# junai Pipeline MCP

> Use this tool when you need to streamline AI-driven development workflows by orchestrating complex pipelines. The junai Pipeline MCP solves problems related to workflow management, automation, and integration, taking in inputs such as workflow definitions and AI model outputs, and producing optimized pipeline executions. It is ideal for use cases requiring automated workflow management, such as continuous integration and deployment, data processing, and machine learning model training.

Canonical page: https://skillsregistry.net/skills/io-github-saajunaid-junai-mcp  
JSON: https://api.skillsregistry.net/v1/skills/io-github-saajunaid-junai-mcp

## Description

Agentic pipeline orchestration MCP server for AI-driven development workflows.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** unverified

## Facts

- **Version:** 0.1.1
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** devops-ci
- **Updated:** 2026-04-17

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/io.github.saajunaid%2Fjunai-mcp)
- **Repository:** <https://github.com/saajunaid/junai>

## 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": "io-github-saajunaid-junai-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/io-github-saajunaid-junai-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/io-github-saajunaid-junai-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