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The Agency — Multi-Agent OSINT Orchestrator

Under maintenance

Try for free

Multi-agent OSINT orchestrator that coordinates intelligent data collection across multiple sources. Dispatches specialized sub-agents for comprehensive research, competitive analysis, and actionable intelligence reports.

Pricing

from $10.00 / 1,000 task executeds

Rating

0.0

(0)

Developer

Creator Fusion

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Total users

Monthly active users

8 days ago

Last modified

Antigravity MCP Server

This is a Model Context Protocol (MCP) server that provides multi-agent orchestration capabilities. It exposes tools for tool selection, agent configuration, and provides token-optimized prompts for planning, validation, and synthesis.

Features

Tools

get_tools_for_skill(skill_key): Get optimized toolset for a skill.
get_agent_deployment_config(skill_key): Get full agent configuration.
list_skills(): List all available skills.

Prompts

planning_phase: Generate execution DAG.
qa_validation: Validate agent output.
synthesis: Merge outputs.

Resources

mcp://antigravity/agents/list: List of all agents as JSON.

Installation

# Using uv (recommended)
uv pip install .

# Or using pip
pip install .

Usage

As a standalone server

# Run the server
antigravity-mcp
# OR
python -m antigravity_server.server

Configuration in Claude Desktop / MCP Client

Add this to your MCP settings file:

"antigravity": {
  "command": "python",
  "args": ["-m", "antigravity_server.server"],
  "cwd": "path/to/antigravity-mcp-server"
}

Docker Usage (Recommended)

Docker provides an isolated environment and ensures the server runs consistently.

Build the Image

$docker build -t antigravity-mcp .

Run via Docker

To test it interactively (you may not see output unless you speak MCP JSON-RPC):

$docker run -i antigravity-mcp

Configure in Claude Desktop (Docker)

This is the cleanest way to use the server without polluting your local Python environment:

"antigravity": {
  "command": "docker",
  "args": ["run", "-i", "--rm", "antigravity-mcp"]
}

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