Kylas

Name: Kylas
Author: kylastech

@kylastech

代码仓库

关于 Kylas

暂无概览

基本信息

分类

数据与分析

传输方式

stdio

发布者

kylastech

提交者

Akshay Gunshetti

配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

{
  "mcpServers": {
    "kylas-crm": {
      "command": "PASTE_THE_PATH_FROM_which_kylas_crm_mcp",
      "env": {
        "KYLAS_API_KEY": "THEIR_KYLAS_API_KEY"
      }
    }
  }
}

工具

未检测到工具

工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。

概览

What is Kylas?

Kylas is a Model Context Protocol (MCP) server for Kylas CRM lead operations. It allows MCP clients like Cursor or Claude Desktop to create leads, search and filter leads, and look up users, products, and pipelines.

How to use Kylas?

Install with pip install -e . or from PyPI after publication. Set the KYLAS_API_KEY environment variable (required) and optionally KYLAS_BASE_URL. Run the server via python -m kylas_crm_mcp or use the provided Docker image. MCP clients communicate over stdio. Available commands include create_lead, search_leads, lookup_users, lookup_products, lookup_pipelines, get_pipeline_stages, and search_idle_leads.

Key features of Kylas

Create leads with dynamic fields from user context
Search and filter leads by multiple criteria
Resolve user names to IDs for ownership fields
Resolve product names and pipeline stages
Find leads idle for N days

Use cases of Kylas

Create new leads in Kylas CRM from an AI assistant
Search for leads based on custom filters and criteria
Automatically map user, product, and pipeline names to internal IDs
Identify leads with no recent activity for follow-up

FAQ from Kylas

What are the system requirements for Kylas?

Python 3.10+ and a Kylas account with an API key.

How do I configure Kylas?

Set the KYLAS_API_KEY environment variable. Optionally set KYLAS_BASE_URL (default: https://api.kylas.io/v1). Configuration can also be placed in a .env file.

What transport does Kylas use?

Kylas uses stdio transport, the default for MCP. Clients start the server process and communicate via stdin/stdout.

Can Kylas be run with Docker?

Yes. Build the image with docker build -t kylas-crm-mcp . and run it, passing the API key via the -e flag: docker run -e KYLAS_API_KEY=your_key -i kylas-crm-mcp.

How do I publish Kylas to the MCP Marketplace?

Publish the package to PyPI, then use the mcp-publisher tool (login via GitHub and run mcp-publisher publish). Full instructions are in PUBLISHING.md.

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