trading-mcp
trading-mcp is a TypeScript MCP server that exposes tools for stock screening, fundamental metrics, insider trading analysis, options put/call sentiment, and news/social sentiment analysis (via OpenAI and Reddit when configured).
Score Breakdown
⚙ Agent Friendliness
🔒 Security
README instructs using env vars for API credentials (better than hard-coding), but provides no details on how secrets are logged/handled at runtime, no described server-side auth, and no mention of TLS/transport security or least-privilege/scopes. Upstream scraping increases the chance of unexpected behavior changes; there is also a risk of injecting untrusted content from external sources if upstream text is fed to an LLM without robust sanitization (not described here).
⚡ Reliability
Best When
You want an LLM agent to retrieve and combine public-market and third-party-source information into structured analysis on demand.
Avoid When
You need guaranteed uptime, precise auditability of data sources, or you cannot tolerate occasional scraping failures/rate limiting from upstream providers.
Use Cases
- • Ask an MCP-enabled AI agent for multi-source stock screening and summaries
- • Retrieve fundamental metrics and compute a financial health score
- • Analyze insider trading activity with sentiment-like scoring
- • Get options market sentiment via put/call ratios
- • Summarize recent news and assess potential market context using an LLM
- • Search Reddit communities for trending tickers and infer retail sentiment
Not For
- • Direct financial advice or automated trading execution
- • Real-time trading signals requiring strict determinism
- • Environments that cannot provide third-party API credentials (OpenAI/Reddit)
- • Compliance-critical workflows without data provenance/validation controls
Interface
Authentication
Authentication is configured by passing third-party credentials as env vars in the MCP client config. There is no described end-user auth or scope model for the MCP server itself.
Pricing
No pricing for the MCP server itself is provided; third-party API usage (OpenAI/Reddit) may incur costs or quotas.
Agent Metadata
Known Gotchas
- ⚠ Tools that depend on external sources (Finviz/Barchart scraping) may fail due to rate limiting or site changes.
- ⚠ Reddit-integrated tools depend on both Reddit credentials and Reddit rate limits; high-volume calls may degrade or fail.
- ⚠ OpenAI-integrated tools can increase cost/latency due to token usage.
- ⚠ The README describes tool parameters but does not indicate standardized error payloads, rate-limit headers, or retry/idempotency semantics.
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Scores are editorial opinions as of 2026-03-30.