Chatsistant Connector for AI agents.
8 live capabilities
Manage your white-label chatbot ecosystem and knowledge bases through natural conversation.
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Why people use Chatsistant
Chatsistant for Chatbot Knowledge Management
With this Connector, you just tell your agent to add a new data source or check a bot's status. You stay in one window and get the job done in seconds. You get a streamlined way to keep your bots accurate without the manual clicking.
What Vinkius changes
You get a conversational command center for your chatbot ecosystem.
Use it from Claude, ChatGPT, Cursor or another AI client you already have.
One account · 5,900+ Connectors
- Real-world use case 01
Fixing incorrect bot answers
A bot is giving wrong answers about a new policy.
- Real-world use case 02
Auditing large chat volumes
You need to audit 50 different chat logs from last week.
- Real-world use case 03
Verifying webhook delivery
You're unsure if your webhooks are firing for new signups.
Complete set · 8capabilities
The complete Chatsistant capability set.
These are the exact actions your AI can choose when you ask it to work with Chatsistant.
01—04
4 capabilities in this set.
Part of 8 available through Chatsistant.
- 01 Capability
Add data source
Add a new URL, file, or text snippet to a bot's training data. This lets you keep your bot's knowledge up to date instantly.
- 02 Capability
List webhooks
See all your configured webhooks and their triggers. Use this to check if your integrations are firing correctly.
- 03 Capability
Query bot
Send a direct question to a bot's knowledge base. This helps you test how the bot will answer before you go live.
- 04 Capability
Get bot
Retrieve the full profile of a specific bot. Use this to check current status and specific knowledge base settings.
05—08
4 capabilities in this set.
Part of 8 available through Chatsistant.
- 05 Capability
Get conversation
Pull the full message history for a single chat. This is how you deep dive into a specific customer interaction.
- 06 Capability
List bots
Get a complete list of every bot in your account. It's the fastest way to see what's active and what's paused.
- 07 Capability
List data sources
List bot data sources
- 08 Capability
List conversations
View all chat sessions across your bots. You can filter these by bot ID to focus on specific agents.
Set up in minutes
One URL. Then ask Chatsistant to work.
Claude and ChatGPT only need the Connector URL. Copy it once, add it in settings, and use Chatsistant 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_pHKIqUVnpNzysk3EjJJFx7brchTn8atfbhMnxatz/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 Chatsistant, and paste the URL above.
- Step 03
Turn it on in chat
Select +, open Connectors, and enable Chatsistant for the conversation.
ChatGPT · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_pHKIqUVnpNzysk3EjJJFx7brchTn8atfbhMnxatz/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 Chatsistant URL.
- Step 03
Save and start
Save the connection and enable Chatsistant in your conversation. Desktop may ask you to restart once.
Cursor · IDE configuration
Advanced setup
{
"mcpServers": {
"chatsistant": {
"url": "https://edge.vinkius.com/vk_preview_pHKIqUVnpNzysk3EjJJFx7brchTn8atfbhMnxatz/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 Chatsistant
Open Agent mode in chat and ask: "Using Chatsistant, help me...". 8 tools available
VS Code Copilot · IDE configuration
Advanced setup
{
"mcpServers": {
"chatsistant": {
"url": "https://edge.vinkius.com/vk_preview_pHKIqUVnpNzysk3EjJJFx7brchTn8atfbhMnxatz/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 Chatsistant
Ask Copilot: "Using Chatsistant, help me...". 8 tools available
Windsurf · IDE configuration
Advanced setup
{
"mcpServers": {
"chatsistant": {
"url": "https://edge.vinkius.com/vk_preview_pHKIqUVnpNzysk3EjJJFx7brchTn8atfbhMnxatz/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 Chatsistant
Open Cascade and ask: "Using Chatsistant, help me...". 8 tools available
Cline · IDE configuration
Advanced setup
{
"mcpServers": {
"chatsistant": {
"url": "https://edge.vinkius.com/vk_preview_pHKIqUVnpNzysk3EjJJFx7brchTn8atfbhMnxatz/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 Chatsistant
Ask Cline: "Using Chatsistant, help me...". 8 tools available
Claude Code · Terminal command
Advanced setup
claude mcp add chatsistant --transport http "https://edge.vinkius.com/vk_preview_pHKIqUVnpNzysk3EjJJFx7brchTn8atfbhMnxatz/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 Chatsistant
Ask Claude: "Using Chatsistant, show me...". 8 tools are ready
Where the request belongs
Work Chatsistant can move forward.
This is for the customer support lead who needs to see why a bot failed a specific interaction, or the developer who wants to update bot knowledge without opening a browser.
Customer Experience Manager
Reviews chat logs to identify knowledge gaps and improve bot accuracy on a daily basis.
AI Developer
Manages bot configurations and data sources via natural language instead of a dashboard.
Operations Coordinator
Monitors webhook delivery and verifies bot connectivity across various integrations.
Build the capability set
Add more capabilities.
Each Connector adds new actions and data without changing how you work.
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BotGenuity
Create and manage AI chatbots with custom knowledge bases that answer customer questions accurately around the clock.
The Botforge
Deploy custom AI chatbots for enterprise customer support with multilingual capability and deep integration into your tech stack.
CHATFLY
Manage AI chatbots and knowledge bases via CHATFLY. train bots on custom data and track conversations directly from any AI agent.
Bring your own AI
Change the model, client or framework. Keep Chatsistant 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 Chatsistant.
The practical details behind the request, access and result.
Can I use Chatsistant MCP to manage multiple bots at once?
Yes, it lets you see every bot in your account and manage them individually from your AI client.
How do I update my bot's training data?
You can ask your agent to add new URLs or files to a bot's knowledge base instantly.
Can I see what my bots are actually saying to customers?
Yes, you can pull full conversation histories to review every message your bots send.
How does this help with webhook errors?
You can list all your webhooks to check if the triggers and settings are correct for your integrations.
Is this for building a chatbot or managing one?
This is for managing your existing bots, checking their status, and updating their knowledge.
Can I test a bot's answer before going live?
You can query a bot's knowledge base directly to see how it responds to specific questions before customers see it.
Can I send a question to a bot and get an AI-generated answer in real time?
Yes! The query_bot capability accepts a Bot ID and a question string. It sends the query to the bot's AI engine and returns a response generated from its trained knowledge base. perfect for testing bot accuracy before deploying changes.
Can I review all the data sources currently training my bot?
Yes. The list_data_sources capability returns all URLs, documents, and text snippets that have been added to a specific bot's knowledge base, including their processing status. Use add_data_source to programmatically add new URLs, text, or file content to expand the bot's training data.
Can I browse conversation histories across all my bots?
Yes. Use list_conversations to retrieve all chat sessions. optionally filter by a specific Bot ID. Then use get_conversation with the Conversation ID to inspect the full message timeline, including user questions, bot responses, and timestamps.
One connection away
Give your agent a direct line to Chatsistant.
Connect Chatsistant once. Keep it beside 5,900+ managed Connectors when the next task needs more.
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