microtensor-mcp
Set MICROTENSOR_API_KEY to a key from https://www.microtensor.cloud/console/keys. MICROTENSOR_BASE_URL overrides the API (default https://api.microtensor.cloud/v1).
claude_desktop_config.json (macOS ~/Library/Application Support/Claude/, Windows %AppData%\Claude\):
{
"mcpServers": {
"microtensor": {
"command": "uvx",
"args": ["microtensor-mcp"],
"env": { "MICROTENSOR_API_KEY": "mt_sk_..." }
}
}
}
Same shape. VS Code takes it in .vscode/mcp.json under servers with "type": "stdio"; Cursor under Settings → MCP.
Both connect to MCP servers over HTTP. Run microtensor-mcp --http --port 8765 behind your own HTTPS endpoint and register that URL.
pip install -e ".[dev]"
ruff check . && mypy microtensor_mcp && pytest -q
Docs: https://www.microtensor.cloud/docs/integrations/agents/mcp