Guide for creating high-quality MCP (Model Context Protocol) servers that enable LLMs to interact with external services through well-designed tools. Use when building MCP servers to integrate external APIs or services, whether in Python (FastMCP) or Node/TypeScript (MCP SDK). license: Complete terms in LICENSE.txt
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Engineering
Build, review, ship, and maintain software systems with agent assistance.
What team job or business role does the user need filled?
Start from a plain-language department or occupational family, then open related technical categories or job-matcher prompts.
- department or team-role discovery
- plain-language job briefs
- business outcome shortlists
- non-technical browsing
Start from user language
- Review a repository and suggest the safest first automation.
- Ship a frontend change with code review and a sandbox trial.
Sandbox-first next steps
Engineering candidates
Showing 12 of 5000. Adjust filters to narrow the review list without losing job context.
The open-source AI-native IDE.
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The open source AI code editor.
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Generate Vitest + React Testing Library tests for Dify frontend components, hooks, and utilities. Triggers on testing, spec files, coverage, Vitest, RTL, unit tests, integration tests, or write/review test requests.
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Comprehensive resources on Generative AI, including a detailed roadmap, projects, use cases, interview preparation, and coding preparation.
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A Rust-based CLI tool for code-related tasks, operating as an MCP server. Browse Code Assistant MCP Server for Claude, Cursor, VS Code, and other AI agents.
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This skill guides Mastra development by teaching how to verify current APIs, locate embedded or remote docs, and build robust agents and workflows.
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A Model Context Protocol (MCP) integration that provides Claude Desktop with autonomous browser automation capabilities. This agent enables Claude to interact with web content, manipulate DOM elements, execute JavaScript, and perform API requests.
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A Model Context Protocol (MCP) server that provides detailed type information from .NET projects for AI coding agents.
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This skill spawns autonomous subagents to offload context-heavy work, returning only final results to accelerate deep research and complex codebase exploration.
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Jack into any OpenAPI spec and rip a full-featured CLI with AI-agentic workflow automation
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OSSA - Open Standard for Software Agents. Infrastructure bridge between agent protocols (MCP, A2A) and deployment platforms. Define once in YAML, export to 9+ platforms (Docker, Kubernetes, LangChain, CrewAI, Claude Skills, etc.).
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Review links
Role-family pages stay focused on plain-language job review; complete review records and finalist profile resources stay linked here.
Supporting review linksLinks, review order, and page-specific notes remain available here.
5000 candidates for Engineering. Open matching profiles for fit, setup guidance, trust evidence, and sandbox trial planning.
- 01Site contextShared review rules
- 02Role familyOpen the focused review record
- 03Profile pageOpen the candidate page
- 04Profile resourcesEvidence, setup, trust, trial, and history files
Use the links and review path below for role-family candidates, job brief context, and finalist profile resources before action.