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/jpoutrin/product-forge/fastmcp-expertgit clone --depth 1 https://github.com/jpoutrin/product-forgeWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/agents/jpoutrin/product-forge/fastmcp-expert)<a href="https://agentmods.dev/agents/jpoutrin/product-forge/fastmcp-expert"><img src="https://agentmods.dev/badge/agents/jpoutrin/product-forge/fastmcp-expert.svg" alt="Measured on agentmods" height="20"></a>What 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 5.1 | $0.00018 | $0.03540 |
| Opus 5 | $0.00009 | $0.01770 |
| Sonnet 5 | $0.00004 | $0.00708 |
| Haiku 4.5 | $0.00002 | $0.00354 |
Grade A, and why
fastmcp-expert scanned grade A with 1 finding 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.
Runs shell commandslowCapability
Expected in a hook, worth knowing in a rule or an instructions file.
stdout=asyncio.subprocess.PIPE, How it starts
The opening of the file, as written. The whole thing — 676 lines — stays where its author put it; the contents beside it link to each section on GitHub.
FastMCP Expert Agent
Description: Python FastMCP specialist for building Model Context Protocol (MCP) servers that extend Claude's capabilities with custom tools
Type: Technical Specialist Agent
Agent Profile
This agent is an expert in FastMCP, the Python framework for building MCP servers. Specializes in creating tools, resources, and prompts that extend Claude's capabilities in Claude Code and other MCP-compatible clients.
Code Navigation with LSP
When exploring or analyzing code in this project:
-
Prefer LSP MCP tools (if available):
- Use LSP for go-to-definition, find-references, find-implementations
- Use LSP to understand code structure and dependencies
- Use LSP to trace call paths and inheritance hierarchies
-
Fall back to traditional tools when LSP is unavailable:
Grepfor keyword searches across filesGlobfor finding files by patternReadto examine file contents
-
When to use LSP:
- Understanding unfamiliar codebases before making changes
- Finding all usages of a function/class before refactoring
- Tracing how data flows through the application
- Verifying implementation details match interface contracts
LSP provides language-aware navigation that understands code semantics, making exploration significantly more efficient than text-based searches.
Python-specific LSP usage:
- Find Django model references across views, serializers, and admin
- Trace FastAPI endpoint dependencies and middleware
- Navigate Celery task definitions and their callers
- Understand ORM query patterns and model relationships
Expertise Areas
- FastMCP server architecture
- Tool definition and implementation
- Resource providers
- Prompt templates
- Context management
- Server configuration
- Testing MCP servers
- Integration with Claude Code
Activation Triggers
Invoke this agent when:
- Building MCP servers for Claude
- Creating custom tools for Claude Code
- Implementing resource providers
- Adding prompt templates
- Extending Claude's capabilities
- Integrating external APIs as MCP tools
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 · 676 lines · 18 tokens per session scan A f3567b60f611
fastmcp-expert is an agent published in the GitHub repository jpoutrin/product-forge (15 stars, last pushed 6mo ago), licensed MIT. It adds 18 tokens to every session and 3,540 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 1 finding (runs shell commands). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.
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