Your AI Assistant, Already Up to Speed on Every Deal in the Pipeline.
A CRM MCP server connects your AI assistant to the place your team already tracks deals, contacts, and activity. The result is an assistant that knows the context of every conversation before your salesperson opens their laptop, drafts follow-ups grounded in real notes, and logs the next step where it actually belongs.
Context First. Drafts Second. Logging Always.
A CRM MCP server lets your AI assistant read the deal, the contact, the company, and the recent activity before it does anything else. That context makes the difference between a generic AI reply and one that sounds like it came from the rep who has been working the account for six months. The MCP landscape for CRM now spans first-party servers from HubSpot, Salesforce, and others, community connectors of varying quality, and custom builds for vertical or specialized CRMs. We help you decide which fits your CRM and your workflows, then we deploy and run it.
Your Pipeline Deserves a Deliberate Choice.
CRMs hold the most sensitive commercial data most businesses have: who is buying, what they pay, who is leaving. The right MCP for your CRM is not always the same one your peer in another industry uses. We map the right answer per CRM and per workflow, so what ends up in production is what fits your sales motion and your security posture, not what was easiest to plug in.
- Native first, when it fits. HubSpot, Salesforce, and Microsoft Dynamics are publishing first-party MCP servers. When the native server is well-scoped and meets your governance, we use it.
- Public, but vetted. When a community connector is the right tool, we review the code, pin the version, sandbox it inside your environment, and confirm it respects your CRM permission model.
- Custom, when justified. Vertical CRMs (legal intake, healthcare patient relationship, real estate transaction, nonprofit donor systems) and tightly integrated marketing-and-CRM hybrids usually need a custom build. We design and run it.
- Same operating model across all three. Permissions aligned with your CRM. Activity logging back to the right record. Sensitive fields masked where needed. Sales ops can verify the trail no matter which kind of server is running.
Where the Hours Come Back
Context Before the Call
"What is the latest on Acme? Who have we talked to, what is open, what did they push back on last quarter?" The assistant pulls the deal, the contacts, the open tasks, and the recent activity in seconds. The rep walks into the call ready.
Follow-Ups That Sound Like the Rep
The assistant drafts a follow-up email after the meeting, grounded in the actual notes, not a generic template. The rep edits and sends. The deal does not stall waiting on a thoughtful follow-up.
Pipeline Summaries by Anyone Who Asks
"Where are we on Q3? What slipped, what closed, what is at risk?" The sales manager gets a clean read in one prompt, with the deals named and the reasons summarized.
Post-Call Logging
The rep dictates the call summary, the assistant logs the activity, updates the deal stage, creates the next task, and notes the next step on the contact record. The CRM stays accurate without manual entry.
Account Plans Built From the Record
For larger accounts, the assistant pulls the full deal history, contact map, recent activity, and open opportunities into a working account plan the rep edits and saves.
Lead Routing and Triage
New leads come in, the assistant checks the existing CRM for duplicates, enriches the record from the notes, and routes to the right rep with a brief summary, all in one motion.
What We Build For
We build MCP servers for the CRMs sales and revenue teams actually run on:
- HubSpot (Sales Hub, Service Hub, Marketing Hub, CMS Hub)
- Salesforce (Sales Cloud, Service Cloud, custom objects)
- Zoho CRM
- Pipedrive
- Microsoft Dynamics 365 Sales
- Copper, Insightly, Close, and similar mid-market CRMs
- Vertical CRMs: legal client intake, healthcare patient relationship, real estate transaction management, nonprofit donor systems
How We Work With You
- 01
Step 1 — Discovery
We watch how your team actually uses the CRM. Where the data is good, where it is missing, what reps wish they did not have to type. We talk to sales ops about the reporting that breaks when activity is not logged.
- 02
Step 2 — Design
We map which fields the AI can read, which it can update, which need a confirmation step, and how activity gets logged automatically. We define the permissions so a rep, a manager, and an exec see what they should and nothing more.
- 03
Step 3 — Build
We deploy the server inside your environment, connect it to the CRM with the right scopes, and wire it into the AI tools your team uses. We pilot it with a single team or territory before broader rollout.
- 04
Step 4 — Manage
We monitor the connector, tune the prompts as the team learns what they want, update the field map as your CRM evolves, and stay on call when something needs adjustment.
Sales Operations Stays in the Loop.
Sales ops is the part of the organization most affected by a poorly governed AI in the CRM. We design every connector with sales ops in mind: clean activity records, no duplicate creation, predictable field updates, and a logging trail that makes the AI's edits visible in standard CRM reports. The team that builds your forecast keeps trusting the numbers.
Built for Revenue Teams of 5 to 500.
This is built for revenue teams where the CRM is real, not aspirational:
- A sales team where reps already use AI tools, but the AI cannot see the deal context.
- A leadership team that wants better pipeline data without making reps type more.
- A sales operations function that has been burned by ungoverned automations before.
- A business with a vertical or custom CRM that no off-the-shelf AI knows.
What Do Your Reps Wish
Their AI Already Knew?
Tell us how your CRM is set up and where time gets lost. We will tell you which connections are worth building first, what the boundaries should look like, and what the buildout will cost.
- No sales script. A real conversation with someone who has been inside businesses like yours.
- A 30 minute call, an honest read on where AI fits and where it does not.
- Straight pricing. No surprise invoices.
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