MCP server
Entity Resolve
com.x402supply/entity-resolve
Checked 26 Oct 2026, 08:29 UTC · Connected to it and listed its tools
Fuzzy entity resolution and dedupe for names, addresses, and company records. $0.02/call via x402.
Working at last checkVerified publisher: x402supply.comAbout 222 tokens per request once connected1 tools
https://entity-resolve.x402supply.com/mcp
At a glance
- Type
- MCP server
- Publisher
- x402supply.com (verified by the MCP Registry)
- Status
- Working at last check
- Tools
- 1
- Token cost
- About 222 tokens per request
- Sets up in
- Claude Code, Claude Desktop, Codex, Gemini CLI, Cursor, VS Code, Antigravity, ChatGPT, OpenAI API, Grok
- Last checked
- 26 Oct 2026, 08:29 UTC
Connect it to your agent
Opens the app, which shows the server and asks you to confirm. For other apps, copy the setup below.
Claude Code
claude mcp add --transport http entity-resolve https://entity-resolve.x402supply.com/mcp
Claude Desktop
Settings → Connectors → Add custom connector, and paste the URL.
Codex (config.toml)
[mcp_servers.entity-resolve] url = "https://entity-resolve.x402supply.com/mcp"
Gemini CLI
{"mcpServers":{"entity-resolve":{"httpUrl":"https://entity-resolve.x402supply.com/mcp"}}}
Cursor
{"mcpServers":{"entity-resolve":{"url":"https://entity-resolve.x402supply.com/mcp"}}}
VS Code
{"servers":{"entity-resolve":{"type":"http","url":"https://entity-resolve.x402supply.com/mcp"}}}
Antigravity
agy mcp add entity-resolve https://entity-resolve.x402supply.com/mcp
ChatGPT
Settings → Apps & Connectors → Advanced settings: turn on Developer mode, then Create a connector and paste the URL. Which plans can do this varies.
OpenAI API (Responses tools)
{"type":"mcp","server_label":"entity-resolve","server_url":"https://entity-resolve.x402supply.com/mcp","require_approval":"always"}
Grok (xAI API tools)
{"type":"mcp","server_label":"entity-resolve","server_url":"https://entity-resolve.x402supply.com/mcp"}
Tools
resolve~222 tokens
Fuzzy-dedupe a list of records into clusters of likely-duplicate entities. Blocks by normalized token prefix, scores with Jaro-Winkler + token-set matching (exact on email/phone), unions matches above threshold, and returns a merged canonical record per cluster with a confidence score. Deterministic
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