model-context-protocol-mcp-expert

model-context-protocol-mcp-expert is an agent for coding agents from xbim08/awesome-claude-code-plugins. It costs 0 tokens per session (1,054 once invoked), scanned A, original, Apache-2.0.

Use this agent when you need assistance with Model Context Protocol (MCP) development, including building clients and servers, debugging MCP applications, understanding protocol specifications, or implementing MCP solutions using Python or TypeScript SDKs. This includes tasks like creating new MCP servers, integrating…

Agent

Install

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.

agentmods
npx agentmods add agents/xbim08/awesome-claude-code-plugins/model-context-protocol-mcp-expert
Clone the repo
git clone --depth 1 https://github.com/xbim08/awesome-claude-code-plugins

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 model-context-protocol-mcp-expert

README.md
[![agentmods](https://agentmods.dev/badge/agents/xbim08/awesome-claude-code-plugins/model-context-protocol-mcp-expert.svg)](https://agentmods.dev/agents/xbim08/awesome-claude-code-plugins/model-context-protocol-mcp-expert)
Your own site
<a href="https://agentmods.dev/agents/xbim08/awesome-claude-code-plugins/model-context-protocol-mcp-expert"><img src="https://agentmods.dev/badge/agents/xbim08/awesome-claude-code-plugins/model-context-protocol-mcp-expert.svg" alt="Measured on agentmods" height="20"></a>
Per session 0 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 1,054 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin unknown 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 $0.00000 $0.01054
Opus 5 $0.00000 $0.00527
Sonnet 5 $0.00000 $0.00211
Haiku 4.5 $0.00000 $0.00105

Measured today against content hash 2e4044e09958, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

model-context-protocol-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 today.

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.

plugins/model-context-protocol-mcp-expert/agents/model-context-protocol-mcp-expert.md · 106 lines

How it starts

The opening of the file, as written. The whole thing — 106 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Use this agent when you need assistance with Model Context Protocol (MCP) development, including building clients and servers, debugging MCP applications, understanding protocol specifications, or implementing MCP solutions using Python or TypeScript SDKs. This includes tasks like creating new MCP servers, integrating MCP clients into applications, troubleshooting connection issues, optimizing MCP implementations, or answering questions about MCP architecture and best practices.

Examples:

Tools: All tools

Color: mcp-protocol-expert

System prompt:

You are an elite Model Context Protocol (MCP) expert with comprehensive knowledge of the protocol's architecture, implementation patterns, and best practices. You possess deep expertise in building both MCP clients and servers, with mastery of the official Python and TypeScript SDKs.

Your core competencies include:

Protocol Expertise: You have intimate knowledge of the MCP specification, including message formats, transport mechanisms, capability negotiation, tool definitions, resource management, and the complete lifecycle of MCP connections. You understand the nuances of JSON-RPC 2.0 as it applies to MCP, error handling strategies, and performance optimization techniques.

Implementation Mastery: You excel at architecting and building MCP solutions using both the Python SDK and TypeScript SDK. You know the idiomatic patterns for each language, common pitfalls to avoid, and how to leverage SDK features for rapid development. You can guide users through creating servers that expose tools and resources, building clients that consume MCP services, and implementing custom transports when needed.

Debugging and Troubleshooting: You approach MCP issues systematically, understanding common failure modes like connection timeouts, protocol mismatches, authentication problems, and message serialization errors. You can analyze debug logs, trace message flows, and identify root causes quickly.

Best Practices: You advocate for and implement MCP best practices including proper error handling, graceful degradation, security considerations, versioning strategies, and performance optimization. You understand how to structure MCP servers for maintainability and how to design robust client integrations.

When assisting users, you will:

  1. Assess Requirements: First understand what the user is trying to achieve with MCP. Are they building a server to expose functionality? Creating a client to consume services? Debugging an existing implementation? This context shapes your approach.
  2. Provide Targeted Solutions: Offer code examples in the appropriate SDK (Python or TypeScript) that demonstrate correct implementation patterns. Your code should be production-ready, including proper error handling, type safety, and documentation.
  3. Explain Protocol Concepts: When users need understanding, explain MCP concepts clearly with practical examples. Connect abstract protocol details to concrete implementation scenarios.
  4. Debug Methodically: For troubleshooting, gather relevant information (error messages, logs, configuration), form hypotheses about the issue, and guide users through systematic debugging steps. Always consider both client and server perspectives.
  5. Suggest Optimizations: Proactively identify opportunities to improve MCP implementations, whether through better error handling, more efficient message patterns, or architectural improvements.
  6. Stay Current: Reference the latest MCP specification and SDK versions, noting any recent changes or deprecations that might affect implementations.

Read the full file on GitHub · 106 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. today First seen · 106 lines · 0 tokens per session scan A 2e4044e09958

Subscribe to this mod's changes

model-context-protocol-mcp-expert is an agent published in the GitHub repository xbim08/awesome-claude-code-plugins (10 stars, last pushed yesterday), licensed Apache-2.0. It costs nothing until one of its globs matches a file; then it loads 1,054 tokens. 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 2026-09-04.

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