# openmesha-mcp

> openmesha-mcp — anamized-openmesha. Use this tool when you need to manage and orchestrate autonomous agents, budgets, and multi-agent workflows within a complex system. It enables MCP clients to oversee and control various components, solving problems related to agent coordination and workflow optimization. Ideal for use cases requiring autonomous agent management, budget allocation, and workflow orchestration within the OpenMesha ecosystem.

Canonical page: https://skillsregistry.net/skills/anamized-openmesha  
JSON: https://api.skillsregistry.net/v1/skills/anamized-openmesha

## Description

Enables MCP clients to manage and orchestrate autonomous agents, budgets, and multi-agent workflows within the OpenMesha agentic operating system.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-09-04

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-09-04

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/wsxeesa887)
- **Repository:** <https://github.com/ANAMIZED/OpenMesha>

## 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": "anamized-openmesha"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/anamized-openmesha` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/anamized-openmesha/pull`

---
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