vanderbuild
Get in touch
← All tools

GPTfy

Your AI stack, inside Salesforce.

AI Sales Ops
For AI agents
MCPAPINative readiness
About

What is GPTfy

GPTfy runs inside Salesforce and lets teams connect any AI model — OpenAI, Claude, Gemini, Llama, and others — to their CRM data without building custom middleware. It is built for RevOps leads and GTM engineers at SMB and mid-market companies who need AI automation inside existing Salesforce workflows rather than a separate tool. The standout capability is publishing agent prompts as MCP tools, which makes GPTfy a callable orchestration layer for external AI agents — not just a chatbot bolted onto a CRM. It also masks PII before data leaves Salesforce, which matters for legal, financial services, and government use cases. The honest limitation is that it is Salesforce-only; if your team runs HubSpot or a non-Salesforce CRM, there is no path in.

AI Sales OpsCRM
Capabilities

Key features

AI sales assistant

agent that handles inbox, research, and scheduling

Native CRM integration

first-party connectors, no middleware required

AI capabilities

autonomous multi-step actions

Outbound webhooks

event-driven integrations

Our verdict

Vanderbuild take

For RevOps and GTM engineers who live in Salesforce, GPTfy is one of the few tools in the Sales Assistant and CRM category that treats the CRM as the execution layer rather than a data source to export from. The agentic readiness here is native — GPTfy can publish prompts as MCP tools, which means you can wire it directly into an AI agent orchestration stack and have external agents call Salesforce-grounded actions without custom glue code. At $20 per seat per month with unlimited usage and no consumption billing, it is affordable for small and mid-market teams, though costs will stack as headcount grows. The hard constraint is platform lock-in: this is Salesforce-only, so if your GTM stack is split across CRMs or you're pre-Salesforce, it doesn't apply to you at all.

Mateusz Sekta
Founder, vanderbuild
Learn more

Our Resources

The wedge

Agentic stack profile

MCP server
Yes

Live MCP server — agents can call this tool directly.

The MCP Server allows publishing GPTfy agent prompts as MCP tools, providing live Salesforce data access and supporting A2A Protocol.

Open MCP →
API
REST

Programmatic access available.

REST API — straightforward to call from any agent or workflow tool. Rate limits and auth vary by plan.

API docs →
Agentic readiness
Native

Built for agents from the ground up.

MCP server + agent-friendly API + at least one autonomous workflow out of the box. The bar for 'Native' is high — only a handful of tools currently qualify.

Stack role
AI agent · CRM

Where this tool slots into an agentic pipeline.

Plays the role of AI agent + CRM in an agentic pipeline. Use it to act autonomously on inbox, scheduling, or research work; be the system of record for contacts, deals, and pipeline.

Compare

GPTfy alternatives

Tools that solve a similar problem — compared at a glance.

GPTfy(this tool)
Pricing
Seat-based
Budget
$$
Best for
RevOps, GTM Engineer
Readiness
Native
MCP
Yes
API
REST
Pod
Pricing
Seat-based
Budget
$$
Best for
Account Executive, RevOps
Readiness
Native
MCP
Yes
API
REST
Sybill
Pricing
Freemium
Budget
$$
Best for
Account Executive, SDR / BDR
Readiness
Native
MCP
Yes
API
REST
Answers

Frequently asked questions

Does GPTfy have an MCP server?

Yes — GPTfy exposes a Model Context Protocol server. The MCP Server allows publishing GPTfy agent prompts as MCP tools, providing live Salesforce data access and supporting A2A Protocol. See the MCP docs at https://gptfy.ai/features.

Does GPTfy have a public API?

Yes — GPTfy ships a REST API. Docs: https://gptfy.ai/features.

How much does GPTfy cost?

GPTfy: pricing is seat-based, expect mid tier ($$) spend. Full pricing page: https://gptfy.ai/pricing.

Who is GPTfy best for?

GPTfy is built for RevOps, GTM Engineer. Fits SMB (1-50), Mid-market (50-500)-sized teams.

How well does GPTfy fit an agentic sales stack?

Tier: Native. Has both an MCP server and an agent-friendly API — drops into an agentic stack with minimal glue code.