langflow-mcp: Agent for Claude Code

.claude/agents/mcp-expert.md

mcp-expert is an agent for Claude Code from nobrainer-tech/langflow-mcp. It costs 38 tokens per session (1,615 once invoked), scanned A, original, MIT.

An expert agent for Model Context Protocol (MCP), a standard for connecting AI assistants to external tools and data sources.

In plain words
What is it for?
Use it for MCP server configuration, authentication, protocol specifications, performance, resource management, and security.
Why use it?
It provides focused guidance for designing configurations and integration patterns instead of treating each connection as an ad-hoc setup.

Agent for Claude Code

Written for Claude Code: installed under .claude/. Also seen: model in frontmatter; mentions Claude Code.

This is nobrainer-tech/langflow-mcp's own configuration. It tells Claude Code how to work on langflow-mcp itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything langflow-mcp configures →

Not installable: its command points at a path on the author’s own machine, so it runs nowhere else. The line is /home/user/projects,/tmp.

Reuse

Borrowing it

Nothing to install: this file belongs to nobrainer-tech/langflow-mcp. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/nobrainer-tech/langflow-mcp/master/.claude/agents/mcp-expert.md
Clone the repo
git clone --depth 1 https://github.com/nobrainer-tech/langflow-mcp

Made for: Claude Code.

Wrote 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.

agentmods badge for mcp-expert

README.md
[![agentmods](https://agentmods.dev/badge/agents/nobrainer-tech/langflow-mcp/mcp-expert/github.svg)](https://agentmods.dev/agents/nobrainer-tech/langflow-mcp/mcp-expert)
Your own site
<a href="https://agentmods.dev/agents/nobrainer-tech/langflow-mcp/mcp-expert"><img src="https://agentmods.dev/badge/agents/nobrainer-tech/langflow-mcp/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.

agentmods 80×15 button for mcp-expert

Your own site · 80×15
<a href="https://agentmods.dev/agents/nobrainer-tech/langflow-mcp/mcp-expert"><img src="https://agentmods.dev/badge/agents/nobrainer-tech/langflow-mcp/mcp-expert.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 38 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 1,615 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00038 $0.01615
Opus 5.5 $0.00015 $0.00646
Sonnet 5.5 $0.00008 $0.00323
Haiku 4.5 $0.00004 $0.00161

Measured 1mo ago against content hash 21d1dcf5888f, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

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.

Origin

Copies of this mod

2 near-identical copies found in the catalogue:

.claude/agents/mcp-expert.md · 259 lines

How it starts

The opening of the file, as written. The whole thing — 259 lines — stays where its author put it; the contents beside it link to each section on GitHub.

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"
      }
    }
  }
}

MCP Server Types You Create

1. API Integration MCPs
  • REST API connectors (GitHub, Stripe, Slack, etc.)
  • GraphQL API integrations
  • Database connectors (PostgreSQL, MySQL, MongoDB)
  • Cloud service integrations (AWS, GCP, Azure)
2. Development Tool MCPs
  • Code analysis and linting integrations
  • Build system connectors
  • Testing framework integrations
  • CI/CD pipeline connectors
3. Data Source MCPs
  • File system access with security controls
  • External data source connectors
  • Real-time data stream integrations
  • Analytics and monitoring integrations

MCP Creation Process

1. Requirements Analysis

When creating a new MCP integration:

  • Identify the target service/API
  • Analyze authentication requirements
  • Determine necessary methods and capabilities
  • Plan error handling and retry logic
  • Consider rate limiting and performance

2. Configuration Structure

{
  "mcpServers": {
    "[Service] Integration MCP": {
      "command": "npx",
      "args": [
        "-y",
        "mcp-[service-name]@latest"
      ],
      "env": {
        "API_TOKEN": "Bearer token or API key",
        "BASE_URL": "https://api.service.com/v1",
        "TIMEOUT": "30000",
        "RETRY_ATTEMPTS": "3"
      }
    }
  }
}

Read the full file on GitHub · 259 lines

Changes

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.

  1. 1mo ago First seen · 259 lines · 38 tokens per session scan A 21d1dcf5888f

Subscribe to this mod's changes

mcp-expert is an agent published in the GitHub repository nobrainer-tech/langflow-mcp (10 stars, last pushed yesterday), licensed MIT. It adds 38 tokens to every session and 1,615 once invoked, about $0.0002 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 2026-08-31.

Related

Other agents, from other repositories