kylas-crm-mcp-server 1.0.0

MCP server for Kylas CRM lead operations: create leads, search leads, lookup users/products/pipelines.

Kylas CRM MCP Server (Lead Only)

Model Context Protocol server for Kylas CRM lead operations. Use it from Cursor, Claude Desktop, or any MCP client to create leads, search and filter leads, and look up users, products, and pipelines.

Features

• get_lead_field_instructions – Get lead schema (standard + custom fields, picklist IDs)
• create_lead – Create a lead with dynamic fields from user context
• search_leads – Search/filter leads by multiple criteria
• lookup_users – Resolve user names to IDs (for owner, created by, etc.)
• lookup_products – Resolve product names to IDs
• lookup_pipelines / get_pipeline_stages – Resolve pipeline and stage for open/closed/won leads
• search_idle_leads – Find leads with no activity for N days

Requirements

• Python 3.10+
• Kylas account and API key

Installation

pip install -e .
# or from PyPI (after publish): pip install kylas-crm-mcp-server

Configuration

Set environment variables (or use a .env file):

Variable	Required	Description
KYLAS_API_KEY	Yes	Your Kylas API key
KYLAS_BASE_URL	No	API base URL (default: https://api.kylas.io/v1)

Running the server

The server uses stdio transport (default for MCP). Run:

python -m kylas_crm_mcp
# or: python main.py  (when developing from repo root)

MCP clients (e.g. Cursor) typically start this process and communicate via stdin/stdout.

Docker

docker build -t kylas-crm-mcp .
docker run -e KYLAS_API_KEY=your_key -i kylas-crm-mcp

Development

pip install -e ".[dev]"
pytest

Publishing to the MCP Marketplace

To publish this server to the official MCP Registry (so it appears in Cursor and other MCP clients):

1. Publish the package to PyPI (the registry verifies ownership via your README).
2. Install mcp-publisher and run mcp-publisher login github, then mcp-publisher publish.

See PUBLISHING.md for the full step-by-step guide.

License

See repository for license information.