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Changelog

You can now integrate Klozeo directly from your language’s package manager — no raw HTTP needed.

  • TypeScript / JavaScriptnpm install @klozeo/sdk
  • Pythonpip install klozeo
  • Gogo get github.com/lbframe/sdk-go
  • Rustcargo add klozeo

All four clients share the same API surface: a fluent filter builder, automatic pagination, batch operations, and typed errors. Pages are fetched transparently as you iterate — you never write cursor logic yourself.

SDK documentation

The MCP integration now exposes 18 tools, up from 13 at launch. The five additions cover scoring and webhooks: you can now list and apply scoring rules, and manage webhook endpoints — all from your AI assistant without leaving the conversation.


Initial release.

Store and query your leads via API. Every lead you push gets deduplicated automatically — by email, source ID, phone, or name and city — so you always have a clean database without extra logic on your side. Custom fields (attributes) let you extend the schema without any migrations.

Score leads with your own rules. Define expressions like “add 20 points if the lead has a website, 30 more if they’re in Paris” and Klozeo computes a 0–100 score for each lead. Scores update when you push new data.

Query with precision. 20+ filter operators, cursor-based pagination, location search within a radius, and bulk export to CSV, JSON, or XLSX.

Connect your AI assistant. Claude, Cursor, Cline, and any MCP-compatible client can query your leads in natural language — no API calls to write. Authorization uses OAuth 2.0 + PKCE so you never have to copy-paste a key into a config file.

Push leads in bulk. Batch create, update, or delete up to 100 leads per request (500 on Pro).

Get notified. Webhooks fire on any lead event you care about.