Ada Connector for AI agents.
4 live capabilities
Manage customer support conversations and knowledge bases with natural language.
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Why people use Ada
Ada for Automated Customer Support Management
With this Connector, you just tell your agent to find the top 10 issues from the last week. It pulls the data, summarizes the trends, and you can tell it to write the fix immediately. You stay in one window and stop wasting time on admin tasks.
What Vinkius changes
You get a natural language interface for your entire Ada support backend.
Use it from Claude, ChatGPT, Cursor or another AI client you already have.
One account · 5,900+ Connectors
- Real-world use case 01
Fixing bot errors on the fly
A manager asks the agent to see the last 5 conversations, notices a mistake, and tells the agent to `create_article` to fix the knowledge gap immediately.
- Real-world use case 02
Contextualizing human handoffs
An agent uses `get_end_user` to pull specific metavariables into a summary so a human rep knows exactly who they are talking to before joining.
- Real-world use case 03
Auditing knowledge gaps
A training lead asks the agent to `list_articles` to see what's missing and then adds a new one to cover a new product feature.
Complete set · 4capabilities
The complete Ada capability set.
These are the exact actions your AI can choose when you ask it to work with Ada.
01—04
4 capabilities in this set.
Part of 4 available through Ada.
- 01 Capability
Get end user
Get a specific user's profile and their custom metavariables. It's the fastest way to see who you're talking to.
- 02 Capability
List articles
See every help article in your knowledge base. Your agent uses these to provide accurate answers to customers.
- 03 Capability
Create article
Write and publish a new help article directly. This lets you fix bot knowledge gaps in seconds.
- 04 Capability
List conversations
Pull a list of past and current support chats handled by the Ada bot. This helps you spot recurring issues quickly.
Set up in minutes
One URL. Then ask Ada to work.
Claude and ChatGPT only need the Connector URL. Copy it once, add it in settings, and use Ada 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_AzLRmp3uK52IN3iowI4nfLlOj7D2qBhC9fZYSMTS/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 Ada, and paste the URL above.
- Step 03
Turn it on in chat
Select +, open Connectors, and enable Ada for the conversation.
ChatGPT · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_AzLRmp3uK52IN3iowI4nfLlOj7D2qBhC9fZYSMTS/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 Ada URL.
- Step 03
Save and start
Save the connection and enable Ada in your conversation. Desktop may ask you to restart once.
Cursor · IDE configuration
Advanced setup
{
"mcpServers": {
"ada": {
"url": "https://edge.vinkius.com/vk_preview_AzLRmp3uK52IN3iowI4nfLlOj7D2qBhC9fZYSMTS/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 Ada
Open Agent mode in chat and ask: "Using Ada, help me...". 4 tools available
VS Code Copilot · IDE configuration
Advanced setup
{
"mcpServers": {
"ada": {
"url": "https://edge.vinkius.com/vk_preview_AzLRmp3uK52IN3iowI4nfLlOj7D2qBhC9fZYSMTS/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 Ada
Ask Copilot: "Using Ada, help me...". 4 tools available
Windsurf · IDE configuration
Advanced setup
{
"mcpServers": {
"ada": {
"url": "https://edge.vinkius.com/vk_preview_AzLRmp3uK52IN3iowI4nfLlOj7D2qBhC9fZYSMTS/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 Ada
Open Cascade and ask: "Using Ada, help me...". 4 tools available
Cline · IDE configuration
Advanced setup
{
"mcpServers": {
"ada": {
"url": "https://edge.vinkius.com/vk_preview_AzLRmp3uK52IN3iowI4nfLlOj7D2qBhC9fZYSMTS/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 Ada
Ask Cline: "Using Ada, help me...". 4 tools available
Claude Code · Terminal command
Advanced setup
claude mcp add ada --transport http "https://edge.vinkius.com/vk_preview_AzLRmp3uK52IN3iowI4nfLlOj7D2qBhC9fZYSMTS/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 Ada
Ask Claude: "Using Ada, show me...". 4 tools are ready
Where the request belongs
Work Ada can move forward.
For support leads and ops teams who are tired of manual data entry and want their AI bots to actually know their customers.
Customer Experience Manager
Audits bot performance and identifies where the AI needs better training by reviewing transcripts.
Support Ops Specialist
Syncs user data across platforms and maintains the help center without switching tabs.
AI Training Lead
Updates knowledge articles on the fly to improve bot accuracy based on real-time feedback.
Build the capability set
Add more capabilities.
Each Connector adds new actions and data without changing how you work.
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Deploy white-label AI assistants for your clients with custom branding, knowledge bases, and conversation analytics.
Bring your own AI
Change the model, client or framework. Keep Ada connected.
-
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 Ada.
The practical details behind the request, access and result.
How does the Ada MCP help with customer support?
It connects your Ada account to your AI agent, allowing it to pull conversation history, check user profiles, and manage your knowledge base using natural language.
Can I use the Ada MCP to update my help articles?
Yes. You can ask your AI agent to create or update help articles directly in your Ada knowledge base without leaving your chat interface.
Does the Ada MCP support user metadata?
Yes, it can retrieve specific user profiles and custom metavariables, giving your agent the context it needs to provide better answers.
How do I connect the Ada MCP to my AI agent?
You can subscribe to the Ada MCP on Vinkius and then enter your Ada Platform Token and Handle into your preferred AI client like Claude or Cursor.
Can the Ada MCP see my past conversations?
Yes, it can list and retrieve both active and past customer support conversations handled by your Ada bot to help identify trends.
Can I use the Ada MCP to manage privacy requests?
Yes, it allows you to manage data privacy requests and conversation retention directly through your AI agent's interface.
Can I update my knowledge base via the agent?
Yes! Use the create_article capability to add new information to your Ada knowledge base. This helps the AI bot stay up-to-date with your latest product or policy changes.
What are the API rate limits on Ada?
The default platform API limit is 10,000 requests per day (10 per second). Some specific endpoints, such as the Data Export API, have additional limits like 15,000 requests per day.
Are there quotas per knowledge article in Ada?
Yes, Knowledge Base APIs enforce a constraint of 100KB per individual article, up to a maximum limit of 50,000 global articles in your organization.
One connection away
Give your agent a direct line to Ada.
Connect Ada once. Keep it beside 5,900+ managed Connectors when the next task needs more.
Explore every Connector No credit card required · Free tier available