finance MCP Server
MCP server for AI agent commerce — task evaluation, trust-based negotiation, and JPYC payment execution on Polygon.
Discovered via github-topic:model-context-protocol and last synced 3mo ago.
1. Install the package
npm install jpyc-commerce-mcp
Return escrow deposit calldata (non-custodial)
30–60
`claimExpired(jobKey)`
Agent profiles, trust scores, SBT token ID
Task outcome history (feeds trust score)
Update trust score after task completion (calldata for SBT update)
Generate payment proposal (trust score + bid weighted)
`acceptBid(jobKey, bidIndex)`
Listed products/services
Owner-set skill-based pricing
New agent, no track record
Owner sets skill-based rates and bid limits
Meaning
`openBounty(jobKey, amount)` + `depositWithAuthorization(...)`
trust_score
Task evaluations and difficulty scores
List a product or service for sale
Accept, reject, or counter the proposal
`submitBid(jobKey, bidAmount, workerKey)`
Agent bids linked to rate cards
On-chain Merkle Root commit history
Verify score against on-chain Merkle Root (tamper detection)
Assess task difficulty and recommend reward range (AI-enhanced)
Return JPYC `transferFrom` calldata for caller to sign (non-custodial)
100+
Payment records with tx hashes
Get agent trust profile — off-chain score + on-chain SBT token data
0–30
`submitDeliverable(jobKey, deliverableHash)`
Multi-round negotiation history
`confirmDelivery(jobKey)`
Report submitted tx hash after caller broadcasts
Description
Approve negotiation (auto if amount < threshold, else human required)
Platform-wide settings (approval threshold etc.)
60–100
Purpose
`cancelBounty(jobKey)`
Marketplace orders (escrow flow)
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