This repository provides example implementations of MCP (Model Context Protocol) Streamable HTTP client and server in Python and Typescript, based on the specification: 📄 MCP Streamable HTTP Spec.

You can set up a client + server stack entirely using either Python or TypeScript. This example also demonstrates cross-language compatibility, allowing a Python client to communicate with a TypeScript server, and vice-versa.

git clone https://github.com/invariantlabs-ai/mcp-streamable-http.git
cd python-example

Update the .env file inside the python-example/client directory with the following content:

ANTHROPIC_API_KEY=your_api_key_here

cd python-example/server
pip install .
python weather.py

By default, the server will start at http://localhost:8123.
If you'd like to specify a different port, use the --port flag:

python weather.py --port=9000

cd ../client
pip install .

python client.py

This will start an interactive chat loop using the MCP Streamable HTTP protocol.
If you started the MCP server on a different port, specify it using the --mcp-localhost-port flag:

python client.py --mcp-localhost-port=9000

Update the .env file inside the typescript-example/client directory with the following content:

ANTHROPIC_API_KEY=your_api_key_here

cd typescript-example/server
npm install && npm run build
node build/index.js

By default, the server will start at http://localhost:8123.
If you'd like to specify a different port, use the --port flag:

node build/index.js --port=9000

cd ../client
npm install && npm run build

node build/index.js

This will start an interactive chat loop using the MCP Streamable HTTP protocol.
If you started the MCP server on a different port, specify it using the --mcp-localhost-port flag:

node build/index.js --mcp-localhost-port=9000

In the client chat interface, you can ask questions like:

• "Are there any weather alerts in Sacramento?"
• "What’s the weather like in New York City?"
• "Tell me the forecast for Boston tomorrow."

The client will forward requests to the local MCP weather server and return the results using Anthropic’s Claude language model. The MCP transport layer used will be Streamable HTTP.