# Project Guardian MCP

> Use this tool when you need to manage complex project workflows and track entities with precision, leveraging a knowledge graph and SQLite database to provide persistent context for AI models. It solves problems of project scope creep, entity disambiguation, and workflow inefficiencies by providing 17 specialized tools and 27 pre-built prompts. Ideal for use cases requiring intelligent project tracking, automated workflow management, and seamless knowledge retrieval.

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

## Description

A focused project memory system that provides knowledge graph capabilities and SQLite database operations for intelligent entity tracking and workflow management. It enables AI models to maintain persistent project context through 17 specialized tools, 10 resources, and 27 pre-built prompts.

## Trust

- **Trust score (0–1):** 0.64
- **Verification tier:** scanned
- **Last scanned:** 2026-09-19

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/sfjvunwsbx)
- **Repository:** <https://github.com/1999AZZAR/project-guardian-mcp-server>

## 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-guardian-mcp-server"
    }
  }
}
```

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

---
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