MCP server
Drillr — The financial MCP for AI agents Official
ai.drillr/drillr
Checked 26 Oct 2026, 08:29 UTC · Connected to it and listed its tools
Financial data and research MCP for US/CN/JP equities: filings, statements, ownership, signals.
Working at last checkVerified publisher: drillr.aiAbout 4,891 tokens per request once connected10 tools
https://gateway.drillr.ai/mcp/data
At a glance
- Type
- MCP server
- Publisher
- drillr.ai (verified by the MCP Registry)
- Status
- Working at last check
- Tools
- 10
- Token cost
- About 4,891 tokens per request
- Sets up in
- Claude Code, Claude Desktop, Codex, Gemini CLI, Cursor, VS Code, Antigravity, ChatGPT, OpenAI API, Grok
- Last checked
- 26 Oct 2026, 08:29 UTC
Connect it to your agent
Opens the app, which shows the server and asks you to confirm. For other apps, copy the setup below.
Claude Code
claude mcp add --transport http drillr https://gateway.drillr.ai/mcp/data
Claude Desktop
Settings → Connectors → Add custom connector, and paste the URL.
Codex (config.toml)
[mcp_servers.drillr] url = "https://gateway.drillr.ai/mcp/data"
Gemini CLI
{"mcpServers":{"drillr":{"httpUrl":"https://gateway.drillr.ai/mcp/data"}}}
Cursor
{"mcpServers":{"drillr":{"url":"https://gateway.drillr.ai/mcp/data"}}}
VS Code
{"servers":{"drillr":{"type":"http","url":"https://gateway.drillr.ai/mcp/data"}}}
Antigravity
agy mcp add drillr https://gateway.drillr.ai/mcp/data
ChatGPT
Settings → Apps & Connectors → Advanced settings: turn on Developer mode, then Create a connector and paste the URL. Which plans can do this varies.
OpenAI API (Responses tools)
{"type":"mcp","server_label":"drillr","server_url":"https://gateway.drillr.ai/mcp/data","require_approval":"always"}
Grok (xAI API tools)
{"type":"mcp","server_label":"drillr","server_url":"https://gateway.drillr.ai/mcp/data"}
Tools
ai_adoption~571 tokens
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. Returns a data array ordercompany_search~425 tokens
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 industry classification,filing_list~361 tokens
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 (fiscal_year, fiscal_qfiling_search~525 tokens
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 filing text. `perioget_table_schema~684 tokens
Column definitions (name, type, description) for a data table, plus its usage note where one exists: required filters, ticker format, and market coverage.industry_inflections~586 tokens
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 newest first page. Reslist_tables~472 tokens
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 instead. Use this BEFORnews_search~610 tokens
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 = attributed statements:run_sql~412 tokens
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 >= '2024-01'`); a `::dticker_lookup~245 tokens
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 prefix-hit first, th
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