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Written by Max Zeshut
Founder at Agentmelt · Last updated Jul 15, 2026
A lightweight service that exposes tools, resources, and prompts to AI agents through the Model Context Protocol standard. MCP servers act as adapters between AI agents and external systems—a CRM MCP server exposes 'search contacts' and 'create deal' tools, a database MCP server exposes 'run query' and 'list tables.' Any agent that speaks MCP can discover and use these tools without custom integration code. Introduced by Anthropic in November 2024, MCP is now supported by Claude, ChatGPT, Gemini, Cursor, VS Code, JetBrains, and Zed, and the official registry crossed 5,000 servers by mid-2026. **Security note:** every connected MCP server is code you're running and a channel for [[indirect-prompt-injection]] back into your model — see [[mcp-security]], [[tool-poisoning]], [[tool-shadowing]], and our full [MCP security pillar](/blog/mcp-security-2026-attacks-and-defenses/).
A developer builds an MCP server for their company's internal ticketing system, exposing 3 tools: searchTickets, createTicket, and updateStatus. Now any AI agent in the company (support bot, coding assistant, ops agent) can interact with the ticketing system through a standardized interface—no custom integration per agent. In production, that server runs in a container with an egress allowlist, uses [[mcp-oauth]] with Resource Indicators, and every tool call is logged with server name, session identity, and output size.