futurehouse-mcp 0.1.2

MCP server for FutureHouse platform integration

FutureHouse MCP Server

A Model Context Protocol (MCP) server for interacting with the FutureHouse platform. This server provides tools to submit tasks, manage jobs, and interact with FutureHouse's AI agents and environments.

Features

• Task Submission: Submit queries to available FutureHouse jobs
• Custom Agent Configuration: Configure agents with specific models and parameters
• Task Continuation: Continue previous tasks with follow-up questions
• Job Management: List available jobs and track task status
• Multiple Transport Modes: Support for stdio, HTTP, and SSE transports

Installation

# Install using uv (recommended)
uv add futurehouse-mcp

# Or install using pip
pip install futurehouse-mcp

Configuration

Environment Variables

Set your FutureHouse API key:

export FUTUREHOUSE_API_KEY="your_api_key_here"

MCP Client Configuration

Add to your MCP client configuration file:

stdio transport (recommended)

{
  "mcpServers": {
    "futurehouse-mcp": {
      "command": "uvx",
      "args": ["futurehouse-mcp", "stdio"],
      "env": {
        "FUTUREHOUSE_API_KEY": "your_api_key_here"
      }
    }
  }
}

HTTP transport

{
  "mcpServers": {
    "futurehouse-mcp": {
      "command": "uvx",
      "args": ["futurehouse-mcp", "server"],
      "env": {
        "FUTUREHOUSE_API_KEY": "your_api_key_here"
      }
    }
  }
}

Available Tools

futurehouse_submit_task

Submit a simple task to a FutureHouse job.

Parameters:

• job_name (string): Name of the job (e.g., "crow")
• query (string): The question or task to submit

Example:

Submit task to job "crow" with query "What is the molecule known to have the greatest solubility in water?"

futurehouse_submit_task_with_config

Submit a task with custom runtime configuration.

Parameters:

• job_name (string): Name of the job
• query (string): The question or task to submit
• agent_type (string, optional): Type of agent (default: "SimpleAgent")
• model (string, optional): Model to use (default: "gpt-4o")
• temperature (float, optional): Temperature setting (default: 0.0)
• max_steps (int, optional): Maximum steps (default: 10)
• agent_kwargs (dict, optional): Additional agent parameters

Example:

Submit task with custom config:
- job_name: "crow"
- query: "How many moons does earth have?"
- model: "gpt-4o"
- temperature: 0.0
- max_steps: 10

futurehouse_continue_task

Continue a previous task with a follow-up question.

Parameters:

• previous_task_id (string): ID of the previous task
• query (string): Follow-up question
• job_name (string): Name of the job

Example:

Continue task "task_123" with query "From the previous answer, specifically how many species of crows are there?"

futurehouse_list_available_jobs

List all available job names in the FutureHouse platform.

Example:

List all available jobs

futurehouse_create_agent_config

Create a custom agent configuration.

Parameters:

• agent_type (string, optional): Type of agent (default: "SimpleAgent")
• model (string, optional): Model to use (default: "gpt-4o")
• temperature (float, optional): Temperature setting (default: 0.0)
• additional_kwargs (dict, optional): Additional parameters

Usage Examples

Simple Task Submission

Use futurehouse_submit_task with:
- job_name: "crow"
- query: "What are the latest developments in quantum computing?"

Custom Agent Configuration

Use futurehouse_submit_task_with_config with:
- job_name: "crow"
- query: "Explain photosynthesis in simple terms"
- model: "gpt-4o"
- temperature: 0.1
- max_steps: 15

Task Continuation

# First, submit a task
Use futurehouse_submit_task with:
- job_name: "crow"
- query: "How many species of birds are there?"

# Then continue with a follow-up
Use futurehouse_continue_task with:
- previous_task_id: "task_from_previous_response"
- query: "From the previous answer, specifically how many species of crows are there?"
- job_name: "crow"

Development

Running Locally

# Clone the repository
git clone <repository-url>
cd futurehouse-mcp

# Install dependencies
uv sync

# Run with stdio transport
uv run python -m futurehouse_mcp.server stdio

# Run with HTTP transport
uv run python -m futurehouse_mcp.server main --host 0.0.0.0 --port 3001

Testing

# Install development dependencies
uv sync --group dev

# Run tests
uv run pytest

# Run with coverage
uv run pytest --cov=futurehouse_mcp

API Reference

The server provides access to FutureHouse platform capabilities including:

• Job Management: Submit and track tasks across different job types
• Agent Configuration: Customize AI agent behavior and parameters
• Task Continuation: Build conversations by continuing previous tasks
• Runtime Configuration: Control execution parameters like max steps

Contributing

1. Fork the repository
2. Create a feature branch
3. Make your changes
4. Add tests if applicable
5. Submit a pull request

License

This project is licensed under the MIT License - see the LICENSE file for details.

Support

For issues and questions:

• Check the documentation above
• Review the example scripts in the repository
• Open an issue on the GitHub repository

Authentication

This server requires a valid FutureHouse API key. To obtain an API key:

1. Log in to the FutureHouse platform
2. Go to your user settings
3. Generate an API key
4. Set it as the FUTUREHOUSE_API_KEY environment variable