Connect Every Tool
With MCP Servers
Forget brittle integrations and endless API glue code. MCP is the open protocol that lets your AI assistant securely access, automate, and orchestrate all your apps and data—using a single, universal interface. Describe your workflow in plain English, and let MCP handle the rest.
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What is MCP?
MCP (Model Context Protocol) is an open standard for connecting AI assistants to real-world data sources, business tools, and development environments. Instead of building custom integrations for every data source, MCP provides a universal protocol—think of it as the "API for connecting APIs to AI."
Why is MCP a Big Deal?
- No More Integration Hell: MCP replaces a mess of custom connectors with a single, standardized protocol. Build (or use) an MCP server for your data source, and any MCP-compatible AI client can connect to it.
- Context-Rich AI: Securely expose the right data to your AI assistant, so it can give more relevant, context-aware responses. This is a game-changer for automating workflows that span multiple tools.
- Open Ecosystem: Anthropic is open-sourcing the protocol, SDKs, and a repository of pre-built MCP servers for popular systems (Google Drive, Slack, GitHub, etc.).
How Does MCP Work?
- MCP Server: Exposes your data (e.g., GitHub, Notion, Postgres) via the MCP protocol.
- MCP Client: An AI tool (like Claude) connects to the MCP server to read/write data.
- Standardized API: The protocol defines how data is described, queried, and updated, so any client/server pair can talk without custom glue code.
How Are We Using MCP to Automate Stuff?
- Unified Automation: We connect our stack (Gmail, Slack, Notion, etc.) via MCP servers.
- AI-Driven Workflows: Our AI assistant can pull tasks, check emails, summarize threads, and update CRM—all through MCP, with no custom integration for each tool.
- Plug-and-Play: Add a new data source by spinning up the relevant MCP server (or using a pre-built one), and the AI can immediately use it.
Why Should You Care?
- Less glue code: Write once, connect everywhere.
- Faster prototyping: Add new tools to your AI workflows in minutes, not weeks.
- Open and extensible: Build your own MCP servers for custom systems, or use the growing open-source library.
- Future-proof: As the ecosystem grows, your AI automations get more powerful without extra work.
Ready to Become a Productivity Powerhouse?
Get started automating your workflows in plain English, tailored to your context.