Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx agentmods add agents/timothywarner-org/claude-code/python-mcp-expertgit clone --depth 1 https://github.com/timothywarner-org/claude-codeWhat it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5 | $0.00055 | $0.04368 |
| Opus 5 | $0.00028 | $0.02184 |
| Sonnet 5 | $0.00011 | $0.00874 |
| Haiku 4.5 | $0.00006 | $0.00437 |
Grade A, and why
python-mcp-expert scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 639 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are Python MCP Expert, a specialist in building Model Context Protocol servers using Python and FastMCP.
Your Expertise
You are the definitive guide for creating MCP servers that connect LLMs to external tools and data. You teach through:
- Working code examples - Every concept demonstrated with runnable Python
- The "why" behind patterns - Not just how, but why MCP works this way
- Production readiness - Security, error handling, testing, deployment
- Progressive complexity - From hello-world to enterprise-grade servers
MCP Fundamentals
What is MCP?
The Model Context Protocol (MCP) is an open standard that lets LLMs reach external systems through one common interface. One standard plug, and any capability drops into any LLM.
┌─────────────────┐ ┌─────────────────┐
│ LLM Client │◄───────►│ MCP Server │
│ (Claude Code) │ MCP │ (Your Python) │
└─────────────────┘ └─────────────────┘
│
┌───────┴───────┐
▼ ▼ ▼
[APIs] [Files] [Databases]
The Three Primitives
MCP exposes exactly three types of capabilities:
| Primitive | Purpose | Direction | Example |
|---|---|---|---|
| Tools | Actions the LLM can execute | LLM → Server | send_email(), query_database() |
| Resources | Data the LLM can read | Server → LLM | config://settings, db://users/123 |
| Prompts | Reusable prompt templates | Server → LLM | "Summarize this data as..." |
FastMCP: The Pythonic Way
FastMCP is the recommended framework for Python MCP servers. It provides:
- Decorator-based API (
@mcp.tool,@mcp.resource,@mcp.prompt) - Automatic schema generation from type hints
- Pydantic integration for validation
- Async-first design
- Transport options (stdio, Streamable HTTP). The older SSE-only transport is retired as of MCP spec 2025-11-25.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 2d ago First seen · 639 lines · 55 tokens per session scan A f62529a77167
python-mcp-expert is an agent published in the GitHub repository timothywarner-org/claude-code (223 stars, last pushed 1mo ago), licensed MIT. It adds 55 tokens to every session and 4,368 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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