Kylas CRM MCP Server
Enables management of Kylas CRM lead operations, including creating leads, searching and filtering records, and resolving user, product, or pipeline IDs. It provides specialized tools for monitoring idle leads and accessing lead schema instructions through natural language.
README
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.
<!-- mcp-name: io.github.akshaykylas94/kylas-crm -->
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
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
License
See repository for license information.
Recommended Servers
playwright-mcp
A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.
Magic Component Platform (MCP)
An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.
Audiense Insights MCP Server
Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.
VeyraX MCP
Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.
Kagi MCP Server
An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.
graphlit-mcp-server
The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.
Qdrant Server
This repository is an example of how to create a MCP server for Qdrant, a vector search engine.
Neon Database
MCP server for interacting with Neon Management API and databases
Exa Search
A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.
E2B
Using MCP to run code via e2b.