Drillr — The Financial MCP For AI Agents
Give your coding agent cited SEC filings, standardized fundamentals, and market signals while you research a niche, competitor, or investment thesis before you build.
Overview
Drillr is a MCP server for the Idea phase that exposes five finance research tools—thesis search, standardized fundamentals, signals, cited SEC search, and alt-data—over Streamable HTTP for AI agents.
What is this MCP server?
- Five MCP tools on one Streamable HTTP endpoint: thesis search, standardized statements/ratios/earnings, live signals, SE
- 90+ financial tables behind standardized company and market datasets
- External-scope API key (drl_…, 45 chars) from drillr.ai/developer/keys
- Designed for agents to scan markets, build conviction, track signals, and cite every claim
- MIT-licensed open MCP server with REST API and tool docs at drillr.ai/developer/docs
- 90+ financial tables documented in the server description
- 5 research workflow tools highlighted in the README (thesis search, standardized data, signals, SEC search, alt-data)
- External API keys use drl_ prefix and 45-character format per Quick Start
Community signal: 5 GitHub stars.
What problem does it solve?
Agents hallucinate tickers, mix outdated filings with live prices, and cannot cite primary sources when you are trying to decide whether a market is worth building in.
Who is it for?
Solo builders doing competitor teardowns, niche SaaS pricing research, or fintech/agent workflows that must ground answers in SEC and market data.
Skip if: Teams that only need a one-off stock quote in chat, have no drillr.ai API key budget, or want trade execution rather than research citations.
What do I get? / Deliverables
After you register Drillr, your agent can pull structured financial tables, filing-backed quotes, and signals so research notes and specs carry verifiable numbers instead of guesses.
- Agent-callable access to five finance research MCP tools
- Cited SEC paragraph snippets and standardized financial datasets in agent threads
- Repeatable market and company research workflows keyed to your API
Recommended MCP Servers
Journey fit
Financial conviction and competitor fundamentals usually happen before you commit to a product scope, so the canonical shelf is Idea-phase market research even though the same data supports later pricing and growth decisions. Thesis search, filings with paragraph citations, and alt-data are classic discovery inputs—answering who earns what, what changed in disclosures, and what signals matter—rather than shipping or ops workflows.
How it compares
Streamable HTTP financial data MCP, not a local spreadsheet skill or a generic web-search plugin.
Common Questions / FAQ
Who is ai.drillr/drillr for?
Indie founders and agent builders who want Claude Code or Cursor to research companies and markets with standardized financial data and cited SEC paragraphs.
When should I use ai.drillr/drillr?
Use it during Idea and Validate research when you need thesis search, fundamentals, insider/ownership context, live signals, or filing citations before committing to a build.
How do I add ai.drillr/drillr to my agent?
Create an external-scope key at drillr.ai/developer/keys, then add the Drillr Streamable HTTP MCP remote URL and key to your host mcp.json per the README Quick Start.