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

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

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 MCP clients to connect over HTTP and access its MCP resources, with Docker-based deployment and health-check endpoints for reverse-proxy setups.

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 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.

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.

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.

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.

An MCP server that loads your Ditto profile, mined from your local Claude Code, Codex, and OpenCode session logs, so your agent works like you. Exposes the load_ditto_profile tool over the Model Context Protocol.

SkillTotal is a local stdio MCP server that lets an agent check a component before installing it. It statically analyzes MCP servers, agent skills, npm/PyPI packages and repos for supply-chain risks, dangerous capabilities (shell, filesystem, network, credentials), prompt-injection surfaces like tool poisoning, and exfiltration paths. Each finding cites file, line and snippet.

Enables searching and filtering over 1.5 million electronic components across JLCPCB, Mouser, and DigiKey using parametric queries and smart parsing. It supports finding alternative parts, accessing pinout data, and downloading KiCad footprints directly through AI coding assistants.

mcp-broker is a local Model Context Protocol process broker for MCP clients. Think PgBouncer for MCP: one stable local endpoint in front of many upstream MCP servers. The broker owns upstream startup, reuse, cleanup, profile exposure, status, and safe tool routing. The core idea is simple: do not make every agent session load every upstream tool definition before the user asks a task.

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.

Control TraeCN desktop automation through explicit, profile-scoped MCP tools. Supports task delegation, model control, dialog handling, code review, and unattended workflows.

Enables AI assistants to access HackerNews content through structured search, front page retrieval, latest posts monitoring, detailed item fetching with comment trees, and user profile viewing via the Algolia API.