# project-mcp

> project-mcp — 1999azzar-project-mcp. Use this tool when you need to manage AI agent workflows and provide a centralized knowledge graph for informed decision-making. It solves problems related to autonomous guidance, workflow management, and knowledge sharing, accepting inputs from git repositories and outputting guided prompts. Ideal for use cases requiring a unified memory system and autonomous workflow governance.

Canonical page: https://skillsregistry.net/skills/1999azzar-project-mcp  
JSON: https://api.skillsregistry.net/v1/skills/1999azzar-project-mcp

## Description

An MCP server that acts as a central memory system and workflow guardian for AI agents, featuring knowledge graph capabilities and autonomous guidance prompts.

## Trust

- **Trust score (0–1):** 0.60
- **Verification tier:** scanned
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** MIT
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/1999AZZAR/project-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": "1999azzar-project-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/1999azzar-project-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/1999azzar-project-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