MCP Developer

Use when building, debugging, or extending MCP servers or clients that connect AI systems with external tools and data sources.

Development / Engineeringdevelopmentengineering
by AgentVoltv1.0.0Published 1y ago1 install
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Before & after

Same prompt, same agent — the only difference is the skill.

PromptBuild an MCP server that connects to our analytics platform for agent queries
Beforegeneric AI agent
Building an MCP server requires connecting tools to external data sources. You'll need to set up the server architecture, define tool handlers that the client can call, and establish the communication protocol. Consider what data your agents will need access to and design tools around those queries. You might use HTTP or stdio transport. Make sure to handle errors gracefully and validate input. Testing is important so your tools work reliably. Documentation helps users understand how to use your server.
Afterwith MCP Developer
MCP SERVER IMPLEMENTATION: ANALYTICS CONNECTOR

ARCHITECTURE
• Transport: stdio + optional HTTP
• SDK: TypeScript SDK
• Data source: Analytics platform API (env vars)

TOOL DEFINITIONS (3 tools)

Tool 1: query_events
Inputs: start_date (ISO8601), end_date, event_name, properties (object)
Output: Array of event objects with timestamp, user_id, event_name, properties
Validation: Zod schema enforces date format, property types

Tool 2: get_user_profile
Inputs: user_id (string)
Output: {user_id, created_at, total_events, last_active, custom_attributes}
Validation: User_id must be non-empty; return 404 if not found

Tool 3: list_funnels
Inputs: funnel_name, date_range (enum: 7d|30d|90d)
Output: {funnel_name, total_users, conversion_rate_by_step, avg_time_to_completion}
Validation: Funnel_name checked against approved list

SETUP STEPS
1. Install TypeScript SDK
2. Define Zod schemas for all inputs
3. Implement tool handlers (map inputs to API calls)
4. Set up error handling (rate limits, auth failures, timeouts)
5. Test with mock client
6. Deploy to stdio or HTTP endpoint

COMMON PITFALLS
• Rate limiting: Implement request deduplication and caching
• Auth expiry: Refresh tokens before expiration
• Timeout: Set 30-second handler timeout
• Schema drift: Version tool definitions; notify clients on changes

About this skill


name: mcp-developer description: Use when Use when building, debugging, or extending MCP servers or clients that connect AI systems with external tools and data sources.

Mcp Developer

Use when building, debugging, or extending MCP servers or clients that connect AI systems with external tools and data sources. Invoke to implement tool handlers, configure resource providers, set up stdio/HTTP/SSE transport layers, validate schemas with Zod or Pydantic, debug protocol compliance issues, or scaffold complete MCP server/client projects using TypeScript or Python SDKs.

What you get

  • Public GitHub repo
  • the skills/mcp-developer folder with SKILL.md and references.

Customize your output

  • Fork the repo and extend the skill's reference files for your own stack conventions.

Example output

Activates on a matching request (e.g. building or reviewing Mcp Developer code) and can chain with other skills in the pack.

Best for

Full-stack developers and engineering teams using Claude Code.

SKILL.md preview

SKILL.md
---
name: mcp-developer
description: Use this skill when building, debugging, or extending MCP servers or clients that connect AI systems with external tools and data sources.
version: 1.0.0
category: Development / Engineering
author: AgentVolt
license: proprietary
tags:
  - development
  - engineering
---

# Mcp Developer

Implements, debugs, and extends MCP servers and clients — tool handlers, resource providers, transport layers, and schema validation — using TypeScript or Python SDKs.

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