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

An MCP server that provides access to the LinkedIn Bulk Data Scraper API and various utility tools for data extraction and processing.

Analyse your LinkedIn Ads performance. Compare to benchmarks and get optimisation recommendations.

Runs all GTM signal tools in a single call and returns a unified company intelligence report combining hiring, tech stack, LinkedIn, and job board data.

Enables LLMs to profile and analyze tabular data files (CSV, Parquet, Excel, JSON) by extracting schema, statistics, data quality issues, and dtype suggestions, returning structured JSON.

GTM signal intelligence suite for AI agents. Six tools: hiring signals, tech stack detection, company-to-LinkedIn resolution, ICP scoring, job board scanning, and a combined signals aggregator. Built for outbound sales workflows.

Enables finding and verifying work emails for contacts through a waterfall of provider keys, with per-provider cost attribution and verification after each finder.

An MCP server optimized for user profile and audience data synchronization tasks, providing tools for confirmation, verification, and rollback in data sync workflows.

Enables AI assistants to read, analyze, edit, and create Alteryx workflows, including summarizing workflows, finding tools, editing configurations, updating SQL, managing connections, and building new workflows programmatically.

This MCP server enables AI-assisted professional profile generation by connecting to verified employee work data (skills, career history, certifications, projects) from employer HCM systems.

MCP server that turns operator-authorized local or synthetic source records into auditable research briefs, with every finding linked to exact excerpts and hashes. Exposes a single build_research_brief tool over deterministic, no-network stdio.

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.

A unified Model Context Protocol server for data engineering and analytics that lets LLM clients query, profile, transform, and visualize data using DuckDB and PySpark, while keeping raw data out of the model's context through read-only, bounded, and audited operations.

An MCP server for college placement cells to analyze student profiles from bulk Excel data, search students, and access evidence-backed skill intelligence from resumes, GitHub, LeetCode, and portfolios. It provides tools for skill gap analysis and profile completeness evaluation.