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Orchyn

Reads, analyzes, compares, and monitors social content across major networks through MCP tools.

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Install Orchyn

Pick your client, then add it in one click or paste the config.

STDIONode.js
~/Library/Application Support/Claude/claude_desktop_config.json
claude_desktop_config.json
{
  "mcpServers": {
    "orchyn": {
      "command": "npx",
      "args": [
        "-y",
        "@nooticr/mcp"
      ],
      "env": {
        "NOOTICR_BASE_URL": "YOUR_VALUE_HERE"
      }
    }
  }
}

Settings → Developer → Edit Config, merge this into mcpServers, then fully quit and reopen Claude Desktop.

Values are written into the snippet above so you can paste it as is. They never leave your browser.

Install not yet sandbox-tested— we haven't run this command through our automated sandbox yet. Not a red flag; we're working through the catalog.

Overview

  • social-intelligence
  • social-media
  • content-research
  • brand-monitoring
  • developer-tools

The Orchyn MCP server gives AI assistants access to social posts, creators, trends, comments, transcripts, video frames, and monitoring workflows across multiple networks. Use it to research niches, inspect why posts perform, track mentions, follow creators, or develop content from gathered evidence. It runs locally over stdio or through the hosted MCP endpoint and charges nooticr credits for fetched data.

Use cases

  • Research posts in a niche across social networks
  • Analyze a video's transcript, visuals, comments, and performance
  • Monitor brand mentions in social comments
  • Track creators and catch up on newly published posts
  • Compare competing posts and identify testable differences

Key features

  • Cross-network post and creator research
  • Transcript and sampled video-frame retrieval
  • Comment analysis and classification
  • Hashtag, sound, and hook-pattern discovery
  • Creator watchlists and recurring brand watches
  • Model-rendered post and comparison reviews

Tools80

What Orchyn lets your agent do. Expand a tool for its parameters.

Self-reported~4.7k tokens of context

Security & health

What it can reach and how reliably it runs — from our own checks, not the maintainer’s claims.

ActiveLast checked 3d ago

Recent health check succeeded.

6/6 checks healthy over the last 40d

Supply-chain signal

No high-severity advisories surfaced by our automated scan.

Critical 0High 0Medium 0Low 0

Scanned 16d ago via OSV.dev · @nooticr/mcp (npm)

Adoption & maintenance

Factual signals from GitHub, npm, and our automated checks — not a rating.

npm downloads5.8kPackage downloads in the last 30 days.
Last commit3d agoMost recent push to the default branch.
Tools exposed80Callable tools this server registers over MCP.

How Orchyn works

What Orchyn MCP server does

The Orchyn MCP server connects an AI assistant to social content from TikTok, Instagram, YouTube, X, Reddit, LinkedIn, Douyin, Xiaohongshu, Weibo, and Bilibili. Its tools cover direct post retrieval, creator research, trend discovery, comment reading, transcript extraction, video-frame sampling, comparisons, watchlists, and recurring brand monitoring.

It can return captions, statistics, media URLs, thumbnails, spoken words, comments, and sampled images. The model then uses that evidence to identify patterns, compare posts, suggest hooks, structure scripts, or produce other content decisions supported by the retrieved material.

How it works

Individual read tools let an agent choose the amount of context it needs. get_social_media retrieves post facts and media, while get_post_transcript returns published caption tracks where available or transcribes audio when server speech-to-text is configured. get_post_frames samples video images directly from the media stream, and get_post_comments returns comments with platform-provided signals such as pinned or liked status.

Higher-level tools combine these calls for common research tasks. Fast post analysis omits images, while full analysis includes frames and a transcript. Other tools support creator discovery, similar-creator searches, hook-pattern extraction, hashtag and sound research, and comparisons between posts. Rendering tools display model-produced analyses or comment reviews without making additional requests.

Monitoring features store creator handles or scheduled watch definitions. A watchlist can report new posts since the previous catch-up. Brand watches can repeatedly search comments for a term or check a competitor creator, then email only newly detected results. Mention trends record counts over successive runs so changes across networks can be reviewed over time.

Setup and configuration

The Orchyn MCP server supports local stdio execution and a hosted connector at https://mcp.nooticr.com/mcp. A one-time Google sign-in is used for the direct CLI setup.

For a generic stdio configuration, run the package with npx -y @nooticr/mcp and set NOOTICR_BASE_URL to https://api.nooticr.com.

Tools and capabilities

  • Retrieve post metadata, media, transcripts, frames, and comments.
  • Analyze posts with or without visual context.
  • Find niche posts, creators, similar creators, sounds, hashtags, and hook patterns.
  • Compare posts and render model-written reviews.
  • Search comment-based brand mentions across supported networks.
  • Track creators and schedule recurring brand or competitor watches.

Limitations and notes

Creator search is limited to TikTok, Instagram, and Xiaohongshu. LinkedIn cannot be swept for hashtag counts. Hashtag trend signals come from TikTok's Creative Center; other searchable networks use a live sample without rising or cooling indicators. Spoken-mention searches cover TikTok, YouTube, and Douyin.

Frame retrieval adds image context to the model and each frame uses roughly 1,200 context tokens. Some transcript paths require server speech-to-text. Identity matching only suggests possible accounts and does not merge them; a person must confirm the relationship. The Orchyn MCP server fetches evidence, while interpretation remains with the connected model.

Read the full README View source on GitHub

Reviews

No reviews yet — be the first to share how it worked for you.

Frequently Asked Questions about Orchyn

Orchyn is an MCP server that connects AI assistants to social networks including TikTok, Instagram, YouTube, X, Reddit, LinkedIn, Douyin, Xiaohongshu, Weibo, and Bilibili. Its main tools retrieve posts, transcripts, frames, comments, creator data, trends, comparisons, and brand-monitoring results for model-led analysis.

Install it with the documented nooticr package commands: use the Claude Code marketplace, register `npx -y @nooticr/mcp` directly with Claude Code, or add that command to a standard stdio MCP configuration. Direct CLI setup also uses `npx @nooticr/mcp login` for a one-time Google sign-in.

Yes, Orchyn works with Cursor through a standard stdio MCP configuration. Add a server entry that runs `npx -y @nooticr/mcp` and set `NOOTICR_BASE_URL` to `https://api.nooticr.com`.

Orchyn supports TikTok, Instagram, YouTube, X, Reddit, LinkedIn, Douyin, Xiaohongshu, Weibo, and Bilibili for the social-reading features described in the README. Specific searches vary: creator search covers TikTok, Instagram, and Xiaohongshu, while spoken-mention search covers TikTok, YouTube, and Douyin.

Orchyn searches comments that contain a chosen term across supported networks and can schedule recurring watches that email newly found results. Searches accept a date window and pagination, while mention trends show counts from successive monitoring runs.

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