MCP Server Tester Po4
M

MCP Server Tester Po4

The MCP Server Testing Tool is a configuration-driven testing solution for verifying, benchmarking, and ensuring the reliability of MCP servers integrated with AI models. It supports automatic tool discovery, generation of intelligent test cases, execution of validation, and generation of detailed reports.
2.5 points
8.7K

What is the MCP Server Testing Tool?

The MCP Server Testing Tool is a powerful configuration-driven testing tool specifically designed for verifying, benchmarking, and ensuring the reliability of MCP servers. It helps developers ensure that their MCP servers correctly follow protocol specifications when integrating AI models.

How to use the MCP Server Testing Tool?

Define the MCP server through a simple configuration file and then run the testing tool to start the test. It supports multiple connection methods and automatically generates test cases.

Applicable Scenarios

Suitable for MCP server developers, AI integration teams, and quality assurance professionals to ensure the robustness and reliability of MCP implementations.

Main Features

Automatic Discovery Tool
Automatically identify all available tools on the MCP server.
Generate Intelligent Test Cases
Use Claude AI to generate context-related intelligent test cases.
Response Validation
Verify whether the responses returned by the MCP server meet the expected standards.
Multi-format Reports
Generate detailed console, JSON, or HTML reports.
Advantages
Supports multiple connection methods and configuration ways.
Automatic discovery and generation of test cases reduce manual intervention.
Provides detailed test reports for easy problem location and performance optimization.
Based on JSON configuration, easy to expand and maintain.
Limitations
Currently still in the development stage, there may be some functions not fully covered.
Requires an Anthropic API key, increasing the complexity of initial setup.
Users unfamiliar with Node.js may need a certain learning cost.

How to Use

Install Dependencies
After cloning the repository, install the necessary Node.js dependencies.
Create a Configuration File
Use the default configuration template or a custom configuration file.
Run the Test
Execute the testing tool and generate a report.

Usage Examples

Basic Configuration and Testing
Create a default configuration file and run the test.
Test the Local Development Version
Configure the local development environment and run the test.

Frequently Asked Questions

How to manage API keys?
Why can't I connect to the MCP server?
How to generate more test cases?

Related Resources

GitHub Repository
Project source code and documentation.
Official Documentation
Detailed usage instructions and API reference.

Installation

Copy the following command to your Client for configuration
{
  "numTestsPerTool": 3,
  "timeoutMs": 10000,
  "outputFormat": "console",
  "outputPath": "./reports/results.json",
  "verbose": false,
  "mcpServers": {
    "filesystem": {
      "command": "npx",
      "args": ["-y", "@modelcontextprotocol/server-filesystem", "./"],
      "env": {
        "DEBUG": "true"
      }
    },
    "github": {
      "command": "npx",
      "args": ["-y", "@modelcontextprotocol/server-github"],
      "env": {
        "GITHUB_PERSONAL_ACCESS_TOKEN": "your-github-token-here"
      }
    },
    "dev-server": {
      "command": "node",
      "args": ["/absolute/path/to/your/dev-server.js"],
      "env": {
        "DEBUG": "true",
        "NODE_ENV": "development"
      }
    }
  }
}

{
  "servers": ["filesystem", "dev-server"],
  "numTestsPerTool": 3,
  // other settings...
  "mcpServers": {
    // server definitions...
  }
}

{
  "mcpServers": {
    "my-dev-server": {
      "command": "node",
      "args": ["/path/to/your/project/dist/server.js"],
      "env": {
        "DEBUG": "true",
        "NODE_ENV": "development"
      }
    }
  }
}
Note: Your key is sensitive information, do not share it with anyone.

Alternatives

V
Vestige
Vestige is an AI memory engine based on cognitive science. By implementing 29 neuroscience modules such as prediction error gating, FSRS - 6 spaced repetition, and memory dreaming, it provides long - term memory capabilities for AI. It includes a 3D visualization dashboard and 21 MCP tools, runs completely locally, and does not require the cloud.
Rust
10.5K
4.5 points
M
Moltbrain
MoltBrain is a long-term memory layer plugin designed for OpenClaw, MoltBook, and Claude Code, capable of automatically learning and recalling project context, providing intelligent search, observation recording, analysis statistics, and persistent storage functions.
TypeScript
10.1K
4.5 points
B
Bm.md
A feature-rich Markdown typesetting tool that supports multiple style themes and platform adaptation, providing real-time editing preview, image export, and API integration capabilities
TypeScript
14.8K
5 points
S
Security Detections MCP
Security Detections MCP is a server based on the Model Context Protocol that allows LLMs to query a unified security detection rule database covering Sigma, Splunk ESCU, Elastic, and KQL formats. The latest version 3.0 is upgraded to an autonomous detection engineering platform that can automatically extract TTPs from threat intelligence, analyze coverage gaps, generate SIEM-native format detection rules, run tests, and verify. The project includes over 71 tools, 11 pre-built workflow prompts, and a knowledge graph system, supporting multiple SIEM platforms.
TypeScript
6.7K
4 points
P
Paperbanana
Python
8.9K
5 points
B
Better Icons
An MCP server and CLI tool that provides search and retrieval of over 200,000 icons, supports more than 150 icon libraries, and helps AI assistants and developers quickly obtain and use icons.
TypeScript
9.7K
4.5 points
A
Assistant Ui
assistant - ui is an open - source TypeScript/React library for quickly building production - grade AI chat interfaces, providing composable UI components, streaming responses, accessibility, etc., and supporting multiple AI backends and models.
TypeScript
10.0K
5 points
A
Apify MCP Server
The Apify MCP Server is a tool based on the Model Context Protocol (MCP) that allows AI assistants to extract data from websites such as social media, search engines, and e-commerce through thousands of ready-to-use crawlers, scrapers, and automation tools (Apify Actors). It supports OAuth and Skyfire proxy payment and can be integrated into MCP clients such as Claude and VS Code through HTTPS endpoints or local stdio.
TypeScript
9.7K
5 points
G
Gitlab MCP Server
Certified
The GitLab MCP server is a project based on the Model Context Protocol that provides a comprehensive toolset for interacting with GitLab accounts, including code review, merge request management, CI/CD configuration, and other functions.
TypeScript
28.3K
4.3 points
M
Markdownify MCP
Markdownify is a multi-functional file conversion service that supports converting multiple formats such as PDFs, images, audio, and web page content into Markdown format.
TypeScript
39.1K
5 points
D
Duckduckgo MCP Server
Certified
The DuckDuckGo Search MCP Server provides web search and content scraping services for LLMs such as Claude.
Python
80.1K
4.3 points
N
Notion Api MCP
Certified
A Python-based MCP Server that provides advanced to-do list management and content organization functions through the Notion API, enabling seamless integration between AI models and Notion.
Python
24.8K
4.5 points
U
Unity
Certified
UnityMCP is a Unity editor plugin that implements the Model Context Protocol (MCP), providing seamless integration between Unity and AI assistants, including real - time state monitoring, remote command execution, and log functions.
C#
38.4K
5 points
F
Figma Context MCP
Framelink Figma MCP Server is a server that provides access to Figma design data for AI programming tools (such as Cursor). By simplifying the Figma API response, it helps AI more accurately achieve one - click conversion from design to code.
TypeScript
69.4K
4.5 points
G
Gmail MCP Server
A Gmail automatic authentication MCP server designed for Claude Desktop, supporting Gmail management through natural language interaction, including complete functions such as sending emails, label management, and batch operations.
TypeScript
24.9K
4.5 points
C
Context7
Context7 MCP is a service that provides real-time, version-specific documentation and code examples for AI programming assistants. It is directly integrated into prompts through the Model Context Protocol to solve the problem of LLMs using outdated information.
TypeScript
107.6K
4.7 points
AIBase
Zhiqi Future, Your AI Solution Think Tank
© 2026AIBase