AI-Native CRM
The AI-native CRM built for you and your Claude. ChatGPT. n8n. AI team.
Every other CRM sells you their AI. Conduyt invites you to bring yours. Claude, ChatGPT, custom agents, n8n bots, they all get a seat at the table.
The landscape
Three kinds of “AI CRM” in 2026
Category 1: Bolt-on AI features. A traditional CRM with AI features added in the last two to three years. Salesforce Einstein, HubSpot Breeze, Pipedrive AI Assistant, Zoho Zia. The CRM was built in the 2010s. The AI was added in the 2020s. Pull the AI features out and the CRM still works exactly the same. The economic signal is pricing: Salesforce charges Einstein credits, HubSpot charges per-feature AI tokens, Pipedrive locks AI features in higher tiers. When AI costs extra, it is a profit center bolted onto the core product.
Category 2: Vendor-AI-native CRMs. Newer CRMs (mostly 2023 onward) built with AI at the center, but the AI is the vendor’s. The vendor picks the model, runs the inference, controls the prompts, and owns the workflow. You can use their AI. You cannot bring yours. Monday CRM’s AI Blocks and Freshsales Freddy sit here. Pricing usually bundles AI into the plan, but if Claude releases a model that is twice as good at writing tomorrow, you cannot use it.
Category 3: AI-native, agent-friendly CRMs. CRMs built from the start around AI agents being first-class users. The architecture assumes humans and AI agents will both read and write to the CRM. The vendor does not try to sell you their AI. They expose tools so any AI can drive the CRM. This is what Conduyt is. Attio and Relaticle live here to varying degrees. Pricing goes flat-rate because per-seat economics break when “seats” include AI agents.
Most “best AI CRM” guides conflate these three categories. They are not the same product.
The problem
“AI-powered” usually means “pay us more.”
Open the homepage of any major CRM today and you’ll see the same headline. AI-powered. AI-first. Built with AI. The problem is what that actually means.
HubSpot wants you to use Breeze. Salesforce wants you to use Einstein. GoHighLevel wants you to pay extra for premium AI nodes. Their AI is locked to their platform, runs on their schedule, and costs more on their next tier. The moment you want to use a different model, Claude for writing, GPT for analysis, your own fine-tuned agent for workflows, you’re back to copy-pasting between tabs.
That isn’t an AI strategy. That’s a vendor strategy. We took the opposite bet.
See it in action
Reassign 12 stale deals to Maya.
The manual way vs. the AI way.
62 clicks. 7 minutes. 12 context switches. Repeat next Monday.
1 sentence. 3 seconds. Goodbye Monday morning.
12 deals. 12 context switches. 7 minutes of scroll-click-scroll. Or one sentence to your AI agent.
Your pipeline, always moving
Watch deals flow through your pipeline.
Your AI moves deals forward while you focus on closing.
Talk to your CRM
No code. Just conversation.
Give your AI an instruction in plain English. It handles the rest.
Real-time intelligence
Your numbers, always live.
Drip performance, pipeline stats, and revenue, updated in real time by your AI.
What your AI can do
Six things, no human in the loop.
Build automations
Describe a workflow in plain English. Your AI validates the graph, dry-runs it, and publishes when you confirm.
Import contacts
Drop a CSV in front of Claude or GPT. It maps fields, dedupes, tags, and enrolls in the right campaign, one API call.
Run reports
Ask “how’s the pipeline?” Get a real answer, not a dashboard. Eight pre-built insight types, all live data.
Send campaigns
Email, SMS, drip sequences, A/B tests. Your AI builds them, schedules them, monitors them.
Manage your team
Provision users, deactivate access, reassign records, pull performance stats. Standard admin work, automated.
Discover everything else
500+ endpoints across 30+ domains, fully indexed. Your AI finds what’s possible without you reading docs.
The standard
The MCP standard and why it matters
Model Context Protocol is the open standard that fixed how AI agents talk to business software. Anthropic introduced it in late 2024. The Linux Foundation took stewardship in 2025. OpenAI, Microsoft Copilot, Google’s Gemini ecosystem, and most major AI vendors have adopted or are adopting the spec.
Before MCP, every CRM-to-AI integration was a one-off. You would write tool definitions for Claude, then different ones for GPT, then different ones for whatever custom agent your team built, then update all three every time the CRM’s API changed. After MCP, you write the server once and every compliant client can use it.
Conduyt’s MCP server exposes 136 tools across 28 modules. Every major CRM operation has at least one tool: contacts, deals, pipelines, tasks, companies, activities, tags, users, automations, email sequences, messaging, calendar, forms, invoices, webhooks, drip campaigns, lead scoring, custom fields, bulk operations, and AI discovery utilities. Every tool follows the conduyt_<module>_<action> naming convention. Your AI learns the pattern once and predicts the rest.
The deep dive on MCP architecture lives at MCP CRM.
Compatibility
Works with the AI you already use
Claude Desktop. Drop a JSON config snippet into your Claude Desktop config file, restart the app, and the 136 tools are live. Five-minute setup. Full walkthrough at Claude Desktop CRM.
Claude Code. Same JSON, different config path. Terminal-based agent for development and RevOps workflows.
Cursor. MCP-compatible since the protocol became standard. Same Conduyt MCP server, different client.
ChatGPT. Conduyt’s REST API exposes the same 500+ endpoints through standard OAuth. Custom GPTs can be configured to call them with appropriate auth scoping.
n8n and Zapier. Prebuilt connectors plus full webhook support. Triggered workflows can call any of the 500+ endpoints.
Custom agents. Whatever your team built. If it speaks HTTP or MCP, it talks to Conduyt. Customers run custom Python agents, LangChain workflows, Vercel AI SDK applications, and homegrown orchestrators. All of them work with the same auth, the same tools, the same audit log.
Full integration walkthroughs at Bring Your Own AI.
Comparison
How Conduyt compares to other CRMs with AI
| CRM | Native MCP | Tool Count | Read/Write | BYO AI | AI Pricing |
|---|---|---|---|---|---|
| Conduyt | Yes | 136 tools | Full CRUD | Yes | Included ($299/mo flat) |
| HubSpot | Limited | ~25 tools | Read-only | Limited | Per-token charges |
| Salesforce | Premium-gated | Varies by tier | Limited | Limited | Per-action credits |
| Zoho | Yes (Zoho One) | Multi-app | Read/Write | Yes | Bundled with Zoho One |
| Attio | Limited | Partial | Read/Write | Yes | Per-seat scaling |
| Pipedrive | No | None first-party | N/A | Limited | AI in higher tiers |
| Relaticle | Yes (open-source) | 30 tools | Read/Write | Yes | Self-hosted (free) |
HubSpot’s free CRM is genuinely useful and the Claude connector is a step in the right direction. Salesforce’s Agentforce is the most powerful enterprise-grade option for teams that can afford the higher tiers. Zoho’s MCP across Zoho One is the strongest play for teams already in the Zoho ecosystem. The right read is not “Conduyt wins everywhere.” It is “Conduyt is the strongest fit if you want full read/write MCP at a flat price with no premium gating.”
Built for safety, too
Welcome AI in, with seatbelts.
Open access without controls is a CTO’s nightmare. So we built guardrails specifically for AI agents:
Pricing the AI part
There isn’t one.
Bring as many AIs as you want. No per-AI fees. No premium tier for “AI features.” The CRM is $299/mo Professional or $499/mo Enterprise, flat, unlimited everything. The AI is whatever you already pay for.
See full pricing →Get started
Three doors in.
For business teams
Start a 20-day free trial. Connect Claude Desktop or your preferred AI when you’re ready.
Start free trial →For developers
Native MCP support. 136 tools. Drop in your API key and your AI runs your CRM.
Read the developer docs →For curious skeptics
We let an AI write a marketing page for us using our own API. Honestly? It’s pretty good.
Read “Written by AI” →Go deeper
Deep dives
Bring Your Own AI – Full walkthroughs for connecting Claude Desktop, Claude Code, Cursor, ChatGPT, n8n, Zapier, and custom Python agents.
For Developers – MCP server setup, REST API quickstart, authentication, tool naming, schema discovery, webhook configuration, rate limits, code examples.
AI Safety – Scoped API keys, dry-run mode, sandbox flag, confirmation tokens, action budgets, audit log format.
MCP CRM – What MCP is, why it is standardizing, and how Conduyt’s implementation compares to HubSpot, Salesforce, Zoho, and Relaticle.
Claude Desktop CRM – Step-by-step setup for connecting Conduyt to Claude Desktop in five minutes.
MCP Integration – How to connect your existing tools and AI agents to Conduyt via the Model Context Protocol.
CRM with AI – The honest buyer’s guide. Three categories of AI CRM, how to evaluate vendors, what to look for in 2026.
FAQ
Frequently asked questions
What does “AI-native CRM” actually mean?
If you removed every AI feature from the product, does the rest still work as a CRM? If yes, the AI is a layer. If the system stops functioning as designed, the AI is the architecture. AI-native CRMs build their data capture, action layer, and orchestration around AI from the start.
Do I have to use Claude with Conduyt?
No. Conduyt works with Claude Desktop, Claude Code, Cursor, ChatGPT, Gemini, n8n, Zapier, custom Python agents, and anything else that speaks HTTP or MCP. We tested first on Claude because Anthropic wrote the MCP standard, but the architecture is open.
Is MCP secure?
MCP itself is a transport protocol. The security comes from how the server implements auth, scoping, and audit. Conduyt’s MCP server uses scoped API keys, dry-run mode, confirmation tokens for destructive actions, rate limiting (120 req/min per key default), and a full audit log.
Can my AI agent see all my CRM data?
Only the data the API key scope permits. Create a read-only key for an analytics agent, a write-scoped key for an automation agent, an admin key for the engineer running things. Each key’s actions are audited separately.
What if MCP changes or gets deprecated?
MCP is open-source, governed by The Linux Foundation, and adopted by Anthropic, OpenAI, Microsoft, and Google. If the spec evolves, we update the server. Your config does not change.
Does Conduyt charge extra for AI features?
No. The $299/month Professional plan and $499/month Enterprise plan include every AI feature, all 136 MCP tools, all 500+ API endpoints, and unlimited AI agents.
How long does it take to set up an AI agent with Conduyt?
Claude Desktop setup is five minutes. Generate an API key, paste a JSON config into your Claude Desktop config file, restart the app, and the 136 tools are live. Custom agents take longer depending on what you are building, but the MCP server and REST API are designed so that “set up auth, point at our endpoints, start writing” is the whole process.