MCP-Demo
Allows querying local Ollama models (e.g., gemma3) as a tool, routing low-stakes work off the API and onto a homelab.
This server does not currently have a deployable release on Glama. Follow the repository's setup instructions to install and configure it for your MCP client, including any required credentials and local dependencies.
mcp-demo
A minimal Python MCP server, built in phases so each commit teaches one concept. End state: Claude Code can call local Ollama models (gemma3:4b / 3:12b) as a tool, routing low-stakes work off the API and onto the homelab.
What is MCP, really?
Model Context Protocol is a standardized JSON-RPC 2.0 protocol that lets an LLM client (Claude Code, Claude Desktop, Cursor) discover and invoke tools, fetch resources, and load prompt templates from separate processes called MCP servers. MCP is to LLM tooling what LSP is to IDE language support: one protocol, many interoperable implementations.
The moving pieces
┌───────────────────┐ stdio / HTTP ┌──────────────────┐
│ MCP Client │ ◄──JSON-RPC──► │ MCP Server │
│ (Claude Code) │ │ (this repo) │
└───────────────────┘ └──────────────────┘
│ │
│ spawns as child │ hits
│ process (stdio) │ localhost:11434
▼ ▼
your shell env Ollama / gemma3Client — embedded in the LLM app
Server — any process that speaks MCP
Transport —
stdio(client spawns server as child, pipes JSON-RPC) orstreamable-http(server is a web service). This repo uses stdio.
Three primitives an MCP server exposes
Primitive | What it is | This repo's use |
Tools | Functions the LLM can call |
|
Resources | Read-only blobs the client can fetch |
|
Prompts | Pre-canned prompt templates | (not used — kept minimal) |
Phase progression
Each phase is one commit — git log shows the evolution.
✅ scaffold — pyproject, README, .gitignore.
✅ hello-world server — one
echotool + smoke-test client. Proves the full lifecycle: client spawn → handshake → tool discovery → tool call.✅ ollama_ask tool — async tool that POSTs to
localhost:11434/api/generateand returns Gemma's reply.✅ polish — adds
systemparameter toollama_askand exposes a resource atollama://models(list of pulled models).
Install & run
python3 -m venv .venv
source .venv/bin/activate
pip install -e .
# Phase 2+ only: run the server by hand to smoke-test
python -m mcp_demo.serverThe server reads JSON-RPC off stdin and writes to stdout — if you run it directly in a terminal it will just sit there waiting for input. That's expected. The client (Claude Code) is what actually feeds it.
Registering with Claude Code
Add to ~/.claude/settings.json:
{
"mcpServers": {
"mcp-demo": {
"command": "/home/booty/mcp-demo/.venv/bin/python",
"args": ["-m", "mcp_demo.server"]
}
}
}Restart Claude Code. Tools appear as mcp__mcp-demo__<tool_name>.
Further reading
Python SDK: https://github.com/modelcontextprotocol/python-sdk
Inspector (a debug UI for poking at any MCP server):
npx @modelcontextprotocol/inspector
Tool Schema Changelog
Recent tool additions, removals, and schema changes observed during successful MCP inspections.
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