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Drillr — The financial MCP for AI agents

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The financial MCP for AI agents.

MCP ServerAI & KnowledgeRemote (streamable-http) 5
View on GitHub
Updated 2026-06-16

What is the Drillr — The financial MCP for AI agents MCP server?

Drillr is a financial data backend designed specifically for AI agents. It delivers access to standardized financial statements, ratios, earnings, insider trading, ownership, prices, and alternative data through a single authenticated endpoint.

The server also supports semantic search across SEC filings with paragraph-level citations. All access requires a Bearer token using a drl_*-prefixed API key obtained from drillr.ai.

Install & connect

Add this to your MCP client config. Pick your client below and copy.

{
  "mcpServers": {
    "drillr": {
      "url": "https://gateway.drillr.ai/mcp/data"
    }
  }
}

Tools it exposes

2 tools your AI client can call once connected.

run_sqlStandardized financial data over 90+ tables — statements, ratios, earnings, insider, ownership, prices, alt-data
sec_report_searchParagraph-level semantic search over 10-K / 10-Q / 20-F / 6-K / S-1 / DEF 14A filings

Example prompts

Once connected, try asking your AI client:

Pull NVDA's last 10-Q gross margin and compare it to AMD's same quarter.
Search recent 10-K filings for mentions of supply chain risks at TSMC.
Show insider trading activity for AAPL over the past year using run_sql.
Find ownership concentration data for the top 5 semiconductor companies.

Security & permissions

Requires remote HTTPS access and a Bearer token header containing a drl_* API key; no local filesystem or process access is needed.

What you can do with Drillr — The financial MCP for AI agents

Compare company margins

Retrieve gross margin figures from recent 10-Q filings for NVDA and AMD and highlight any segment differences.

Search SEC filings

Run paragraph-level semantic search over 10-K and 10-Q documents to locate specific risk disclosures.

Query financial tables

Execute SQL against 90+ standardized tables covering earnings, ownership, and alt-data signals.

How to use Drillr — The financial MCP for AI agents

  1. 1Sign up at drillr.ai and generate an external-scope API key.
  2. 2Add the drillr server entry to your MCP client's mcp.json with the gateway URL and Authorization header.
  3. 3Replace the placeholder with your real drl_* key or reference it via an environment variable.
  4. 4Restart the host or reload the configuration so the tools become available.
  5. 5Test by asking the agent to run a financial query that invokes run_sql or sec_report_search.

Drillr — The financial MCP for AI agents: pros & cons

Pros

  • +Single endpoint gives access to 90+ financial tables and SEC search.
  • +Paragraph-level citations improve answer traceability.
  • +Streamable HTTP transport works with many popular MCP hosts.
  • +One API key unlocks the full toolkit for research workflows.

Cons

  • Tool parameter schemas are not documented in the provided README.
  • Credit usage and remaining balance must be checked separately on the website.
  • Only two tool names are explicitly listed despite claims of nine tools.
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Frequently asked questions

It uses the Streamable HTTP transport at https://gateway.drillr.ai/mcp/data.

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