Connectto Postgres, LinkedIn, Dropbox MCP Servers

Create powerful AI workflows by connecting multiple MCP servers including Postgres, LinkedIn, Dropbox with Claude's advanced reasoning capabilities in Klavis AI.

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Postgres

featured

PostgreSQL is a powerful, open source object-relational database system

Available Tools:

query

coming soon

LinkedIn is a business and employment-oriented online service

Dropbox

coming soon

Dropbox is a file hosting service that offers cloud storage and file synchronization

Quick Setup Guide

Follow these steps to connect Claude to these MCP servers

Create Your Account

Configure Connections

Add your desired MCP servers to Claude and configure authentication settings with your Anthropic API key.

Test & Deploy

Verify your connections work correctly with Claude's function calling and start using your enhanced AI capabilities.

Claude + KlavisAI Integration Snippets

View Documentation

import os
import json
from anthropic import Anthropic
from klavis import Klavis
from klavis.types import McpServerName, ConnectionType, ToolFormat

# Initialize clients
anthropic_client = Anthropic(api_key=os.getenv("ANTHROPIC_API_KEY"))
klavis_client = Klavis(api_key=os.getenv("KLAVIS_API_KEY"))

# Constants
CLAUDE_MODEL = "claude-3-5-sonnet-20241022"
user_message = "Your message here"

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

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

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

# Get tools from all MCP servers
postgres_tools = klavis_client.mcp_server.list_tools(
    server_url=postgres_mcp_instance.server_url,
    connection_type=ConnectionType.STREAMABLE_HTTP,
    format=ToolFormat.ANTHROPIC,
)
linkedin_tools = klavis_client.mcp_server.list_tools(
    server_url=linkedin_mcp_instance.server_url,
    connection_type=ConnectionType.STREAMABLE_HTTP,
    format=ToolFormat.ANTHROPIC,
)
dropbox_tools = klavis_client.mcp_server.list_tools(
    server_url=dropbox_mcp_instance.server_url,
    connection_type=ConnectionType.STREAMABLE_HTTP,
    format=ToolFormat.ANTHROPIC,
)

# Combine all tools
all_tools = []
all_tools.extend(postgres_tools.tools)
all_tools.extend(linkedin_tools.tools)
all_tools.extend(dropbox_tools.tools)

messages = [
    {"role": "user", "content": user_message}
]
        
response = anthropic_client.messages.create(
    model=CLAUDE_MODEL,
    max_tokens=4000,
    messages=messages,
    tools=all_tools
)

Frequently Asked Questions

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ConnectClaudeto Postgres, LinkedIn, Dropbox MCP Servers