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dkyazzentwatwa/chatgpt-skills188 installs

mcp-builder

Plan and build MCP servers with agent-friendly tools, schemas, error handling, and evaluation. Use when creating or refactoring MCP integrations.

How do I install this agent skill?

npx skills add https://github.com/dkyazzentwatwa/chatgpt-skills --skill mcp-builder
view source ↗

Is this agent skill safe to install?

  • Gen Agent Trust Hubpass

    The mcp-builder skill is a developer toolkit for designing, implementing, and evaluating Model Context Protocol (MCP) servers. It includes connection scripts and a benchmarking harness. The analysis identified standard command execution for testing purposes and a potential surface for indirect prompt injection inherent in evaluation tools that process third-party server outputs.

  • Socketpass

    No alerts

  • Snykpass

    Risk: LOW · No issues

  • Runlayerwarn

    10/10 files flagged

  • ZeroLeakspass

    Score: 93/100 · 2 sections analyzed

What does this agent skill do?

MCP Builder

Build MCP servers around user workflows, not raw API endpoints.

Workflow

  1. Read the target API docs and identify the workflows an agent must complete end to end.
  2. Design a small tool surface with high-signal outputs, clear identifiers, and actionable errors.
  3. Implement shared infrastructure first: auth, request helpers, pagination, truncation, and formatting.
  4. Add tool schemas and docstrings that make correct usage obvious.
  5. Evaluate the server with realistic tasks before expanding scope.

Principles

  • Prefer workflow tools over thin endpoint wrappers.
  • Return concise, high-signal responses by default.
  • Use human-readable identifiers whenever possible.
  • Make error messages corrective: tell the agent what to try next.
  • Design for limited context and large datasets.

Resources

  • references/mcp_best_practices.md for design principles that apply to every server.
  • references/python_mcp_server.md for Python implementation patterns.
  • references/node_mcp_server.md for TypeScript implementation patterns.
  • scripts/connections.py and scripts/evaluation.py as repo-local helpers.

Deliverables

  • A concrete tool inventory tied to user workflows.
  • Strict input/output schemas.
  • Evaluation prompts or scripts that confirm the server is usable by an agent.

Add the canonical catalog link to the repository README so users can inspect current installs and available audits. The publishing guide covers the complete discovery path.

<a href="https://skillzs.dev/skills/dkyazzentwatwa/chatgpt-skills/mcp-builder">View mcp-builder on skillZs</a>