What is the Model Context Protocol (MCP) and how does it affect automation tools?
Quick Answer: The Model Context Protocol (MCP) is an open standard created by Anthropic in November 2024 that allows AI agents to discover and invoke external tools and data sources. Adopted by OpenAI in March 2025 and donated to the Linux Foundation in December 2025, MCP enables platforms like Zapier, Make, and Workato to expose their automations as tools that any compatible AI agent can execute.
Model Context Protocol: The Short Version
The Model Context Protocol (MCP) is a standardized interface that allows AI assistants and agents to connect with external tools, databases, and services. Think of it as a universal adapter: instead of each AI system needing custom integrations with every tool, MCP provides a single protocol that both sides implement.
Origin and Adoption Timeline
- November 2024: Anthropic announced MCP as an open standard
- March 2025: OpenAI adopted MCP, followed by Google DeepMind
- Mid-2025: 5,800+ MCP servers and 300+ MCP clients existed in the ecosystem, with 97 million monthly SDK downloads
- December 2025: Anthropic donated MCP to the Agentic AI Foundation (AAIF) under the Linux Foundation, with OpenAI and Block as co-founders and AWS, Google, Microsoft, Cloudflare, and Bloomberg as supporting members
How MCP Affects Automation Tools
MCP transforms automation platforms from standalone tools into an action layer for AI systems:
- Zapier: MCP support announced at ZapConnect 2025. AI agents can discover and execute Zaps without users navigating the Zapier UI.
- Make: Automations function as MCP tools that external AI systems can discover and invoke.
- Workato: Launched 8 production-ready MCP servers (Gong, Slack, Jira, GitHub, Okta, Google Calendar, Google Directory, Google Sheets) in February 2026, with plans for 100+ servers during 2026.
Why This Matters
Before MCP, using an AI assistant to trigger an automation required manual configuration or custom API work. With MCP, an AI agent can ask "what tools are available?", receive a structured list of available automations, and invoke the appropriate one without prior setup.
For organizations using automation platforms, MCP means their existing workflows gain a new interface: conversational AI. For AI developers, MCP means access to thousands of pre-built integrations without building them from scratch.
The AAIF's stewardship under the Linux Foundation and the participation of major technology companies suggest MCP is becoming a durable industry standard rather than a single-vendor initiative.
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