Audit and validate AI output for trust, risk, and correctness before production.
git clone https://github.com/taplid/taplid{
"mcpServers": {
"taplid": {
"command": "node",
"args": ["/path/to/taplid/dist/index.js"]
}
}
}MCP Servers overview
# 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: 1. **Run an audit** Run a Standard or Artifact audit against supplied context, schema, code, config, or policy. 2. **Retrieve an audit** Retrieve a persisted public audit result by `auditId`. 3. **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`](https://www.npmjs.com/package/@taplid/client) | Server-side SDK | | [`@taplid/cli`](https://www.npmjs.com/package/@taplid/cli) | Local and CI audit checks | | [`@taplid/mcp`](https://www.npmjs.com/package/@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: https://taplid.com/docs This README intentionally stays small so the official documentation remains the source of truth.
What people ask about taplid
What is taplid/taplid?
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taplid/taplid is mcp servers for the Claude AI ecosystem. Audit and validate AI output for trust, risk, and correctness before production. It has 0 GitHub stars and was last updated 1mo ago.
How do I install taplid?
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You can install taplid by cloning the repository (https://github.com/taplid/taplid) or following the README instructions on GitHub. ClaudeWave also provides quick install blocks on this page.
Is taplid/taplid safe to use?
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taplid/taplid has not been audited yet by our security agent. Review the original repository on GitHub before using it in production.
Who maintains taplid/taplid?
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taplid/taplid is maintained by taplid. The last recorded GitHub activity is from 1mo ago, with 0 open issues.
Are there alternatives to taplid?
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Yes. On ClaudeWave you can browse similar mcp servers at /categories/mcp, sorted by popularity or recent activity.
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