# MCP Reasoning Engine

> Use this tool when you need to perform structured analysis across legal, health, and science domains, integrating knowledge retrieval and schema validation to inform decision-making. The MCP Reasoning Engine solves problems related to domain-specific rubric evaluation and knowledge-based reasoning through its RESTful API interface, accepting input queries and returning analyzed results. It is ideal for applications requiring specialized knowledge integration and validation, such as legal research or medical diagnosis support.

Canonical page: https://skillsregistry.net/skills/arslanmanzoorr-mcp  
JSON: https://api.skillsregistry.net/v1/skills/arslanmanzoorr-mcp

## Description

A production-ready reasoning engine that integrates Claude AI with specialized MCP tools for knowledge retrieval, schema validation, and domain-specific rubric evaluation. It enables structured RAG-based analysis across legal, health, and science domains via a RESTful API.

## Trust

- **Trust score (0–1):** 0.68
- **Verification tier:** scanned
- **Last scanned:** 2026-09-02

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-09-02

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/qqdrqmc8xd)
- **Repository:** <https://github.com/arslanmanzoorr/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": "arslanmanzoorr-mcp"
    }
  }
}
```

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