BlazeMeter
Official BlazeMeter MCP Server for AI-driven performance testing
What is BlazeMeter?
BlazeMeter is a Model Context Protocol (MCP) server that allows AI assistants like Claude, Cursor, and VS Code to official blazemeter mcp server for ai-driven performance testing
Official BlazeMeter MCP Server for AI-driven performance testing
This server falls under the Monitoring & Observability category on MCPgee, the world's largest MCP server directory with 33,000+ servers.
Features
- Official BlazeMeter MCP Server for AI-driven performance tes
Use Cases
Maintainer
Works with
Installation
Manual Installation
npx bzmConfiguration
Configuration Details
claude_desktop_config.json
Performance
Response Metrics
Resource Usage
How to Set Up and Use BlazeMeter
The BlazeMeter MCP server is the official integration that lets AI assistants manage complete load testing workflows on the BlazeMeter cloud platform through natural language. It connects to the BlazeMeter API using your API credentials and enables agents to create, run, monitor, and analyze performance tests without leaving your AI chat interface. Teams running CI/CD performance gates or iterating on load test configurations benefit from being able to describe test scenarios conversationally and get results analyzed automatically.
Prerequisites
- A BlazeMeter account with API credentials (API Key ID and Secret from the BlazeMeter UI)
- Python 3.8+ and uvx installed (for source/uvx installation), or Docker for container-based setup
- An MCP-compatible client such as Claude Desktop or Claude Code
- BlazeMeter API key JSON file (api-keys.json) for binary/uvx installs
- Network access to BlazeMeter's cloud API endpoints
Obtain your BlazeMeter API credentials
Log in to BlazeMeter and navigate to Settings > API Keys. Create a new API key and note the Key ID and Secret. For uvx/binary installs, save these in an api-keys.json file.
# api-keys.json format
{
"API_KEY_ID": "your-key-id",
"API_KEY_SECRET": "your-key-secret"
}Install and run via uvx (recommended)
Use uvx to run the BlazeMeter MCP server directly from the GitHub repository. Place your api-keys.json in the working directory or specify its path.
uvx --from git+https://github.com/Blazemeter/[email protected] -q bzm-mcp --mcpAlternative: Run via Docker
Pull and run the official Docker image, passing your API credentials and working directory as environment variables.
docker run --pull=always --rm -i \
-e API_KEY_ID=your-key-id \
-e API_KEY_SECRET=your-key-secret \
-e SOURCE_WORKING_DIRECTORY=/tests \
-v $(pwd)/tests:/tests \
ghcr.io/blazemeter/bzm-mcp:latestConfigure your MCP client
Add the BlazeMeter MCP server to your claude_desktop_config.json. Use the uvx command with your credentials, or point to the Docker command if using containers.
Restart the MCP client and verify connection
Save your configuration and restart Claude Desktop. The BlazeMeter tools will appear in the available tools list. Ask Claude to list available BlazeMeter tests to verify connectivity.
BlazeMeter Examples
Client configuration
Claude Desktop configuration for the BlazeMeter MCP server using uvx. Replace credential values with your actual BlazeMeter API Key ID and Secret.
{
"mcpServers": {
"blazemeter": {
"command": "uvx",
"args": [
"--from", "git+https://github.com/Blazemeter/[email protected]",
"-q", "bzm-mcp", "--mcp"
],
"env": {
"API_KEY_ID": "your-blazemeter-key-id",
"API_KEY_SECRET": "your-blazemeter-key-secret"
}
}
}
}Prompts to try
Natural language prompts to manage BlazeMeter performance tests through Claude once the server is connected.
- "List all my BlazeMeter tests and their last run status"
- "Run the checkout flow load test with 100 virtual users for 10 minutes"
- "Show me the results and error rate from the last test run"
- "Create a new load test targeting https://api.example.com/checkout"
- "What was the 95th percentile response time in my last performance test?"Troubleshooting BlazeMeter
Authentication fails with 'Invalid API key' or 401 errors
Double-check your API_KEY_ID and API_KEY_SECRET values. For uvx/binary installs, verify the api-keys.json file is in the correct location and is valid JSON. Regenerate credentials in the BlazeMeter UI if needed.
Corporate proxy or SSL certificate errors when connecting to BlazeMeter
Set the SSL_CERT_FILE environment variable to the path of your corporate CA certificate bundle. This tells the MCP server to trust your internal certificate authority when making HTTPS requests.
Server starts but no tools are listed in the MCP client
Ensure you pass the --mcp flag to bzm-mcp. Without it, the server may start in a different mode. Check the server output for any startup errors and confirm the process is running before restarting your MCP client.
Frequently Asked Questions about BlazeMeter
What is BlazeMeter?
BlazeMeter is a Model Context Protocol (MCP) server that official blazemeter mcp server for ai-driven performance testing It connects AI assistants to external tools and data sources through a standardized interface.
How do I install BlazeMeter?
Follow the installation instructions on the BlazeMeter GitHub repository. Clone the repo, install dependencies, and add the server config to your AI client.
Which AI clients work with BlazeMeter?
BlazeMeter works with all major MCP-compatible AI clients including Claude Desktop, Claude Code, Cursor, VS Code (GitHub Copilot), Windsurf, and Cline.
Is BlazeMeter free to use?
Yes, BlazeMeter is open source and available under the Apache-2.0 license. You can use it freely in both personal and commercial projects.
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Set Up BlazeMeter in Your Editor
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Quick Config Preview
Add this to your claude_desktop_config.json or .cursor/mcp.json
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