MCP: The Protocol That Collapses N×M LLM Integrations
Implement MCP servers to reduce N×M integrations.
Set up an MCP server for your most used tool and test cross‑client integration.
Summary
MCP is a JSON‑RPC 2.0 protocol that runs over stdio or HTTP, defining three primitives: tools, resources, and prompts.
Anthropic introduced MCP in November 2024, and it was subsequently adopted by OpenAI, Microsoft, and Google, with the Linux Foundation taking over stewardship in December 2025.
The protocol reduces integration complexity from an N×M problem (e.g., five LLM clients × eight tools = forty wires) to an N+M problem (eight + five = thirteen wires).
An example of its power is a Drive‑to‑Salesforce workflow that dropped token usage by 98.7%, cutting context from 150,000 to 2,000 tokens.
By March 2026 MCP had 97 million SDK downloads per month, illustrating rapid adoption across the AI ecosystem.
MCP servers expose callable functions, readable data, and reusable prompts, allowing any LLM client that speaks the protocol to interact with any tool without custom integration code.
The protocol’s simplicity mirrors the Language Server Protocol’s success in IDEs, providing a standard plug‑and‑play interface for AI tools.
This shift enables developers to compose complex agent workflows with minimal boilerplate, dramatically improving productivity.
Key changes
- MCP is a JSON‑RPC 2.0 protocol over stdio or HTTP
- Three primitives: tools, resources, prompts
- Anthropic launched MCP in Nov 2024, adopted by OpenAI, Microsoft, Google, and Linux Foundation in Dec 2025
- MCP reduces integration wires from N×M to N+M
- Drive‑to‑Salesforce example cut token usage by 98.7%
- 97 million SDK downloads per month by Mar 2026
- MCP servers expose callable functions, readable data, and reusable prompts
- Protocol enables cross‑client tool composition with minimal boilerplate