About Streamable HTTP
Streamable HTTP is an MCP server published by invariantlabs-ai in the Developer Tools category: example implementation of MCP Streamable HTTP client/server in Python and TypeScript.
The repository has 131 stars and 38 forks, with the last commit a year ago. Six months or more without a commit doesn't mean the server is broken, but check the open issues before depending on it in production.
Install
git clone https://github.com/invariantlabs-ai/mcp-streamable-httpThis server has no ConduID identity, so agent calls to it are not receipted. Pin the version you install and review the source before granting it credentials.
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README
MCP Streamable HTTP – Python and Typescript Examples
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.
🚀 Getting Started
1. Clone the Repository
git clone https://github.com/invariantlabs-ai/mcp-streamable-http.git
cd python-example
2. Python Example
1. Add Your Anthropic API Key
Update the .env file inside the python-example/client directory with the following content:
ANTHROPIC_API_KEY=your_api_key_here
2. Set Up the Server
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
3. Set Up the Client
cd ../client
pip install .
4. Run the Client
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
3. Typescript Example
1. Add Your Anthropic API Key
Update the .env file inside the typescript-example/client directory with the following content:
ANTHROPIC_API_KEY=your_api_key_here
2. Set Up the Server
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
3. Set Up the Client
cd ../client
npm install && npm run build
4. Run the Client
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
💬 Example Queries
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.
README fetched from the repository 4 days ago. The original is authoritative.