GPTfy
Your AI stack, inside Salesforce.
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.
Key features
agent that handles inbox, research, and scheduling
first-party connectors, no middleware required
autonomous multi-step actions
event-driven integrations
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.
Agentic stack profile
MCP serverYesLive 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 →APIRESTProgrammatic access available.
REST API — straightforward to call from any agent or workflow tool. Rate limits and auth vary by plan.
API docs →Agentic readinessNativeBuilt 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 roleAI agent · CRMWhere 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.
GPTfy alternatives
Tools that solve a similar problem — compared at a glance.
- Pricing
- Seat-based
- Budget
- $$
- Best for
- RevOps, GTM Engineer
- Readiness
- Native
- MCP
- Yes
- API
- REST
- Pricing
- Seat-based
- Budget
- $$
- Best for
- Account Executive, RevOps
- Readiness
- Native
- MCP
- Yes
- API
- REST
- Pricing
- Freemium
- Budget
- $$
- Best for
- Account Executive, SDR / BDR
- Readiness
- Native
- MCP
- Yes
- API
- REST
Frequently asked questions
Does GPTfy have an MCP server?
Yes — GPTfy exposes a Model Context Protocol server. The MCP Server allows publishing GPTfy agent prompts as MCP tools, providing live Salesforce data access and supporting A2A Protocol. See the MCP docs at https://gptfy.ai/features.
Does GPTfy have a public API?
Yes — GPTfy ships a REST API. Docs: https://gptfy.ai/features.
How much does GPTfy cost?
GPTfy: pricing is seat-based, expect mid tier ($$) 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.