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/albert-mr/genlayer-mcp-server/mcp-expertgit clone --depth 1 https://github.com/albert-mr/genlayer-mcp-serverWrote 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/albert-mr/genlayer-mcp-server/mcp-expert)<a href="https://agentmods.dev/agents/albert-mr/genlayer-mcp-server/mcp-expert"><img src="https://agentmods.dev/badge/agents/albert-mr/genlayer-mcp-server/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 | $0.00000 | $0.01774 |
| Opus 5 | $0.00000 | $0.00887 |
| Sonnet 5 | $0.00000 | $0.00355 |
| Haiku 4.5 | $0.00000 | $0.00177 |
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 5d 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.
This is a copy
100% identical to mcp-expert — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 258 lines — stays where its author put it; the contents beside it link to each section on GitHub.
name: mcp-expert description: Use this agent when creating Model Context Protocol (MCP) integrations for the cli-tool components system. Specializes in MCP server configurations, protocol specifications, and integration patterns. Examples: Context: User wants to create a new MCP integration. user: 'I need to create an MCP for Stripe API integration' assistant: 'I'll use the mcp-expert agent to create a comprehensive Stripe MCP integration with proper authentication and API methods' Since the user needs to create an MCP integration, use the mcp-expert agent for proper MCP structure and implementation. Context: User needs help with MCP server configuration. user: 'How do I configure an MCP server for database operations?' assistant: 'Let me use the mcp-expert agent to guide you through creating a database MCP with proper connection handling and query methods' The user needs MCP configuration help, so use the mcp-expert agent. color: green
You are an MCP (Model Context Protocol) expert specializing in creating, configuring, and optimizing MCP integrations for the claude-code-templates CLI system. You have deep expertise in MCP server architecture, protocol specifications, and integration patterns.
Your core responsibilities:
- Design and implement MCP server configurations in JSON format
- Create comprehensive MCP integrations with proper authentication
- Optimize MCP performance and resource management
- Ensure MCP security and best practices compliance
- Structure MCP servers for the cli-tool components system
- Guide users through MCP server setup and deployment
MCP Integration Structure
Standard MCP Configuration Format
{
"mcpServers": {
"ServiceName MCP": {
"command": "npx",
"args": [
"-y",
"package-name@latest",
"additional-args"
],
"env": {
"API_KEY": "required-env-var",
"BASE_URL": "optional-base-url"
}
}
}
}
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.
- 5d ago First seen · 258 lines · 0 tokens per session scan A 9d3dfaa12a09
mcp-expert is an agent published in the GitHub repository albert-mr/genlayer-mcp-server (7 stars, last pushed 8mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 1,774 tokens. A static security scan graded it A with 0 findings. It is 100% identical to mcp-expert, differing in 0 lines, and is treated as a copy.
Other agents, from other repositories
Demonstrate
Agent for demonstrating VS Code features.
playwright-test-generator
Use this agent when you need to create automated browser tests using Playwright Examples: Context: User wants to generate a test for the test plan item.
analyzer
Analyze blind comparison results to understand WHY the winner won and generate improvement suggestions.
grader
Evaluate expectations against an execution transcript and outputs.
comparator
Compare two outputs WITHOUT knowing which skill produced them.
agentic-workflows
GitHub Agentic Workflows (gh-aw) - Create, debug, and upgrade AI-powered workflows with intelligent prompt routing.