Integrate ApiFinance AI Into the Agent You Already Use

The integration surface is deliberately simple: remote MCP over HTTP, OAuth for user-level access, and compact JSON tool responses for stock research.

Choose an environment

Dedicated integration pages help technical users move from evaluation to a successful first call faster.

Desktop and web agent

Claude

Use metrics, growth, valuation, earnings, and filing tools inside Claude through remote MCP.

IDE agent

Cursor

Attach the MCP endpoint in Cursor and bring stock research tools into coding and agent sessions.

VS Code agent

Cline

Use the same remote MCP path inside VS Code planning and coding loops.

Agent IDE

Windsurf

Set up a remote MCP server and expose finance tools inside chat-plus-code workflows.

What is common across all setups

Different tools, same core integration pattern and the same research endpoint layer.
  • Remote MCP endpoint
    One endpoint works across compatible clients.
  • OAuth sign-in
    Each user authenticates with their own ApiFinance AI account.
  • Compact JSON responses
    Tool outputs are designed to be legible to both people and models.

What agents can do after setup

These are the higher-value jobs unlocked by the newer stock research endpoints.

Quality and durability checks

Use fundamental metrics and growth to compare margin structure, returns on capital, balance-sheet strength, and dilution.

Capital allocation reviews

Use capital-allocation and owner-earnings endpoints to inspect buybacks, dividends, debt changes, and cash conversion.

Valuation context

Use valuation-history to explain multiple expansion, compression risk, and long-range percentile context.

Event-driven research

Use earnings, estimates, and SEC filings to keep agents grounded around the next report, latest release, and source URLs.

Jump into the endpoint docs

If you are evaluating Claude or Cursor for finance workflows, start from the endpoint families that map to real research tasks.