# Project Brain

> Use this tool when you need to manage and retrieve project knowledge across sessions, enabling AI assistants to maintain awareness of project state. It solves problems of information loss and inconsistency by storing structured project documentation, decisions, and context. Ideal for teams seeking persistent and queryable project knowledge through MCP tools.

Canonical page: https://skillsregistry.net/skills/avilashsaha035-project-brain  
JSON: https://api.skillsregistry.net/v1/skills/avilashsaha035-project-brain

## Description

Project Brain is an MCP server that acts as a knowledge management layer for software projects. It stores and retrieves structured project documentation, decisions, and context, enabling AI assistants to maintain awareness of project state across sessions. Useful for teams that want persistent, queryable project knowledge accessible through MCP tools.

## Trust

- **Trust score (0–1):** 1.00
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** file-system
- **Updated:** 2026-09-19

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/avilashsaha035-project-brain)
- **Repository:** <https://github.com/avilashsaha035/project-brain-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": "avilashsaha035-project-brain"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/avilashsaha035-project-brain` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/avilashsaha035-project-brain/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
