Governed financial tools for AI agents

Connect Claude Desktop, Cursor, VS Code and internal agents to QuantJourney MCP runtimes. Agents can discover approved tools, call scoped API routes and receive structured outputs with provider metadata, request IDs and audit context.

Install API MCP in VS Code Set up in Codex Set up in Claude Code Add to Claude

VS Code installs the endpoint directly. Codex and Claude Code open a pre-filled setup request for you to review and submit. Claude opens Custom Connectors; add the API MCP URL shown on this page.

1300+MCP tools

60+Connectors

16Domain families

API MCP: https://api.quantjourney.cloud/mcp

Example Prompts

What agents can ask.

Company analysis

Fundamentals and ratios

Pull statements, ratios, estimates and pricing context for a single issuer or peer group.

"Compare AAPL, MSFT and GOOGL valuation ratios and show provider metadata."

Macro

Economic context

Fetch FRED, ECB, IMF or public macro series for regime and scenario context.

"Show US CPI, unemployment and 10Y yield context since 2020."

Regulatory

Filings and ownership

Use SEC, Form 4, 13F and entity-reference routes for diligence workflows.

"Summarize recent NVDA insider activity and cite the filing source."

Crypto and events

Digital assets and predictions

Use exchange and event-market tools with scoped access and normalized outputs.

"Fetch BTC market context and compare with selected macro indicators."

Agent Skills

MCP gives agents governed tools. QJ Skills give them repeatable workflows.

Skills define repeatable research playbooks for equity deep dives, macro briefs, earnings previews, institutional flow, valuation workbenches and risk reviews.

Open skills page

Example Outputs

MCP examples from financial data tools.

These screenshots show the kind of structured financial outputs an MCP-connected assistant can produce from approved QuantJourney tools.

MCP P/E comparison chart for AAPL MSFT and GOOGL — Peer valuation: P/E ratio comparison generated from fundamentals and market data tools.

MCP macro chart generated from US GDP growth and unemployment data — Macro workflow: GDP growth and unemployment context requested through an MCP-connected agent.

MCP revenue chart generated for Tesla — Equity workflow: Tesla revenue analysis returned as a structured visual response.

MCP CNN Fear and Greed Index chart — Market sentiment: fear and greed context returned through a governed tool call.

MCP Bitcoin order book depth chart — Digital assets: BTC order book depth from exchange data exposed through MCP.

Setup

Configure a governed MCP client.

Use https://api.quantjourney.cloud/mcp as the machine endpoint. This page lives at /mcp/docs; do not use the docs URL as an MCP server URL.

Surface

Use API MCP

Use API MCP for public QuantJourney API route tools, provider-backed market data, macro routes and domain endpoints.

VS Code

Install or configure directly

Use the button above, or add the remote API MCP server to your user or workspace mcp.json.

{
  "servers": {
    "quantjourney-api": {
      "type": "http",
      "url": "https://api.quantjourney.cloud/mcp"
    }
  }
}

Codex

Use Streamable HTTP directly

Add the API MCP URL to config.toml. Codex performs the OAuth login directly, without an npm bridge.

[mcp_servers.quantjourney_api]
url = "https://api.quantjourney.cloud/mcp"

Then run codex mcp login quantjourney_api.

Manual setup

Configure manually with Raw Config JSON

If your MCP client shows a Configure Manually dialog with a Raw Config (JSON) input, paste the JSON on the right. This config is for the API MCP endpoint only.

Open your client's MCP connector settings.
Choose manual configuration or Raw Config (JSON).
Paste the JSON and confirm.
Complete the QuantJourney OAuth login when prompted.

Raw Config (JSON)

{
  "mcpServers": {
    "quantjourney-api": {
      "type": "http",
      "url": "https://api.quantjourney.cloud/mcp"
    }
  }
}

Do not paste /mcp/docs as a server URL; that page is documentation, not the MCP transport.