MCP server · Deep research

A buy-side research analyst inside your AI assistant.

Specialised, domain-grounded tools for investment research. Deep company dives, earnings triage, filings and congressional-trade monitoring, comp sets and morning notes, built on SEC EDGAR and live financial data, with citations and no fabrication.

Deep Research
Tool call
Sandbox
Result
Call deep_research_company from my assistant.

now

Assistant called deep_research_company
OpenHelm spun up a cloud sandbox
Working through the task…
Evidence-backed result returned
Where shall we steer?
Deep Research · live

What it does

The Deep Research server adapts OpenHelm’s investment-analyst workflows into specialised tools. Rather than generic browsing, each tool runs structured prompts grounded in official sources, SEC EDGAR, company IR pages, live market data, so outputs are quantitative, source-cited investment memos rather than guesses.

It is built for hedge funds, asset managers, VCs and corporate strategy teams who want the structured groundwork, monitoring, triage, comps, briefs, automated, while keeping the investment judgment with their team.

Endpoint

Add this URL to your MCP client.

Remote MCP URL
https://mcp.openhelm.ai/research/mcp
Local bridge (optional)
npx mcp-remote https://mcp.openhelm.ai/research/mcp

Tools

What your assistant can call.

Available on https://mcp.openhelm.ai/research/mcp

deep_research_company

An exhaustive investigation of a business: model, risks and moat analysis.

earnings_triage

Isolate guidance changes, key executive quotes and consensus discrepancies from a fresh print.

track_insider_and_congress_trades

Query and synthesise recent SEC Form 4 filings and congressional STOCK Act disclosures.

build_comp_set

Generate comparable peer tables with valuation multiples and growth-divergence narratives.

monitor_sec_filings

Track material risk-factor changes or accounting divergences across corporate filings.

expert_call_brief

Prepare a target-company brief and high-conviction screening questions ahead of expert calls.

screen_sector

Run thematic macro screens (e.g. software margins, logistics backlogs) across an industry.

morning_notes

Scan overnight filings and market indicators into a pre-market brief.

check_result

Continue polling or retrieve finalised financial artifacts.

Get started

Connect in under a minute.

  1. 1

    Add the remote server

    In ChatGPT, Claude, Cursor or any MCP client, add a remote connector pointing at https://mcp.openhelm.ai/research/mcp. No install, no terminal, no Node setup. For clients that need a local bridge, run npx mcp-remote https://mcp.openhelm.ai/research/mcp.

  2. 2

    Connect your OpenHelm account

    Click Connect and you are sent to app.openhelm.ai/connect to authorise via OAuth 2.1. Your encrypted OpenHelm API key is wrapped in a signed token, the server itself stores no secrets.

  3. 3

    Add a card to start the trial

    New accounts add a card to activate a 14-day free trial (you are not billed during the trial). This keeps the shared cloud compute protected from multi-account abuse.

  4. 4

    Run tasks from your assistant

    Ask your assistant in plain English. It calls the right tool, OpenHelm spins up an isolated cloud browser sandbox, and returns evidence-backed structured results, polling check_result for longer runs.

Want it run for you as a managed service, not just as tools in your assistant? See the full research-analyst offering.

See the hedge fund use case

Common questions about the Deep Research server

Want it run for you instead?

The MCP servers put the tools in your assistant. If you'd rather we run the whole workflow as a managed service, book a 20-minute call and we'll scope it.