kotlin-sdk/samples/kotlin-mcp-client/README.md
Pavel Gorgulov 0b39f57cff
docs: streamable server sample (#595)
- add a simple streamable http server example with auth
- update readme: replace quickstart example from sse server to
streamable server
- add readme files for samples, simple-streamable-server, notebooks

closes #170 

## How Has This Been Tested?
knit and inspector

## Breaking Changes
NaN

## Types of changes
- [ ] Bug fix (non-breaking change which fixes an issue)
- [ ] New feature (non-breaking change which adds functionality)
- [ ] Breaking change (fix or feature that would cause existing
functionality to change)
- [x] Documentation update

## Checklist
- [x] I have read the [MCP
Documentation](https://modelcontextprotocol.io)
- [x] My code follows the repository's style guidelines
- [x] New and existing tests pass locally
- [ ] I have added appropriate error handling
- [x] I have added or updated documentation as needed
2026-03-10 12:45:21 +01:00

1.6 KiB

Kotlin MCP Client

An interactive CLI client that connects to any MCP server over STDIO and pipes queries through Anthropic's Claude API.

Overview

This sample demonstrates a complete MCP client workflow: launching an MCP server as a subprocess, discovering its tools, converting them to Anthropic's tool format, and running an interactive chat loop where Claude can call server tools on behalf of the user.

Prerequisites

  • JDK 17+
  • An ANTHROPIC_API_KEY environment variable set with a valid Anthropic API key
  • An MCP server script to connect to (.js, .py, or .jar)

Build & Run

Run the client, passing the path to an MCP server:

# Connect to a JVM server
./gradlew run --args="path/to/server.jar"

# Connect to a Python server
./gradlew run --args="path/to/server.py"

# Connect to a Node.js server
./gradlew run --args="path/to/build/index.js"

Note

The client uses STDIO transport, so it launches the MCP server as a subprocess. Ensure the server script is executable and is a valid .js, .py, or .jar file.

MCP Capabilities

From the client perspective, this sample demonstrates:

  • Tool discovery — lists tools from the connected server and converts them to Anthropic's tool format.
  • Tool invocation — when Claude's response requests a tool call, the client invokes the corresponding MCP tool and feeds the result back into the conversation.

Additional Resources