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MCP (Model Context Protocol): what it is, who runs it and which agents use it

MCP, the Model Context Protocol, is an open standard for connecting AI applications to external systems. A host such as Claude, ChatGPT, VS Code or Cursor connects to MCP servers, and each server exposes tools, resources and prompts the agent can call. Anthropic announced MCP on November 25, 2024 and donated it on December 9, 2025 to the Agentic AI Foundation, a directed fund under the Linux Foundation co-founded with Block and OpenAI.

#What changed in the 2026-07-28 spec?

The current revision makes the core stateless. The initialize handshake and the Mcp-Session-Id header are gone, so every request now carries its own protocol version and client capabilities in _meta. A new server/discover method, which servers must implement and clients may call before any other request, advertises the supported versions, capabilities and identity a client would otherwise have learned from a handshake.

Roots, Sampling and Logging are deprecated, as are the legacy HTTP+SSE transport and OAuth Dynamic Client Registration, which gives way to Client ID Metadata Documents. A new feature lifecycle policy holds a deprecated feature in the spec for a twelve-month minimum before it becomes eligible for removal.

#What are MCP Apps and Skills over MCP?

MCP Apps let a tool point at a ui:// resource that the host renders as an interactive HTML view inside a sandboxed iframe in the conversation. The extension client matrix, read on 20 September 2026, lists support in Claude on web and Desktop, VS Code GitHub Copilot, Microsoft 365 Copilot, Goose, Postman, MCPJam, ChatGPT, Cursor, Archestra.AI and PostHog Code.

Skills over MCP is a separate extension. SEP-2640 is Final, and it lets a server publish Agent Skills through skills/list, skills/get and the existing Resources primitive. Host support trails the spec: the same matrix marks ChatGPT, fast-agent and MCP Inspector as partial and shows no client with full support.

#How do you add an MCP server to an agent?

A local server runs on your own machine. Claude Desktop reads those from claude_desktop_config.json, a file Claude on the web and Claude Cowork do not offer. A remote server is added instead as a custom connector: go to Customize > Connectors, click + and Add custom connector, then paste its URL.

Claude's help centre puts custom connectors on the Free, Pro, Max, Team and Enterprise plans, limits Free users to one, and lists Claude on web, Desktop, Cowork and mobile. The MCP Apps build guide still says custom connectors are for paid plans only, so treat the help centre as the source this page follows. For a coding agent that loads servers per project, see Claude Code, and for a worked setup, MCP servers on OpenClaw.

Key facts

Key facts about MCP
MakerAgentic AI Foundation (Linux Foundation), originally Anthropic
TypeStandards
StatusOpen specification
Launched
PriceFree and open source; each host sets its own limits (Claude's Free plan allows one custom connector)
AvailabilityOfficial SDKs in 10 languages; local servers over stdio or remote over Streamable HTTP
Your own skillsYes. MCP servers built with the official SDKs, MCP Apps (ui:// HTML resources) and Agent Skills served over MCP through the Skills extension (skills docs)
Websitemodelcontextprotocol.io
DocsMCP docs
Last verified

Frequently asked questions

What is an MCP server?
A program that exposes tools, resources and prompts to AI applications over the Model Context Protocol. Hosts such as Claude, ChatGPT, VS Code and Cursor connect to it locally over stdio or remotely over Streamable HTTP.
Who owns MCP now?
Anthropic released MCP on November 25, 2024 and donated it to the Agentic AI Foundation, a directed fund under the Linux Foundation, on December 9, 2025. The spec and the official SDKs remain open source.
What is the difference between MCP and Agent Skills?
MCP connects an agent to tools and data; a skill packages instructions and scripts for a task. Since the Skills extension reached Final status an MCP server can also serve skills, but host support is still partial.

Sources

  1. Anthropic: Introducing the Model Context Protocol
  2. Anthropic: Donating MCP and establishing the Agentic AI Foundation
  3. MCP docs: introduction to the 2026-07-28 spec
  4. MCP blog: the 2026-07-28 specification release
  5. MCP specification 2026-07-28 changelog
  6. MCP extensions overview
  7. MCP Apps extension overview
  8. MCP Apps: build an MCP App
  9. MCP Skills extension overview
  10. MCP extension client matrix
  11. MCP SDKs
  12. MCP docs: connect to local MCP servers
  13. Claude Help Center: get started with custom connectors using remote MCP
  14. Claude Help Center: get started with Claude Cowork