Drillr — The financial MCP for AI agents
by gateway.drillr.ai in Markets & finance
Financial data and research MCP for US/CN/JP equities: filings, statements, ownership, signals.
https://gateway.drillr.ai/mcp/data
Last 30 days
- Uptime
- 100%
- Response time
- 171 ms typical, 171 ms slowest 5%
- Last check
- 2 h ago
- Next check
- in 3 h
How to call it
Add it to any MCP client that supports remote servers.
{
"mcpServers": {
"drillr-the-financial-mcp-for-ai-agents": {
"type": "http",
"url": "https://gateway.drillr.ai/mcp/data"
}
}
}10 tools
- filing_list
Use to discover which SEC filings exist for a ticker before searching content. For the actual content use filing_search instead. List indexed SEC filings for a given ticker with a summary header. Returns: summary (period coverage, per-type counts) + table of up to 50 filings (f
- filing_search
Search one company's SEC filings. Returns `## Facts` (exact as-reported and restated financial values) and `## Passages` (matching filing text) — both come back in one call. `ticker` is REQUIRED. When `## Facts` is empty, read `## Passages` — the figure is usually stated in the
- company_search
Use for qualitative company discovery (industry, business model, supply chain, competitors, management background). For numerical screening (revenue, margins, ratios, growth rates) use run_sql on company_snapshot instead. Drillr's company knowledge graph — searchable across indu
- ticker_lookup
Resolve a company name, brand, or ticker substring to canonical ticker(s). Input: - query (required): company name, brand, or ticker substring, e.g. "Apple", "AAPL", "OpenAI" - market (optional): "us" | "jp" | "cn" — omit to search all markets Returns up to 5 matches ranked by
- run_sql
PostgreSQL SELECT over financial / market / alt-data tables — returns structured rows. Hard rules (query fails otherwise): - SELECT only, no CTE (`WITH ... AS`) — use subqueries. - Period columns are TEXT, not dates — `period_end` is 'YYYY-MM'. Compare as strings (`period_end >=
- get_table_schema
Column definitions (name, type, description) for a data table, plus its usage note where one exists: required filters, ticker format, and market coverage.
- list_tables
List alternative-data tables under the given categories. Returns each table's name, one-line purpose, and column names (call get_table_schema if you need column types/comments). Batch up to 5 categories in one call; omit categories, or pass ["all"], to get the category index inst
- news_search
Use for any news, event, development, or statement question about a company, theme, or the market. The `ticker` filter takes exchange-suffixed symbols. Returns Markdown: a `## Stories` numbered list (each storyline once), then flat `## Events` and `## Claims` tables (claims = at
- industry_inflections
Search industry inflections identified through structured research of earnings calls held by US-listed companies, including the change mechanism, impact scope, market attention and affected companies. All filters are optional and combine with AND. With no filters, returns the ne
- ai_adoption
Search concrete enterprise AI applications disclosed in US company earnings calls. Filter by ticker, partially match a company name, search for an application or workflow by name, or use since in YYYY-MM-DD format to include only observations updated on or after that date. Return
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Recent checks
| When | Result | HTTP | Time |
|---|---|---|---|
| 2 h ago | Passed | 200 | 171 ms |
| 11 h ago | Passed | 200 | 395 ms |