Local checks for artifacts, declared claim evidence, and citation containment.
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.
Local, deterministic tools for checking AI-generated work before it is released.
The toolkit contains two Model Context Protocol (MCP) servers and six portable Agent Skills. They inspect retained artifacts, declared claim support, literal citations, completion contracts, blockers, and release receipts without calling a model, uploading files, or requiring a Daily AI Agents account.
Release status:
0.1.1patch release candidate. PyPI0.1.0is public; the patch corrects the case-sensitive MCP Registry ownership marker.
AI systems can produce convincing output without proving that required artifacts exist, cited text is present, or a completion contract was actually satisfied. These tools make those narrow checks repeatable and preserve uncertainty instead of silently upgrading it to success.
They deliberately do not determine broad truth, judge semantic entailment, approve a release, validate a live service, or establish legal or security compliance.
| Component | Interface | Purpose |
|---|---|---|
| Evidence Gate | MCP server, four tools | Inspect artifacts, declared claim evidence, literal citation containment, and aggregate verification states. |
| Release Gate | MCP server, four tools | Check completion contracts, preserve requirement states, format blockers, and build retained release receipts. |
| Six Agent Skills | Portable skill directories | Reuse artifact, claim, contract, failure-state, and verification procedures with deterministic self-tests. |
verify_artifactaudit_claimsaudit_citationssummarize_verificationcheck_contractevaluate_completionformat_blockersbuild_release_receiptartifact-verifierclaim-truth-gatecompletion-contractcontract-checkerfail-loudverification-benchPython 3.11 or newer is required.
Until the packages are public, install from a clean checkout:
Both servers use MCP stdio transport. A representative client configuration is:
See client configuration for the supported transport boundary.
Run the complete local gate:
The release candidate includes:
See the examples, technical report, receipt schemas, release and recovery process, and local verification record. A passing local check proves only the condition and scope named in its receipt.
Live repository controls and current fail-closed publication gates are recorded in Repository controls.
The servers do not use network access, telemetry, model inference, arbitrary shell execution, or hosted Daily AI Agents infrastructure. Inputs are treated as data rather than shell fragments. URL-only evidence remains UNVERIFIED, and literal citation containment is not semantic support.
Read SECURITY.md and the threat model before using the toolkit on sensitive work.
The toolkit was conceived and led by Cooper Reed, founder of Daily AI Agents LLC, with implementation, testing, release engineering, and documentation developed as a public engineering project. Public claims about the toolkit should link to reproducible checks or retained release evidence in this repository.
Apache-2.0 licensed.
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