Polygon
Pull stocks, crypto, ETF quotes, analyst ratings, earnings, and financial news into agent sessions for fintech ideas, dashboards, or growth analytics.
Overview
com.mcparmory/polygon is an MCP server for the Idea phase that accesses stock, crypto, and ETF data plus analyst ratings, earnings, and financial news.
What is this MCP server?
- Access stock, crypto, and ETF market data through MCP tools
- Retrieve analyst ratings and earnings context for diligence
- Pull financial news tied to symbols and sectors
- Distributed as mcparmory-polygon 1.0.2 on PyPI with uvx
- Docker image ghcr.io/mcparmory/polygon:1.0.2 for stdio MCP
- Server version 1.0.2
- 2 distribution channels: PyPI and OCI
- Asset classes: stocks, crypto, ETFs
Community signal: 25 GitHub stars.
What problem does it solve?
Building or validating a finance product without authoritative market data forces guesswork on tickers, earnings, and sentiment.
Who is it for?
Indie fintech and data-product builders who already use Polygon credentials and want MCP access from Claude Code or Cursor.
Skip if: Non-financial apps with no market data needs, or teams that require licensed redistribution review beyond your API terms.
What do I get? / Deliverables
Your agent can fetch live market and news fields while you research, scope pricing, or sketch analytics features.
- Ticker and aggregate market snapshots in agent context
- Earnings and ratings snippets for validation docs
- Financial news feeds for product or content planning
Recommended MCP Servers
Journey fit
Research is canonical because market and earnings data most often inform whether a finance or data product is worth building before code is written. Research subphase covers macro and ticker-level discovery; the same MCP later supports pricing validation and user-facing market features.
How it compares
Market-data finance MCP, not a general web search or news-entity graph server.
Common Questions / FAQ
Who is com.mcparmory/polygon for?
Solo builders creating trading, investing, or market-analytics products who want ticker, earnings, and news data inside MCP workflows.
When should I use com.mcparmory/polygon?
Use it when researching fintech ideas, validating data-heavy MVPs, or prototyping user-facing market widgets during growth experiments.
How do I add com.mcparmory/polygon to my agent?
Add the stdio server using uvx mcparmory-polygon 1.0.2 or the OCI Docker package and configure your Polygon API key per mcparmory docs.