Connectto Salesforce, Brave Search, OpenRouter MCP Servers

Create powerful AI workflows by connecting multiple MCP servers including Salesforce, Brave Search, OpenRouter for enhanced automation capabilities in Klavis AI.

Salesforce icon

Salesforce

featured

Salesforce is the world's leading customer relationship management (CRM) platform that helps businesses connect with customers, partners, and potential customers

Available Tools:

  • salesforce_get_accounts
  • salesforce_create_account
  • salesforce_update_account
  • +24 more tools
Brave Search icon

Brave Search

featured

Brave Search is a search engine that provides comprehensive web, image, news, and video search.

Available Tools:

  • brave_web_search
  • brave_image_search
  • brave_news_search
  • +1 more tools
OpenRouter icon

OpenRouter

featured

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

Quick Setup Guide

Follow these steps to connect Together AI to these MCP servers

1

Create Your Account

Sign up for KlavisAI to access our MCP server management platform.

2

Configure Connections

Add your desired MCP servers to Together AI and configure authentication settings.

3

Test & Deploy

Verify your connections work correctly and start using your enhanced AI capabilities.

Together AI + KlavisAI Integration Snippets

import os
import json
from together import Together
from klavis import Klavis
from klavis.types import McpServerName, ConnectionType, ToolFormat

# Initialize clients
together_client = Together(api_key=os.getenv("TOGETHER_API_KEY"))
klavis_client = Klavis(api_key=os.getenv("KLAVIS_API_KEY"))

salesforce_mcp_instance = klavis_client.mcp_server.create_server_instance(
    server_name=McpServerName.SALESFORCE,
    user_id="1234",
    platform_name="Klavis",
    connection_type=ConnectionType.STREAMABLE_HTTP,
)

brave_search_mcp_instance = klavis_client.mcp_server.create_server_instance(
    server_name=McpServerName.BRAVE_SEARCH,
    user_id="1234",
    platform_name="Klavis",
    connection_type=ConnectionType.STREAMABLE_HTTP,
)

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,
)

# Get all MCP tools
salesforce_tools = klavis_client.mcp_server.list_tools(
    server_url=salesforce_mcp_instance.server_url,
    connection_type=ConnectionType.STREAMABLE_HTTP,
    format=ToolFormat.OPENAI,
)
brave_search_tools = klavis_client.mcp_server.list_tools(
    server_url=brave_search_mcp_instance.server_url,
    connection_type=ConnectionType.STREAMABLE_HTTP,
    format=ToolFormat.OPENAI,
)
openrouter_tools = klavis_client.mcp_server.list_tools(
    server_url=openrouter_mcp_instance.server_url,
    connection_type=ConnectionType.STREAMABLE_HTTP,
    format=ToolFormat.OPENAI,
)

# Combine all tools
all_tools = []
all_tools.extend(salesforce_tools.tools)
all_tools.extend(brave_search_tools.tools)
all_tools.extend(openrouter_tools.tools)

messages = [
    {"role": "system", "content": "You are a helpful AI assistant with access to multiple data sources."},
    {"role": "user", "content": user_message}
]

response = together_client.chat.completions.create(
    model="meta-llama/Llama-2-70b-chat-hf",
    messages=messages,
    tools=all_tools
)

Frequently Asked Questions

Everything you need to know about connecting to these MCP servers

Ready to Get Started?

Join developers who are already using KlavisAI to power their Together AI applications with these MCP servers.

Start For Free