Practical overview
When it fits
Use the site when evaluating MCP for an AI application integration or beginning development of an MCP client or server.
Who it is for
- Developers exploring a standard way to connect AI applications with external tools and context.
- Developers building MCP clients or servers.
Documented uses
- Understand the role of MCP in connecting AI applications to external tools and context.
- Consult official SDK documentation while planning an MCP client or server.
Requirements & limits
- MCP is a protocol for connecting AI applications with external tools and context, not itself a standalone AI application.
- The site’s stated development paths include building both MCP clients and MCP servers.
Check current requirements in the official documentation. Source-based guidance does not mean OpenViST has run or independently tested this project.
Plan MCP participants and choose a transport
Map an AI application to MCP servers and select a documented communication pattern.
Before you start
- An AI application to act as the MCP host.
- At least one MCP server to connect to.
Steps
Treat the AI application as the MCP host and create one MCP client for each MCP server; each client maintains a dedicated connection.
Choose STDIO for direct communication between local processes on the same machine, or Streamable HTTP for remote server communication.
For Streamable HTTP, account for HTTP POST messages, optional Server-Sent Events streaming, and supported HTTP authentication methods; the documentation recommends OAuth for obtaining authentication tokens.
Expected outcome
A basic MCP host-client-server plan with a transport choice suited to local or remote communication.
Guide limitations
- This is architecture guidance, not implementation or connection instructions.
- The protocol does not dictate how an AI application uses LLMs or manages supplied context.
- Local STDIO servers typically serve one client; remote Streamable HTTP servers typically serve many clients.
Identify MCP server capabilities for client integration
Determine how an MCP client discovers and uses context or actions exposed by a server.
Before you start
- An MCP client and server design to assess.
- Familiarity with the language-specific MCP SDK documentation for implementation details.
Steps
Use the mandatory server/discover request to learn the server’s supported protocol versions and capabilities; clients may send it before any other request.
Use the relevant */list method to discover available server primitives: tools, resources, and prompts.
Use the corresponding retrieval method where needed; tools can be executed with tools/call.
Expected outcome
A capability and primitive discovery plan for connecting an MCP client to a server.
Guide limitations
- The architecture overview does not provide SDK-specific implementation steps or code.
- Sampling is deprecated as of protocol version 2026-07-28; new implementations should integrate directly with LLM provider APIs.
- Available primitives and methods depend on what the server exposes.
Sources & review
Source record details
- Source availability
- Active
- Sources checked
- 7 October 2026
- Original website title
- What is the Model Context Protocol (MCP)? - Model Context Protocol · Official homepage title · retained in its source language