# ProjectBrain

> Use this tool when you need to enhance AI coding agents with project cognition capabilities, such as context understanding and impact analysis. ProjectBrain solves problems related to code review and project insight, providing inputs through stdio communication and outputs including git diff reviews. It is ideal for use cases where local MCP servers are required to support AI-driven coding workflows.

Canonical page: https://skillsregistry.net/skills/yinshaojun001-projectbrain  
JSON: https://api.skillsregistry.net/v1/skills/yinshaojun001-projectbrain

## Description

Local MCP server providing project cognition capabilities for AI coding agents, including context packs, impact analysis, and git diff review through stdio communication.

## Trust

- **Trust score (0–1):** 0.65
- **Verification tier:** scanned
- **Last scanned:** 2026-09-03

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** version-control
- **Updated:** 2026-09-03

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/es6wslgiab)
- **Repository:** <https://github.com/yinshaojun001/projectbrain>

## 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": "yinshaojun001-projectbrain"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/yinshaojun001-projectbrain` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/yinshaojun001-projectbrain/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