Top 10 Agents to connect with your SaaS
Jun 18, 2025
2 mins
Matt (Co-Founder and CEO)
🔟 Top 10 AI Agents Your Customers Want MCP Access To — And What They’ll Do With It
TL;DR
Your customers are building AI agents — and they want them to interact with your product. Fast. This post breaks down the 10 most common agents your users are already trying to connect via Prefactor’s MCP stack, including Claude, GPT-4o, Zapier AI, and internal orchestrators.
Each one comes with a concrete use case and link so you can understand the integration demand — and why secure, scoped agent authentication is now table stakes for API-first platforms.
AI agents aren’t hypothetical anymore — they’re being deployed across SaaS, developer tools, and internal ops at scale. If you’re building on Prefactor’s MCP stack, your customers now have a secure, auditable, and flexible way to give those agents scoped access to your platform. If you like what you've read so far, sign up for a chat with the founders to conduct a short consultation on your MCP maturity and next steps.
So who are they connecting to first?
Here are 10 of the most-requested agents your customers are already trying to integrate — and what they want those agents to do with access to your APIs, user data, and workflows.
1. 🔍 Claude: “Summarize My Customer Conversations and Generate Follow-Ups”
Your customers are using Claude to ingest support transcripts, call logs, or chat threads — then summarize them into CRM notes, customer insights, or tailored follow-ups.
MCP requirement: Claude needs scoped access to sensitive conversation history and permission to write back into notes or tickets.
2. ⚙️ GPT-4o: “Drive End-to-End Workflow Automation Across My SaaS Stack”
With multimodal and real-time capabilities, GPT-4o is often the "brain" of customer-built agents — executing flows like onboarding, renewals, and reporting.
MCP requirement: Must securely impersonate users or agents with proper read/write scopes across APIs, files, and task systems.
3. 🎞️ Runway: “Auto-Edit and Translate Marketing Videos from Our Campaign Tool”
Marketing teams are embedding Runway to generate promotional videos, transcribe interviews, or subtitle content for localization — using raw data from your platform.
MCP requirement: Agent needs access to content libraries and project files — and must log usage for audit trails.
4. 🔗 Zapier AI Agents: “When This Happens in Your App, Do That in Another”
Users love Zapier for automation — now they want AI-powered agents to react to events (like new form submissions or project changes) and trigger cross-platform workflows.
MCP requirement: Zapier’s agent must subscribe to real-time changes, access scoped data, and safely trigger write actions.
5. ⚡️ Reka Flash: “Answer Product Usage Questions in Real Time”
Reka Flash offers low-latency agents ideal for answering queries like: “What permissions does this user have?” or “What changed in this project last week?”
MCP requirement: Agent needs high-speed access to logs, metadata, and scoped user activity — without compromising security.
6. 📊 FinOps Agent (Custom): “Analyze Usage Trends and Flag Overspending Automatically”
Your B2B customers are building internal agents that monitor how their team uses your product — and whether licenses are being underutilized, overprovisioned, or misconfigured.
MCP requirement: These agents need scoped access to activity logs, billing data, and org structure — all wrapped in clean audit logs.
7. 🛠 ServiceNow Virtual Agent: “Resolve Internal IT Tickets Based on Product Activity”
Visit ServiceNow Virtual Agent
Enterprise IT teams are extending ServiceNow’s agent to your app: auto-resolving tickets, answering internal queries, and taking proactive action based on user behavior.
MCP requirement: Must authenticate on behalf of internal users and call APIs with strict visibility controls.
8. 💬 Slack AI Agents: “Respond to Slash Commands or Summarize What Happened Today”
Your users want agents inside Slack that can summarize updates, pull recent project changes, or auto-respond to slash commands like /status.
MCP requirement: Needs delegated access to user activity and the ability to post or respond on their behalf — securely and trackably.
9. 🧱 No-Code Builders (e.g. Dust, Baselit, Cognosys): “Create a Custom Copilot Without Touching Code”
Customers are dragging-and-dropping their way to custom agents. They want these tools to securely integrate with your platform — without API keys or backend engineering.
MCP requirement: Must issue scoped, temporary, revocable credentials tied to each agent and its creator.
10. 🧠 Internal Orchestrator Agents: “Make My Product AI-Native From the Inside”
Use case: Companies are building their own AI agent layer to run across your product’s APIs.
Example? An internal bot that handles onboarding, flags incomplete records, or nudges users back to the platform — all powered by internal LLMs and agents.
MCP requirement: Full lifecycle control — the ability to provision, track, and revoke agents per org or user with precise role-based access.
🧩 Why MCP Is the Missing Piece
The problem isn’t building the agent — it’s controlling it. Without proper infrastructure, agents:
Act outside of intended scopes
Break when APIs or permissions shift
Create opaque access paths with no audit trail
Prefactor’s MCP stack solves this with:
Auth and identity for agents, not just humans
Scoped token issuance with delegation support
Real-time logging and lifecycle management
🚀 Want to Power These Agents for Your Customers?
We’re helping teams across SaaS, infra, and dev tools get MCP-ready — fast.
👉 Book a demo and join the waitlist to secure your spot in our early access program.
Your customers are building AI agents — it’s time to make sure your platform is ready for them.