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Overview

What you’ll accomplish:
  • Add the ABBYY Vantage MCP server to Claude Code
  • Verify the connection is working
  • Use the SearchAbbyyVantageDocumentation tool to search docs from within your AI workflow
Time to complete: ~5 minutes

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What Is the MCP Server?

The Model Context Protocol (MCP) is an open standard that lets AI assistants connect to external tools and data sources. By adding an MCP server to Claude Code, you give the AI direct access to structured data or capabilities — without copying and pasting content manually. The ABBYY Vantage MCP server exposes a single tool, SearchAbbyyVantageDocumentation, that performs a semantic search across the full Vantage documentation. When Claude Code has this server connected, it can look up API parameters, skill configuration options, troubleshooting steps, and more — automatically, as you work.
The MCP server provides read-only access to public documentation. It does not connect to your Vantage tenant, process documents, or require any Vantage credentials.

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Prerequisites

  • Claude Code installed and running
  • Terminal access (macOS, Linux, or Windows with WSL)
No ABBYY Vantage tenant or account is required to use the MCP server.
1

Add via CLI (Recommended)

Run the following command in your terminal to register the MCP server with Claude Code:
claude mcp add abbyy-vantage https://docs.abbyy.com/mcp --transport sse
Scope options:By default, this adds the server at the project level, meaning it’s available only in the current directory (stored in .claude/settings.json). To make it available across all your projects, add the --scope user flag:
claude mcp add abbyy-vantage https://docs.abbyy.com/mcp --transport sse --scope user
ScopeConfig fileWhen to use
Project (default).claude/settings.jsonOne specific project
User~/.claude/settings.jsonAll projects on this machine
2

Alternative: Manual Configuration

If you prefer to configure manually, add the following JSON to your settings file.
Create or edit .claude/settings.json in your project root:
{
  "mcpServers": {
    "abbyy-vantage": {
      "type": "sse",
      "url": "https://docs.abbyy.com/mcp"
    }
  }
}
Edit ~/.claude/settings.json in your home directory:
{
  "mcpServers": {
    "abbyy-vantage": {
      "type": "sse",
      "url": "https://docs.abbyy.com/mcp"
    }
  }
}
3

Verify the Connection

Restart Claude Code, then run the following slash command to check that the server is registered:
/mcp
You should see abbyy-vantage listed with a connected status. To confirm the tool is working, ask Claude a Vantage-related question:
“What parameters does the Vantage Processing API require to submit a document?”
Claude Code will invoke SearchAbbyyVantageDocumentation and return results from the documentation.
If the server doesn’t appear in /mcp, check that the URL is entered exactly as https://docs.abbyy.com/mcp with no trailing slash. Also confirm that your terminal has network access to reach the server.

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Available Tools

The ABBYY Vantage MCP server exposes one tool: SearchAbbyyVantageDocumentation Performs a semantic search across the ABBYY Vantage documentation and returns the most relevant content. Claude Code invokes this tool automatically when you ask questions related to Vantage. Example queries:
  • “How do I configure a Document Skill in Vantage?”
  • “What does the minConfidence parameter do?”
  • “How do I set up an LLM connection in Vantage?”
  • “What export formats does Vantage support?”
  • “How do I authenticate with the Vantage REST API?”

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Use Cases

API Integrations

Look up endpoint parameters, authentication methods, and request/response formats without leaving your IDE

Skill Configuration

Quickly find configuration options and best practices for Document Skills, Process Skills, and Advanced Designer

Troubleshooting

Search for error messages and known issues to resolve problems faster while debugging integrations

Exploring Capabilities

Discover what Vantage supports — extraction models, supported formats, tenant settings — as you plan your project

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Tips for Effective Queries

  • Be specific: Include the feature name or API endpoint in your question rather than asking generally
  • Use Vantage terminology: Terms like “Process Skill”, “Document Skill”, “Skill Designer”, and “tenant” will return more precise results
  • Ask follow-up questions: Claude Code retains context, so you can narrow down results with follow-up prompts
  • Combine with your code: Paste an API response or config snippet and ask Claude to explain it using the Vantage docs

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Troubleshooting

Server doesn’t appear in /mcp Verify the configuration file was saved correctly and that the JSON is valid (no trailing commas). Restart Claude Code fully after making changes. Tool is not invoked automatically Claude Code invokes MCP tools based on relevance. If the tool isn’t being used, try asking your question more explicitly: “Search the ABBYY Vantage docs for…” or mention a specific Vantage feature by name. Search returns irrelevant results Rephrase your query using terms from the Vantage interface or documentation. Avoid generic terms like “workflow” or “settings” on their own — pair them with “Vantage” or a specific feature name.

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Summary

You’ve successfully:
  • ✅ Added the ABBYY Vantage MCP server to Claude Code
  • ✅ Verified the connection using /mcp
  • ✅ Learned how to trigger documentation search from within your AI workflow

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Next Steps

API Introduction

Get started with the Vantage Processing REST API

Processing Documents

Create a Process Skill and automate document processing via SFTP

Configuring LLM Connections

Connect Vantage to OpenAI or Microsoft Foundry

Prompt-Based Extraction

Use natural language prompts to extract data from documents