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  3. Macrocosmos MCP
Macrocosmos MCP logo
Health: ActiveRecent health check succeeded.Last checked 9/9/2026, 8:32:27 PM

Macrocosmos MCP

User RatingsBe the first to rate and review this MCP server!
View Repository29 GitHub StarsTotal stargazers on GitHub for the source repository (29 stars).Visit Website
social-mediaxredditdata-extractiondatasets

Queries real-time X and Reddit data, or manages multi-day collection jobs and downloadable datasets.

Quick Install

Automated & IDE Setup

Copy the AI prompt to install this server into Claude Code, Cursor, or another agent โ€” or use 1-click editor setup below.

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We haven't yet run this listing's install command through our automated sandbox check. This isn't a red flag โ€” we're steadily working through the catalog.

Manual Client & Custom JSON ConfigExpand JSON โ–พ

Client Config & Setup

Choose your client or environment
Target File:~/Library/Application Support/Claude/claude_desktop_config.json
claude_desktop_config.json
{
  "mcpServers": {
    "macrocosm-os-macrocosmos-mcp": {
      "command": "uvx",
      "args": [
        "macrocosmos-mcp"
      ]
    }
  }
}

๐Ÿ’ก Paste the JSON block into your client's configuration file under mcpServers, then restart the application.

Install Directory Badge Claim listing Alternatives๐ŸŒ More in Social Media

Overview

The macrocosm-os/macrocosmos-mcp MCP server gives compatible AI clients access to real-time X and Reddit data through Macrocosmos. It supports filtered on-demand queries by users, keywords, dates, and result limits, plus Gravity tasks for larger collections over seven days. Dataset tools track collection, build Parquet files, provide download links, and cancel active jobs. Use it when an agent needs current social posts or a managed dataset rather than static web search results.

Use cases

โ€ขQuery recent X posts by user, topic, or date
โ€ขSearch Reddit posts within a specified subreddit
โ€ขCreate seven-day social data collection jobs
โ€ขBuild downloadable Parquet datasets from collected records

Key features

โ€ขReal-time X and Reddit queries
โ€ขUser, keyword, date, and result filtering
โ€ขSeven-day Gravity collection tasks
โ€ขCrawler and dataset status tracking
โ€ขParquet dataset download links
โ€ขCollection and dataset cancellation

Capabilities & Tool Schemas

Inspect callable tools, capabilities, and parameters exposed to AI agents by Macrocosmos MCP.

Extracted Tool Capabilities
Real-time X and Reddit queries
User, keyword, date, and result filtering
Seven-day Gravity collection tasks
Crawler and dataset status tracking
Parquet dataset download links
Collection and dataset cancellation

How Macrocosmos MCP works

What macrocosm-os/macrocosmos-mcp MCP server does

The macrocosm-os/macrocosmos-mcp MCP server exposes Macrocosmos social-data operations to MCP clients. It works with X (Twitter) and Reddit, allowing an agent to retrieve recent posts or start a longer-running collection workflow. The README identifies Data Universe (SN13) on Bittensor as the underlying source.

For quick requests, query_on_demand_data accepts a platform, usernames, keywords, ISO-formatted dates, a result limit, and an any or all keyword mode. X usernames may include or omit @. Reddit queries use the first keyword as the subreddit, and username filtering is not available for Reddit. On-demand requests support up to 1,000 results, with a default window of the previous 24 hours and a default limit of 10.

How it works

The macrocosm-os/macrocosmos-mcp MCP server has two distinct collection paths. On-demand queries return data for immediate analysis. For larger jobs, create_gravity_task starts a collection that can run for seven days and returns a task identifier. get_gravity_task_status reports progress, including crawler identifiers, record counts, and collected bytes.

A Gravity workflow can include X and Reddit task objects. X topics must begin with # or $; plain X keywords are rejected. After enough data is collected, build_dataset stops the crawler and creates a dataset, optionally limited by row count. get_dataset_status reports the build progress and supplies Parquet download URLs when the dataset is ready. Active Gravity tasks and dataset builds can be cancelled, while completed datasets can be purged through the cancellation tools.

Setup and configuration

The macrocosm-os/macrocosmos-mcp MCP server requires a Macrocosmos API key. The README directs users to the Macrocosmos account page to create one and states that a free tier begins with $5 in credits. Install uv, then configure the MCP client to run uvx macrocosmos-mcp.

For Claude Desktop, add a server entry to claude_desktop_config.json with uvx as the command, macrocosmos-mcp as its argument, and the API key in the MC_API environment variable. The key should replace the placeholder shown in the README rather than being copied literally.

Tools and capabilities

Available tools include:

  • query_on_demand_data for filtered X or Reddit searches.
  • create_gravity_task for large-scale, seven-day collection jobs.
  • get_gravity_task_status for task and crawler progress.
  • build_dataset for stopping a crawler and preparing collected rows.
  • get_dataset_status for build progress and Parquet download links.
  • cancel_gravity_task for stopping a running collection.
  • cancel_dataset for cancelling a build or purging a completed dataset.

The server is documented as compatible with Claude Desktop, Cursor, Windsurf, OpenAI Agents, and other MCP clients. This listing only maps the named desktop clients to client compatibility fields.

Limitations and notes

The on-demand tool is intended for requests of up to 1,000 results. Gravity tasks are the documented option when more data is needed, but their collection period is seven days. Building a dataset before that period ends permanently stops and de-registers the crawler from the network, so build_dataset should be used only when collection can end.

Required fields vary by operation: on-demand queries need source, Gravity creation needs tasks, and status or build operations require identifiers returned by earlier calls. X Gravity topics must use hashtag or ticker syntax, while Reddit username filtering is unavailable. The provided material documents X and Reddit access; it does not document YouTube support.

Read the full README โ†’View source on GitHub โ†’

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Adoption & maintenance

Factual signals from GitHub, npm, and our automated checks โ€” not a rating.

GitHub stars
29
Stargazers on the source repository.
Last commit
22d ago
Most recent push to the default branch.
Directory activity
3 views
Config copies, upvotes, and views on AllMCPs.

Reviews

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Frequently Asked Questions about Macrocosmos MCP

Install uv, then configure the client to run `uvx macrocosmos-mcp`. Set the `MC_API` environment variable to a Macrocosmos API key.

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Technical Specs & Signals

Category๐ŸŒSocial Media
PricingFreemium
More technical detailsExpand โ–พ
TransportSTDIO
RuntimePython
AuthAPI key
LicenseMIT
ClientsClaude Desktop, Cursor, Windsurf
Last updatedSep 7, 2026
11/11 checks healthy over the last 33d
Views3
Unique ViewsTotal visits recorded for this listing page on AllMCPs.
Installs0
Installs & Copy ActionsTotal times users copied install commands or configuration snippets for this server.
GitHub stars29
GitHub Star CountTotal stargazers on GitHub representing community popularity (29 stars).
Last commit22d ago
Last Repository CommitThe most recent commit or push recorded for this server's GitHub repository.Last commit on Aug 20, 2026
53Quality signal: Good ยท 53/100How this signal is calculated โ–พ
Server availabilityNot measured

Not scored for repo-hosted servers โ€” we can't reach the running server, only its GitHub page. Hosted MCP endpoints are health-checked live.

Verified ownership10/20
Documentation & tools23/30
Adoption & activity7/15
Community engagement0/10

A guidance signal from public completeness & health data โ€” not a user rating. New listings start lower and rise as they add docs, get verified, and grow adoption. Signals we can't observe for a listing are skipped, not counted against it.

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No high-severity advisories surfaced by our automated scan.

Critical 0High 0Medium 0Low 0

Scanned 20d ago via OSV.dev ยท macrocosmos-mcp (PyPI)

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