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.
git 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/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<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="Reviewed on agentmods" width="80" 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 | $0.00029 | $0.01234 |
| Opus 5.5 | $0.00012 | $0.00494 |
| Sonnet 5.5 | $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 1mo 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.
- 1mo 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 (16 stars, last pushed 7mo ago), licensed MIT. It adds 29 tokens to every session and 1,234 once invoked, about $0.0001 per session on Opus 5.5. 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.
Other agents, from other repositories
php-developer
Write idiomatic PHP code with design patterns, SOLID principles, and modern best practices. Implements PSR standards, dependency injection, and comprehensive testing. Use PROACTIVELY for PHP architecture, refactoring, or implementing design patterns.
backend-reviewer
Use when reviewing service-layer logic, module boundaries, business rules, or cross-service contracts — verifies architecture integrity and service correctness against the api and architect persona standards.
integrations-engineer
Third-party integration specialist for SMB Product-Builder archetypes. Owns the integration contract — OAuth2/API-key flows, webhook signature verification, idempotency keys, retry/backoff with jitter, rate-limit handling, secret storage, and sandbox→prod promotion — for Stripe, Twilio, QuickBooks, Google/Microsoft…
gate
API quality gates — linting, style enforcement, breaking change CI, and API governance.
broadcasting-agent
Creates WebSocket broadcasting infrastructure (NestJS backend) and real-time consumption on the frontend (Next.js or React). Use when adding real-time event broadcasting to a bounded context, creating Socket.IO gateways, or implementing frontend event listeners. Dispatched after infrastructure layer is complete.
dotnet-architecture-reviewer
Reviews a .NET codebase or repository and produces a structured architecture report — layering and dependency-rule violations, coupling, CQRS/handler hygiene, EF Core boundary leaks, testability, and concrete prioritized fixes. Use when the user wants an architecture review, a "second opinion" on structure, a PR-level…