# MCP Server

> Use this tool when you need to establish real-time communication with AI models, enabling seamless data exchange and extensible tooling. The MCP Server solves problems related to model integration, deployment, and management, supporting use cases such as model serving, monitoring, and testing. It accepts inputs via SSE and STDIO transport, providing outputs in a standardized format for easy consumption and further processing.

Canonical page: https://skillsregistry.net/skills/kattatzu-resources-mcp-server  
JSON: https://api.skillsregistry.net/v1/skills/kattatzu-resources-mcp-server

## Description

A robust server implementing the Model Context Protocol with SSE and STDIO transport, enabling real-time communication and extensible tooling for AI models.

## Trust

- **Trust score (0–1):** 0.93
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/t65oqll9js)
- **Repository:** <https://github.com/kattatzu-resources/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": "kattatzu-resources-mcp-server"
    }
  }
}
```

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