Agentica server + Claude proxy setup - architecture, startup sequence, debugging
Configure Supabase MCP server for a specific project using local .mcp.json (NOT global). Each project needs its own config to prevent wrong-database queries. Triggers: setup supabase mcp, install...
Build high-quality Model Context Protocol (MCP) servers to integrate external APIs and services. Use when creating MCP tools, resources, or prompts.
Guide for building MCP (Model Context Protocol) servers that integrate external APIs/services with LLMs. Covers Python (FastMCP) and TypeScript (MCP SDK) implementations.
Provides a Model Context Protocol (MCP) server interface to the skills library, allowing any MCP-compliant agent (e.g. Claude Desktop) to invoke Antigravity skills as native tools.
Use when building MCP servers or clients that connect AI systems with external tools and data sources. Invoke for MCP protocol compliance, TypeScript/Python SDKs, resource providers, tool functions.
AgentMail MCP server for email tools in AI assistants. Use when setting up AgentMail with Claude Desktop, Cursor, VS Code, Windsurf, or other MCP-compatible clients. Provides tools for inbox...
Scan for unprotected MCP servers using @contextware/mcp-scan package. Enables security auditing of local AI tools and network endpoints.
Use when querying Jira issues, searching Confluence pages, creating tickets, updating documentation, or integrating Atlassian tools via MCP protocol.
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Build production-ready MCP clients in TypeScript or Python. Handles connection lifecycle, transport abstraction, tool orchestration, security, and error handling. Use for integrating LLM...
Configure popular MCP servers for enhanced agent capabilities
Guide for creating high-quality MCP (Model Context Protocol) servers
Verifies MCP server availability and toolkit connections. Run at session start or when tools aren't working. Checks Rube, Firecrawl, browser automation, and other integrations.
Model Context Protocol development expert. Use when creating MCP servers, clients, or tools that enable AI agents to interact with external systems, APIs, and development environments.
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