ao-mcp-tollbooth
š”ļø AO MCP Tollbooth A Model Context Protocol (MCP) server providing automated risk triage, liquidity checks, and security guardrails for AI agents operating on the AO / Arweave network.
š Community & Ecosystem Integration ao-mcp-tollbooth is registered as a specialized Community Server for autonomous agents across the Web3 and AO ecosystems.
Registry Entry: * ao-mcp-tollbooth - Automated risk triage and security guardrails for AI agents on AO/Arweave.
Category: Security, Risk Triage & Infrastructure
Target Network: AO / Arweave Ecosystem
š Overview ao-mcp-tollbooth acts as an automated safety gate for autonomous agents. Before executing financial interactions or interacting with unknown processes on AO, agents pass process metadata to Tollbooth to receive a real-time risk assessment and actionable trigger responses.
Key Features GraphQL Process Triage: Fetches process history and transaction metadata directly via Arweave gateways.
Financial Risk Heuristics: Computes a normalized financial_risk_score (0ā100) based on verified credentials, transaction volume, and interaction history.
Agent Decision Triggers: Emits standardized actions (ALLOW, FLAG_FOR_REVIEW, BLOCK) for seamless integration with LLM decision loops.
Zero Overhead: Pure local computation for triage execution with minimal network latency.
š ļø Quickstart Prerequisites Python 3.10+
Git
Installation Bash git clone https://github.com/Ryddegutt/ao-mcp-tollbooth.git cd ao-mcp-tollbooth pip install -e . š” Usage Start the MCP server locally:
Bash python server.py Response Schema Example JSON { "process_id": "0x123...abc", "alpha_score": 85, "financial_risk_score": 20, "is_verified": true, "agent_action": "ALLOW" } āļø Disclaimer This software provides heuristic risk scoring based on publicly available ledger metadata. It does not constitute financial or legal advice, nor does it guarantee the absolute safety of target processes.
š License MIT License Ā© 2026 Ryddegutt
This server cannot be deployed
Maintenance
Related MCP Connectors
Pre-execution governance for AI agents. Deterministic PASS/FAIL/REVIEW verdicts, replayable proof.
DeFi safety layer for AI agents: wallet safety, token risk, tx decode/simulate. 20 tools.
Pay-per-call safety checks for AI agents: screen a crypto address or URL before you transact.
Agent-native security, trust, reliability, data and procurement tools for AI workflows.
Related MCP Servers
- AlicenseAqualityDmaintenanceSafety layer for autonomous DeFi agents. Scans contracts for exploit patterns, simulates transactions, blocks honeypots.411 npm1MIT
- AlicenseNot gradedqualityDmaintenancePre-execution safety layer for autonomous agent wallets. Risk scoring, transaction simulation, and policy enforcement via MCP.MIT
- AlicenseNot gradedqualityCmaintenanceSecurity layer for AI agents that evaluates transaction intents and returns verdicts (ALLOW/WARN/DENY) using deterministic rules, on-chain checks, and simulation.6 npmMIT
- AlicenseNot gradedqualityBmaintenanceProvides risk guardrails for AI trading agents by analyzing portfolio risk, checking trades against policies, and generating risk policies.147 PyPI2MIT