mcp server
mcp-agentcore
AI governance MCP server for EU AI Act compliance and jurisdiction verification
Description as published by the maintainer. Source
- version 0.1.0
- active
- security
active — Most recent push to the repository was 2026-08-05. Dashed tags are derived by ZBS Index from the published description, not stated by the maintainer.
What this server can do
3 functions, named and described by the server itself. Parameter names are shown because they say more about what a function does than its name usually does.
check_delegation_chain(agent_pk, tool_name)- Verify the human → agent delegation chain and check whether a specific tool is whitelisted for this agent. Answers the regulatory question: "Did a real human authorize this AI action?" Returns the principal identity, delegation depth, cert validity, and tool authorization. Required: tool_name.
generate_audit_proof(to, from, agent_pk)- Generate a EU AI Act Art. 12 (record-keeping) and Art. 14 (human oversight) compliance evidence bundle for an AI agent. Returns the cryptographic audit chain, Merkle epoch roots, delegation certificate, trust score, and violation history — sufficient for regulatory submission. The chain_verification.is_valid field proves the audit trail has not been tampered with.
verify_jurisdiction(facet, h3_cell, agent_pk)- Verify that an AI agent is authorized to operate in a specific H3 territorial cell. Checks the GNS-AIP delegation certificate: signature validity, temporal bounds, H3 cell authorization, and facet authorization. Returns a structured result indicating whether the agent may proceed. Required: h3_cell.
Last successful function declaration observed on . Source: https://geiant-agentcore-production.up.railway.app/mcp. We list what the server declared; we do not call any of these functions.
Endpoint status observed on . Source: https://geiant-agentcore-production.up.railway.app/mcp.
Signals
These are separate measurements of different things. They are deliberately not combined into one score, because a popularity number that mixes website traffic with saves and stars cannot be checked or acted on.
| Signal | Value | What it measures | Window | Observed | Source |
|---|---|---|---|---|---|
| GitHub stars | 0 | Number of GitHub accounts that bookmarked this repository since it was created. It is a bookmark count, not installs, not active users and not quality. | cumulative, all time | GitHub | |
| Last commit | 2026-08-05 | Date of the most recent push to any branch. This is the strongest cheap indicator of whether the project is still maintained. | point in time | GitHub | |
| Open issues | 0 | Open issues plus open pull requests, as GitHub counts them together. A high number can mean an active project or an abandoned one. | as of fetch | GitHub | |
| Latest published version | 0.1.0 | Latest version string the maintainer published to the registry. | as of fetch | Model Context Protocol | |
| Registry record last updated | 2026-04-11 | When the registry record was last updated by its maintainer. | point in time | Model Context Protocol | |
| First listed in the MCP Registry | 2026-04-11 | Date this server was first published to the official MCP Registry. Not a usage or quality measure. | point in time | Model Context Protocol | |
| repository status | active | The repository exists on GitHub and is not archived. This says nothing about how recently it was worked on. | as of fetch | GitHub | |
| mcp tools declared | 3 tools | Number of functions the server itself declared when asked to list them. This is what the server offers an agent, not a measure of how well any of them work. | as of probe | geiant-agentcore-production.up.railway.app | |
| mcp endpoint status | ok | The server listed 3 functions when asked. | as of probe | geiant-agentcore-production.up.railway.app |
Where to get it
Also from gns-foundation
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com.geiant/mcp-perception
— last commit 2026-08-05
Geospatial AI MCP server — satellite imagery, embeddings, weather, GNS governance
This record as data
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