Macrocosmos MCP

<p align="center"> Official Macrocosmos <a href="https://github.com/modelcontextprotocol">Model Context Protocol (MCP)</a> server that enables interaction with X (Twitter) and Reddit, powered by Data Universe (SN13) on Bittensor. This server allows MCP clients like <a href="https://www.anthropic.com/claude">Claude Desktop</a>, <a href="https://www.cursor.so">Cursor</a>, <a href="https://codeium.com/windsurf">Windsurf</a>, <a href="https://github.com/openai/openai-agents-python">OpenAI Agents</a> and others to fetch real-time social media data. </p>

Quickstart with Claude Desktop

1. Get your API key from Macrocosmos. There is a free tier with $5 of credits to start.
2. Install uv (Python package manager), install with curl -LsSf https://astral.sh/uv/install.sh | sh or see the uv repo for additional install methods.
3. Go to Claude > Settings > Developer > Edit Config > claude_desktop_config.json to include the following:

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

Available Tools

1. query_on_demand_data - Real-time Social Media Queries

Fetch real-time data from X (Twitter) and Reddit. Best for quick queries up to 1000 results.

Parameters:

Example prompts:

• "What has @elonmusk been posting about today?"
• "Get me the latest posts from r/bittensor about dTAO"
• "Fetch 50 tweets about #AI from the last week"

2. create_gravity_task - Large-Scale Data Collection

Create a Gravity task for collecting large datasets over 7 days. Use this when you need more than 1000 results.

Parameters:

Task object structure:

{
  "platform": "x",           // 'x' or 'reddit'
  "topic": "#Bittensor",     // For X: MUST start with '#' or '$'
  "keyword": "dTAO"          // Optional: filter within topic
}

Important: For X (Twitter), topics MUST start with # or $ (e.g., #ai, $BTC). Plain keywords are rejected.

Example prompts:

• "Create a gravity task to collect #Bittensor tweets for the next 7 days"
• "Start collecting data from r/MachineLearning about neural networks"

3. get_gravity_task_status - Check Collection Progress

Monitor your Gravity task and see how much data has been collected.

Parameters:

Returns: Task status, crawler IDs, records_collected, bytes_collected

Example prompts:

• "Check the status of my Bittensor data collection task"
• "How many records have been collected so far?"

4. build_dataset - Build & Download Dataset

Build a dataset from collected data before the 7-day completion.

Warning: This will STOP the crawler and de-register it from the network.

Parameters:

Example prompts:

• "Build a dataset from my Bittensor crawler with 5000 rows"
• "I have enough data, build the dataset now"

5. get_dataset_status - Check Build Progress & Download

Check dataset build progress and get download links when ready.

Parameters:

Returns: Build status (10 steps), and when complete: download URLs for Parquet files

Example prompts:

• "Is my dataset ready to download?"
• "Get the download link for my Bittensor dataset"

6. cancel_gravity_task - Stop Data Collection

Cancel a running Gravity task.

Parameters:

7. cancel_dataset - Cancel Build or Purge Dataset

Cancel a dataset build or purge a completed dataset.

Parameters:

Example Workflows

Quick Query (On-Demand)

User: "What's the sentiment about $TAO on Twitter today?"
→ Uses query_on_demand_data to fetch recent tweets
→ Returns up to 1000 results instantly

Large Dataset Collection (Gravity)

User: "I need to collect a week's worth of #AI tweets for analysis"

1. create_gravity_task → Returns gravity_task_id
2. get_gravity_task_status → Monitor progress, get crawler_ids
3. build_dataset → When ready, build the dataset
4. get_dataset_status → Get download URL for Parquet file

Example Prompts

On-Demand Queries

• "What has the president of the U.S. been saying over the past week on X?"
• "Fetch me information about what people are posting on r/politics today."
• "Please analyze posts from @elonmusk for the last week."
• "Get me 100 tweets about #Bittensor and analyze the sentiment"

Large-Scale Collection

• "Create a gravity task to collect data about #AI from Twitter and r/MachineLearning from Reddit"
• "Start a 7-day collection of $BTC tweets with keyword 'ETF'"
• "Check how many records my gravity task has collected"
• "Build a dataset with 10,000 rows from my crawler"

MIT License Made with love by the Macrocosmos team