Connect AI assistants to Google Drive via MCP for searching files, creating Docs/Sheets/Slides, managing folders, and automating document …
MCP Tools
Model Context Protocol (MCP) tools and integrations for extending AI assistant capabilities.
15 skills available
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Connect AI assistants to external APIs via MCP. Build bridges to REST APIs, webhooks, and third-party services with authentication and rate …
Connect AI assistants to databases via MCP. Build secure database tools for querying, inserting, and managing data with proper safety …
Build MCP resources for managing context, memory, and persistent state. Give AI assistants access to notes, history, and dynamic context.
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Build production-ready custom MCP servers in Python or TypeScript with tools, resources, and prompts. Complete guide covering FastMCP, …
Connect AI assistants to GitHub via MCP for managing repos, issues, PRs, code search, Actions workflows, and security alerts with natural …
Connect AI assistants to Google Drive via MCP for searching files, creating Docs/Sheets/Slides, managing folders, and automating document …
Orchestrate multiple MCP servers into unified AI workflows with gateway patterns, intelligent routing, tool namespacing, cross-server …
Connect AI assistants to Notion workspaces via MCP for searching pages, querying databases, creating content, managing blocks, and …
Connect AI assistants to PostgreSQL databases via MCP for querying data, inspecting schemas, optimizing queries, analyzing database health, …
Connect AI assistants to Slack workspaces via MCP for reading channels, posting messages, searching conversations, managing threads, and …
Connect AI assistants to Stripe via the official MCP server for managing customers, products, subscriptions, invoices, payments, refunds, …
Connect AI assistants to Supabase via the official MCP server for database queries, schema management, edge functions, branching, logs, and …
Create MCP Apps with interactive UI components like dashboards, forms, and data visualizations that render directly inside AI assistant …
Build MCP resources for managing context, memory, and persistent state. Give AI assistants access to notes, history, and dynamic context.
Connect AI assistants to external APIs via MCP. Build bridges to REST APIs, webhooks, and third-party services with authentication and rate …
Connect AI assistants to databases via MCP. Build secure database tools for querying, inserting, and managing data with proper safety …
Design and implement custom MCP tools with proper schemas, error handling, and best practices. Create powerful AI capabilities.
Build your first Model Context Protocol (MCP) server from scratch. Step-by-step guide for TypeScript and Python implementations with working …
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