Connectto WordPress, Postgres, Figma MCP Servers

Create powerful AI workflows by connecting multiple MCP servers including WordPress, Postgres, Figma for enhanced automation capabilities in Klavis AI.

WordPress icon

WordPress

featured

WordPress is an open-source content management system for building websites and blogs

Available Tools:

  • wordpress_create_post
  • wordpress_get_posts
  • wordpress_update_post
  • +4 more tools
Postgres icon

Postgres

featured

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

Available Tools:

  • query
Figma icon

Figma

featured

Figma is a collaborative interface design tool for web and mobile applications.

Quick Setup Guide

Follow these steps to connect LangChain 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 LangChain and configure authentication settings.

3

Test & Deploy

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

LangChain + KlavisAI Integration Snippets

import os
import asyncio
from klavis import Klavis
from klavis.types import McpServerName, ConnectionType
from langchain_mcp_adapters.client import MultiServerMCPClient
from langgraph.prebuilt import create_react_agent
from langchain_openai import ChatOpenAI

# Initialize clients
klavis_client = Klavis(api_key=os.getenv("KLAVIS_API_KEY"))
llm = ChatOpenAI(model="gpt-4o-mini", api_key=os.getenv("OPENAI_API_KEY"))

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

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,
)

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

mcp_client = MultiServerMCPClient({
    "wordpress": {
        "transport": "streamable_http",
        "url": wordpress_mcp_instance.server_url
    },
    "postgres": {
        "transport": "streamable_http",
        "url": postgres_mcp_instance.server_url
    },
    "figma": {
        "transport": "streamable_http",
        "url": figma_mcp_instance.server_url
    }
})

tools = asyncio.run(mcp_client.get_tools())

agent = create_react_agent(
    model=llm,
    tools=tools,
)

response = asyncio.run(agent.ainvoke({
    "messages": [{"role": "user", "content": "Your query here"}]
}))

Frequently Asked Questions

Everything you need to know about connecting to these MCP servers

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