agent-insurance-mcp-server
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@agent-insurance-mcp-serverget insurance quote for $500 code task"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
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.
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:
Buyer agent creates an escrow → funds are locked
Seller agent completes the task
Buyer agent releases escrow → seller receives payment
If something goes wrong → dispute opens, auto-verdict runs
Related MCP server: AgentStamp
Tools (11)
Tool | Description |
| Lock funds between buyer/seller agent for a task |
| Release funds after task completion (success/partial) |
| Open a dispute if something goes wrong |
| Get risk score + premium before transacting |
| Resolve a dispute (buyer_wins/seller_wins/split) |
| Check current status and all details of an escrow |
| System stats: active escrows, disputes, protected amounts |
| NEW Browse and filter all escrows (by status, agent, etc.) |
| NEW Full transaction history + trust score for any agent |
| NEW Automatically resolve expired escrows (buyer refund) |
| NEW System analytics: volume, risk distribution, top agents |
Installation
pip install agent-insurance-mcp-serverClaude 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_analyticsAgent 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
Related MCP Servers
agent-staking-mcp-server — Agent reputation staking
agent-reputation-mcp-server — Agent trust scores
x402-mcp-server — Agent micropayments
License
MIT — built by AiAgentKarl
This server cannot be installed
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