dullfig 986db2e79b Implement native tools and infrastructure

Tools (18 total):
- calculate: Safe AST-based math expression evaluator
- fetch: Async HTTP with SSRF protection
- files: Sandboxed read/write/list/delete
- shell: Command execution with blocklist
- search: Web search (SerpAPI, Google, Bing)
- keyvalue: In-memory key-value store
- librarian: exist-db XML database integration
- convert: XML↔JSON conversion + XPath extraction

Infrastructure:
- CLI with run/init/check/version commands
- Config loader for organism.yaml
- Feature detection for optional dependencies
- Optional extras in pyproject.toml

LLM:
- Fixed llm_connection.py to wrap working router

WASM:
- Documented WASM listener interface
- Stub implementation for future work

MCP:
- Reddit sentiment MCP server example

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>

2026-01-17 20:25:48 -08:00

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Reddit Sentiment MCP Server

An MCP server that provides Reddit sentiment analysis for stock tickers.

Installation

cd examples/mcp-servers/reddit-sentiment
pip install -e .

Usage with Claude Code

Add to your Claude Code settings (~/.claude/settings.json):

{
  "mcpServers": {
    "reddit-sentiment": {
      "command": "python",
      "args": ["-m", "reddit_sentiment"],
      "cwd": "/path/to/reddit-sentiment"
    }
  }
}

Tools

reddit_trending_tickers

Get the most mentioned stock tickers across Reddit finance subreddits.

Trending tickers from r/wallstreetbets, r/stocks, r/investing

reddit_ticker_sentiment

Get sentiment analysis for a specific ticker.

What's the Reddit sentiment on $TSLA?

reddit_wsb_summary

Get a summary of current WallStreetBets activity.

What's happening on WSB right now?

How It Works

Fetches posts from Reddit's public JSON API (no auth required)
Extracts ticker symbols using regex ($TSLA, TSLA, etc.)
Analyzes sentiment using bullish/bearish word matching
Returns structured JSON with mentions, scores, and sentiment

Limitations

Reddit rate limits (~60 requests/minute without auth)
Simple word-based sentiment (no ML)
Only scans post titles and selftext (not comments)
Ticker extraction may have false positives

Subreddits Scanned

r/wallstreetbets
r/stocks
r/investing
r/options
r/stockmarket
r/thetagang
r/smallstreetbets

1.5 KiB Raw Blame History