macrocosm-os/macrocosmos-mcp

Overview

A Python implementation of the Model Context Protocol (MCP) for macrocosmos subnets. It enables developers to integrate AI models with macrocosmos subnet operations through a standardized interface.

Best for

Best for
Developers building MCP-compatible agents for macrocosmos subnets

Use cases

• Building AI agents that interact with macrocosmos subnets
• Integrating language models with macrocosmos subnet data
• Developing tools for macrocosmos subnet management via MCP

How to use

Install

curl -LsSf https://astral.sh/uv/install.sh | sh

Tools exposed

• query_on_demand_data
• create_gravity_task
• get_gravity_task_status
• build_dataset
• get_dataset_status
• cancel_gravity_task
• cancel_dataset

Tested with

Claude Desktop, Cursor, Windsurf, OpenAI Agents

Example client config

{\n  "mcpServers": {\n    "macrocosmos": {\n      "command": "uvx",\n      "args": ["macrocosmos-mcp"],\n      "env": {\n        "MC_API": "<insert-your-api-key-here>"\n      }\n    }\n  }\n}

Notes

A Python implementation of the Model Context Protocol (MCP) for macrocosmos subnets. It enables developers to integrate AI models with macrocosmos subnet operations through a standardized interface.

28 stars on GitHub. Last updated 2026-01-09.

Use cases

• Building AI agents that interact with macrocosmos subnets
• Integrating language models with macrocosmos subnet data
• Developing tools for macrocosmos subnet management via MCP

Pros

• Written in Python, easy to integrate into existing Python projects
• Open source with an MIT license, allows for customization
• Lightweight implementation focused on macrocosmos subnets

Cons

• Small user base (28 GitHub stars) means limited community support
• Documentation may be sparse given the early stage of the project
• Specific to macrocosmos subnets, not general-purpose MCP

Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.