agent-toolbelt-mcp

MCP server for Agent Toolbelt — gives Claude real-time stock research capabilities. Five AI-powered analysis tools that pull live data from Polygon.io, Finnhub, and Financial Modeling Prep, then synthesize it into structured investment analysis.

Try the valuation snapshot live (no signup): agent-toolbelt-production.up.railway.app

Step 1 — Get a free API key

The MCP server requires an API key. Free tier is 1,000 calls/month, no credit card required.

curl -X POST 'https://agent-toolbelt-production.up.railway.app/api/clients/register?source=npm' \
  -H "Content-Type: application/json" \
  -d '{"email": "[email protected]"}'

The response includes your atb_... key. Save it — you'll need it in Step 2.

Step 2 — Install

Claude Code

claude mcp add agent-toolbelt \
  -e AGENT_TOOLBELT_KEY=atb_your_key_here \
  -- npx -y agent-toolbelt-mcp

Claude Desktop

Add to claude_desktop_config.json:

{
  "mcpServers": {
    "agent-toolbelt": {
      "command": "npx",
      "args": ["-y", "agent-toolbelt-mcp"],
      "env": {
        "AGENT_TOOLBELT_KEY": "atb_your_key_here"
      }
    }
  }
}

Stock Research Tools

Five tools that give Claude live market data and AI-synthesized analysis. Each call pulls from multiple financial APIs in parallel and returns structured JSON. ~4–5 seconds per call.

| Tool | What it does | |---|---| | stock_thesis | Full investment thesis: bullish/neutral/bearish verdict, 2–3 paragraph analysis, key strengths, risks, valuation read, insider interpretation, what to watch next earnings | | earnings_analysis | EPS beat/miss history across 12 quarters, revenue trend classification, long-term consistency read, upcoming earnings date | | insider_signal | Form 4 interpretation: distinguishes meaningful open-market purchases from routine option exercises → strong_buy to strong_sell signal + confidence rating | | valuation_snapshot | P/E, P/S, EV/EBITDA, FCF yield, ROE → cheap/fair/expensive verdict + specific buy zone | | bear_vs_bull | 3 bull + 3 bear arguments steelmanned with real data, net verdict, key debate question, who the stock suits |

Example

Once installed, ask Claude:

"Give me a full analysis of NVDA — thesis, earnings quality, insider activity, and whether it's cheap right now."

Claude calls the tools in parallel and synthesizes a complete research note. Here's what stock_thesis returns for NVDA:

Verdict: Bullish One-liner: "Nvidia owns the essential infrastructure for the AI revolution with a defensible software moat, but the valuation demands flawless execution."

Key Strengths:

• Dominant ~80%+ data center GPU market share
• CUDA moat creates switching costs and customer lock-in
• 42 buy / 5 hold / 1 sell analyst consensus

Insider Read: Mixed — two executives bought ~47k shares each in March (positive), offset by routine selling from others.

Watch For Next Earnings: Data center revenue growth rate. Deceleration below 30% YoY would signal the boom is maturing.

Utility Tools

20 additional tools for common agent tasks.

| Tool | What it does | |---|---| | generate_schema | JSON Schema / TypeScript / Zod from a description | | extract_from_text | Extract emails, phones, URLs, dates, currencies from text | | convert_markdown | HTML ↔ Markdown conversion | | fetch_url_metadata | Title, OG tags, author, favicon from any URL | | count_tokens | Token counts + cost estimates across 15 LLM models | | csv_to_json | CSV to typed JSON with auto delimiter and type casting | | normalize_address | US address → USPS format with component parsing | | generate_color_palette | Color palettes with WCAG scores and CSS variables | | build_cron | Natural language → cron expression with next-run preview | | build_regex | Natural language → regex with JS/Python/TS snippets | | generate_brand_kit | Full brand kit — colors, typography, CSS/Tailwind tokens | | optimize_prompt | Score and rewrite LLM prompts for clarity and specificity | | extract_meeting_action_items | Action items, decisions, and summary from meeting notes | | summarize_url | Fetch and summarize any URL | | compare_documents | Semantic diff between two document versions | | extract_contract_clauses | Key clauses + risk flags from contracts | | mock_api_response | Realistic mock data from a JSON Schema | | audit_dependencies | CVE scan for npm/PyPI packages via OSV database | | pack_context_window | Pack content into a token budget | | strip_image_metadata | Remove EXIF/GPS metadata from images |

Pricing

• Free tier: 1,000 calls/month, no credit card
• Stock analysis tools: $0.05/call (PAYG)
• Most utility tools: $0.001–$0.005/call

License

MIT