Introduction
Klavis AI makes it effortless to connect to production-ready MCP servers & clients at scale. Integrate MCPs with your AI applications in a minute, and scale to millions of users using our open-source infrastructure, hosted servers, and multi-platform clients!
✨ Key Features
Klavis AI removes the barrier to using MCPs by providing:
- Production-Ready MCP Servers: All our MCP Servers come from official sources or are internally evaluated by Klavis and our customers.
- Built-In Authentications: Secure authentication out of the box for both developers and end-users.
- MCP Client Integrations: We support MCP Client Integration, allowing you to interact via Klavis Slack, Discord, or web MCP client and integrate into your workflows seamlessly.
- 100+ Tool Integrations & Customizations: Support for various tools and customized MCP servers tailored to your needs.
🚀 Quick Start
To run self hosted versions, check out the detailed readme in each MCP server and MCP client below.
MCP Servers
- Discord: For Discord API integration
- Document Conversion (Pandoc): Convert between various file formats using Pandoc
- Firecrawl: For web crawling and data collection
- Firecrawl Deep Research: For deeper web research tasks
- GitHub: Perform GitHub repository operations
- Markitdown: Markdown conversion tool
- Postgres: For PostgreSQL database operations
- Report Generation: Create professional web reports from user query
- Resend: For email services
- Shopify: For Shopify Admin API integration
- Slack: For Slack API integration
- Supabase: For database operations
- YouTube: Extract and convert YouTube video information
- Jira: manage your sprint
- And More!
MCP Clients
- Discord MCP Client Setup Guide
- Slack MCP Client Setup Guide
- Web Chat MCP Client Setup Guide
Hosted solutions
-
Sign up for Klavis platform and create your API key
-
Create a new MCP server instance
curl --request POST \
--url https://api.klavis.ai/mcp-server/instance/create \
--header 'Authorization: Bearer <KLAVIS_API_KEY>' \
--header 'Content-Type: application/json' \
--data '{
"serverName": "<MCP_SERVER_NAME>",
"userId": "<USER_ID>",
"platformName": "<PLATFORM_NAME>"
}'
Note: It will return an MCP server URL that takes care of everything for you!
- Set up auth token or use our in-house OAuth flow (if the MCP Server requests private info)
curl --request POST \
--url https://api.klavis.ai/mcp-server/instance/set-auth-token \
--header 'Authorization: Bearer <KLAVIS_API_KEY>' \
--header 'Content-Type: application/json' \
--data '{
"instanceId": "<string>",
"authToken": "<string>"
}'
Check out our documentation for more details!
🤝 Contributing
We love contributions! Please check our Contributing Guidelines for details on how to submit changes. Join our Discord community to discuss ideas and get help.
📜 License
This project is licensed under the MIT License - see the LICENSE file for details.