PPRof Analyzer
This is a Model Context Protocol (MCP) server implemented in Go, providing a tool to analyze Go pprof performance profiles.
What is PPRof Analyzer?
PPRof Analyzer is a Model Context Protocol (MCP) server that allows AI assistants like Claude, Cursor, and VS Code to this is a model context protocol (mcp) server implemented in go, providing a tool to analyze go pprof performance profiles.
This is a Model Context Protocol (MCP) server implemented in Go, providing a tool to analyze Go pprof performance profiles.
This server falls under the Developer Tools category on MCPgee, the world's largest MCP server directory with 33,000+ servers.
Features
- This is a Model Context Protocol (MCP) server implemented in
Use Cases
Maintainer
Works with
Installation
Manual Installation
npx mcp-pprof-anaylzerConfiguration
Configuration Details
claude_desktop_config.json
Performance
Response Metrics
Resource Usage
How to Set Up and Use PPRof Analyzer
The PPRof Analyzer MCP Server (mcp-pprof-anaylzer) is a Go-implemented MCP server that integrates Go's built-in pprof profiling ecosystem directly into AI assistant workflows. It supports all standard Go profile types—CPU, heap, goroutine, allocs, mutex, and block—and provides tools to analyze profiles, generate SVG flame graphs, detect memory leaks via heap snapshot comparison, and compare two profiles to surface performance regressions. Profiles can be loaded from local file paths or remote HTTP/HTTPS endpoints, making it easy to analyze profiles from running services without downloading them first.
Prerequisites
- Go 1.21 or later installed on the system running the MCP server
- Graphviz (`dot` command) installed for SVG flame graph generation
- An MCP-compatible client such as Claude Desktop, Cursor, or VS Code with MCP support
- Go pprof profile files (.pprof) or a running Go service with the pprof HTTP handler enabled
Install the pprof-analyzer-mcp binary
Install the server binary directly from the GitHub repository using go install. This builds and places the binary in your Go bin directory.
go install github.com/ZephyrDeng/pprof-analyzer-mcp@latestEnsure the binary is in your PATH
Add the Go bin directory to your PATH if it is not already there, then verify the binary is accessible.
export PATH=$PATH:$(go env GOPATH)/bin
which pprof-analyzer-mcpInstall Graphviz for flame graph support
Graphviz is required only if you want to generate SVG flame graphs. Install it using your OS package manager.
# macOS:
brew install graphviz
# Debian/Ubuntu:
sudo apt-get install graphviz
# CentOS/Fedora:
sudo yum install graphvizAdd the server to your MCP client config
Register pprof-analyzer-mcp in your MCP client's configuration file. No environment variables are needed for standard use.
{
"mcpServers": {
"pprof-analyzer": {
"command": "pprof-analyzer-mcp"
}
}
}Capture a Go profile to analyze
Use curl to capture a profile from a running Go service that has the net/http/pprof handler registered.
# CPU profile (30 seconds):
curl -o /tmp/cpu.pprof 'http://localhost:6060/debug/pprof/profile?seconds=30'
# Heap profile:
curl -o /tmp/heap.pprof http://localhost:6060/debug/pprof/heapPPRof Analyzer Examples
Client configuration
Minimal MCP client config that runs the installed pprof-analyzer-mcp binary.
{
"mcpServers": {
"pprof-analyzer": {
"command": "pprof-analyzer-mcp"
}
}
}Prompts to try
Ask your AI assistant to analyze pprof profiles using natural language. Provide file:// paths or https:// URLs.
- "Analyze the CPU profile at file:///tmp/cpu.pprof and list the top 10 hotspot functions"
- "Generate a flame graph from file:///tmp/heap.pprof and save it to /tmp/heap_flame.svg"
- "Compare file:///tmp/cpu_before.pprof and file:///tmp/cpu_after.pprof to find performance regressions"
- "Check for memory leaks by comparing file:///tmp/heap1.pprof and file:///tmp/heap2.pprof"
- "Analyze the goroutine profile from https://myservice.internal/debug/pprof/goroutine"Troubleshooting PPRof Analyzer
'pprof-analyzer-mcp: command not found' error in MCP client
The Go bin directory is not in the PATH that the MCP client uses. Add `export PATH=$PATH:$(go env GOPATH)/bin` to your shell profile and ensure the MCP client is launched from a shell that sources this profile, or use the full absolute path to the binary in the MCP config.
Flame graph generation fails with a message about the 'dot' command
Graphviz is not installed or not in PATH. Install it with your OS package manager (e.g. `brew install graphviz` on macOS). Confirm it is available by running `which dot`.
Profile fetch from a remote URL returns a connection error
Verify the Go service has imported `_ "net/http/pprof"` and its HTTP server is listening. Check that the URL and port are reachable from the machine running the MCP server, and that no firewall rules block the pprof endpoint.
Frequently Asked Questions about PPRof Analyzer
What is PPRof Analyzer?
PPRof Analyzer is a Model Context Protocol (MCP) server that this is a model context protocol (mcp) server implemented in go, providing a tool to analyze go pprof performance profiles. It connects AI assistants to external tools and data sources through a standardized interface.
How do I install PPRof Analyzer?
Follow the installation instructions on the PPRof Analyzer GitHub repository. Clone the repo, install dependencies, and add the server config to your AI client.
Which AI clients work with PPRof Analyzer?
PPRof Analyzer works with all major MCP-compatible AI clients including Claude Desktop, Claude Code, Cursor, VS Code (GitHub Copilot), Windsurf, and Cline.
Is PPRof Analyzer free to use?
Yes, PPRof Analyzer is open source and available under the MIT License license. You can use it freely in both personal and commercial projects.
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