mcp-agentcore

AI governance MCP server for EU AI Act compliance and jurisdiction verification

Should I use this

Quality & Safety

A
Description quality
100%
Schema completeness
97%
Naming quality
100%
Poisoning risk
100%
Permission match
100%
Protocol compliance
100%

Based on automated analysis of tool definitions and protocol compliance.

Context Cost

~485Tokens (tool definitions)
~1.0 KBTypical response size
Minimal attention impact (0.38% of 128k context)

This is the approximate number of tokens consumed each time the server's tools are loaded into a model's context. Higher counts reduce the attention available for other tasks.

Install

One-Click Install

Add this to your `claude_desktop_config.json` file:

{
  "mcpServers": {
    "mcp-agentcore": {
      "url": "https://geiant-agentcore-production.up.railway.app/mcp"
    }
  }
}

Remote endpoints

https://geiant-agentcore-production.up.railway.app/mcpstreamable-http

What it can do

Tool inventory

Tools (3)

🟢 Read-only🟡 Write🔴 Delete⚪ Unknown
⚪verify_jurisdiction(h3_cell, facet, 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.

Input Schema

{
  "type": "object",
  "properties": {
    "h3_cell": {
      "type": "string",
      "description": "H3 cell index representing the operation territory"
    },
    "facet": {
      "type": "string",
      "description": "Facet to check (e.g. \"energy@italy-geiant\")"
    },
    "agent_pk": {
      "type": "string",
      "description": "Agent Ed25519 public key (64 hex chars)"
    }
  },
  "required": [
    "h3_cell"
  ],
  "additionalProperties": false,
  "$schema": "http://json-schema.org/draft-07/schema#"
}
⚪generate_audit_proof(agent_pk, from, to)

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.

Input Schema

{
  "type": "object",
  "properties": {
    "agent_pk": {
      "type": "string",
      "description": "Agent Ed25519 public key (64 hex chars)"
    },
    "from": {
      "type": "string",
      "description": "ISO 8601 start of reporting period"
    },
    "to": {
      "type": "string",
      "description": "ISO 8601 end of reporting period"
    }
  },
  "additionalProperties": false,
  "$schema": "http://json-schema.org/draft-07/schema#"
}
🟢check_delegation_chain(tool_name, agent_pk)

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.

Input Schema

{
  "type": "object",
  "properties": {
    "tool_name": {
      "type": "string",
      "description": "Name of the tool the agent intends to call"
    },
    "agent_pk": {
      "type": "string",
      "description": "Agent Ed25519 public key (64 hex chars)"
    }
  },
  "required": [
    "tool_name"
  ],
  "additionalProperties": false,
  "$schema": "http://json-schema.org/draft-07/schema#"
}

Community

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Evidence

Recent observations

verifiedversion not recorded3 tools
verifiedversion not recorded3 tools