Connect the MCP-Server with your AI applications!

Step-by-step guides to integrate your MCP-Server with various AI applications.

Transport Protocol: SSE

6 snippets available

ChatGPT

SSE

Learn how to connect your MCP-Server to ChatGPT

Snippet not found

Mistral

SSE

Learn how to connect your MCP-Server to Mistral

Snippet not found

Claude

SSE

Learn how to connect your MCP-Server to Claude

Snippet not found

OpenAI Playground

SSE

Connect your SSE MCP-Server to OpenAI using the playground.

Requirements:

Your containerized server is installed on your server and is using a valid SSL certificate.

1

Start your MCP-Server (Only necessary for On-Premise Setup)

a. Unzip the downloaded zip file.

b. Use the shipped docker-compose.yaml file or create one yourself.

c. Open the docker-compose.yaml file and check for any environment variables that you might need to replace

d. Start your container using the included start.bat or start.sh files or start the containerized compose yourself using:

# Run on windows: 
start.bat
# Run on linux: 
start.sh
# Run with docker-compose: 
docker-compose up
# Run with podman-compose: 
podman-compose up

e. Verify the logs to see if your MCP-Server started successfully

3

Add MCP-Server

Click on Tools: "Add"

Add MCP-Server

Add the URL to your MCP-Server using: "https://www.example.com/sse". The /sse must be added.

Add credentials

If your MCP-Server is secured with authentification, then set the credentials under Authentification.

When everything works, you will see the tools available in your MCP-Server.

MCP-Server is connected
3

Add a system message and prompt

No add the wanted system message and test your MCP-Server connection

Test with prompts

OpenAI SDK

SSE

Connect your SSE MCP-Server using the OpenAI SDK

Requirements:

Your application must use the OpenAI SDK

The server or local machine has is able to run containerized apps with podman or docker.

1

Start your MCP-Server (Only necessary for On-Premise Setup)

a. Unzip the downloaded zip file.

b. Use the shipped docker-compose.yaml file or create one yourself.

c. Open the docker-compose.yaml file and check for any environment variables that you might need to replace

d. Start your container using the included start.bat or start.sh files or start the containerized compose yourself using:

# Run on windows: 
start.bat
# Run on linux: 
start.sh
# Run with docker-compose: 
docker-compose up
# Run with podman-compose: 
podman-compose up

e. Verify the logs to see if your MCP-Server started successfully

2

Add your MCP-Server

Add your MCP-Server to your OpenAI SDK code:

from openai import OpenAI

client = OpenAI()

resp = client.responses.create(
    model="gpt-4.1",
    tools=[{
        "type": "mcp",
        "server_label": "your_project_name",
        "server_url": "https://www.linktoyourserver.com/mcp",
    }]
)

MCP Inspector

SSE

Debug your SSE MCP-Server

Requirements:

npx is installed NPX

The server or local machine has is able to run containerized apps with podman or docker.

1

Start your MCP-Server (Only necessary for On-Premise Setup)

a. Unzip the downloaded zip file.

b. Use the shipped docker-compose.yaml file or create one yourself.

c. Open the docker-compose.yaml file and check for any environment variables that you might need to replace

d. Start your container using the included start.bat or start.sh files or start the containerized compose yourself using:

# Run on windows: 
start.bat
# Run on linux: 
start.sh
# Run with docker-compose: 
docker-compose up
# Run with podman-compose: 
podman-compose up

e. Verify the logs to see if your MCP-Server started successfully

2

Start & Open MCP Inspector

Open the terminal and run:

npx @modelcontextprotocol/inspector

Get more infos at:MCP-Inspector

Run MCP-Inspector
4

Connect with your SSE Server

Enter the url to your SSE Server

If your SSE Server requires any additional header parameters or secrets you have to add them under Authentication.

MCP-Inspector will send all Header Parameters in lower-case. MCP-Builder.ai is handling input parameters case-sensitive - meaning you must make PARAM(xx) values in your specs operation configuration files´s lower case as well.

MCP Inspector Dashboard

Transport Protocol: SDK

5 snippets available

Python SDK

SDK

Integrate your MCP-Server using the Python SDK

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TypeScript SDK

SDK

Integrate your MCP-Server using the TypeScript SDK

Snippet not found

Claude Code MCP

SDK

Connect your MCP server to Claude Code with a single command

Snippet not found

Claude Code Skill

SDK

Use Claude Code skills to integrate your MCP server into any project

Snippet not found

Lovable

SDK

Build an AI chat app with Lovable using your MCP server

Snippet not found