corporate-events-mcp
Normalizes and serves corporate events (earnings, dividends, splits, M\&A) from US, UK, Canada, and Australia via a programmatic MCP API.
README
corporate-events-mcp
Cross-jurisdiction corporate events normalization via MCP. A single consistent schema covering earnings dates, dividend announcements, stock splits, and M&A announcements across US (SEC EDGAR), UK (GlobeNewswire/RNS), Canada (GlobeNewswire/CNW), and Australia (ASX Market Announcements).
Replaces Refinitiv Datastream ($10,000-22,000/yr), Bloomberg Terminal corporate actions module ($24,000/yr), and FactSet corporate events data ($8,000-15,000/yr) with a programmatic, agent-callable API.
What it is
| Signal | Source | Coverage |
|---|---|---|
| Earnings, dividends, splits, M&A | SEC EDGAR EFTS + submissions API | All public US companies, back to early 1990s |
| Regulatory announcements | GlobeNewswire UK RSS | UK/LSE-listed companies (sparse; FCA NSM requires auth) |
| Press releases, material changes | GlobeNewswire Canada RSS | TSX/TSX-V companies with ISIN and ticker |
| Market announcements | ASX MarkitDigital API | ASX200 + on-demand per code |
| Amendment resolution | In-process DB linkage | 8-K/A linked to original 8-K via amends_id |
No mobile device data. No scraping official registries. All sources are free and public.
Data Sources
| Source | Jurisdiction | Auth | Poll Interval |
|---|---|---|---|
| SEC EDGAR EFTS + submissions API | US | None (User-Agent header required) | Hourly |
| GlobeNewswire country/United-Kingdom RSS | UK | None | 2 hours |
| GlobeNewswire country/Canada RSS | CA | None | 12 hours |
| ASX MarkitDigital /companies/{code}/announcements | AU | None | 6 hours (rotating ASX200 batch) |
MCP Tools
get_company_events
Events for a specific company by ticker, ISIN, or company name substring. On-demand enrichment fires all four sources in parallel if the company is not cached.
Input: { "query": "AAPL", "jurisdiction": ["US"], "event_type": ["earnings"], "days_back": 90, "limit": 20 }
search_events
Filter events by type, jurisdiction, and date range. Served from SQLite — sub-10ms warm.
Input: { "event_type": ["dividend","earnings"], "jurisdiction": ["AU","CA"], "from_date": "2026-01-01", "limit": 50 }
get_recent_events
Latest events across all jurisdictions ordered by ingestion time.
Input: { "hours": 24, "event_type": ["merger_acquisition"] }
get_pipeline_health
Last poll time per source, event counts, status (ok/error/never). Verify freshness before time-sensitive queries.
Input: {} (no parameters)
fetch_historical_events
Historical 8-K filings for a US company from SEC EDGAR back to the early 1990s. Walks filings.files[] pagination. US only.
Input: { "query": "JPM", "from_date": "2015-01-01", "to_date": "2016-12-31", "limit": 200 }
Normalized Event Schema
{
"id": "a3f9b2c1d4e5f6a7b8c9d0e1",
"company": "Apple Inc.",
"ticker": "AAPL",
"isin": null,
"jurisdiction": "US",
"event_type": "earnings",
"event_date": null,
"announcement_date": "2026-04-30",
"source": "SEC_EDGAR",
"source_url": "https://www.sec.gov/Archives/edgar/data/320193/.../aapl-20260430.htm",
"raw_title": "8-K — 2.02,9.01",
"details": { "form_type": "8-K", "items": ["2.02", "9.01"], "accession": "0000320193-26-000011" },
"normalized_at": "2026-06-04T00:00:00.000Z",
"is_amendment": false,
"amends_id": null
}
Amendment Flagging
is_amendment: true is set when form type is 8-K/A. After upsert, resolveAmendments() queries the DB for the most recent prior 8-K from the same company with matching item types and sets amends_id to link them.
Environment Variables
| Variable | Required | Description |
|---|---|---|
PORT |
No (default 3000) | Server port |
DB_PATH |
No (default ./data/events.sqlite) | SQLite database path |
No external API keys required.
Running Locally
npm install
npm run dev
Ticker cache loads ~10 seconds after startup (10,365 US tickers). EDGAR polling runs immediately.
# Pipeline health
curl -s -X POST http://localhost:3000/mcp \
-H "Content-Type: application/json" \
-d '{"jsonrpc":"2.0","id":1,"method":"tools/call","params":{"name":"get_pipeline_health","arguments":{}}}' \
| python3 -c "import sys,json; h=json.load(sys.stdin)['result']['structuredContent']; [print(f' {s[\"source\"]:12} {s[\"status\"]} events={s[\"events_indexed\"]}') for s in h['sources']]"
# AAPL events
curl -s -X POST http://localhost:3000/mcp \
-H "Content-Type: application/json" \
-d '{"jsonrpc":"2.0","id":2,"method":"tools/call","params":{"name":"get_company_events","arguments":{"query":"AAPL","days_back":90}}}' \
| python3 -c "import sys,json; r=json.load(sys.stdin)['result']['structuredContent']; [print(e['announcement_date'], e['event_type'], e['raw_title'][:50]) for e in r['events'][:5]]"
# Historical depth
curl -s -X POST http://localhost:3000/mcp \
-H "Content-Type: application/json" \
-d '{"jsonrpc":"2.0","id":3,"method":"tools/call","params":{"name":"fetch_historical_events","arguments":{"query":"JPM","from_date":"2015-01-01","to_date":"2016-12-31"}}}' \
| python3 -c "import sys,json; r=json.load(sys.stdin)['result']['structuredContent']; print('Total:', r['total_found'])"
Deployment (Railway)
Push to GitHub, connect repo in Railway. Set DB_PATH=/data/events.sqlite and add a volume mounted at /data to persist events across restarts.
Coverage Notes and Limitations
US (SEC EDGAR): Full coverage, hourly polling, historical depth to early 1990s.
Australia (ASX): ASX MarkitDigital API confirmed working at /companies/{code}/announcements. Background polling rotates 30 ASX200 codes in batches of 10 per cycle. On-demand fetch available for any ASX code.
Canada (GlobeNewswire): GlobeNewswire Canada RSS confirmed working with real TSX tickers and ISIN codes. SEDAR+ does not have a confirmed accessible public API endpoint.
UK (GlobeNewswire): GlobeNewswire UK country feed is sparse. FCA NSM returns HTTP 403. Investegate XML returns 404. UK coverage is best-effort — events_indexed may remain at 0 during quiet periods.
Not implemented: Exchange-validated settlement data (DTCC/CREST/CHESS are commercial), real-time intraday corrections, historical depth for non-US jurisdictions.
Not Financial Advice
This tool provides factual corporate event data from official and proxy sources. It does not constitute financial or investment advice.
Recommended Servers
playwright-mcp
A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.
Magic Component Platform (MCP)
An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.
Audiense Insights MCP Server
Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.
VeyraX MCP
Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.
graphlit-mcp-server
The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.
Kagi MCP Server
An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.
E2B
Using MCP to run code via e2b.
Neon Database
MCP server for interacting with Neon Management API and databases
Qdrant Server
This repository is an example of how to create a MCP server for Qdrant, a vector search engine.
Exa Search
A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.