"Finding Ohad Zafrir's LinkedIn Profile" matching MCP servers:

An MCP server that decodes V8 CPU profiles into token-efficient bottleneck summaries for AI agents, enabling them to analyze CPU consumption, call trees, GC pressure, and async bottlenecks.

Enables secure, auditable access to Home Assistant through MCP, with a read-only observer profile and an operator profile for controlled mutations.

MCP server for InfluxDB 2.x, tuned for Home Assistant long-term storage, enabling reading sensor history, finding anomalies, and running Flux queries.

Enables coding agents to read performance findings from sixty, get detailed evidence for each finding, and close or resolve them with descriptions, while also checking service telemetry and providing installation instructions.

An MCP server for Gaggiuino-modified espresso machines, enabling monitoring, shot analysis, and profile management.

Java profiling with AI agent integration. Profile CPU, memory, JDBC, HTTP and more.

Enables AI assistants to drive Chrome/Chromium to capture live WebGPU frames, profile performance, inspect shaders, buffers, and textures, and diagnose rendering issues.

Enables AI agents to profile iOS/macOS apps using Xcode Instruments, automate simulator interactions, and get structured performance data for optimization.

Enables Claude Desktop to interact with 57 AWS services using over 200 tools and local machine profiles. It supports multi-profile configurations and features a read-only safe mode by default to manage infrastructure like EC2, S3, and Lambda securely.

Provides typed, paginated tools for evidence-driven Linux performance analysis including profile analysis, comparison, and report generation with server-side authorization.

Give your AI agents direct access to live honeypot threat intelligence. Look up attacker IPs, browse indicators of compromise (IOCs), inspect captured credentials and malware payloads, profile threat actors, and render a real-time global attack map — all from Claude, Cursor, or any MCP-compatible client.

Exposes SereneDB server state as read-only MCP tools (status, storage, memory, activity, threads, profile, callgraph, host, config, and optional set_setting) so agents can query live database health and metrics with evidence-backed findings instead of viewing screenshots.

Enables querying DeepVLab account statistics and model usage analytics, including login, user profile, usage analytics, and cost calculation.

Bridges React Native DevTools, enabling AI assistants to debug, profile, and inspect React Native applications through a standardized protocol.

Interaction profile registry for AI agents. Log interactions to build a behavioral profile, query it through lenses: friction, coverage, stable corridors, failure registry, and trend. 21 tools.

Enables GPU profiling and performance analysis via NVIDIA Nsight Systems, allowing agents to profile binaries and aggregate statistics for kernels, memory copies, and NVTX ranges. It supports advanced analysis through interval tree construction and structural queries on profiling reports.

An MCP server that gives AI assistants the ability to connect to, query, profile, and monitor data sources — turning any LLM into an interactive data engineering copilot.

Enables AI agents to diagnose Linux server incidents by collecting and structuring system diagnostics from multiple servers via SSH, with tools for finding incident clusters, gathering context (memory, CPU, swap, etc.), and running arbitrary commands.