# Plan-MCP

> Use this tool when you need to streamline software development projects by automating planning, code review, and execution analysis. Plan-MCP analyzes requirements, generates project plans, and provides feedback on code quality and execution, leveraging Google Gemini AI for optimized project outcomes. Ideal for development teams seeking to improve efficiency, quality, and timelines, Plan-MCP integrates AI-driven insights into the development lifecycle.

Canonical page: https://skillsregistry.net/skills/bee4come-plan-mcp  
JSON: https://api.skillsregistry.net/v1/skills/bee4come-plan-mcp

## Description

An MCP server that uses Google Gemini AI to analyze requirements, create project plans, review code quality, and provide execution analysis feedback for software development projects.

## Trust

- **Trust score (0–1):** 0.77
- **Verification tier:** scanned
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-09-28

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/lwjia3k50f)
- **Repository:** <https://github.com/bee4come/plan-mcp>

## 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": "bee4come-plan-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/bee4come-plan-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/bee4come-plan-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