Audit AI responses and artifacts with ALLOW, REVIEW, or BLOCK decisions and trust scores.
Copy the AI prompt to install this server into Claude Code, Cursor, or another agent β or use 1-click editor setup below.
π‘ Paste the JSON block into your client's configuration file under mcpServers, then restart the application.
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.
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 by auditId.
Verify an audit
Verify the signed attestation, issuer, signed fields, and result hash for a saved audit.
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:
| 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 |
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.
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