Klavis

Klavis

One MCP server for AI agents to handle thousands of tools.

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Klavis provides an MCP (Model Context Protocol) server with over 100 prebuilt integrations for AI agents, enabling seamless connectivity with various tools and services. It offers both cloud-hosted and self-hosted deployment options and includes out-of-the-box OAuth support for secure authentication. Klavis is designed to act as an intelligent connector, streamlining workflow automation and enhancing agent capability through standardized context management.

Key Features

MCP-compliant server for AI agent integration
100+ prebuilt tool and service integrations
Cloud-hosted and self-hosted deployment options
OAuth authentication support
Easy quickstart guides and documentation
Intelligent connector for AI workflows
Standardized context management
Out-of-the-box support for popular platforms
Scalable infrastructure for thousands of tools
Modular architecture for extensibility

Use Cases

Connecting AI agents to external APIs and services
Automating business workflows using agent integrations
Building production-scale agent systems with multiple tool access
Streamlining OAuth-secured integrations for enterprise scenarios
Rapid prototyping and deploying complex agent workflows
Enabling standardized context sharing across AI models
Enhancing agent capabilities with out-of-the-box connectors
Deploying self-hosted solutions for data privacy
Integrating with SaaS tools and productivity platforms
Orchestrating large-scale tool usage with AI agents

README

Documentation Website Discord

🎯 Choose Your Solution

Quick Start

Option 1: Cloud-hosted - klavis.ai

Quickstart guide →

Option 2: Self-host

bash
# Run any MCP Integration
docker pull ghcr.io/klavis-ai/github-mcp-server:latest
docker run -p 5000:5000 ghcr.io/klavis-ai/github-mcp-server:latest

# Install Open Source Strata locally
pipx install strata-mcp
strata add --type stdio playwright npx @playwright/mcp@latest

Option 3: SDK

python
# Python SDK
from klavis import Klavis
from klavis.types import McpServerName

klavis = Klavis(api_key="your-key")

# Create Strata instance
strata = klavis_client.mcp_server.create_strata_server(
    user_id="user123",
    servers=[McpServerName.GMAIL, McpServerName.SLACK],
)

# Or use individual MCP servers
gmail = klavis.mcp_server.create_server_instance(
    server_name=McpServerName.GMAIL,
    user_id="user123",
)
typescript
// TypeScript SDK
import { KlavisClient, McpServerName } from 'klavis';

const klavis = new KlavisClient({ apiKey: 'your-api-key' });

// Create Strata instance
const strata = await klavis.mcpServer.createStrataServer({
    userId: "user123",
    servers: [Klavis.McpServerName.Gmail, Klavis.McpServerName.Slack],
});

// Or use individual MCP servers
const gmail = await klavis.mcpServer.createServerInstance({
    serverName: McpServerName.GMAIL,
    userId: "user123"
});

Option 4: REST API

bash
# Create Strata server
curl -X POST "https://api.klavis.ai/v1/mcp-server/strata" \
  -H "Authorization: Bearer your-api-key" \
  -H "Content-Type: application/json" \
  -d '{
    "user_id": "user123",
    "servers": ["GMAIL", "SLACK"]
  }'

# Create individual MCP server
curl -X POST "https://api.klavis.ai/v1/mcp-server/instance" \
  -H "Authorization: Bearer your-api-key" \
  -H "Content-Type: application/json" \
  -d '{
    "server_name": "GMAIL",
    "user_id": "user123"
  }'

Resources


Star History

Star History Chart

Repository Owner

Klavis-AI
Klavis-AI

Organization

Repository Details

Language Python
Default Branch main
Size 41,983 KB
Contributors 30
License Apache License 2.0
MCP Verified Nov 12, 2025

Programming Languages

Python
71.06%
TypeScript
17.08%
Go
6.62%
JavaScript
4.18%
Dockerfile
0.89%
Shell
0.16%

Tags

Topics

agents ai ai-agents api developer-tools discord function-calling integration llm mcp mcp-client mcp-server oauth2 open-source

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