# proofmarket-mcp

> proofmarket-mcp — zhekinmaksim-proofmarket-mcp. Use this tool when you need to automate proof verification and workflow composition without human intervention, as it exposes a machine-callable interface for submitting proof requests and monitoring market state. It solves problems related to decentralized coordination and automated workflow management, enabling agents to compare coordination regimes and optimize multi-step workflows. Ideal for use cases requiring autonomous decision-making and efficient proof verification in decentralized systems.

Canonical page: https://skillsregistry.net/skills/zhekinmaksim-proofmarket-mcp  
JSON: https://api.skillsregistry.net/v1/skills/zhekinmaksim-proofmarket-mcp

## Description

Exposes a machine-callable proof-market surface for agents to submit proof requests, monitor market state, compare coordination regimes, and compose multi-step workflows with no human in the loop.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-08-29

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** monitoring
- **Updated:** 2026-08-29

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/oz6ow2jij7)
- **Repository:** <https://github.com/Zhekinmaksim/proofmarket-mcp>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "zhekinmaksim-proofmarket-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/zhekinmaksim-proofmarket-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/zhekinmaksim-proofmarket-mcp/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt