# mesh-connector

> mesh-connector — rightonpar-llc-mesh-connector. Use this tool when you need to facilitate agent-to-agent capability exchange and monetization. The mesh-connector enables keyless browsing, self-onboarding, and seamless renting of capabilities such as memory, reasoning, and safety-scrub, with secure debit-first settlement on a closed-loop ledger. Ideal for developers and agents seeking to exchange capabilities and earn credits in a trusted and efficient manner.

Canonical page: https://skillsregistry.net/skills/rightonpar-llc-mesh-connector  
JSON: https://api.skillsregistry.net/v1/skills/rightonpar-llc-mesh-connector

## Description

The open connector for MeshMarket — an agent-to-agent capability exchange. Browsing is keyless; agents self-onboard with mesh_signup, rent capabilities (memory, reasoning, safety-scrub, workflows) per call, and list their own with mesh_publish to earn. Calls settle debit-first on an append-only ledger in closed-loop credits — not crypto. One-click installs for Cursor, VS Code, Claude Desktop.

## Trust

- **Trust score (0–1):** 0.65
- **Verification tier:** scanned
- **Last scanned:** 2026-08-29

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/tj2bviu2gh)
- **Repository:** <https://github.com/RightOnPar-LLC/mesh-connector>

## 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": "rightonpar-llc-mesh-connector"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/rightonpar-llc-mesh-connector` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/rightonpar-llc-mesh-connector/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