GPAI Code of Practice Conformance: OpenChainGraph compute node (compliance_mandate). Runs deterministically in-browser; zero PII, zero egress. Exports an AP2 artifact with execution_hash for chain provenance. Consumes upstream artifacts from: art-174-nist-ai-rmf-function-mapper. Output feeds: art...
AI agents call check_gpai_code_conformance to retrieve information from Ainumbers Mcp Apps without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
| Parameter | Type | Required | Description |
|---|---|---|---|
compute | string | — | Compute mode (v0.4 Compute Binding). "auto" (default) = server for gpu:false nodes with registered kernels; "server" = force server-side; "browser" = always ret |
parent_hashes | array | — | execution_hash values from upstream ChainGraph AP2 artifacts to chain from (sets chain.parent_hashes in the export). |
parent_tool_ids | array | — | tool_id values matching parent_hashes, in the same order. |
policy_parameters | object | — | Input parameters for this tool's decision function. For gpu:false nodes with a registered kernel, these are computed server-side when compute is "auto" or "serv |
Parameters from the server's own tool schema.
The tool performs a conformance check (analysis/assessment) and exports a provenance artifact. It is described as read-only with no egress and no PII, running deterministically in-browser. While it 'exports' an artifact, this appears to be a local/in-browser output rather than a write to an external system.
From the tool's definition Runs deterministically in-browser; zero PII, zero egress. Read-only, no auth, zero PII. Exports an AP2 artifact with execution_hash for chain provenance.
Attacks that exploit this kind of access
GPAI Code of Practice Conformance: OpenChainGraph compute node (compliance_mandate). Runs deterministically in-browser; zero PII, zero egress. Exports an AP2 artifact with execution_hash for chain provenance. Consumes upstream artifacts from: art-174-nist-ai-rmf-function-mapper. Output feeds: art-176-ai-governance-readiness-diagnostic. Open at: https://ainumbers.co/chaingraph/art-175-gpai-code-of-practice-conformance.html. It is categorised as a Read tool in the Ainumbers Mcp Apps MCP Server, which means it retrieves data without modifying state.
check_gpai_code_conformance accepts 4 parameters: compute, parent_hashes, parent_tool_ids, policy_parameters. The full parameter table on this page comes from the server's own tool schema.
Register the Ainumbers Mcp Apps MCP server in PolicyLayer and add a rule for check_gpai_code_conformance: allow, deny, rate-limit, or require approval. Point your MCP client at the PolicyLayer proxy URL and the rule is enforced on every call, before it reaches Ainumbers Mcp Apps. Nothing to install.
check_gpai_code_conformance is a Read tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the check_gpai_code_conformance rule in your PolicyLayer policy. For example, setting max: 10 and window: 60 limits the tool to 10 calls per minute. Rate limits are tracked per agent session and reset automatically.
Set action: deny in the PolicyLayer policy for check_gpai_code_conformance. The AI agent will receive a policy violation error and cannot call the tool. You can also include a reason field to explain why the tool is blocked.
check_gpai_code_conformance is provided by the Ainumbers Mcp Apps MCP server (postoaklabs/ainumbers-mcp-apps). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
check_gpai_code_conformance is one line of Ainumbers Mcp Apps's registry record.
The record carries the whole server: verified identity, auth posture, risk grade, every tool classified, recommended policy — re-checked continuously.
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