Macrocosmos MCP

مجتمعي البحث والويب

Real-time X, Reddit and YouTube data with filtering by search phrase, user and date.

التثبيت

خطوات التثبيت موجودة في التوثيق أدناه. التوثيق

التوثيق

مأخوذ من ملف README للمشروع على GitHub ويُحدَّث أسبوعيًا. تفتح الروابط على GitHub.

المحتويات
  1. Macrocosmos MCP
  2. Quickstart with Claude Desktop
  3. Available Tools
  4. Example Workflows
  5. Example Prompts

Macrocosmos MCP

Official Macrocosmos Model Context Protocol (MCP) server that enables interaction with X (Twitter) and Reddit, powered by Data Universe (SN13) on Bittensor. This server allows MCP clients like Claude Desktop, Cursor, Windsurf, OpenAI Agents and others to fetch real-time social media data.


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:

ParameterTypeDescription
sourcestringREQUIRED. Platform: 'X' or 'REDDIT' (case-sensitive)
usernameslistUp to 5 usernames. For X: @ is optional. Not available for Reddit
keywordslistUp to 5 keywords. For Reddit: first item is subreddit (e.g., 'r/MachineLearning')
start_datestringISO format (e.g., '2024-01-01T00:00:00Z'). Defaults to 24h ago
end_datestringISO format. Defaults to now
limitintMax results 1-1000. Default: 10
keyword_modestring'any' (default) or 'all'

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:

ParameterTypeDescription
taskslistREQUIRED. List of task objects (see below)
namestringOptional name for the task
emailstringEmail for notification when complete

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:

ParameterTypeDescription
gravity_task_idstringREQUIRED. The task ID from create_gravity_task
include_crawlersboolInclude detailed stats. Default: True

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:

ParameterTypeDescription
crawler_idstringREQUIRED. Get from get_gravity_task_status
max_rowsintMax rows to include. Default: 10000
emailstringEmail for notification when ready

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:

ParameterTypeDescription
dataset_idstringREQUIRED. The dataset ID from build_dataset

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:

ParameterTypeDescription
gravity_task_idstringREQUIRED. The task ID to cancel

7. cancel_dataset - Cancel Build or Purge Dataset

Cancel a dataset build or purge a completed dataset.

Parameters:

ParameterTypeDescription
dataset_idstringREQUIRED. The dataset ID to cancel/purge

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

الأسئلة الشائعة

ما هو Macrocosmos MCP؟

Real-time X, Reddit and YouTube data with filtering by search phrase, user and date.

كيف أثبّت Macrocosmos MCP؟

اتبع خطوات التثبيت في توثيقه المعروض في هذه الصفحة وفي مستودعه.

هل Macrocosmos MCP مفتوح المصدر؟

شيفرته علنية على GitHub، لكن المستودع لا يعلن ترخيصًا قياسيًا.

من يصون Macrocosmos MCP؟

ينشره macrocosm-os. يدرجه AI.tn لكنه لا يصونه ولا يوصي به.

من القوائم المجتمعية awesome-mcp-servers ومستودع المشروع على GitHub. الإدراج ليس توصية: راجع شيفرة الخادم وصلاحياته قبل منحه الوصول إلى بياناتك.