modelcontextprotocol.io

● Identity checked

AI protocol · Vendor site 2026-10-04

Model Context Protocol (MCP) is an open standard for connecting AI applications to external data sources, tools, and workflows through a unified interface. Official documentation on modelcontextprotocol.io explains how hosts, servers, and clients interoperate so assistants can call databases, APIs, and local files safely.

Updated 2026-10-04View sources

Official website

Category: AI protocol
Free access: Specification and developer docs are published openly without a listed MCP subscription fee.
API access: Documentation covers MCP servers, client SDKs, and HTTP/JSON-RPC integration patterns for builders.

Is modelcontextprotocol.io right for you?

A good fit for

AI application developers standardizing how assistants reach tools and data instead of building one-off connectors per vendor.

Before you choose

Site is documentation-centric; it describes the protocol rather than selling a hosted MCP runtime.

Standard connector for AI applications

MCP documentation compares the protocol to a universal port for AI apps, enabling standardized access to data sources and tools across hosts like Claude, ChatGPT, and custom agents.

What it can do

Features & capabilities

Unknown is different from unavailable. Each fact carries its own evidence.

Capability	Value	Evidence	Checked
Definition	Intro docs state MCP is an open-source standard for connecting AI apps to external systems.	Facts sourced	2026-10-04
Use cases	Docs list connections to local files, databases, search tools, calculators, and specialized prompts.	Facts sourced	2026-10-04
Ecosystem	Navigation includes specification, SDK, security, and example server sections for implementers.	Facts sourced	2026-10-04

Understand the total cost

modelcontextprotocol.io pricing & plans

Free

Specification and developer docs are published openly without a listed MCP subscription fee.

Access: Specification and developer docs are published openly without a listed MCP subscription fee.

Explore pricing & history

Alternatives to modelcontextprotocol.io

View all ↗

ApyHub AI APIs

ApyHub hosts a catalog of certified AI APIs—including text generation, summarization, vision, and HR parsers—under one MCP-ready subscription. Developers call production APIs with unified billing and a free starter tier.

Explore tool

Cloud 66

Cloud 66 is a DevOps platform for building, deploying, and scaling applications on any cloud or your own servers without vendor lock-in. It bundles deployment pipelines, monitoring, security, and scaling tools for stacks ranging from a single server to large fleets.

Explore tool

Context.dev

Context.dev is a web data API for AI agents and LLMs to scrape pages into Markdown, crawl sites, map domains, run batches, research the web, monitor changes, and retrieve brand data through one REST platform with SDKs and MCP support.

Explore tool

The practical questions

Frequently asked questions

What is modelcontextprotocol.io used for?

Does modelcontextprotocol.io have a free plan?

Specification and developer docs are published openly without a listed MCP subscription fee.. This record lists ongoing free access; check the plan limits before starting.

How much does modelcontextprotocol.io cost?

No paid monthly price is listed; this record treats the product as free to start. See the plan cards for entitlements, billing commitments and seat minimums.

Can I use modelcontextprotocol.io through an API?

Documentation covers MCP servers, client SDKs, and HTTP/JSON-RPC integration patterns for builders.. API access and subscription access may have different terms; consult the linked sources.

What should I check before choosing it?

Site is documentation-centric; it describes the protocol rather than selling a hosted MCP runtime.

Price history

No retained pricing changes yet. A current price alone does not establish a historical trend.

How this profile is supported

Identity and profile

Reviewed vendor source

Read original source ↗

2026-10-04

Facts apply to the named version and check date. Send a sourced correction if something changed.