Senzing

v1.0.0Data Science & MLstable

Agent skill for Senzing entity resolution — data mapping, SDK code generation, documentation search, error troubleshooting, and sample data via the Senzing MCP server

agent-skillsclaude-codeclaude-skillsentity-resolutionmcp
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What is Senzing?

Senzing is a Model Context Protocol (MCP) server that allows AI assistants like Claude, Cursor, and VS Code to agent skill for senzing entity resolution — data mapping, sdk code generation, documentation search, error troubleshooting, and sample data via the senzing mcp server

Agent skill for Senzing entity resolution — data mapping, SDK code generation, documentation search, error troubleshooting, and sample data via the Senzing MCP server

This server falls under the Data Science & ML category on MCPgee, the world's largest MCP server directory with 33,000+ servers.

Features

  • Agent skill for Senzing entity resolution — data mapping, SD

Use Cases

Resolve entity identity and relationships using Senzing AI.
Generate data mapping code and troubleshoot entity resolution errors.
Senzing

Maintainer

LicenseMIT
Languagetypescript
Versionv1.0.0
UpdatedMar 23, 2026
Statushealthy
Maintenanceactive

Works with

ClaudeOpenAIwindowsmacoslinux

Installation

Manual Installation

npx senzing-mcp-skill

Configuration

Configuration Details

Config File

claude_desktop_config.json

Performance

Response Metrics

Response Time< 200ms
ThroughputMedium

Resource Usage

Memory UsageLow
CPU UsageLow

How to Set Up and Use Senzing

The Senzing MCP Skill connects AI agents to Senzing's entity resolution platform via a hosted MCP endpoint at mcp.senzing.com. It enables developers to map source data formats, generate SDK setup code across Python, Java, C#, Rust, and TypeScript, search Senzing documentation, troubleshoot error codes, and access sample datasets — all without leaving their AI assistant. Teams evaluating or actively deploying Senzing for customer identity resolution will find this skill dramatically accelerates their workflow.

Prerequisites

  • An MCP-compatible client such as Claude Desktop, Claude Code, or Cursor
  • Network access to https://mcp.senzing.com/mcp (the hosted MCP endpoint)
  • No API key required — the server is publicly accessible
  • Basic familiarity with Senzing entity resolution concepts (optional but helpful)
1

Add the server to Claude Desktop

Open your Claude Desktop configuration file and add the Senzing MCP server as a URL-based remote server. The server is hosted by Senzing and requires no local installation.

{
  "mcpServers": {
    "senzing": {
      "type": "url",
      "url": "https://mcp.senzing.com/mcp"
    }
  }
}
2

Add the server via Claude Code CLI

If you use Claude Code, you can register the remote MCP server directly from the terminal using the HTTP transport flag.

claude mcp add --transport http senzing https://mcp.senzing.com/mcp
3

Restart your MCP client

After saving the configuration, restart Claude Desktop or reload your MCP client session so it discovers and connects to the Senzing server.

4

Verify the connection

Ask your AI assistant a simple Senzing question to confirm the skill is active and the remote server is reachable.

5

Start using entity resolution capabilities

Use natural language to invoke Senzing capabilities: data mapping, SDK code generation, documentation search, error troubleshooting, sample data retrieval, and V3-to-V4 migration guidance.

Senzing Examples

Client configuration

Remote URL-based configuration for Claude Desktop's claude_desktop_config.json file.

{
  "mcpServers": {
    "senzing": {
      "type": "url",
      "url": "https://mcp.senzing.com/mcp"
    }
  }
}

Prompts to try

Example prompts that exercise the Senzing entity resolution skill.

- "Map my CSV customer data with fields first_name, last_name, email, phone to Senzing's data format"
- "Generate Python code to set up the Senzing SDK and load records from a JSON file"
- "I'm getting error code 456 when resolving entities — what does it mean and how do I fix it?"
- "Show me a sample dataset I can use to test Senzing entity resolution"
- "What are the breaking changes when migrating from Senzing V3 to V4?"

Troubleshooting Senzing

The MCP client cannot connect to mcp.senzing.com

Verify your network allows outbound HTTPS to mcp.senzing.com on port 443. Corporate firewalls or VPNs may block the connection. Test with curl https://mcp.senzing.com/mcp from the terminal.

Claude Code reports 'unknown transport type' when adding the server

Ensure you include the --transport http flag: claude mcp add --transport http senzing https://mcp.senzing.com/mcp. Older Claude Code versions may require updating to support URL-based MCP servers.

The skill responds but Senzing documentation results seem outdated

The hosted server reflects the latest Senzing documentation releases. If you need documentation for a specific older version, mention the version explicitly in your prompt (e.g., 'in Senzing V3...').

Frequently Asked Questions about Senzing

What is Senzing?

Senzing is a Model Context Protocol (MCP) server that agent skill for senzing entity resolution — data mapping, sdk code generation, documentation search, error troubleshooting, and sample data via the senzing mcp server It connects AI assistants to external tools and data sources through a standardized interface.

How do I install Senzing?

Follow the installation instructions on the Senzing GitHub repository. Clone the repo, install dependencies, and add the server config to your AI client.

Which AI clients work with Senzing?

Senzing works with all major MCP-compatible AI clients including Claude Desktop, Claude Code, Cursor, VS Code (GitHub Copilot), Windsurf, and Cline.

Is Senzing free to use?

Yes, Senzing is open source and available under the MIT license. You can use it freely in both personal and commercial projects.

Browse More Data Science & ML MCP Servers

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Quick Config Preview

{ "mcpServers": { "senzing-mcp-skill": { "command": "npx", "args": ["-y", "senzing-mcp-skill"] } } }

Add this to your claude_desktop_config.json or .cursor/mcp.json

Read the full setup guide →

Ready to use Senzing?

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