Voucherify Docs MCP

Model Context Protocol (MCP) is an open protocol for a standardized connection between AI tools and other tools, like documentation. You can connect your AI tool, like Claude, Cursor, or others, directly to Voucherify documentation. This way, when you ask questions about Voucherify to your AI tool, it will base its answers directly on the content of the documentation instead of on the trained data or web-based search. This ensures that the answers are always up-to-date with the documentation.

Documentation MCP tools

The MCP supports two tools for agents to use:

Search: Searches across the documentation to find relevant content. Use this to discover information or find pages matching a query.
Query docs filesystem: Reads and navigates the documentation’s virtual filesystem using shell-style commands. Use this to retrieve page content, browse the docs structure, or extract specific sections.

Agents determine when to use each tool based on the context of the conversation.

Connect to documentation MCP

Voucherify documentation MCP can be accessed through the following URL:

docs MCP

https://docs.voucherify.io/mcp

Quickstart installation
Claude
Claude Code
Cursor
Visual Studio Code

You can install the MCP through the Copy page context menu in this page:

Unroll Copy page drop-down menu at the top of this page.
Select:
- Copy MCP Server to copy the MCP server URL to clipboard.
- Copy MCP install command to copy the npx command to install the MCP server.
- Connect to Cursor to open Cursor and install the MCP server.
- Connect to VS Code to open Visual Studio Code and install the MCP server.

Use the following command to connect Voucherify documentation MCP to Claude Code.

Claude command

claude mcp add --transport http VoucherifyDocsMCP https://docs.voucherify.io/mcp

See the Claude Code documentation for more details.

In Cursor:

Open the command palette.
Search for Open MCP settings.
Select Add custom MCP. This opens the mcp.json file.
In mcp.json, configure your server:

{
  "mcpServers": {
    "VoucherifyDocsMCP": {
      "url": "https://docs.voucherify.io/mcp"
    }
  }
}

See the Cursor documentation for more details.

In VS Code:

Create a .vscode/mcp.json file.
In mcp.json, configure your server:

{
  "servers": {
    "VoucherifyDocsMCP": {
      "type": "http",
      "url": "https://docs.voucherify.io/mcp"
    }
  }
}

See the VS Code documentation for more details.

Using MCP servers

You can connect multiple MCP servers to your AI tools. Connected MCP servers don’t consume context until the AI calls a search tool. The AI decides when to search based on your query, so it doesn’t search every connected server for every question. When the AI searches, each query returns multiple results that add to the conversation’s context. If the AI searches several servers for a single question, this can use up significant context. Best practices for using multiple MCP servers:

Connect only the MCP servers that will be useful in your current work.
Be specific in your questions, so the AI searches the most relevant server.
Disconnect servers you’re not using to reduce context usage.

Develop

Explore

Integrate

Documentation MCP tools

Connect to documentation MCP

Using MCP servers

Develop

Explore

Integrate

​Documentation MCP tools

​Connect to documentation MCP

​Using MCP servers

Documentation MCP tools

Connect to documentation MCP

Using MCP servers