Turn your existing product into a platform for AI agents.
FlowCP converts your SaaS or no-code app into a secure, monetizable agent experience — without rebuilding it. Bring your existing workflows, end-user authentication, and permissions to ChatGPT, Claude, and every MCP-compatible ecosystem.
Works with the product you already have
Distribute across the agent ecosystem
Why FlowCP
You built the product. FlowCP adds the agent layer.
Your app already has valuable workflows, customer data, permissions, and business logic. FlowCP turns them into agent-ready capabilities — then gives you the infrastructure to secure, govern, package, distribute, and monetize them.
Convert, don’t rebuild
Connect your existing API or no-code application. FlowCP discovers its endpoints and quickly converts them into hosted tools that AI agents can understand and use.
Every user acts as themselves
Authenticate customers through your existing OAuth system. Every request runs in the correct user and tenant context using the permissions already defined in your product.
Build a complete agent experience
Go beyond basic API tools. Add skills, prompts, and widgets that help agents complete workflows and display interactive results.
Govern what agents can change
Classify tools as read, write, or destructive. Keep sensitive actions disabled, require confirmation, and review activity before exposing them to customers.
Distribute and monetize
Publish across ChatGPT, Claude, and other agent ecosystems. Offer premium capabilities and turn agent access into a new product channel.
How it works
From existing product to agent platform in four steps.
Connect your product, decide what agents can do, design the experience, then publish. No code changes to your app.
- 01
Connect your product
Point FlowCP to your OpenAPI specification, Bubble app, or codebase. FlowCP imports your endpoints, workflows, schemas, and authentication configuration without requiring you to rebuild your product.
- 02
Verify and govern your tools
Review what was generated, improve names and descriptions, test real workflows, and decide which actions agents are allowed to use. Risky or destructive actions remain unavailable until explicitly approved.
- 03
Design the agent experience
Package your capabilities using tools, skills, prompts, widgets, and paid access.
ToolsSkillsPromptsWidgetsPaid access - 04
Publish and grow
Launch a hosted MCP connection and distribute it across ChatGPT, Claude, developer agents, embedded chat experiences, and other MCP-compatible platforms.
One agent layer. Multiple distribution channels.
Authentication & permissions
Give agents capability — not admin access.
Connecting an agent should not mean giving it a master API key. FlowCP keeps each action tied to the authenticated customer, their tenant, and their existing application permissions.
- End-user OAuthCustomers sign in using the identity system your product already trusts.
- Multi-tenant permission contextRequests remain associated with the correct user, workspace, organization, or account.
- No shared admin accessAgents operate with the customer’s permissions instead of bypassing the application through a universal admin token.
- Encrypted secretsApplication credentials remain encrypted and protected.
- Privacy-safe activity logsTeams can understand what an agent attempted, which customer initiated it, and whether it succeeded — without exposing credentials.
Tool governance
Control what agents can do before they touch customer data.
Agent actions carry different levels of risk. Reading an order is not the same as refunding it or deleting an account. FlowCP gives teams tool-level control over every capability.
Risk classifications
Label tools as read, write, or destructive.
Disabled by default
Newly imported actions remain unavailable until reviewed and enabled.
Confirmation requirements
Require customer confirmation before sensitive actions are executed.
Testing and verification
Test tools against real workflows before publishing them.
Complete visibility
Review activity across users, tools, tenants, and agent platforms.
You decide what agents can do, who can do it, and under which conditions.
Agent experiences
Make your product feel native inside AI.
A good agent integration is more than a list of API endpoints. FlowCP helps agents understand how your product works and gives customers a useful interface for interacting with it — all over MCP, the open standard for connecting AI to apps.
Tools
Let agents search, create, update, and manage information through the application.
Skills
Teach agents the correct steps for completing complex workflows.
Prompts
Give customers ready-made ways to use the product without writing detailed instructions.
Widgets
Display orders, dashboards, calendars, forms, charts, and other interactive experiences inside supported AI clients.
Monetization
Turn agent access into a new revenue channel.
Your agent integration can be more than a feature. It can become a product surface of its own.
- Make selected tools or resources paidCharge for specific high-value actions or data.
- Package premium agent workflowsBundle multi-step skills into paid experiences.
- Offer different capabilities by planGate tools and resources by subscription tier.
- Track agent usageSee how often each capability is called, and by whom.
- Support agent-native paymentsAccept programmatic payments for paid tool calls.
- Create pricing models around automation and outcomesComing soonPrice by result, not only by call.
Your customers gain a faster way to use your product. Your business gains a new way to distribute and monetize it.
Distribution
Your product, everywhere agents work.
Customers are increasingly doing their work inside AI assistants. FlowCP helps your product meet them there.
ChatGPT
Create interactive app experiences and distribute them through the ChatGPT ecosystem.
Claude
Give customers secure access to tools, skills, and workflows through Claude.
Developer agents
Connect to Cursor, Windsurf, Cline, Zed, and other MCP-compatible development environments.
Embedded experiences
Offer an AI chat experience inside the product using the same governed tools.
Use MCP as an open distribution layer instead of maintaining a separate integration for every new agent ecosystem.
Who it’s for
Built for teams with an existing product.
SaaS companies
Turn established workflows and customer data into secure agent capabilities.
No-code builders
Bring Bubble and other API-enabled products into the agent ecosystem without rebuilding them in a traditional stack.
Product and engineering teams
Launch agent integrations without maintaining authentication, hosting, governance, and platform-specific infrastructure internally.
Software studios
Add agent compatibility, skills, widgets, and monetization to client products through a repeatable platform.
FAQ
FlowCP in plain terms.
Quick answers for teams deciding whether to make their product agent-ready.
- What does FlowCP do?
- FlowCP converts an existing SaaS or no-code application into a secure platform that AI agents can use. It provides hosted tools, authentication, governance, skills, widgets, monetization, and distribution infrastructure.
- Is FlowCP just an MCP server generator?
- No. Generating the MCP server is only the starting point. FlowCP also manages end-user authentication, multi-tenant permissions, tool governance, agent experiences, hosting, monetization, and distribution.
- Do I need to rebuild my application?
- No. FlowCP works with the application and API you already have.
- Does an agent receive admin access?
- No. Actions run in the authenticated customer’s context using the permissions defined by the application.
- Can I control actions that change customer data?
- Yes. Tools can be classified by risk, disabled, tested, and configured to require confirmation before sensitive actions run.
- Can I charge for agent access?
- Yes, when monetization is enabled. Teams can create paid experiences around selected tools, resources, and workflows.
- Which AI platforms can use FlowCP?
- FlowCP can connect with ChatGPT, Claude, Cursor, Windsurf, Cline, Zed, and other platforms that support MCP.
Get started
The next interface for your product is an agent.
Turn the SaaS or no-code application you already built into a secure, governed, and monetizable platform for AI agents.
No rebuild. No shared admin keys. One connection across the agent ecosystem.