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AiAgentKarl

agent-insurance-mcp-server

agent-insurance-mcp-server

MCP server for AI agent transaction insurance and escrow — protect agent-to-agent payments with smart escrow, dispute resolution, and risk scoring.

PyPI version License: MIT

What it does

When AI agents transact with each other — paying for data, code, analysis, or content — there's no guarantee of delivery. This server adds a trust layer:

  1. Buyer agent creates an escrow → funds are locked

  2. Seller agent completes the task

  3. Buyer agent releases escrow → seller receives payment

  4. If something goes wrong → dispute opens, auto-verdict runs

Related MCP server: AgentStamp

Tools (11)

Tool

Description

create_escrow

Lock funds between buyer/seller agent for a task

release_escrow

Release funds after task completion (success/partial)

open_dispute

Open a dispute if something goes wrong

get_insurance_quote

Get risk score + premium before transacting

process_claim

Resolve a dispute (buyer_wins/seller_wins/split)

get_escrow_status

Check current status and all details of an escrow

get_insurance_info

System stats: active escrows, disputes, protected amounts

list_escrows

NEW Browse and filter all escrows (by status, agent, etc.)

get_agent_history

NEW Full transaction history + trust score for any agent

auto_resolve_expired

NEW Automatically resolve expired escrows (buyer refund)

insurance_analytics

NEW System analytics: volume, risk distribution, top agents

Installation

pip install agent-insurance-mcp-server

Claude Desktop Configuration

{
  "mcpServers": {
    "agent-insurance": {
      "command": "agent-insurance-mcp-server"
    }
  }
}

Example Usage

# 1. Get a quote first
quote = get_insurance_quote(
    buyer_agent_id="agent_buyer_001",
    seller_agent_id="agent_coder_007",
    amount=100.0,
    task_type="code"
)
# → risk_score: 35, premium: 2.8%, premium_amount: 2.80

# 2. Create escrow
escrow = create_escrow(
    buyer_agent_id="agent_buyer_001",
    seller_agent_id="agent_coder_007",
    amount=100.0,
    task_description="Build a REST API endpoint for user authentication",
    deadline_hours=48
)
# → escrow_id: "escrow_abc123def456", status: "active"

# 3a. Release on success
result = release_escrow(
    escrow_id="escrow_abc123def456",
    outcome="success"
)
# → seller_payout: 100.0, buyer_refund: 0.0

# 3b. Or open a dispute
dispute = open_dispute(
    escrow_id="escrow_abc123def456",
    reason="Task not delivered as agreed — API is missing auth logic"
)
# → auto_verdict: "buyer_favored", buyer_protection: 80%

# 4. Check agent trust (NEW in v0.2.0)
history = get_agent_history(agent_id="agent_coder_007")
# → trust_score: 72, completion_rate: 90%, dispute_rate: 5%

How Risk Scoring Works

  • Base risk: 30 points

  • Seller dispute history: +0-40 points based on past disputes

  • Transaction size: +5-15 points for large amounts

  • Experience bonus: -2 points per completed escrow (max -20)

  • Premium range: 1-5% of transaction amount

Changelog

v0.2.0 (April 2026)

  • 4 new tools: list_escrows, get_agent_history, auto_resolve_expired, insurance_analytics

  • Agent trust scoring (0-100) based on transaction history

  • Expired escrow auto-resolution with buyer refund

  • System-wide analytics (volume, risk distribution, top agents)

  • 11 tools total (up from 7)

v0.1.0

  • Initial release with 7 core tools

License

MIT — built by AiAgentKarl

A
license - permissive license
-
quality - not tested
C
maintenance

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