MCP Server
Connect AI assistants to SEC filing intelligence via the Model Context Protocol. 23 tools and 5 recipe prompts across 4 tiers (Free, Pro, Analyst, Builder) — company research, financial analysis, signals, real-time monitoring, and click-to-run analysis recipes.
The Model Context Protocol (MCP) lets AI assistants like Claude, ChatGPT, Cursor, and Windsurf call edgar.tools directly — searching companies, pulling financials, analyzing insider trades, and monitoring live filings through natural language. Instead of copy-pasting data or switching between apps, you ask your AI assistant a question and it calls the right edgar.tools tool automatically. Results come back as structured data the assistant can reason about, compare, and synthesize.
The customer-facing landing for the MCP server is the edgar.tools AI plugin page — visual tier ladder, FAQ, and setup walkthroughs for each AI client. This /docs/mcp section is the technical reference.How it works
- You ask a question — "What insider trades happened at Tesla in the last 30 days?"
- Your AI picks the right tool — Claude automatically calls
insider_activity(company='TSLA', days=30) - Structured data comes back — transactions, sentiment analysis, signal detection — ready for the AI to interpret
Tools by tier
The MCP server's tools/list endpoint advertises only the tools your account's tier includes. Free accounts see 4 tools; Pro sees 17; Analyst and Builder see all 23.
- Free (4 tools) —
search_companies,company_brief,company_filings,account_status - Pro (17 tools) — adds
financial_snapshot,financial_statements,financial_trends,compare_companies,insider_activity,institutional_ownership,material_events,live_filings,search_filings,fund_profile,adviser_profile,search_funds,search_advisers - Analyst (23 tools) — adds
analyze_filing,disclosure_search,edgar_notes, plus the three aggregation toolsposition_intel,peer_facts,portfolio_eventsand 5 recipe prompts (position_thesis,peer_comparison,portfolio_pulse,earnings_postmortem,filing_red_flags) - Builder (23 tools, v1) — same set as Analyst for v1; configurable presets and custom prompts land later
See MCP Tiers for the full mapping and how cross-tier calls are handled. See Tools Reference for parameters and return formats. See MCP Prompts for the recipe-prompt catalog.
8 functional categories
Independent of tier, the 23 tools group into eight categories:
- Analyze —
analyze_filing(paste any SEC filing URL — auto-detects form type) - Research —
search_companies,company_brief,company_filings,financial_snapshot,financial_statements,financial_trends - Compare —
compare_companies(side-by-side analysis of 2+ companies) - Notes —
edgar_notes,disclosure_search,search_filings(drill into narrative text and financial-statement notes) - Signals —
insider_activity,institutional_ownership,material_events - Monitor —
live_filings(real-time SEC filing stream) - Funds & Advisers —
search_funds,fund_profile,search_advisers,adviser_profile - Aggregation —
position_intel(single-name bundle),peer_facts(peer-comparison rows),portfolio_events(bulk 8-Ks across up to 50 tickers) — designed to be consumed by recipe prompts
Why use MCP instead of the REST API?
- Natural language, not endpoints. Ask "compare Apple and Microsoft financials" instead of making 4 API calls and joining the data yourself.
- AI does the reasoning. Your assistant chains multiple tools, cross-references results, and synthesizes insights automatically.
- No code required. Connect once in your AI client's settings, then ask questions. No HTTP clients, no authentication code, no parsing.
Get started
- Setup Guide — connect edgar.tools to Claude, ChatGPT, Cursor, or Windsurf in under a minute
- MCP Tiers — which tools live at which tier, and how cross-tier calls are handled
- Tools Reference — all 23 tools with parameters, return formats, and tier access
- Prompts Reference — the 5 Analyst recipe prompts (
position_thesis,peer_comparison,portfolio_pulse,earnings_postmortem,filing_red_flags) - Example Workflows — prompts and conversations for common analysis tasks
- AI plugin landing — customer-facing visual tier ladder with setup walkthroughs