How to Use the Bland AI MCP in Windsurf

Q: How do I connect the Bland AI MCP Server to Windsurf?

Open your /.codeium/windsurf/mcpconfig.json file and add the server configuration under the mcpServers key. You can also use the Settings interface under Cascade MCP Servers to paste the Vinkius endpoint.

Q: How does the Bland AI integration handle voice selection in Windsurf?

Cascade queries the server using listvoices to see what voices you have active. It then updates your local configuration files to assign the right voice ID to your outbound campaigns.

Q: What happens if a call goes wrong while using this MCP Server?

Cascade monitors active sessions via getcall. If it detects an error or if you tell it to abort, it immediately triggers stopcall to terminate the active phone line.

Trigger automated phone campaigns and analyze voice transcripts directly from Windsurf using Cascade.

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Connect Bland AI MCP to Windsurf

Create your Vinkius account to connect Bland AI to Windsurf and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup Bland AI with Windsurf

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Autonomous Bland AI Campaigns via Cascade

Cascade can execute your phone outreach runs on its own. You tell the agent to contact a list of leads, and it uses `send_call` to dial them up, then checks status via `list_calls` without waiting for your manual approval. If a call fails or needs an immediate halt, the Cascade agent fires `stop_call` to kill the connection. It acts as an autonomous dialer manager right inside your Windsurf IDE.

Live Pathway and Agent Audits

Stop guessing how your voice agents route customers. Let Cascade inspect your setup using `list_pathways` and `get_pathway` to map out the conversational flows. Your agent compares your local code logic with live voice behaviors by querying `list_agents` and `get_agent`. It ensures your Windsurf workspace matches your actual Bland AI production configuration.

Instant Post-Call Analysis via MCP Server

After Cascade triggers a phone run, it pulls the complete conversation text using `get_transcript` to see how the prospect responded. It maps the raw text directly into your project files. By analyzing these transcripts alongside `list_voices`, Cascade helps you fine-tune agent tones and scripts without leaving the editor. This MCP Server connection turns raw phone logs into actionable code updates.

Setup guide

Set up Bland AI MCP in Windsurf

Prerequisites

Windsurf IDE installed (macOS, Windows, or Linux)
Active Vinkius subscription with a valid endpoint token

1

Open MCP configuration

Click the Cascade assistant icon in the sidebar, then click the hammer icon (🔨) at the top of the panel. Select "Configure" to open ~/.codeium/windsurf/mcp_config.json.
2

Add the Bland AI MCP

Paste the JSON snippet shown on the right into the mcpServers object. Replace [YOUR_TOKEN_HERE] with your endpoint token from cloud.vinkius.com.
3

Refresh MCPs

Go back to the hammer icon (🔨) in Cascade and click "Refresh". Windsurf will detect the new server. No full restart is needed — the connection is hot-reloaded.
4

Verify in Cascade

Start a new Cascade conversation and ask something like "Show my Bland AI payment history." If connected, Cascade will call the Bland AI tools directly. You will see a green dot next to the server name in the MCP panel.

mcp_config.json

{
  "mcpServers": {
    "bland-ai-1-mcp": {
      "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    }
  }
}

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Bland AI. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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Common questions about Bland AI MCP in Windsurf

Open your `~/.codeium/windsurf/mcp_config.json` file and add the server configuration under the `mcpServers` key. You can also use the Settings interface under Cascade MCP Servers to paste the Vinkius endpoint.

Yes. Because Cascade chains actions, it can read a local file of phone numbers, loop through them using `send_call`, and then read the results using `get_call` without asking for your permission at each step.

Cascade queries the server using `list_voices` to see what voices you have active. It then updates your local configuration files to assign the right voice ID to your outbound campaigns.

Cascade monitors active sessions via `get_call`. If it detects an error or if you tell it to abort, it immediately triggers `stop_call` to terminate the active phone line.

Absolutely. Vinkius runs the server in an ephemeral sandbox, meaning your sensitive phone transcripts and call records are never cached. The raw conversation data goes straight from Bland AI to your local Windsurf environment.

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