It is interesting how AI is integrated into businesses, and automating tasks.
For example, you can securely connect AI tools to live business tools via Model Context Protocol (MCP).
It gives AI-controlled access to the underlying business systems so it can access for example, your CDP, MAP, CMS, CRM, etc.
Having tested different MCP servers particularly for sales and marketing, here are the ones that stand out in their own functions.
HubSpot MCP
HubSpot MCP is an entry-level Model Context Protocol for a business that’s centred on customer relationship management.
The MCP is designed for business sales operations using HubSpot.
It provides read and write access to your business databases such as customers’ records, deals, tickets, etc without interrupting authenticated users’ existing permissions.
For example, you can ask an AI assistant or agent to find an overdue deal, inspect its previous interactions, summarize what happened and update the record without manually moving data between applications.
MCP remote server is good for businesses that want AI to work directly with their existing sales operations.
Apollo MCP
Apollo MCP turns prospecting into a real conversation that can help increase outbound sales.
It can help you search businesses, and prospective clients, create and update your contacts, build sequences, create pitches, and analyse your prospecting performance using popular AI tools such as ChatGPT, Claude and Perplexity.
Apollo MCP can reduce prospecting hiccups, gather prospect data, and integrate with your CRM database in a single UI.
However, you still need to check things up to improve its underlying data. AI makes wrong data easier to retrieve and review.
Clay MCP
Clay MCP is not designed to just connect a database; it’s a powerhouse for the Go-To-Market (GTM) team
It connects GTM data layers, and over 150 data providers directly into AI research agents and prebuilt workflows through ChatGPT, Claude and Codex.
It allows teams to control rep access, credit limits and which Functions are available through the Model Context Protocol.
When your business sales operation needs complex enrichment logic rather than a simple “find me 30 SEO companies team lead” request.
Once an experienced GTM or RevOps officer designs the workflow, Clay does an amazing job, giving the AI means to explore.
It’s considerably complex and can choose the wrong enrichment path or produce an unnecessarily complicated workflow if not set up properly.
Zapier MCP
Zapier MCP is useful when you work with applications that are fragmented.
It can connect AI clients to more than 9,000 applications and tens of thousands of triggers and actions.
The AI can discover the appropriate connected action instead of requiring you to manually build every integration.
Zapier also provides managed authentication, action-level controls and an activity history, making it exceptionally good for marketing operations.
For example, it can connect to Gmail, Salesforce, Slack, Shopify, and a spreadsheet in a single workflow without building a separate MCP for each of them.
Ahrefs MCP
If you’re into SEO, Ahrefs MCP is unarguably the most useful specialist marketing server at the moment.
It connects your AI tools to live Ahrefs data so you can track keyword searches, competitions, traffic analysis, backlinks, and other off-page SEOs.
AI is trained on past data so it can’t get reliable data for keywords, search volume, keyword competition etc.
However, with the right data, AI assistance can compare different competitors, and turn the raw SEO data into a strong SEO plan.
Fireflies MCP
Fireflies is a bit different from others. It connects sales conversations to the rest of the funnel.
Its conversation-intelligence system makes meeting transcripts searchable and provides analytics across conversations, including questions, tasks, speaker insights, sentiment and recurring patterns.
It’s good for operations where you get questions that require you to manually review recordings.
Checking which objections appeared repeatedly, what people asked for, what commitments were made, and where deals are delayed.
For sales managers, this is more valuable than simply generating meeting summaries because the accumulated conversation data can reveal patterns across the pipeline.
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