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

Enables an AI agent to fully operate a LinkedIn account—posting, messaging, profile edits, and network management—with self-healing selectors, human-like pacing, and approval-based planning to avoid breakage or lockouts.

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

Enables an MCP client such as Claude Code to search LinkedIn jobs, read postings and profile data, track what has been seen, and prepare actions on a user's own account. Every consequential LinkedIn action requires explicit out-of-band confirmation in a terminal, with typed tools and failure-honest errors.

Enables AI agents to publish posts, images, comments, and reactions to LinkedIn as the authenticated user, with built-in safety features like daily budgets and deduplication.

AI agent for LinkedIn outreach: finds the right people, writes in your voice, follows up, replies. Six campaign goals: sell a product or service, find a job, hire people, find partners or investors, find a vendor, research interviews. Campaigns stay drafts until you launch them.

This server enables remote job discovery, tailored CV creation, and approval-gated application lifecycle management. It prioritizes safe, factual job applications without authenticated LinkedIn scraping or silent submissions.

AGENTS.md + skills orchestration with CHP Profile A R0/adversary gates. @cubiczan/agent-conductor

Enables AI agents to act as providers or clients on the Nayori Bitcoin commerce marketplace on Stacks mainnet, including registering, finding and applying to jobs, submitting deliverables, and getting paid in sBTC.

Enables MCP clients to evaluate spend gates and manage human-in-the-loop approvals for CHP Profile B.

A Model Context Protocol (MCP) server that enables AI assistants to perform comprehensive file operations including finding, reading, writing, editing, searching, moving, and copying files with security validations.

Enables LLM clients to analyse job postings, tailor resumes from an evidence-labelled profile, validate every claim against that profile, and track applications, all through deterministic MCP tools.

AI client acquisition autopilot. 15 MCP tools for LinkedIn, Email, X, Instagram & Blog outreach from Claude.

MCP server for AWS SSO authentication and profile management, enabling AI assistants to check identity, switch profiles, and manage EC2/EKS resources.

Provides MCP tools to score request sufficiency against a profile, block underspecified work, and write committed decision records with evidence and overrides.

Enables local job-search automation, from finding and scoring postings to drafting tailored CVs and cover letters, compiling PDFs, and tracking applications through your AI assistant.

Enables AI agents to control Instagram accounts programmatically, supporting profile management, media interaction, direct messaging, and follower management.

Connects to multiple social media platforms (Twitter/X, Mastodon, LinkedIn), allowing users to create and publish content across platforms through natural language instructions.

Enables AI agents to search company job boards and LinkedIn, judge job fit against a user profile, draft tailored one-page CVs and cover letters with fact-checking, and track applications through MCP tools. Also lets agents perform the AI writing steps themselves while the server enforces gates, verdicts, and document safety checks.

Enables autonomous agents to access and manage YG3 marketing workflows—content, SEO, outbound email, LinkedIn, and paid ads—via a provisioned sandbox workspace.

Enables scoped project discovery, deterministic rule and profile management, and durable automation with trigger/pause/resume/cancel and audit history for approved project contexts.

Enables MCP clients to evaluate CHP Profile B capital gates, including spend/mandate decisions, human-approval workflows, canonical JSON hashing, and signed audit ledger records.

Enables self-driving LinkedIn prospecting from AI assistants, including finding leads, warming them up, inviting them, and opening conversations, with human approval required before any message is sent.

Adds OrgX MCP tools to a DeepSeek Harness profile and runs a workspace-bound OrgX gateway peer through Harness headless mode.

Enables agents to delegate decisions to a configurable model, returning recommended choices with percentage scores and profile-based routing.

Enables AI agents to place and manage real outbound phone calls to businesses, including appointment bookings, reservations, live call follow-up, mid-call answers, recordings, and account/profile management.

Enables durable multi-agent workflow runs for Codex with a live terminal dashboard, restartable agents, and bug-finding templates, all controllable through natural language.

Provides a memory layer for personal agents, enabling MCP-compatible agents to store and query profile, factual, episodic, and procedural memory.

Local-first memory engine that synthesizes entity profiles at ingestion. Enables persistent, reasoning memory for AI agents via MCP tools like add, search, and profile.

Profile-driven job search engine that aggregates postings, scores them against a user's profile, filters by eligibility (location, timezone, work authorization), and exposes find_jobs, list_sources, and describe_engine to local AI agents over MCP.

A language-neutral runtime for the SEP-2663 task lifecycle and io.sdar/taskExecution Provider Profile, delegating resource facts and side effects to versioned gRPC/Protobuf adapters. Implemented in strict TypeScript, it provides durable scheduling, recovery, and a full test suite for conformance.