Connect an MCP client (Claude, Cursor, ChatGPT, any MCP host) to the QuantumProxies.io MCP server: remote Streamable HTTP endpoint with OAuth 2.1 or API key, local npm package quantumproxies-mcp, tool presets, and the list of the 28 tools. Use when the user wants QuantumProxies.io tools inside an AI assistant instead of raw HTTP calls.
Generate a complete Go MCP server project with proper structure, dependencies, and implementation using the official github.com/modelcontextprotocol/go-sdk.
No other project uses it yet
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Free MCP server providing 154 tools for AI agents to automate X/Twitter. Scrapes profiles, followers, tweets. Posts, follows, likes, retweets, downloads videos, analyzes sentiment, monitors brands, manages DMs, runs workflows, and more. Uses local Puppeteer -- no API keys or payments required. Compatible with Claude Desktop, Cursor, Windsurf, VS Code. Use when setting up or using AI agent Twitter automation via MCP.
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Expert guide for DOKU Model Context Protocol (MCP) Server integration. Enables AI Agentic Commerce with tools for payment links, Virtual Accounts, QRIS, E-Wallet, status checks, refunds, and client configuration (Claude Desktop, Cursor, AGY) / Panduan ahli DOKU MCP Server untuk AI Agentic Commerce.
Pentest an MCP server for authentication bypass, confused-deputy SSRF, and tool-argument injection - black-box from its URL, deeper with repo or host access. Use to assess an MCP server's exposure.
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Configures Google Cloud API Gateway to act as a remote Model Context Protocol (MCP) server (Public Preview) that exposes REST APIs as agent tools over HTTP (POST /mcp). Use when migrating OpenAPI 2.0 specs to OpenAPI 3.x for MCP, annotating specs with x-google-api-management.mcp and x-google-mcp-tool, securing tools/list with JWTs or API keys, connecting Google ADK (McpToolset) or Apigee API hub and Agent Registry, or troubleshooting MCP JSON-RPC errors (-32601, -32602, -32000). Do not use for Apigee X proxy bundles, outbound LLM model routing, or GKE Gateway API.
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Audit an MCP server's own declaration — primitive choice (tool/resource/prompt), tool naming, input/output schemas, behavior annotations, error channels, transport fit, server instructions, and tool-count/token budget — the design-rule slice of the MCP spec plus agent-friendliness rules. Invoke when authoring, reviewing, or publishing an MCP server, or vetting a third-party server before wiring it in. Skip when auditing individual tool definitions' ergonomics or verifying annotations against their implementation — even for tools an MCP server exposes (use audit-tool-definition) or the whole agent harness's exfiltration/security architecture (use audit-lethal-trifecta).
Design, scaffold, audit, and upgrade Model Context Protocol servers. Use when the user asks to build or migrate an MCP server, adopt MCP 2026-07-28, add dual-era support, create an MCP integration, expose an API or data source through MCP tools/resources/prompts, add OAuth or API-key auth to an MCP endpoint, run an authorization server for it, support browser-hosted MCP clients, or choose an MCP transport/auth/deployment shape.
Use when exposing a service or dataset to AI clients through the Model Context Protocol — few task-shaped tools with typed inputs, read-only by default, server-enforced confirmation for writes, stdio or Streamable HTTP, OAuth for remote, size limits, tests with the Inspector.
Build Model Context Protocol (MCP) servers in Python (FastMCP), JavaScript, or TypeScript. Use when creating new MCP servers, adding tools/resources/prompts, configuring transports (stdio/HTTP), or debugging MCP protocol issues. Triggers on requests for MCP development, AI tool creation, or Claude Desktop integration.
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Use when writing or reviewing a Model Context Protocol (MCP) server in Java that exposes a service's data or actions as tools to coding agents and LLM clients, with the official MCP Java SDK (io.modelcontextprotocol.sdk) or Spring AI's MCP server starters, choosing STDIO or Streamable HTTP, writing tool input schemas, seeing a client fail to parse the server's output, or securing an HTTP MCP endpoint. Key rule: the official SDK (mcp 2.1.0) or Spring AI 2.0 starters; narrow intent-level tools (search_orders), never run_sql or run_command; a JSON schema with enum, bounds, required and additionalProperties false, validateToolInputs left on; never write to System.out with STDIO (logs to stderr, banner and console logging off); tool work under a timeout that cancels it and a fail-fast concurrency cap; failures as isError results with sanitized text, never thrown; HTTP behind an OAuth 2.1 resource server checking the token audience, plus Origin and Host validation.
Connect AI coding agents to Figma designs via MCP to generate code from frames, extract design tokens, use Code Connect, and write directly to the canvas
Run and interact with MATLAB using AI applications through the Model Context Protocol, enabling AI agents to execute MATLAB code, manage sessions, and assess code quality.
Control Unity Editor and Unity Hub from AI assistants via MCP — 288 tools for scene management, GameObjects, components, builds, profiling, Shader Graph, terrain, physics, and more
This skill should be used when the user asks to "build an MCP server", "create an MCP", "make an MCP integration", "wrap an API for Claude", "expose tools to Claude", "make an MCP app", or discusses building something with the Model Context Protocol. It is the entry point for MCP server development — it interrogates the user about their use case, determines the right deployment model (remote HTTP, MCPB, local stdio), picks a tool-design pattern, and hands off to specialized skills.
Plain text files in a repository that tell a coding agent how the project works: commands to run, conventions to follow and things to avoid. CLAUDE.md, AGENTS.md, cursor rules and skills are the common kinds.
CLAUDE.md or AGENTS.md?
CLAUDE.md is read by Claude Code. AGENTS.md is an open format that Codex, Cursor and other agents read. Many projects keep one and point the other at it.
What is a skill?
A folder with a SKILL.md that describes one capability, such as filling PDFs or reviewing code. The agent loads it only when the task calls for it.
Can I search my own team's files too?
Your agents already can, over MCP, limited to the files you're allowed to read. Searching them from this page is coming.