junai Pipeline MCP

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

What does this entry provide?

junai Pipeline MCP is an MCP server entry in ChatHome Skills, sourced from Official MCP Registry and scored 64/100. As a Model Context Protocol server, it exposes tools that MCP-compatible LLM clients such as Claude, Cursor, and Copilot can call directly, extending an agent's reach beyond its built-in capabilities. ChatHome Skills discovered this entry through its daily ingest of official registries and GitHub discovery queries, and re-verifies repository facts, freshness signals, and install metadata on every run. The quality score weighs official-registry presence, a working install command, license clarity, GitHub star trajectory, and repository freshness — the full formula is on the Sources page. The install command above is ready to copy. Review the last-pushed date and repository status before adding junai Pipeline MCP to a production agent workflow; the snapshot facts below are point-in-time values from the most recent ingest.

Snapshot facts

Source: Official MCP Registry
Quality: 64/100
Install method: pypi
Repo: saajunaid/junai
Repo updated: Feb 22, 2026

Install command

uvx junai-mcp==0.1.1

Install method: pypi

Review the upstream source before running this command.

GitHub project

Quality

Repo stars

Repo updated

Feb 22, 2026

How is this score calculated?

Weighted across six dimensions, scored 0-100.
Provenance (25): listed in an official or curated registry.
Installability (25): a runnable install command beats a declared transport, which beats a source checkout.
Maintenance (20): recency of the last push; archived entries score zero here.
Adoption (20): repository stars on a log curve.

MCP manifest

{
  "_meta": {
    "io.modelcontextprotocol.registry/official": {
      "status": "active",
      "isLatest": true,
      "updatedAt": "2026-02-22T11:13:00.188397Z",
      "publishedAt": "2026-02-22T11:13:00.188397Z",
      "statusChangedAt": "2026-02-22T11:13:00.188397Z"
    }
  },
  "server": {
    "name": "io.github.saajunaid/junai-mcp",
    "title": "junai Pipeline MCP",
    "$schema": "https://static.modelcontextprotocol.io/schemas/2025-12-11/server.schema.json",
    "version": "0.1.1",
    "packages": [
      {
        "version": "0.1.1",
        "transport": {
          "type": "stdio"
        },
        "identifier": "junai-mcp",
        "registryType": "pypi",
        "environmentVariables": [
          {
            "name": "PIPELINE_STATE_PATH",
            "format": "string",
            "description": "Path to pipeline-state.json. Defaults to .github/pipeline-state.json relative to the workspace root (detected by searching upward from the current directory for a .github folder)."
          },
          {
            "name": "JUNAI_WORKSPACE_ROOT",
            "format": "string",
            "description": "Explicit workspace root path override. Use if automatic detection (searching upward for .github) does not find the correct root."
          }
        ]
      }
    ],
    "repository": {
      "url": "https://github.com/saajunaid/junai",
      "source": "github"
    },
    "description": "Agentic pipeline orchestration MCP server for AI-driven development workflows."
  }
}

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