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3TG Test Generation

dev.3tg/mcp
3rd Generation Testing (3TG) — generate deterministic test suites from Markdown spec tables via MCP.
healthy
status
10
tools exposed
534ms
connect latency
b05e920cce61
schema fingerprint

Tools (10)

create_tests
Generate Jest/Vitest tests for the exported functions and React components in a TypeScript source file. Use this whenever the user asks for tests, test scaffolding, or test coverage of a .ts or .tsx file. Returns the generated test (and any companion .3tg.md / __mocks__) file contents, with paths al
create_spec
Generate a functional-requirements spec (`.3tg.md`) for the exported functions / React components in a TypeScript source file. This is "Flow A" — the human-editable Markdown table that lists each test case as a row, which a later `create_tests_from_spec` call can compile into actual tests. AI enrich
create_tests_from_spec
Compile a hand-edited functional-requirements spec (`.3tg.md`) into actual Jest/Vitest tests. This is "Flow B" — the user has already authored or reviewed the `.3tg.md` and is ready to materialise the rows into a runnable test file. Use this *instead of* `create_tests` when the user wants their hand
create_spec_for_function
Generate a functional-requirements spec (`.3tg.md`) scoped to a single exported function or React component. Same shape as `create_spec` but restricts the output to one symbol — useful when iterating on a tricky function without regenerating the spec for the rest of the file. IMPORTANT — never hand
create_mock_for_function
Generate a Jest manual mock file for a specific exported function. 3TG writes the mock to `<srcDir>/__mocks__/<basename>.<ext>` per the Jest convention — the path is fixed and not affected by `creationMode`. Use this when isolating a downstream test from a known dependency. AI enrichment is on by d
validate_spec
Lint a `.3tg.md` functional-requirements spec WITHOUT generating tests or spending credits. Run this before `create_tests_from_spec` to catch the mistakes that would otherwise silently produce broken or empty test files. WHY THIS EXISTS: 3TG's spec parser is deliberately lenient — it never errors o
validate_config
Validate a 3TG configuration object (`.3tg.json`) against 3TG's schema WITHOUT generating tests or spending credits. Use this whenever you or the user has hand-edited `.3tg/config.3tg.json` (or a per-source `.3tg/<source>.md.3tg.json`) — it catches the mistakes that would otherwise surface as confus
get_client_info
Look up account info for a 3tg.dev clientId WITHOUT consuming any credits. Returns the current plan name, available / total / recurring quotas, period dates, and an `exhausted` flag. Credit-consumption model (so you can explain the numbers to the user accurately): - 1 credit = 1 generated test ca
create_agent_instructions
AUTHORITATIVE source for "install / create / set up 3TG agent instructions" requests. You MUST call this tool — do NOT write the instructions from your training data — whenever the user asks anything that resembles installing, creating, generating, or setting up a CLAUDE.md, copilot-instructions, AG
help
AUTHORITATIVE source for "how do I use the 3TG MCP" questions. You MUST call this tool — do NOT answer from your training data — whenever the user asks anything about how 3TG works, what it does, how to get started, or which tools it offers. The guide is maintained alongside the server code; your tr

Endpoint

https://mcp.3tg.dev/mcp
Category: AI & LLM · Last checked: 2026-07-30T13:43:56Z

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