> ## Documentation Index
> Fetch the complete documentation index at: https://www.klavis.ai/docs/llms.txt
> Use this file to discover all available pages before exploring further.

# Overview

> Integrate Klavis MCP Servers with leading AI platforms to build powerful AI agents

# AI Platform Integrations

Klavis AI seamlessly integrates with leading AI platforms, enabling you to build sophisticated AI agents that can interact with external services and APIs via MCP.

## Available Integrations

> [card] [Agno](https://www.klavis.ai/docs/ai-platform-integration/agno.md)

> [card] [Claude](https://www.klavis.ai/docs/ai-platform-integration/claude.md)

> [card] [Cohere](https://www.klavis.ai/docs/ai-platform-integration/cohere.md)

> [card] [CrewAI](https://www.klavis.ai/docs/ai-platform-integration/crewai.md)

> [card] [Fireworks AI](https://www.klavis.ai/docs/ai-platform-integration/fireworks-ai.md)

> [card] [Gemini](https://www.klavis.ai/docs/ai-platform-integration/gemini.md)

> [card] [Google ADK](https://www.klavis.ai/docs/ai-platform-integration/google-adk.md)

> [card] [LangChain](https://www.klavis.ai/docs/ai-platform-integration/langchain.md)

> [card] [LlamaIndex](https://www.klavis.ai/docs/ai-platform-integration/llamaindex.md)

> [card] [Mastra](https://www.klavis.ai/docs/ai-platform-integration/mastra.md)

> [card] [Mistral AI](https://www.klavis.ai/docs/ai-platform-integration/mistral.md)

> [card] [OpenAI](https://www.klavis.ai/docs/ai-platform-integration/openai.md)

> [card] [Together AI](https://www.klavis.ai/docs/ai-platform-integration/together-ai.md)

## How It Works

The integration pattern is consistent across all AI platforms:

1. **Setup**: Configure your AI platform API key and Klavis API key
2. **MCP Instance**: Create MCP server instances for the services you need (YouTube, Gmail, Slack, etc.)
3. **Agent Creation**: Build an AI agent that discovers available tools from MCP servers
4. **Function Calling**: The AI platform's LLM decides which tools to use based on user requests
5. **Tool Execution**: Tools are executed through Klavis API to remote MCP Servers and results are returned to the LLM
6. **Smart Response**: The LLM generates intelligent responses based on tool results

## Common Use Cases

> [card] Content Analysis
>
> Summarize YouTube videos, analyze documents, extract insights from web content

> [card] Communication
>
> Send emails, post to Slack, create calendar events, manage contacts

> [card] Data Management
>
> Query databases, update spreadsheets, sync information across platforms

> [card] Project Management
>
> Create tickets in Jira, update Notion pages, manage Asana tasks

> [card] Research & Development
>
> Web search, document analysis, code generation, API integrations

> [card] Business Automation
>
> CRM updates, sales workflows, customer support, reporting

## Getting Started

**1. Choose Your AI Platform**

Select the AI platform that best fits your needs from our available integrations

**2. Get API Keys**

Obtain API keys from both your chosen AI platform and Klavis AI

**3. Follow the Guide**

Use our step-by-step integration guides to build your first AI agent

**4. Expand Capabilities**

Add more MCP servers to give your agent access to additional tools and services

Ready to build intelligent AI agents? Choose your preferred AI platform and start building!


This documentation is built and hosted on [Mintlify](https://mintlify.com), a developer documentation platform.