API Testing Platform
An LLM-driven API testing platform exposed over MCP, enabling declarative test definition and DAG-based execution.
README
API Testing Platform
An LLM-driven API testing platform exposed over MCP. Tests are authored as typed,
declarative defineTest/defineSuite values, compiled to a normalized JSON manifest,
and executed by a pure in-house DAG engine.
- Architecture: docs/research.md
- Implementation plan: docs/implementation-plan.md
- Live status: docs/PROGRESS.md
- Agent guide: CLAUDE.md
Package map
| Package | Name | Responsibility |
|---|---|---|
packages/schema |
@atp/schema |
Zod schemas + inferred types — the single source of truth |
packages/engine |
@atp/engine |
Pure execution engine (HTTP, assertions, DAG); no MCP/AWS deps |
packages/reporting |
@atp/reporting |
ExecutionResult → Markdown / HTML / JUnit / llm_summary |
packages/store |
@atp/store |
Persistence: Postgres record + queue, artifact store |
packages/mcp-server |
@atp/mcp-server |
Stateless MCP server + async worker |
packages/cli |
@atp/cli |
Local DX: atp compile / list / run / validate |
tools/compile |
@atp/compile |
Discovery: *.test.ts/*.suite.ts → dist/manifest.json |
tests/ |
— | The test corpus (grows to thousands) |
Development
pnpm install
pnpm typecheck # tsc --noEmit across the workspace
pnpm lint # eslint
pnpm test # vitest run
pnpm compile # build dist/manifest.json (P4+)
Requires Node 22+ and pnpm (corepack enable).
Recommended Servers
playwright-mcp
A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.
Magic Component Platform (MCP)
An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.
Audiense Insights MCP Server
Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.
VeyraX MCP
Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.
Kagi MCP Server
An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.
graphlit-mcp-server
The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.
Neon Database
MCP server for interacting with Neon Management API and databases
Exa Search
A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.
Qdrant Server
This repository is an example of how to create a MCP server for Qdrant, a vector search engine.
E2B
Using MCP to run code via e2b.