Bland AI Connector for AI agents.
12 live capabilities
Automate outbound phone calls and manage voice agents from your chat.
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Why people use Bland AI
Bland AI for Automated Outbound Calling
This Connector changes that by letting your AI agent handle the dialing and the conversation. You can trigger calls, pull transcripts, and manage agents without ever opening a separate dashboard. You get a streamlined process where the AI does the talking and you just manage the results.
What Vinkius changes
You get a direct line to phone automation without leaving your primary workspace.
Use it from Claude, ChatGPT, Cursor or another AI client you already have.
One account · 5,900+ Connectors
- Real-world use case 01
Automated Lead Follow-up
An SDR asks the agent to call 50 new leads to see if they want a demo.
- Real-world use case 02
Call Transcript Auditing
A support lead wants to know why a customer was unhappy.
- Real-world use case 03
Persona Management
A developer needs to create a new Billing Support agent.
Complete set · 12capabilities
The complete Bland AI capability set.
These are the exact actions your AI can choose when you ask it to work with Bland AI.
01—04
4 capabilities in this set.
Part of 12 available through Bland AI.
- 01 Capability
Analyze call transcript
Perform post-call analysis
- 02 Capability
Stop active call
Stop an ongoing phone call
- 03 Capability
Create voice agent
Create a persistent AI persona
- 04 Capability
Delete voice agent
Remove an AI persona
05—08
4 capabilities in this set.
Part of 12 available through Bland AI.
- 05 Capability
Get agent config
Get agent settings
- 06 Capability
Get call details
Get details and transcript for a call
- 07 Capability
List voice agents
List configured AI personas
- 08 Capability
List recent calls
List recent phone calls
09—12
4 capabilities in this set.
Part of 12 available through Bland AI.
- 09 Capability
List phone numbers
List purchased phone numbers
- 10 Capability
List available voices
List high-fidelity AI voices
- 11 Capability
Send phone call
Send an outbound phone call using an AI agent
- 12 Capability
Update agent config
Modify agent settings
Set up in minutes
One URL. Then ask Bland AI to work.
Claude and ChatGPT only need the Connector URL. Copy it once, add it in settings, and use Bland AI 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_ofvE3g8qpDmeh5qw69ttnuvnGCQxVqokUuKnIEsI/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 Bland AI, and paste the URL above.
- Step 03
Turn it on in chat
Select +, open Connectors, and enable Bland AI for the conversation.
ChatGPT · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_ofvE3g8qpDmeh5qw69ttnuvnGCQxVqokUuKnIEsI/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 Bland AI URL.
- Step 03
Save and start
Save the connection and enable Bland AI in your conversation. Desktop may ask you to restart once.
Cursor · IDE configuration
Advanced setup
{
"mcpServers": {
"bland-ai-1": {
"url": "https://edge.vinkius.com/vk_preview_ofvE3g8qpDmeh5qw69ttnuvnGCQxVqokUuKnIEsI/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 Bland AI
Open Agent mode in chat and ask: "Using Bland AI, help me...". 12 tools available
VS Code Copilot · IDE configuration
Advanced setup
{
"mcpServers": {
"bland-ai-1": {
"url": "https://edge.vinkius.com/vk_preview_ofvE3g8qpDmeh5qw69ttnuvnGCQxVqokUuKnIEsI/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 Bland AI
Ask Copilot: "Using Bland AI, help me...". 12 tools available
Windsurf · IDE configuration
Advanced setup
{
"mcpServers": {
"bland-ai-1": {
"url": "https://edge.vinkius.com/vk_preview_ofvE3g8qpDmeh5qw69ttnuvnGCQxVqokUuKnIEsI/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 Bland AI
Open Cascade and ask: "Using Bland AI, help me...". 12 tools available
Cline · IDE configuration
Advanced setup
{
"mcpServers": {
"bland-ai-1": {
"url": "https://edge.vinkius.com/vk_preview_ofvE3g8qpDmeh5qw69ttnuvnGCQxVqokUuKnIEsI/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 Bland AI
Ask Cline: "Using Bland AI, help me...". 12 tools available
Claude Code · Terminal command
Advanced setup
claude mcp add bland-ai-1 --transport http "https://edge.vinkius.com/vk_preview_ofvE3g8qpDmeh5qw69ttnuvnGCQxVqokUuKnIEsI/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 Bland AI
Ask Claude: "Using Bland AI, show me...". 12 tools are ready
Where the request belongs
Work Bland AI can move forward.
This is for the sales leader tired of manual follow-ups and the ops manager who needs to see what's happening on calls without listening to hours of audio.
Sales Development Representative
Uses the agent to blast out hundreds of follow-up calls to leads while they focus on closing deals.
Support Operations Lead
Monitors call transcripts and manages agent personas to ensure consistent customer service.
Voice AI Developer
Integrates automated calling into a larger business workflow using the Connector to trigger actions.
Build the capability set
Add more capabilities.
Each Connector adds new actions and data without changing how you work.
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Adversus
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Bring your own AI
Change the model, client or framework. Keep Bland AI 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 Bland AI.
The practical details behind the request, access and result.
Can I use Bland AI MCP to automate my sales calls?
Yes, you can use this Connector to trigger outbound calls automatically. Your agent can handle the dialing and conversation, allowing you to manage the outreach from your primary workspace.
How do I see what my AI agents actually said to customers?
You can pull the full text of any completed conversation. This allows you to review exactly what was said without having to listen to audio files.
Can I change the voice of my AI agent?
Yes, you can browse the available library of AI voices and select the one that best fits your brand's personality for your calls.
Is there a way to stop a call if it's going wrong?
Yes, you can instantly end any active or scheduled call through your AI agent. This gives you real-time control over your automated outreach.
How do I manage different personas for different types of calls?
You can create and manage multiple AI personas for different use cases. This ensures your agent uses the right tone and information for every specific call type.
Does Bland AI MCP help with call transcription?
Yes, it allows your agent to retrieve the full text transcript of a completed call, making it easy to audit conversations and pull data into your workflow.
Can I send a phone call with specific instructions using the agent?
Yes! Use the send_call action with the target phone number and a 'task' string describing exactly what the AI should say and do during the call.
How do I retrieve the transcript of a completed call?
Simply ask the agent to get_transcript and provide the Call ID. It will retrieve the full conversation log from the Bland AI engine.
Can I list all available voices before starting a call?
Yes. Use the list_voices capability to see all AI voices available in your Bland AI account, including their names and unique IDs.
How do I find my Bland AI API Key?
Log in to your account, navigate to Settings > API Keys, and generate a new key for your integration.
Can I use specific AI voices via agent?
Yes! The send_phone_call and create_voice_agent capabilities allow you to specify voice IDs (e.g., 'maya', 'mason') programmatically.
How do I retrieve call transcripts?
Use the get_call_details capability with a specific call ID to retrieve the high-fidelity transcript and recording link directly from the platform.
One connection away
Give your agent a direct line to Bland AI.
Connect Bland AI once. Keep it beside 5,900+ managed Connectors when the next task needs more.
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