# AIOrc MCP Server

> AIOrc MCP Server — dich01-aiorc. Use this tool when you need to execute secure and verified agent workflows, ensuring controlled transitions and invocation limits. It solves problems related to workflow integrity, auditability, and security by providing server-verified execution and signed audit trails. Ideal for use cases requiring enforced workflow governance and compliance, with inputs including LLM client requests and outputs comprising verified workflow results and audit logs.

Canonical page: https://skillsregistry.net/skills/dich01-aiorc  
JSON: https://api.skillsregistry.net/v1/skills/dich01-aiorc

## Description

Enables MCP-compatible LLM clients to execute server-verified agent workflows, with enforced transitions, invocation caps, and signed audit trails.

## Trust

- **Trust score (0–1):** 0.03
- **Verification tier:** scanned
- **Last scanned:** 2026-08-29

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/jkgyt8adt0)
- **Repository:** <https://github.com/Dich01/aiorc>

## 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": "dich01-aiorc"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/dich01-aiorc` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/dich01-aiorc/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