Full disclosure: Komo is our product, and it's first on this list. We've kept every entry honest about what it does well and where it stops — the sources for each are linked at the end, and most of these servers work great side by side.
How we judged them
Four questions: What can the AI actually do through it (reads are easy; guarded writes are the hard part)? How deep is the sales coverage — one task or the whole motion? How safe are the defaults (scoped keys, send caps, human approval)? And how painful is setup for a non-developer? Everything below clears a reasonable bar on all four.
1. Komo MCP — the end-to-end revenue engine
Best for: Running the whole motion — discovery to CRM to proposal — from one chat
Most sales MCP servers expose one slice of the job. Komo's exposes the loop: 1,000+ sales tools, data sources & skills covering live people search, enrichment, lists, signal agents, campaigns, LinkedIn actions, inbox, and CRM writeback — with quotas, send caps, and approvals enforced server-side. Ask for "20 verified decision-makers at companies that just hired a RevOps lead, drafts queued for my review" and every step happens in one conversation. Full tour here.
2. Apollo MCP — the contact database in your chat
Best for: Searching and enriching from Apollo's database, adding to sequences
Apollo's MCP server turns its B2B database into chat-native tools: search leads, enrich records, create contacts, add to sequences, and pull campaign analytics. Setup is genuinely no-code, with connect flows for Claude, ChatGPT, and Perplexity. It stays centered on Apollo's own data and sequences, so pair it with other servers for the rest of the motion. See our Apollo MCP setup guide.
3. Instantly MCP — cold email operations
Best for: Agencies and senders managing many campaigns and inboxes
Instantly's hosted server (38 tools at launch) is built for email operators: campaign analytics across clients, lead management, inbox filtering ("find replies that contain 'out of office'"), and account health — the kind of cross-campaign questions that used to mean an afternoon of dashboard clicking. It's email-only by design; it won't find new prospects or touch your CRM.
4. HubSpot connector — your CRM, conversational
Best for: HubSpot shops that want records readable and editable from Claude
HubSpot ships an official connector for Claude that exposes CRM objects — contacts, companies, deals, tickets — to chat, with your existing HubSpot permissions applied. It's the cleanest way to ask "what changed in my pipeline this week?" without opening a report. Setup steps in our HubSpot MCP guide.
5. Salesforce MCP options — the enterprise system of record
Best for: Teams on Salesforce that want reads, updates, and reports from chat
Salesforce access via MCP comes in flavors: official tooling from Salesforce's developer platform plus mature community servers, typically covering SOQL queries, record CRUD, and reporting. Enterprise permissioning makes setup more involved than the one-click options above — our Salesforce MCP guide walks the options.
6. Zapier MCP — the long tail
Best for: Reaching the thousands of apps nobody ships a dedicated server for
Zapier's MCP hands your AI its 9,000-app catalog: Gmail, Slack, Sheets, calendars, and every niche tool in your stack. Breadth is the trade — actions are generic rather than sales-deep, and heavy use draws on your Zapier task quota. As the glue layer alongside a dedicated sales server, it's excellent.
7. Clay MCP — ops-built workflows, callable by anyone
Best for: Teams with a Clay power user who templatizes enrichment for the rest
Clay's MCP flips its power-user problem: ops builds the workflow once, then any rep can run it from chat ("run the outbound generator for this domain") without touching the Clay UI. If your team already lives in Clay tables, this makes them consumable; if not, it won't replace a prospecting engine on its own.
How to connect one (any of them)
The pattern is the same everywhere: create an API key or click the vendor's connect button, add the server to your AI client (a settings entry in Claude or ChatGPT; one command in Claude Code, e.g. claude mcp add --transport http komo https://mcp.komo.ai/mcp), then prompt. Start with a read-only ask — "summarize my pipeline" — before you let it write.
Choosing MCP servers, answered
Want the whole motion in one server?
Komo MCP runs discovery, people search, enrichment, outreach, CRM updates, and proposals from one conversation — with you approving every send that matters.
Explore Komo MCP