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

Enables MCP clients to drive individually named Chrome profiles, providing tools for tabs, navigation, page interaction, screenshots, JavaScript evaluation, console logs, and network inspection over stdio without a TCP port.

Enables AI agents to profile React applications, detect performance bottlenecks, and automatically apply fixes like memoization and code hoisting.

Enables creating and managing user profiles with interactive elicitation capabilities that prompt users for missing required information. Demonstrates MCP's elicitation feature by validating profile data and requesting additional details when fields are incomplete.

Enables AI assistants to retrieve structured information about the local Windows machine, including system specifications, resource health, developer tools, and AI environment, all through a secure, read-only interface.

Enables management of user health profiles with capabilities to list, retrieve, and add user health information. Provides a sample implementation for testing MCP functionality with ChatGPT and other MCP-compatible tools.

A Next.js MCP server template using mcp-handler 2 and the MCP TypeScript SDK v2, providing a stateless MCP server for App Router applications with built-in support for the 2026-07-28 protocol and compatibility with 2025-era Streamable HTTP clients.

A server that enables AI assistants to interact with LinkedIn programmatically for job searching, resume/cover letter generation, and managing job applications through standardized JSON-RPC requests.

Exposes Derek Huynen's professional profile to MCP-aware AI clients, providing tools to retrieve profile, skills, experience, and projects, and resources like profile summary and resume.

An MCP server integrating with Findymail API that enables email validation and finding work emails using names, companies, or profile URLs.

MCP server for programmatically accessing your own Toptal Talent profile, including profile management, applications, jobs, timesheets, and more.

A middleware API that connects AI assistants like ChatGPT to Captain Data tools for extracting information from LinkedIn company and profile pages.

Connects AI assistants to Exa AI's search capabilities, enabling web search, company research, URL crawling, LinkedIn search, and specialized code search across GitHub repos, documentation, and Stack Overflow for finding relevant coding context and examples.

A server implementing the Model Context Protocol that enables users to retrieve LinkedIn profile information and activity data via EnrichB2B API, and generate text using OpenAI GPT-4 or Anthropic Claude models.

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.

Vet ClawHub skills before installing them; detects prompt-injection, exfiltration, and other security issues, outputting a risk score with per-finding evidence.

Enables blazingly fast file and content searching in large codebases using ripgrep, with intelligent filtering, fuzzy finding, and directory tree visualization while respecting .gitignore and avoiding common bloat directories.

Enables AI agents like Claude Code and ChatGPT to build GitHub profile SVG cards using ProfileKit's 28 card types and 17 themes via natural language.

Enables first-order logic reasoning including theorem proving, model finding, counterexample detection, and category theory diagram verification using pure TypeScript with no external dependencies.

Enables PostgreSQL schema exploration and SQL querying through natural language in MCP clients like Cursor, with support for dev/qa profile switching and read-only safety controls.

Enables MCP-compatible AI clients to retrieve a professional profile as callable tools, including projects, work experience, skills, and live GitHub activity.