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MCP Test Client

MCP Server

Simplified testing for Model Context Protocol servers

Stale(60)
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Updated Sep 9, 2025

About

A lightweight TypeScript client that launches MCP servers, lists available tools, performs tool calls, and provides assertion utilities for validating responses. Ideal for developers testing MCP implementations.

Capabilities

Resources
Access data sources
Tools
Execute functions
Prompts
Pre-built templates
Sampling
AI model interactions

Overview

The MCP Test Client is a dual‑purpose middleware that bridges the gap between AI assistants like Claude and developers building new MCP servers. Instead of registering a server directly with Claude, developers can register the Test Client itself as an MCP server. The client then acts on behalf of Claude, exposing a set of tools that allow the assistant to deploy, invoke, and test other MCP servers locally. This approach eliminates the need for early formal registration, enabling rapid iteration and debugging in isolated test environments.

What makes this tool valuable is its end‑to‑end testing pipeline. Developers can package a new MCP server, deploy it through the Test Client’s tool, and immediately invoke any of its tools using . The client captures responses, validates them against expected schemas, and logs detailed diagnostics. This tight feedback loop reduces the time from code commit to functional validation, especially when working with complex toolchains or stateful services.

Key capabilities include:

  • Process Management – automatically spawns and terminates server processes, ensuring isolation between test runs.
  • Custom Stdio Transport – uses a lightweight standard‑input/output channel to communicate with servers, avoiding network overhead during local testing.
  • Automated Test Suites runs predefined scenarios that exercise each tool, flagging failures before a server is formally registered.
  • Log Inspection streams the last N lines of a server’s output, aiding quick diagnosis.
  • Server Registry and give developers a clear view of active deployments.

Typical use cases span the entire MCP development lifecycle. In early prototyping, a team can spin up a new server in a playground directory and immediately test its toolset via Claude. During continuous integration, automated pipelines can deploy the server through the Test Client, run comprehensive tests, and report results. When a server is ready for production, developers simply migrate the codebase to the official repository and register it with Claude, confident that all edge cases were handled beforehand.

Integration is seamless: the Test Client registers as a standard MCP server, so any AI assistant that understands MCP can invoke its tools just like it would call native system commands. The middleware abstracts away the complexities of process orchestration, allowing developers to focus on tool logic rather than deployment plumbing. Its design also anticipates future enhancements—Docker‑based containerization, richer validation frameworks, and migration utilities—making it a forward‑looking foundation for robust MCP server development.