# Trace API & MCP Docs

> Public documentation for Trace REST API and MCP tools: company intelligence, technologies, vendors, partnerships, lists, enrichment, and lookalike target generation.

Use these docs when writing code against Trace, configuring AI agents, or answering questions about Trace API and MCP behavior. Prefer `/llms-full.txt` when you need the full docs corpus in one file. Prefer the OpenAPI document when you need exact REST request and response schemas.

## Machine-readable resources

- [Full docs corpus](https://docs.tracedata.ai/llms-full.txt)
- [OpenAPI JSON](https://api.tracedata.ai/v1/openapi.json)
- [MCP server card](https://docs.tracedata.ai/.well-known/mcp.json)
- [MCP server endpoint](https://mcp.tracedata.ai/mcp)

## Essentials

- [Quickstart](https://docs.tracedata.ai/quickstart.md): Get an API key and make your first Trace API call in two minutes.
- [Authentication](https://docs.tracedata.ai/authentication.md): API key types, the X-API-Key scheme, and how credentials map to endpoints.
- [Credits & usage](https://docs.tracedata.ai/credits.md): How Trace meters API usage, rate limits, and backpressure headers.
- [Errors](https://docs.tracedata.ai/errors.md): HTTP status codes and error response shapes returned by the Trace API.

## REST API

- [REST API overview](https://docs.tracedata.ai/api/overview.md): The /v1 REST API at a glance — resources, conventions, and base URL.
- [Companies API](https://docs.tracedata.ai/api/companies.md): Look up company technographics, search, and refresh.
- [Data flags API](https://docs.tracedata.ai/api/data-flags.md): Send company data-quality feedback to Trace for review.
- [Technologies & Vendors API](https://docs.tracedata.ai/api/technologies.md): Find the companies using a given technology or vendor.
- [Partnerships API](https://docs.tracedata.ai/api/partnerships.md): Query bilateral partnerships, shared partners, and partner graphs.
- [Lists API](https://docs.tracedata.ai/api/lists.md): Create and manage saved company lists.
- [Enrichment API](https://docs.tracedata.ai/api/enrichment.md): Batch-enrich partnership data.

## MCP

- [MCP overview](https://docs.tracedata.ai/mcp/overview.md): What the Trace MCP server is, how it authenticates, and which plan it requires.
- [MCP setup](https://docs.tracedata.ai/mcp/setup.md): Server URL, authentication model, tools, and client config snippets for the Trace MCP server.
- [MCP tool reference](https://docs.tracedata.ai/mcp/tools.md): The tools the Trace MCP server exposes and what each one does.
- [Connect Claude.ai](https://docs.tracedata.ai/mcp/connect/claude-ai.md): Add Trace as a custom connector in Claude.ai (web).
- [Connect Claude Desktop](https://docs.tracedata.ai/mcp/connect/claude-desktop.md): Add Trace as a custom connector in Claude Desktop.
- [Connect Claude Code](https://docs.tracedata.ai/mcp/connect/claude-code.md): Add the Trace MCP server to Claude Code.
- [Connect Cursor](https://docs.tracedata.ai/mcp/connect/cursor.md): Add the Trace MCP server to Cursor.
- [Connect VS Code](https://docs.tracedata.ai/mcp/connect/vscode.md): Add the Trace MCP server to VS Code (Copilot agent mode).
- [Connect ChatGPT](https://docs.tracedata.ai/mcp/connect/chatgpt.md): Connecting Trace to ChatGPT (beta).