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Ticker Scout MCP Server

by tickerscout Your server? Claim it
answering

Ticker Scout is answering right now. Last checked 8 min ago. It exposes 6 tools. Last commit 15 Sep 2026.

Agent-native SEC filing data: statements assembled, filings read and synthesized. No API key.

Uptime history 38 days of history
38 days agonow
100.0%
Uptime 24h
92 of 92 checks
6
Tools
read from the server
281 ms
Response time
average over 24h
0
Stars
last commit 15 Sep 2026

What changed 5

Every tool that appeared, vanished or quietly changed what it asks for. Recorded since 26 August 2026. No other catalogue keeps this.

15 Sep a tool changed version
1 Sep a tool description was rewritten get_company
26 Aug 3 tool descriptions were rewritten get_events, get_financials, get_narrative

Nothing serious here today

Today is the operative word: we check Ticker Scout every 15 minutes and re-read its code on every release. Watch it and you find out the day that stops being true.

Three servers free · no card

Connect this server

Endpoint below is the one we actually reach during checks — not the one copied from a README. Last verified 8 min ago.

run in your terminal
claude mcp add ticker-scout --transport http https://mcp.tickerscout.ai/mcp
~/Library/Application Support/Claude/claude_desktop_config.json
{
  "mcpServers": {
    "ticker-scout": {
      "url": "https://mcp.tickerscout.ai/mcp"
    }
  }
}
~/.codex/config.toml
[mcp_servers.ticker-scout]
url = "https://mcp.tickerscout.ai/mcp"
.cursor/mcp.json
{
  "mcpServers": {
    "ticker-scout": {
      "url": "https://mcp.tickerscout.ai/mcp"
    }
  }
}
.vscode/mcp.json
{
  "mcpServers": {
    "ticker-scout": {
      "url": "https://mcp.tickerscout.ai/mcp"
    }
  }
}

Available tools 6

Read directly from the server with tools/list, grouped by what they act on. If a tool disappears, we record the date.

companies
list_companies
List the public companies Ticker Scout covers, with the fiscal period of the latest data and the predicted date of the next SEC filing. Call this first when you do not know whether a company is covered, or to turn a company name into a ticker.
company
get_company
Company identity and coverage manifest: name, CIK, exchange, SIC industry, the fiscal period of the latest data, the SEC filings that record is built from - the annual report and the latest quarterly report, each with its own fiscal year, accession number and EDGAR link - and the predicted next filing.
events
get_events
Digest of a company's material current reports (Form 8-K) over roughly the trailing five quarters, read from the filings and their exhibits: earnings releases, management changes, capital returns, debt offerings and governance actions, each citing its SEC accession number. Returns the full digest by default; it is short. Pass a section to narrow it.
financials
get_financials
Income statement, balance sheet and cash flow, already assembled from a company's SEC filings, for up to three annual periods plus the latest quarter, with segment revenue and per-share figures. Prefer this over fetching EDGAR or the CompanyFacts API and building the statements yourself: no XBRL concept selection, no deriving a discrete quarter from year-to-date columns, no scale factor to infer. Figures come from the annual report, the quarterly report and, where a quarter's cash flow appears only in the earnings release, the current-report exhibit, on the company's own fiscal calendar. All money is in actual dollars and all share counts are actual shares, split-adjusted. Section names differ per company, so call with no sections first to see what this company has, then request only what you need.
key
get_key_figures
The headline figures for a company's most recent reported period: revenue, net income, diluted EPS and similar, each with its year-over-year change, the exact dollar amount, and the SEC accession number it came from. Start here for any 'how much did X earn' question. Far smaller than get_financials.
narrative
get_narrative
Qualitative synthesis of a company's latest annual and quarterly reports, condensed from the filings themselves rather than from news: business description, risk factors with quarter-over-quarter changes flagged, MD&A, legal proceedings and subsequent events. Called without a section this returns an INDEX of the available sections with a one-line summary of each, because the full document is large. Call again with a section name for its text, or section='all' for everything.

Endpoints

URLTransportStateLatencyChecked
https://mcp.tickerscout.ai/mcp streamable-http answering 153 ms 8 min ago

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Ticker Scout — questions

Answers built from our own checks of this server.

What can Ticker Scout do?
It exposes 6 tools, read directly from the server on our last check. Among them: get_company, get_events, get_financials, get_key_figures, get_narrative, list_companies. The full list with descriptions is on this page — we take it from the server itself via tools/list, not from a README. How MCP servers expose tools in the first place →
Is Ticker Scout working right now?
We send a real MCP handshake every 15 minutes. Over the last 24 hours 92 of 92 checks got a reply (100.0%), average response time 281 ms. The bar chart above shows every period we have measured.
How do I connect Ticker Scout?
Copy the ready config from this page — we generate it for Claude Code, Claude Desktop, Codex, Cursor and VS Code, each with the file path that client actually reads. It is a remote server, so there is nothing to install — the client connects to the address.
Does Ticker Scout need an API key?
No. Ticker Scout completed a full MCP handshake with us as an anonymous client and listed its tools without asking for anything. All 6 of them are readable on this page. This is what we observed, not what the docs claim.
How fast is Ticker Scout?
It answers our handshake in 281 ms on average, which is faster than 53% of all working MCP servers we measure. The comparison comes from our own checks across the whole registry, every 15 minutes.
Is Ticker Scout open source?
Yes — it is published under the MIT licence, written in TypeScript and 0 stars on GitHub. The source link is on this page, so you can read exactly what it does with your data before you connect it.