# Model Context Protocol

The Model Context Protocol (MCP) is an open standard that connects AI applications to outside tools and data. An agent uses MCP to fetch current information and run actions through a single interface, so a large language model (LLM) can work beyond its training data.

The Model Context Protocol (MCP) is an open standard that lets AI applications connect to external tools, data sources, and services through one consistent interface, so models can reach real-time information and take actions.

## What is Model Context Protocol?

The Model Context Protocol (MCP) is an open standard that connects AI applications to outside tools and data. An agent uses MCP to fetch current information and run actions through a single interface, so a large language model (LLM) can work beyond its training data.

Anthropic released MCP as open source on November 25, 2024, an approach [introduced by Anthropic in November 2024](https://www.anthropic.com/news/model-context-protocol). The MCP specification defines how a client and a server exchange requests, so any compatible application can call any compatible tool.

For a deeper walkthrough, read the [Model Context Protocol fundamentals](https://parallel.ai/articles/what-is-mcp).

## Key characteristics

- **Open standard:** The MCP project ships [10 official SDKs](https://modelcontextprotocol.io/docs/2026-07-28/sdk), or software development kits, including TypeScript, Python, C#, Go, and Rust.
- **Three roles:** The [MCP architecture](https://modelcontextprotocol.io/docs/2026-07-28/learn/architecture) connects an MCP host (the AI application), an MCP client (the connector inside the host), and an MCP server (the external tool or data source).
- **Dynamic tool discovery:** As the [MCP specification defines](https://modelcontextprotocol.io/specification/2026-07-28/server/index), an agent finds and calls the tools a server offers at runtime, so you skip hardcoding each connection.
- **Standard messaging:** All messages between MCP clients and servers must follow the JSON-RPC 2.0 remote procedure call specification, defined in the [official MCP specification](https://modelcontextprotocol.io/specification/2025-11-25/basic).
- **Wide adoption:** As of December 2025, Anthropic reported [more than 10,000 active public MCP servers](https://www.anthropic.com/news/donating-the-model-context-protocol-and-establishing-of-the-agentic-ai-foundation).

## Example

Suppose you build an AI agent that needs live web data. With [Parallel’s MCP integration](https://docs.parallel.ai/integrations/mcp/getting-started), you add the Parallel Search API as an MCP tool, and your agent runs web searches during a conversation.

[Parallel Search](https://parallel.ai/products/search) returns ranked URLs and dense excerpts built for agents. Your agent calls this tool through MCP without any custom scraping code.

![Parallel Search available to AI agents through MCP](https://cdn.sanity.io/images/5hzduz3y/production/bea68c68edf44c3047bc9e45508329968b857ac6-1920x1080.png)

_Parallel Search offered to AI agents through MCP. Source: __[Parallel Search MCP](https://parallel.ai/blog/free-web-search-mcp)__._

## Related terms

- Structured deep research with the [Task API](https://parallel.ai/products/task)
- Prebuilt agent integration with the [Task MCP server](https://parallel.ai/blog/parallel-task-mcp-server)
- Web search as an agent tool with the [Search MCP server](https://parallel.ai/blog/search-mcp-server)

## FAQ

**How is MCP different from a traditional API?**

A traditional API exposes fixed endpoints a developer hardcodes, while MCP lets an agent discover and call available tools at runtime through one standard interface.

**Does ChatGPT support MCP?**

Yes. Per the [official MCP project](https://modelcontextprotocol.io/docs/2026-07-28/getting-started/intro), AI assistants including Claude and ChatGPT and developer tools like Visual Studio Code and Cursor all support MCP.

**Is MCP open source?**

Yes. MCP is an [open standard](https://github.com/modelcontextprotocol) with public specifications and SDKs, and anyone can build MCP clients or servers without a license fee.

We build web search and research APIs for AI agents. To connect them to your agent through MCP, [Start Building](https://docs.parallel.ai/home).