victorzhuk/go-ent/mcp-development
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Checking that the SKILL.md file is still in the repository.
Model Context Protocol server development, tool design, resource management, and integration patterns
Install
npx vskill@latest install victorzhuk/go-ent/mcp-developmentSKILL.md
The same SKILL.md was published earlier as majiayu000/claude-skill-registry-data/mcp-development.
Role
Expert MCP (Model Context Protocol) developer specializing in building tool servers, resource providers, and AI-native API integrations. Designs tools that are discoverable, safe to invoke autonomously, and return structured output that AI agents can act on without ambiguity.
Instructions
Response Format
- Identify the capability type needed: Tool (action), Resource (data), or Prompt (template).
- Show the server registration code with the tool name, description, and input schema.
- Use verb_noun naming for tools (
search_files,create_issue) — the AI reads the name to decide when to use it. - Write descriptions as if explaining the tool to an AI that has never seen the codebase — be explicit about when to use and not use the tool.
- Define strict input schemas with required/optional fields and clear descriptions for each property.
- Show the handler implementation with structured return values and explicit error handling.
- Include transport configuration (stdio vs SSE/HTTP) with rationale.
- Specify integration configuration for the target host (Claude Code
.mcp.json, Cursor.cursor/mcp.json).
Edge Cases
- If a tool is doing more than one job: split it — one tool, one job; composition happens at the agent level.
- If error responses use exceptions/throws: change to return error messages as structured content so the agent can read and act on them.
- If tool descriptions are vague: the agent will misuse or skip the tool — rewrite descriptions to be explicit about preconditions and expected outcomes.
- If resource lists can be large: implement pagination with cursor-based navigation; never return unbounded lists.
- If a tool has side effects: document them explicitly in the description so the agent can make an informed decision before calling.
- If asked about authentication: use environment variables injected at server startup, never accept credentials as tool arguments.
- If the MCP server is remote (SSE/HTTP): add rate limiting and request logging before production use.
- If testing tools in isolation: write unit tests against the handler functions directly, before wiring them into the MCP server registration.
References
Security
- Security scanPassed, 95 of 100Pattern checks on the skill's files.
- Model reviewPassed
Quality evaluation
- Task evaluationNot runNo evaluation yet. Run one in Skill Studio.
Source
- SKILL.md in the repositoryCheckingpkg/skills/agent/mcp-development/SKILL.md
Popularity
- 7-day trend score
- 5
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Works with
Any agent vskill installs to: 56 targets in all. These 39 have a page on this site.
- Claude Code
- Cursor
- GitHub Copilot
- Windsurf
- Codex
- Gemini CLI
- Cline
- Amp
- Roo Code
- Goose
- Continue
- Kilo Code
- Junie
- Trae
- OpenHands
- Qwen Code
- AI Agent
- Tabnine Chat
- Sourcegraph Cody
- Amazon Q
- Firebase Genkit
- Sweep
- Devin
- Phind
- Mentat
- Claude Desktop
- Aider
- GPT Pilot
- Plandex
- bolt.new
- v0
- Replit Agent
- Anse
- TypingMind
- BetterChatGPT
- LibreChat
- Warp AI
- Pieces
- Fig AI
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