Server data from the Official MCP Registry
Policy gate and signed trust receipts for autonomous agent actions.
About
Policy gate and signed trust receipts for autonomous agent actions.
Remote endpoints: streamable-http: https://ai-risk-oracle.fly.dev/mcp
Security Report
Valid MCP server (1 strong, 0 medium validity signals). No known CVEs in dependencies. Imported from the Official MCP Registry.
9 tools verified · Open access · No issues found
Security scores are indicators to help you make informed decisions, not guarantees. Always review permissions before connecting any MCP server.
Permissions Required
This plugin requests these system permissions. Most are normal for its category.
How to Connect
Remote Plugin
No local installation needed. Your AI client connects to the remote endpoint directly.
Add this to your MCP configuration to connect:
{
"mcpServers": {
"io-github-interailabs-ai-risk-oracle": {
"url": "https://ai-risk-oracle.fly.dev/mcp"
}
}
}Documentation
View on GitHubFrom the project's GitHub README.
InterAI Risk Oracle
Centralized policy gate and signed audit receipts for consequential agent actions.
Before an agent executes, InterAI verifies.
Agent proposes action
-> InterAI verifies
-> allow / review_required / block
-> execute / route / abort
-> store receipt
What It Is
InterAI Risk Oracle sits between an autonomous agent and the action it wants to execute: a tool call, payment, wallet signature, database update, workflow approval, trade, or outbound message.
The agent sends the proposed action to InterAI before execution. InterAI returns a risk
score, machine-readable signals, recommended_action, policy_result, and trust
receipt metadata. The agent then executes, routes for review, or aborts based on the
decision, and stores the receipt for audit.
Default self-serve path:
pricing -> onboard/API key/trial or x402 -> verify -> decision -> receipt
Run the live read-only demo first:
https://ai-risk-oracle.fly.dev/demo
Use InterAI Before Tool Execution
Wire InterAI into your agent before the agent executes a tool or action:
- Demo: https://ai-risk-oracle.fly.dev/demo
- TypeScript middleware example: examples/agent-middleware/typescript
- Python middleware example: examples/agent-middleware/python
- Integration patterns: docs/integration-patterns.md
- 30-day design-partner pilot: docs/pilot-program.md
decision = interai.verify(action)
if decision.allow:
execute(action)
elif decision.review_required:
route_to_review(action)
else:
block(action)
store(decision.trust_receipt_id)
Why Autonomous Agents Need Execution Verification
Autonomous systems increasingly call tools, move funds, consume third-party outputs, and trigger workflows without constant human review. A verification layer gives those systems a pre-execution checkpoint: inspect the planned action, evaluate risk, and decide whether to allow, require review, or block execution.
Core Use Cases
- Agent-before-tool execution
- Agent-before-payment
- Autonomous wallet gate
- Pre-trade verification
- High-risk tool call governance
Who Is This For?
- agent builders
- autonomous workflow platforms
- wallet/payment agents
- tool-using AI systems
- governance and audit layers
What This Repository Is / Is Not
This repository is for public integration materials: SDKs, schemas, examples, OpenAPI, A2A/MCP discovery metadata, and hosted API docs. The production verification engine is hosted and proprietary.
Use the SDKs, schemas, examples, and discovery metadata to integrate with the hosted API. Do not expect to run the production verification engine from this repo.
Quickstart
Use the hosted API. Do not run a local backend from this repository. Start with the guided demo at https://ai-risk-oracle.fly.dev/demo. One click creates a short-lived credential in memory, evaluates a fixed safe action, and opens its public receipt. Then use OpenAPI and the SDK source to integrate the hosted API.
curl -sS -X POST https://ai-risk-oracle.fly.dev/verify \
-H "Authorization: Bearer <interai_credential>" \
-H "Content-Type: application/json" \
-H "X-Idempotency-Key: quickstart-operation-1" \
-d '{
"use_case": "agent-before-tool-execution",
"action": {
"type": "tool_call",
"name": "send_invoice_payment",
"description": "Pay a vendor agent after delivery validation",
"amount_usd": 250,
"currency": "USD",
"irreversible": false,
"external_side_effect": true
},
"context": {
"agent_id": "agent_123",
"environment": "production",
"counterparty_id": "vendor_agent_456",
"user_confirmation": false
},
"policy": {
"max_risk_level": "medium",
"require_trust_receipt": true,
"amount_usd_limit": 500,
"blocked_action_types": ["irreversible_transfer"],
"require_human_review_above": 0.75
}
}'
Example API Call
import { InterAIRiskOracleClient } from "./sdk/typescript/index"
const oracle = new InterAIRiskOracleClient({
baseUrl: "https://ai-risk-oracle.fly.dev",
apiKey: "replace-with-your-credential"
})
const action = {
type: "payment",
name: "release_vendor_payment",
description: "Release payment to a vendor agent",
amount_usd: 125,
currency: "USD",
irreversible: false,
external_side_effect: true
}
const decision = await oracle.verify({
use_case: "agent-before-payment",
action,
context: {
agent_id: "agent_123",
environment: "production",
counterparty_id: "vendor_agent_456",
user_confirmation: false
},
policy: {
max_risk_level: "medium",
require_trust_receipt: true,
amount_usd_limit: 500,
blocked_action_types: ["irreversible_transfer"],
require_human_review_above: 0.75
}
})
switch (decision.recommended_action) {
case "allow":
await execute(action)
break
case "review_required":
await routeToSupervisorOrPolicyLayer(action, decision)
break
case "block":
await abortAction(action, decision)
break
}
Example Response
score is a risk score from 0 to 1. Higher values mean higher execution risk.
{
"decision_id": "tr_01JZPUBLICEXAMPLE",
"request_contract": "autonomous_execution",
"score": 0.42,
"risk_level": "medium",
"signals": {
"has_external_side_effect": true,
"is_irreversible": false,
"involves_money": true,
"amount_usd": 125,
"requires_user_confirmation": true,
"has_counterparty": true,
"environment": "production",
"action_type": "payment",
"autonomous_execution_detected": true
},
"recommended_action": "review_required",
"policy_result": "review_required",
"policy_violations": [],
"trust_receipt_id": "tr_01JZPUBLICEXAMPLE",
"trust_receipt": {}
}
Trust Receipts
Trust receipts are durable records of a verification decision. They are designed for agent-to-agent handoff, audit trails, retry safety, and governance systems that need to prove a verification happened before execution.
Agent-Native and Self-Serve Adoption
InterAI is not only for human developers. Autonomous agents, orchestrators, wallet
agents, tool routers, and policy layers can discover InterAI from .well-known metadata
and decide when to use it before execution.
Default agent path:
discover -> onboard or x402 -> verify -> act on decision -> store receipt
Default human path:
GitHub/landing -> pricing -> onboard -> API key/topup/x402 -> verify -> store receipt
Email is available for support, security, enterprise access, partnerships, and manual integration help. It is not required as the core self-serve path.
- Public adoption contract: discovery/autonomous-adoption.json
- Hosted adoption contract: https://ai-risk-oracle.fly.dev/.well-known/autonomous-adoption.json
- Demo: https://ai-risk-oracle.fly.dev/demo
- Pricing: https://ai-risk-oracle.fly.dev/pricing
- Onboard: https://ai-risk-oracle.fly.dev/onboard
Discovery
Agent-readable discovery metadata is available in discovery/. These files describe public capabilities, authentication, schemas, and integration surfaces without exposing service internals.
SDKs
- TypeScript SDK — buildable npm package source
- Python SDK — buildable Python package source
Both packages are prepared for publication and generate idempotency keys by default. Confirm the corresponding registry release before advertising an install command as generally available.
Bearer-billed HTTP verification requires an idempotency key; the SDKs generate
one automatically. For retrying the same business operation, supply the same
stable key. Autonomous actions that omit external_side_effect or
irreversible expose those signals as null and receive at least
review_required rather than being interpreted as safe.
Examples
- 3 decisions in 90 seconds
- Distribution pack
- Tester readiness pack
- Agent before tool execution
- Agent before payment
- Agent middleware TypeScript
- Agent middleware Python
- Autonomous wallet gate
- Pre-trade verification
- Integration patterns
- Adoption recovery and measurement
Public Repository Scope
This repository contains public API documentation, SDKs, schemas, examples, and discovery metadata for the hosted InterAI Risk Oracle service. The production verification engine, billing infrastructure, trust logic, scoring system, and hosted service internals are proprietary and not open source.
Self-Serve Access / Contact
InterAI Risk Oracle is available through hosted self-serve metadata and API endpoints. Agents and integrators can discover pricing, onboarding, and verification endpoints directly from the hosted API.
- Docs: https://github.com/InterAILabs/ai-risk-oracle
- Support / enterprise / partnerships: interailabs@gmail.com
- Security: interailabs@gmail.com
Reviews
No reviews yet
Be the first to review this server!
More Developer Tools MCP Servers
Fetch
Freeby Modelcontextprotocol · Developer Tools
Web content fetching and conversion for efficient LLM usage
Git
Freeby Modelcontextprotocol · Developer Tools
Read, search, and manipulate Git repositories programmatically
Toleno
Freeby Toleno · Developer Tools
Toleno Network MCP Server — Manage your Toleno mining account with Claude AI using natural language.
mcp-creator-python
Freeby mcp-marketplace · Developer Tools
Create, build, and publish Python MCP servers to PyPI — conversationally.
MarkItDown
Freeby Microsoft · Content & Media
Convert files (PDF, Word, Excel, images, audio) to Markdown for LLM consumption
MCP Marketplace
Freeby mcp-marketplace · Developer Tools
Search and install MCP servers from inside your AI client.
