# Project Sentry

> Project Sentry — nmorrisroe-6578-manh-rest-mcp. Use this tool when you need to automate API testing with stateful interactions, converting Postman collections into executable MCP tools. It solves problems of manual testing and authentication management, providing automatic authentication and session-based state management. With input of Postman collections and output of executable MCP tools, use Project Sentry in QA automation contexts where transparent error handling and efficient testing are crucial.

Canonical page: https://skillsregistry.net/skills/nmorrisroe-6578-manh-rest-mcp  
JSON: https://api.skillsregistry.net/v1/skills/nmorrisroe-6578-manh-rest-mcp

## Description

An intelligent MCP server for QA automation that enables AI agents to perform stateful API testing by converting Postman collections into MCP tools, with automatic authentication, session-based state management, and transparent error handling.

## Trust

- **Trust score (0–1):** 0.66
- **Verification tier:** scanned
- **Last scanned:** 2026-08-29

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-08-29

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/aybk5fgi9a)
- **Repository:** <https://github.com/nmorrisroe-6578/manh_rest_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": "nmorrisroe-6578-manh-rest-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/nmorrisroe-6578-manh-rest-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/nmorrisroe-6578-manh-rest-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