Taplid
Audit AI outputs and validate structured artifacts before you trust them.
Taplid checks LLM responses, AI code reviews, SQL, Docker, Kubernetes YAML, JSON Schema, API contracts, configs, security rules, and technical review claims against supplied context, schema, code, config, or policy.
Start here
- Website: https://taplid.com
- Documentation: https://taplid.com/docs
- SDK package: https://www.npmjs.com/package/@taplid/client
- CLI package: https://www.npmjs.com/package/@taplid/cli
- MCP package: https://www.npmjs.com/package/@taplid/mcp
What Taplid does
Taplid has three core operations:
-
Run an audit
Run a Standard or Artifact audit against supplied context, schema, code, config, or policy. -
Retrieve an audit
Retrieve a persisted public audit result byauditId. -
Verify an audit
Verify the signed attestation, issuer, signed fields, and result hash for a saved audit.
Artifact and schema validation
Artifact mode works as a schema checker, config validator, SQL schema checker, Docker/Kubernetes checker, API contract validator, and AI code-review verifier.
Use it for:
- JSON Schema and structured output checks
- SQL schema and DDL validation
- Docker, Kubernetes YAML, and Terraform/IaC checks
- API, HTTP, CORS, and policy contract checks
- Security, secrets, credentials, and auth-header checks
- AI code reviews, implementation plans, and agent workflows
Packages
| Package | Purpose |
|---|---|
@taplid/client | Server-side SDK |
@taplid/cli | Local and CI audit checks |
@taplid/mcp | MCP server for Claude, Cursor, OpenAI-compatible agents, and other MCP clients |
Documentation
The full integration guide, code examples, response format, CLI commands, MCP setup, OpenAI-compatible usage, retrieval, and verification examples are maintained here:
This README intentionally stays small so the official documentation remains the source of truth.