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

Analyzes LinkedIn profiles for specific companies and roles to extract career patterns and insights using AI.

Enables drafting, gate-checking, and publishing fact-verified LinkedIn posts in the owner's voice, with experiment-driven learning of styles, formats, and posting times plus read-only analytics and a local dashboard.

Enables AI-powered LinkedIn automation, including content generation, profile and company data extraction, connection requests, and post scraping through MCP tools.

Enables authenticated LinkedIn profile access, AI-assisted post drafting and publishing, job searching across multiple free boards, and local application tracking—all through MCP tools.

AI-powered LinkedIn automation server for content generation, profile/company data extraction, and connection request automation, integrating with MCP clients like Claude Desktop.

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.

Academic peer-review (HAKEM), research-gap finding, journal recommender (1,214 venues with predatory flags), duplicate publication checker, and article writer tools from Science AI Journal. Free local FTS5 tools + LLM-backed tools that bill the caller's account.

prevents llm from overload, freeze and oscillation

Enables AI agents to generate branded talent documents such as assessment reports, executive profiles, shortlists, and client deliverables in DOCX, PPTX, PDF, or Excel formats from source text or LinkedIn profiles.

The Ritwik Joshi Personal MCP Server is a standardized Model Context Protocol (MCP) data source designed to give AI agents direct, authoritative tool access to his professional profile. It features eight tools that enable AI assistants to fetch real-time information regarding his speaker profile, keynotes, TEDx talks, blog articles, and booking details without relying on outdated data.

Enables users to generate images, articles, voice, music, and more from their Sapiens Sintéticos account using natural language, spending credits and saving to their profile.

Enables teams to measure their actual ticket-writing style from GitLab, Jira, or GitHub and check new or draft tickets against that learned house profile, with optional model-backed drafting.

Open-source AWS security scanner with Attack Chains, Breach Cost Estimation, and MCP Server. 47 checks across 15 AWS services. Every finding includes copy-paste remediation (CLI + Terraform) and a dollar-risk estimate with verified source. First free standalone AWS security MCP server - Prowler and Wiz require paid SaaS.

Enables finding TikTok and YouTube micro-KOLs, classifying their niches, scoring campaign fit with Jev, and drafting outreach emails, with results cached locally in SQLite.

Enables reading news numerologically by extracting numbers, computing gematria, finding resonance patterns via hybrid search in Qdrant, and generating daily numerology forecasts.

Enables AI coding agents to inspect competition folders, profile tabular datasets, compare train and test distributions, run leakage-safe time/group-aware cross-validated baselines with competition metrics, explain models, and write and validate submissions before upload.

Enables any MCP client to query DeepSeek's web chat, including its built-in live web search, with no separate search API, provider account, or extra cost. Also supports continuing chat sessions, uploading local files as prompt attachments, and automatic token re-harvesting from a logged-in browser profile.

Enables evaluating evidence against independent predicate, choice, and score questions across text, project files, images, and PDF pages, and finding relevant code ranges without returning file contents.

Enables MCP clients to query live OpenRouter LLM pricing and monthly price history back to 2023 without API keys. It supports finding the cheapest model for a job, estimating workload costs, tracking price changes, and comparing providers.

An MCP server for the OpenAI Ads (ChatGPT Ads) Advertiser API, providing tools for agent-led performance marketing such as finding dead ads, auditing near-duplicate copy, and auditing ad-group context hints.

Automates job outreach by finding companies, discovering contacts, generating personalized emails with AI, and tracking campaigns.

Enables documentation search, robot control and telemetry through rp_server protocol v2, and local Laya System-1 decision analysis via a unified MCP entry point with profile-based tool routing.

Enables AI agents to drive Google Flow through a real Chrome profile to generate images, videos, characters, and scenes without sharing credentials.

Domain-expert SMB sales playbooks for AI agents. Discovery questions, objection handlers, cold email + LinkedIn DM templates, BANT/MEDDIC frameworks, closing tactics. Built by an ex-Criteo (268% quota) / ex-Deel ($12B) / ex-HBO / ex-Bloomberg enterprise AE. Use when your AI SDR needs real human-tested sales artifacts.

Enables developers to monitor verified upstream releases, sanitize untrusted changelogs, score updates against a local stack profile, and prepare structured verification plans before adopting AI and LLMOps dependencies.

Generates personalized 7-day meal plans based on user profile and goals, and provides daily calorie catch-up suggestions when intake falls short.

Lets an AI agent drive Google Flow (flow.google.com) through a locally logged-in Chrome profile to generate images, videos, characters, and scenes. Uses browser automation via the Chrome DevTools Protocol, so Google credentials are never shared with the agent.

An MCP server that exposes Pyright language server functionality for Python, providing tools for type checking, code completions, and finding definitions. It enables AI models to perform static analysis and code formatting through the Model Context Protocol.

Analyzes numeric time series (raw values or a CSV column) with the Matrix Profile algorithm to surface explainable anomalies and recurring patterns, reporting each top discord or motif alongside the nearest-neighbor comparison that justifies it. Exposes this through MCP tools that validate inputs such as NaN/Inf values, empty CSVs, and invalid window sizes.

Enables interaction with eLabFTW electronic lab notebooks through the eLabFTW REST API v2, covering experiments, items, templates, steps, links, uploads and metadata across 41 tools. Supports both single-user stdio and multi-user hosted deployments with scoped, profile-based write permissions and AI-assisted review of entries.