MCP Connectors
Connect your Genesis apps and AI agents to 31+ external services using MCP (Model Context Protocol) — the universal standard for AI tool integration.
What is MCP?
Model Context Protocol (MCP) is an open standard that lets AI agents connect to external tools and services. Think of it as USB-C for AI — one universal, standardized, vendor-agnostic protocol that works across platforms and providers.
With MCP connectors, your Taskade agents and automations can read from Google Sheets, send Slack messages, create GitHub issues, process Stripe payments, and much more — without writing custom integration code.
MCP connectors work with both AI Agents (conversational) and Automations (workflow-based). Set up once, use everywhere.
Two Ways to Connect
Hosted MCP (Recommended)
Taskade manages the connection for you. No servers to deploy, no infrastructure to maintain.
Zero setup — authenticate and start using tools immediately
Automatic auth — OAuth and API key management handled for you
High availability — Taskade keeps connections reliable and up to date
Custom MCP Servers
Run your own MCP server when you need full control over the integration layer.
Full control — define exactly which tools are available and how they behave
Custom tools — build tools tailored to your internal systems
On-premises data — keep sensitive data behind your firewall
Start with Hosted MCP. You can always add custom servers later for advanced use cases.
Native Integrations
Taskade includes 31 hosted MCP integrations across these categories:
Communication
Slack, Discord, Telegram, MS Teams, WhatsApp, Twilio
Gmail, Mailchimp
Google Workspace
Sheets, Drive, Calendar, Docs, Forms
CRM
HubSpot, Apollo
E-Commerce
Shopify, Stripe
Social Media
LinkedIn, X/Twitter, Facebook, Reddit, YouTube
Developer
GitHub, HTTP
Forms / CMS
Typeform, Webflow, WordPress
Scheduling
Calendly, Schedule
Content
RSS, Zoom
Connecting an Integration
Open your workspace Integrations Settings.
Browse the available MCP connectors.
Click Add on the integration you need.
Authenticate and Enable Tools you want your agents and automations to access.
Each integration may request different permissions. Review the scopes before authorizing to ensure you only grant access your workflows require.
Using MCP with AI Agents
Once an MCP connector is enabled, your agents discover available tools automatically. During a conversation, the agent will:
Identify which connected tool can fulfill the request.
Select the best tool and parameters for the job.
Execute the action (e.g., send a message, fetch a spreadsheet row).
Return the results directly in the conversation.
You don't need to tell the agent which tool to use — it figures that out from context.
Example prompt:
"Check the #sales channel in Slack for any messages about the Q2 report, then summarize them here."
The agent connects to Slack via MCP, retrieves the relevant messages, and provides a summary.
Using MCP with Automations
MCP tools are also available as action steps in automation workflows:
Create or edit an automation flow.
Add an MCP action step from the action picker.
Configure the tool, operation, and input parameters.
Chain with other actions — pass MCP output as dynamic data to subsequent steps.
Example automation:
Trigger: New task created with "bug" label Action 1: Create a GitHub issue via MCP (GitHub) Action 2: Send a Slack notification via MCP (Slack)
Building Custom MCP Servers
For advanced use cases, you can build and host your own MCP server:
Choose an SDK — TypeScript or Python.
Define tools — specify the actions your server exposes.
Deploy — host on your own infrastructure.
Connect — add the server URL in Taskade's custom MCP settings.
For detailed setup instructions, starter templates, and SDK documentation, visit the official repository: github.com/taskade/mcp
Next Steps
Getting Started with Genesis — build your first app
AI Agents — learn how agents use MCP tools in conversations
Automations — create workflows that chain MCP actions together
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