Chaindesk Connector for AI agents.
11 live capabilities
Manage custom knowledge bases and automated support bots with your own data.
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Why people use Chaindesk
Chaindesk for fixing manual knowledge base updates
This Connector changes that by letting your AI client talk directly to your data sources. You just tell your agent to add a new link or document, and it handles the ingestion. You get a living knowledge base that stays accurate without the manual labor.
What Vinkius changes
You get a direct line from your AI client to your custom-trained knowledge base.
Use it from Claude, ChatGPT, Cursor or another AI client you already have.
One account · 5,900+ Connectors
- Real-world use case 01
Automating customer support for a retail site
A support lead uses query_agent to see how a bot handles a refund request based on the company's specific policy documents.
- Real-world use case 02
Updating internal company wikis
An ops person uses upsert_datasource to add a new product manual, ensuring all internal agents have the latest specs.
- Real-world use case 03
Auditing bot performance for quality assurance
A manager uses list_conversations to check for common customer complaints and identify where the bot needs more training.
Complete set · 11capabilities
The complete Chaindesk capability set.
These are the exact actions your AI can choose when you ask it to work with Chaindesk.
01—04
4 capabilities in this set.
Part of 11 available through Chaindesk.
- 01 Capability
Create agent
Build a new AI agent by providing a name, datastore, and prompt. This starts your custom bot workflow.
- 02 Capability
Get agent
Retrieve the details of a specific agent. This lets you check current configurations without leaving your chat.
- 03 Capability
Get datastore
See the specific details for a single datastore. This is useful for checking which URLs or files are connected.
- 04 Capability
Get messages
Pull the message history for a specific conversation. Use this to audit what your bot said to a user.
05—08
4 capabilities in this set.
Part of 11 available through Chaindesk.
- 05 Capability
Query agent
Send a message to a specific agent. This is the primary way to get answers from your custom-trained bots.
- 06 Capability
Update agent
Modify an existing agent's settings. Use this to change system prompts or switch models quickly.
- 07 Capability
List agents
See all the AI agents you've built in your account. This helps you manage your bot fleet from one place.
- 08 Capability
List conversations
Browse your chat history. You can filter these by a specific agent to find old threads.
09—11
3 capabilities in this set.
Part of 11 available through Chaindesk.
- 09 Capability
List datastores
View your knowledge collections. This shows you what data your agents currently have access to.
- 10 Capability
Delete agent
Remove an agent from your account. Use this to clean up old bots or clear out test instances.
- 11 Capability
Upsert datasource
Add or update a data source like a website URL or a document. This keeps your knowledge base fresh.
Set up in minutes
One URL. Then ask Chaindesk to work.
Claude and ChatGPT only need the Connector URL. Copy it once, add it in settings, and use Chaindesk 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_T5VjYPY8ezoZU63DLLaawQj8Wz1PrnywxCHz077q/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 Chaindesk, and paste the URL above.
- Step 03
Turn it on in chat
Select +, open Connectors, and enable Chaindesk for the conversation.
ChatGPT · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_T5VjYPY8ezoZU63DLLaawQj8Wz1PrnywxCHz077q/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 Chaindesk URL.
- Step 03
Save and start
Save the connection and enable Chaindesk in your conversation. Desktop may ask you to restart once.
Cursor · IDE configuration
Advanced setup
{
"mcpServers": {
"chaindesk": {
"url": "https://edge.vinkius.com/vk_preview_T5VjYPY8ezoZU63DLLaawQj8Wz1PrnywxCHz077q/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 Chaindesk
Open Agent mode in chat and ask: "Using Chaindesk, help me...". 11 tools available
VS Code Copilot · IDE configuration
Advanced setup
{
"mcpServers": {
"chaindesk": {
"url": "https://edge.vinkius.com/vk_preview_T5VjYPY8ezoZU63DLLaawQj8Wz1PrnywxCHz077q/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 Chaindesk
Ask Copilot: "Using Chaindesk, help me...". 11 tools available
Windsurf · IDE configuration
Advanced setup
{
"mcpServers": {
"chaindesk": {
"url": "https://edge.vinkius.com/vk_preview_T5VjYPY8ezoZU63DLLaawQj8Wz1PrnywxCHz077q/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 Chaindesk
Open Cascade and ask: "Using Chaindesk, help me...". 11 tools available
Cline · IDE configuration
Advanced setup
{
"mcpServers": {
"chaindesk": {
"url": "https://edge.vinkius.com/vk_preview_T5VjYPY8ezoZU63DLLaawQj8Wz1PrnywxCHz077q/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 Chaindesk
Ask Cline: "Using Chaindesk, help me...". 11 tools available
Claude Code · Terminal command
Advanced setup
claude mcp add chaindesk --transport http "https://edge.vinkius.com/vk_preview_T5VjYPY8ezoZU63DLLaawQj8Wz1PrnywxCHz077q/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 Chaindesk
Ask Claude: "Using Chaindesk, show me...". 11 tools are ready
Where the request belongs
Work Chaindesk can move forward.
This is for the ops engineer tired of manual data entry, the support lead managing a fleet of bots, and the product lead needing to deploy specialized assistants across different business units.
Support Team Lead
Monitors bot responses and updates the knowledge base in real-time to ensure customers get accurate answers.
Knowledge Manager
Uses the capability to ingest new company documents and maintain a clean, searchable knowledge graph.
Ops Engineer
Automates the creation of multiple agents for different departments to handle internal FAQs.
Build the capability set
Add more capabilities.
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Bring your own AI
Change the model, client or framework. Keep Chaindesk 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 Chaindesk.
The practical details behind the request, access and result.
Can I use Chaindesk MCP to train my bots on my own website?
Yes, you can. By adding your website URL as a data source, the Connector allows your AI agent to pull information directly from your site to answer questions.
How do I see what my agents are saying to customers?
You can view entire conversation histories directly. This allows you to audit responses and monitor how your bots are interacting with users in real time.
Can I create multiple agents for different departments?
Yes, you can build a fleet of specialized agents. Each one can have its own unique prompt and its own specific datastore for different business units.
Does Chaindesk MCP help with lead qualification?
It does. By grounding your agents in your specific product data and FAQs, they can accurately qualify leads and provide detailed information to potential customers.
How do I update the information my agent uses?
You can update your knowledge base by adding or modifying data sources. The Connector handles the ingestion so your agents always have the latest information.
Can I monitor my knowledge base status?
Yes, you can monitor your datastores to see which sources are connected and check their current status to ensure your agents are grounded correctly.
How do I find my Chaindesk API Key?
Log in to your Chaindesk.ai account, navigate to Settings > API Keys, and generate a new key for your integration.
What is a Datastore?
A Datastore is a collection of documents and URLs that your AI agent uses as its knowledge base to answer queries accurately.
Can I maintain conversation context via AI?
Yes! Provide a unique conversationId to the query_agent capability to maintain historical context across multiple turns with your custom bot.
One connection away
Give your agent a direct line to Chaindesk.
Connect Chaindesk once. Keep it beside 5,900+ managed Connectors when the next task needs more.
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