HeyLead
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- AlicenseNot gradedqualityBmaintenanceLinkedIn from the user's own logged-in Chrome session for AI agents: search, profiles, post engagers, company employees, lists, sequences, inbox and a Research Pack, with hard caps and a human approval queue. Local-first, no headless browser.13MIT
- AlicenseBqualityBmaintenanceConnects AI assistants like Claude to LinkedIn through your own logged-in browser session, enabling profile and company lookups, messaging, inbox management, job searches, and related actions. All browser interactions run locally on your machine.47Apache 2.0
- AlicenseNot gradedqualityCmaintenanceConnects AI assistants to LinkedIn outreach, enabling lead finding, campaign management, messaging, and analytics through natural language.MIT
- AlicenseNot gradedqualityBmaintenanceEnables sending LinkedIn messages and invitations, reading conversations, and managing outreach through natural language by automating a real LinkedIn session via a Chrome extension.14 npmMIT

GTM Otto MCPofficial
AlicenseNot gradedqualityCmaintenanceEnables 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.1MIT- AlicenseAqualityAmaintenanceLinkedIn prospect intelligence inside Claude. It automates the research behind outreach, not the sending: scrapes posts, profiles and comment threads into a local SQLite database, classifies what a person or company actually posts about, mines comment threads for people already describing your problem, and surfaces uncommon commonalities worth opening with.1833MIT
TDQS
Scored across 22 tools
Most tools are cleanly split into read-only resource tools and their mutating counterparts (inbox/answer_inbox, contacts/update_contact, campaign/campaign_status), and descriptions explicitly cross-reference the intended tool. Some overlap remains around replying/sending (answer_inbox vs send_message), reply checking (inbox vs check_replies), and status/reporting (show_status, analytics, campaign_status, suggest_next_action), so an agent could still misselect.
All names are snake_case, with a predictable pattern of resource nouns (contacts, accounts, campaign) paired with action verbs (create_campaign, update_contact, send_message). Minor inconsistencies exist, such as singular/plural pairs (account/accounts, prospect/prospect_view) and noun-only names alongside verb-led names, but nothing chaotic.
22 tools is on the heavy side for a single MCP server and reflects a broad product surface; many operations are bundled into action-parameterized mega-tools. It is borderline rather than excessive, but the count increases the chance of overlapping choices.
The set covers the main outreach lifecycle: setup, accounts, ICP generation, campaign creation/editing/control, contacts, prospects, scheduler, inbox/replies, messaging, analytics, and meeting booking. Minor gaps remain, such as no direct contact creation/import or explicit campaign listing/calendar-connection tool, but core workflows are represented.