Connectto OpenRouter, Heygen, Mem0 MCP Servers
Create powerful AI workflows by connecting multiple MCP servers including OpenRouter, Heygen, Mem0 for enhanced automation capabilities in Klavis AI.
OpenRouter
Access to multiple AI models through a unified API. Generate chat completions, compare model performance, manage usage and costs, get model recommendations, and analyze model capabilities across various providers like OpenAI, Anthropic, Meta, Google, and more
Available Tools:
- openrouter_list_models
- openrouter_search_models
- openrouter_get_model_pricing
- +11 more tools
Heygen
HeyGen is an AI video generation platform that creates professional videos with AI avatars and voices. Generate avatar videos with customizable text, voices, and avatars, manage your video library, and track generation status
Available Tools:
- heygen_get_remaining_credits
- heygen_get_voices
- heygen_get_voice_locales
- +7 more tools
Mem0
Mem0 is an intelligent memory layer for AI applications that provides long-term memory storage and retrieval. Store code snippets, implementation details, and programming knowledge for seamless context retention across conversations
Available Tools:
- mem0_add_memory
- mem0_get_all_memories
- mem0_search_memories
- +2 more tools
Quick Setup Guide
Follow these steps to connect LlamaIndex to these MCP servers
Create Your Account
Sign up for KlavisAI to access our MCP server management platform.
Configure Connections
Add your desired MCP servers to LlamaIndex and configure authentication settings.
Test & Deploy
Verify your connections work correctly and start using your enhanced AI capabilities.
LlamaIndex + KlavisAI Integration Snippets
import os
from klavis import Klavis
from klavis.types import McpServerName, ConnectionType
from llama_index.tools.mcp import (
BasicMCPClient,
get_tools_from_mcp_url,
aget_tools_from_mcp_url,
)
from llama_index.core.agent.workflow import FunctionAgent, AgentWorkflow
# Initialize clients
klavis_client = Klavis(api_key=os.getenv("KLAVIS_API_KEY"))
openrouter_mcp_instance = klavis_client.mcp_server.create_server_instance(
server_name=McpServerName.OPENROUTER,
user_id="1234",
platform_name="Klavis",
connection_type=ConnectionType.STREAMABLE_HTTP,
)
heygen_mcp_instance = klavis_client.mcp_server.create_server_instance(
server_name=McpServerName.HEYGEN,
user_id="1234",
platform_name="Klavis",
connection_type=ConnectionType.STREAMABLE_HTTP,
)
mem0_mcp_instance = klavis_client.mcp_server.create_server_instance(
server_name=McpServerName.MEM0,
user_id="1234",
platform_name="Klavis",
connection_type=ConnectionType.STREAMABLE_HTTP,
)
openrouter_tools = await aget_tools_from_mcp_url(
openrouter_mcp_instance.server_url,
client=BasicMCPClient(openrouter_mcp_instance.server_url)
)
heygen_tools = await aget_tools_from_mcp_url(
heygen_mcp_instance.server_url,
client=BasicMCPClient(heygen_mcp_instance.server_url)
)
mem0_tools = await aget_tools_from_mcp_url(
mem0_mcp_instance.server_url,
client=BasicMCPClient(mem0_mcp_instance.server_url)
)
openrouter_agent = FunctionAgent(
name="openrouter_agent",
tools=openrouter_tools,
llm=llm,
)
heygen_agent = FunctionAgent(
name="heygen_agent",
tools=heygen_tools,
llm=llm,
)
mem0_agent = FunctionAgent(
name="mem0_agent",
tools=mem0_tools,
llm=llm,
)
workflow = AgentWorkflow(
agents=[openrouter_agent, heygen_agent, mem0_agent],
root_agent="openrouter_agent",
)Frequently Asked Questions
Everything you need to know about connecting to these MCP servers
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