pulsemcp scanned Safe content atomic mcp-remote

Go pprof Analyzer

pprof-analyzer-mcp is a Go-based server that enables AI assistants to analyze Go performance profiles. Developed by ZephyrDeng, it leverages the Google pprof library to parse CPU, heap, and goroutine profiles, extracting key metrics and generating flame graphs for visualization. The server processes profile data through specialized analyzers for different profile types, providing insights into performance bottlenecks, memory usage patterns, and concurrency issues. It's particularly valuable for developers who need to diagnose performance problems in Go applications without manually interpreting complex profiling data.

Cognium trust score

64%

Tier

Scanned

Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately. Last scanned 2026-09-01.

Scan details: Circle-IR · 2026-09-01 · Appeal

View full trust & usage report →

Metadata

Version: 1.0.0
Skill type: atomic
Execution layer: mcp-remote
Category: monitoring
Source: PulseMCP
Repository: github.com/zephyrdeng/pprof-analyzer-mcp
Author type: human
Last scanned: 2026-09-01
Updated: 2026-09-01

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MCP

Resolve Go pprof Analyzer from your agent

Streamable HTTP transport at https://api.skillsregistry.net/mcp. No auth for read tools. Discovery: .well-known/mcp.json.

One command in your shell — Claude Code wires it up and verifies the connection. Run /mcp in any session to confirm.

claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp

Swap --scope user for --scope project to commit it to .mcp.json.

Your client Same endpoint everywhere; only the config key differs. The full list is in the descriptor.

Claude Desktop · Settings → Connectors → Add custom connector

https://api.skillsregistry.net/mcp

Paste the URL as the connector endpoint. No authentication.

ChatGPT · Settings → Connectors → Create (developer mode) → MCP server URL

https://api.skillsregistry.net/mcp

Authentication: none. Works in chat and deep research — the server exposes the connector search and fetch tools.

Codex CLI · ~/.codex/config.toml

[mcp_servers.skillsregistry]
url = "https://api.skillsregistry.net/mcp"