UnifyApps Connector for AI agents.
6 live capabilities
Monitor and audit your SaaS automation flows through a chat interface.
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Why people use UnifyApps
UnifyApps for faster SaaS automation troubleshooting
This Connector puts that logic into a single chat window. You can ask for the status of a specific flow or a list of all active connections in seconds. You get a clear picture of your system health without ever leaving your workspace.
What Vinkius changes
You get a conversational interface for your entire automation backend.
Use it from Claude, ChatGPT, Cursor or another AI client you already have.
One account · 5,900+ Connectors
- Real-world use case 01
Debugging a failed payment trigger
An SRE needs to find out why a Stripe payment failed.
- Real-world use case 02
Auditing security permissions
An IT manager needs to audit permissions.
- Real-world use case 03
Mapping new system logic
An architect is mapping a new system.
Complete set · 6capabilities
The complete UnifyApps capability set.
These are the exact actions your AI can choose when you ask it to work with UnifyApps.
01—03
3 capabilities in this set.
Part of 6 available through UnifyApps.
- 01 Capability
List ai agents
Shows every AI agent currently configured in your UnifyApps environment. Use this to verify your orchestration setup.
- 02 Capability
List active connections
Lists all currently active account connections across your platform. It's the fastest way to audit your linked services.
- 03 Capability
List flow executions
Retrieves the recent success and failure history for your automation flows. Use this to troubleshoot why a job stopped running.
04—06
3 capabilities in this set.
Part of 6 available through UnifyApps.
- 04 Capability
List automation flows
Provides a complete list of all automation flows defined in your hub. This helps you get a high-level view of your entire logic.
- 05 Capability
List integrations
Grabs all unique application components coupled within your UnifyApps instance. Use this for a full audit of your integration footprint.
- 06 Capability
Get integration details
Pulls specific configuration and status data for a single app connection. This helps you check if a specific credential is still valid.
Set up in minutes
One URL. Then ask UnifyApps to work.
Claude and ChatGPT only need the Connector URL. Copy it once, add it in settings, and use UnifyApps from the conversation.
Choose your client
Live previewAdvanced clients IDE · CLI
Claude · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_rH0D1Uip8hInJSX3SO1fdN03oE0NMtLqkYGqOoMJ/mcp - Step 01
Open Connectors
In Claude Web or Claude Desktop, open Settings and choose Connectors.
- Step 02
Add the URL
Choose Add custom connector, name it UnifyApps, and paste the URL above.
- Step 03
Turn it on in chat
Select +, open Connectors, and enable UnifyApps for the conversation.
ChatGPT · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_rH0D1Uip8hInJSX3SO1fdN03oE0NMtLqkYGqOoMJ/mcp - Step 01
Open MCP settings
On desktop, open Settings and MCP servers. On web, open your workspace app or connector settings.
- Step 02
Add the URL
Choose Add server with Streamable HTTP, or create a custom MCP app, then paste the UnifyApps URL.
- Step 03
Save and start
Save the connection and enable UnifyApps in your conversation. Desktop may ask you to restart once.
Cursor · IDE configuration
Advanced setup
{
"mcpServers": {
"unifyapps": {
"url": "https://edge.vinkius.com/vk_preview_rH0D1Uip8hInJSX3SO1fdN03oE0NMtLqkYGqOoMJ/mcp"
}
}
}- Step 01
Open MCP Settings
Press Cmd+Shift+P (macOS) or Ctrl+Shift+P (Windows/Linux) → search "MCP Settings"
- Step 02
Add the server config
Paste the JSON configuration above into the mcp.json file that opens
- Step 03
Save the file
Cursor will automatically detect the new Connector
- Step 04
Start using UnifyApps
Open Agent mode in chat and ask: "Using UnifyApps, help me...". 6 tools available
VS Code Copilot · IDE configuration
Advanced setup
{
"mcpServers": {
"unifyapps": {
"url": "https://edge.vinkius.com/vk_preview_rH0D1Uip8hInJSX3SO1fdN03oE0NMtLqkYGqOoMJ/mcp"
}
}
}- Step 01
Create MCP config
Create a .vscode/mcp.json file in your project root
- Step 02
Add the server config
Paste the JSON configuration above
- Step 03
Enable Agent mode
Open GitHub Copilot Chat and switch to Agent mode using the dropdown
- Step 04
Start using UnifyApps
Ask Copilot: "Using UnifyApps, help me...". 6 tools available
Windsurf · IDE configuration
Advanced setup
{
"mcpServers": {
"unifyapps": {
"url": "https://edge.vinkius.com/vk_preview_rH0D1Uip8hInJSX3SO1fdN03oE0NMtLqkYGqOoMJ/mcp"
}
}
}- Step 01
Open MCP Settings
Go to Settings → MCP Configuration or press Cmd+Shift+P and search "MCP"
- Step 02
Add the server
Paste the JSON configuration above into mcp_config.json
- Step 03
Save and reload
Windsurf will detect the new server automatically
- Step 04
Start using UnifyApps
Open Cascade and ask: "Using UnifyApps, help me...". 6 tools available
Cline · IDE configuration
Advanced setup
{
"mcpServers": {
"unifyapps": {
"url": "https://edge.vinkius.com/vk_preview_rH0D1Uip8hInJSX3SO1fdN03oE0NMtLqkYGqOoMJ/mcp"
}
}
}- Step 01
Open Cline MCP Settings
Click the Connectors icon in the Cline sidebar panel
- Step 02
Add remote server
Click "Add Connector" and paste the configuration above
- Step 03
Enable the server
Toggle the server switch to ON
- Step 04
Start using UnifyApps
Ask Cline: "Using UnifyApps, help me...". 6 tools available
Claude Code · Terminal command
Advanced setup
claude mcp add unifyapps --transport http "https://edge.vinkius.com/vk_preview_rH0D1Uip8hInJSX3SO1fdN03oE0NMtLqkYGqOoMJ/mcp"- Step 01
Install Claude Code
Run npm install -g @anthropic-ai/claude-code if not already installed
- Step 02
Add the Connector
Run the command above in your terminal
- Step 03
Verify the connection
Run claude mcp to list connected servers, or type /mcp inside a session
- Step 04
Start using UnifyApps
Ask Claude: "Using UnifyApps, show me...". 6 tools are ready
Where the request belongs
Work UnifyApps can move forward.
This is for the ops engineer who's tired of clicking through dashboards at 2am to find out why a production flow died. It's for the person who manages hundreds of connections and needs a way to audit them without losing their mind.
SRE / DevOps Engineer
Quickly debugging failed API triggers by pulling logs into a chat window.
Enterprise IT Manager
Auditing global connection linkages to ensure no unauthorized endpoints are active.
Automation Architect
Mapping out the structural skeleton of complex agent logic across multiple platforms.
Build the capability set
Add more capabilities.
Each Connector adds new actions and data without changing how you work.
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Automate workflows with Activepieces. manage flows, monitor executions, and handle app connections directly from your AI agent.
Celigo integrator.io
Manage integrations and automation flows via Celigo. trigger flows, monitor errors, and audit connections directly from any AI agent.
Make (Workflow Automation)
Manage workflow automation via Make. audit scenarios, track execution logs, and monitor data stores.
n8n (AI Workflow Automation)
Manage workflow automation via n8n. audit active workflows, track execution logs, and monitor credentials.
Lindy (Autonomous AI Employees)
Manage autonomous AI employees via Lindy. trigger task runs, monitor reasoning logs, and audit app integrations.
Superblocks
Build and manage internal capabilities and workflows. list applications, manage configurations, and generate secure embed tokens directly from your AI agent.
Bring your own AI
Change the model, client or framework. Keep UnifyApps connected.
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Claude -
ChatGPT -
Gemini -
Cursor -
VS Code -
Windsurf -
ZCode -
Cline -
Zed -
Continue -
Kiro -
Roo Code -
Zencoder -
Goose -
Void -
Augment Code -
Amp -
Qodo -
Tabnine -
Pieces -
Sourcegraph Cody -
JetBrains -
Warp -
Amazon Q -
Antigravity -
BoltAI -
Raycast -
Jan -
LM Studio -
AnythingLLM -
Open WebUI -
Msty -
Cherry Studio -
LibreChat -
TypingMind -
Chorus -
5ire -
n8n -
LangChain -
LlamaIndex -
CrewAI -
Vercel AI SDK
Before you connect
Questions about UnifyApps.
The practical details behind the request, access and result.
Can I use UnifyApps MCP to see why my automation failed?
Yes, you can ask your agent to pull the latest execution history. It will show you the success and failure logs for your flows so you can spot errors instantly.
How does UnifyApps MCP help with auditing connections?
It lets you list every active account connection in your hub. This is great for verifying that only the correct platforms are linked to your system.
Can I check my AI agent configurations with UnifyApps MCP?
You can. The Connector allows your agent to list all AI agents currently plugged into your UnifyApps environment, making it easy to manage your agent fleet.
Does UnifyApps MCP work for multi-platform SaaS flows?
Yes, it provides a way to query and monitor flows across your entire UnifyApps instance, regardless of how many different platforms you're connecting.
Will UnifyApps MCP save me time on debugging?
It's designed to. Instead of manually digging through dashboards, you can use conversational queries to get the specific telemetry data you need to fix issues.
Can I use UnifyApps MCP to see all my integrations at once?
Yes, you can quickly grab a list of every integration configured in your hub to see your entire automation footprint in one place.
Can the agent simultaneously retrieve all recent failed/successful automation execution logs natively?
Yes. Instigate the 'list_flow_executions' capability payload command. It bypasses internal visualization panels generating the chronological queue, so your model can deduce if major error clusters occurred instantly.
How do I easily audit what 3rd party connections are actively mounted?
Issue a direct command targeting 'list_active_connections'. It pulls back pure lists documenting connected providers (e.g. Stripe, Salesforce) preventing hidden ghost authorizations from silently draining resources.
Does it also list internal AI Agents configured inside the platform natively?
Yes. Utilize 'list_ai_agents' via prompt and your model retrieves every bot profile attached along with baseline configurations proving visibility isn't simply restricted to flows.
One connection away
Give your agent a direct line to UnifyApps.
Connect UnifyApps once. Keep it beside 5,900+ managed Connectors when the next task needs more.
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