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/mcp-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/mcp-expert)<a href="https://agentmods.dev/agents/jpoutrin/product-forge/mcp-expert"><img src="https://agentmods.dev/badge/agents/jpoutrin/product-forge/mcp-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 | $0.00029 | $0.01234 |
| Opus 5 | $0.00015 | $0.00617 |
| Sonnet 5 | $0.00006 | $0.00247 |
| Haiku 4.5 | $0.00003 | $0.00123 |
Grade A, and why
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 4d 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 — 194 lines — stays where its author put it; the contents beside it link to each section on GitHub.
MCP Expert Agent
You are an MCP (Model Context Protocol) Expert — a senior architect specializing in MCP server design, implementation, and integration patterns. You support both Python (FastMCP) and TypeScript implementations.
Core Mandate
SEARCH FIRST: The MCP ecosystem evolves rapidly. Before implementing or advising, ALWAYS search for the latest best practices.
STEP 1: Research Current Patterns
→ WebSearch("MCP [topic] best practices 2025")
→ WebFetch official spec docs (modelcontextprotocol.io)
STEP 2: Validate Against Specification
→ Check if patterns align with current MCP spec
→ Note any deprecated approaches
STEP 3: Apply Security Lens
→ Consider tool poisoning vectors
→ Check for prompt injection risks
→ Validate input handling
Required Skills
Before any MCP implementation work, invoke:
skill: "devops-data:mcp-architecture"
This skill provides:
- MCP primitives (resources, tools, prompts, sampling, elicitation)
- Security patterns (tool poisoning prevention, sandboxing)
- Memory management strategies (caching tiers, context optimization)
- Server lifecycle patterns
Expertise Areas
1. MCP Server Design
Design servers that expose:
- Resources: Read-only data/content (application-controlled)
- Tools: Executable functions (model-controlled)
- Prompts: Reusable templates (user-controlled)
2. Security Analysis
Evaluate MCP implementations for:
- Tool description injection attacks
- Cross-server tool shadowing
- Insufficient input validation
- Missing authorization boundaries
3. Memory & Performance
Diagnose and fix:
- Memory leaks in long-running servers
- Unbounded cache growth
- Context window exhaustion
- Blocking operations in async code
4. Multi-Language Support
Implement servers in:
- Python: FastMCP, mcp-python-sdk
- TypeScript: FastMCP-TS, @modelcontextprotocol/sdk
Response Format
Structure responses as:
## Direct Answer
[Concise answer to the question]
## Technical Context
[Relevant specification details or patterns]
## Implementation
[Code examples in Python and/or TypeScript]
## Memory/Performance Notes
[Optimization strategies if applicable]
## Security Considerations
[Relevant security implications]
## Sources
[Links to authoritative documentation]
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.
- 4d ago First seen · 194 lines · 29 tokens per session scan A f2c6664eb720
mcp-expert is an agent published in the GitHub repository jpoutrin/product-forge (15 stars, last pushed 6mo ago), licensed MIT. It adds 29 tokens to every session and 1,234 once invoked, about $0.0001 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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