# MCP Minimal Agent Demo Server

> MCP Minimal Agent Demo Server — synaptechlabs-mcp-minimal-agent. Use this tool when you need to demonstrate the Model Context Protocol (MCP) for integrating tools with Large Language Model (LLM) agents, providing a simple server with three tools for testing tool discovery and invocation. It solves problems related to LLM agent harness integration, tool discovery, and invocation, and accepts input requests for GitHub activity, site content, and contacting a person. It is ideal for use cases requiring a minimal demo server for MCP testing and development.

Canonical page: https://skillsregistry.net/skills/synaptechlabs-mcp-minimal-agent  
JSON: https://api.skillsregistry.net/v1/skills/synaptechlabs-mcp-minimal-agent

## Description

A demo MCP server exposing three simple tools (get_github_activity, get_site_content, contact_scott) to illustrate tool discovery and invocation within an LLM agent harness using the Model Context Protocol.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-09-03

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** version-control
- **Updated:** 2026-09-03

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/pch7s34qbx)
- **Repository:** <https://github.com/Synaptechlabs/mcp-minimal-agent>

## 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": "synaptechlabs-mcp-minimal-agent"
    }
  }
}
```

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