Bland AI MCP Server for Google ADKGive Google ADK instant access to 12 tools to Analyze Call Transcript, Create Voice Agent, Delete Voice Agent, and more
Google Agent Development Kit (ADK) is Google's framework for building production AI agents. Add Bland AI as an MCP tool provider through Vinkius and your ADK agents can call every tool with full schema introspection.
Ask AI about this App Connector for Google ADK
The Bland AI app connector for Google ADK is a standout in the Superpower category — giving your AI agent 12 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
from google.adk.agents import Agent
from google.adk.tools.mcp_tool import McpToolset
from google.adk.tools.mcp_tool.mcp_session_manager import (
StreamableHTTPConnectionParams,
)
# Your Vinkius token. get it at cloud.vinkius.com
mcp_tools = McpToolset(
connection_params=StreamableHTTPConnectionParams(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
)
)
agent = Agent(
model="gemini-2.5-pro",
name="bland_ai_alternative_agent",
instruction=(
"You help users interact with Bland AI "
"using 12 available tools."
),
tools=[mcp_tools],
)
* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
About Bland AI MCP Server
Connect your Bland AI account to any AI agent and take full control of your hyper-realistic AI-driven phone communication and automated voice workflows through natural conversation.
Google ADK natively supports Bland AI as an MCP tool provider. declare Vinkius Edge URL and the framework handles discovery, validation, and execution automatically. Combine 12 tools with Gemini's long-context reasoning for complex multi-tool workflows, with production-ready session management and evaluation built in.
What you can do
- Outbound Call Orchestration — Programmatically initiate high-fidelity phone calls to over 200 countries, providing specific tasks and real-time instructions directly through your agent
- Voice Agent Architecture — Create and manage persistent AI personas with fixed prompts, voices, and personality settings to maintain a perfectly coordinated brand voice
- Conversation Intelligence — Access real-time call statuses, retrieve complete high-fidelity transcripts, and access secure recording links for every interaction
- Post-Call Discovery — Programmatically analyze finished calls to extract specific variables, insights, or sentiment summaries using advanced post-processing tools
- Infrastructure Monitoring — Access your directory of purchased phone numbers and high-fidelity AI voices to oversee your voice communication ecosystem programmatically
The Bland AI MCP Server exposes 12 tools through the Vinkius. Connect it to Google ADK in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
All 12 Bland AI tools available for Google ADK
When Google ADK connects to Bland AI through Vinkius, your AI agent gets direct access to every tool listed below — spanning ai-voice-agent, automated-calling, conversational-ai, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.
Perform post-call analysis
Create a persistent AI persona
Remove an AI persona
Get agent settings
Get details and transcript for a call
List high-fidelity AI voices
List purchased phone numbers
List recent phone calls
List configured AI personas
Send an outbound phone call using an AI agent
Stop an ongoing phone call
Modify agent settings
Connect Bland AI to Google ADK via MCP
Follow these steps to wire Bland AI into Google ADK. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.
Install Google ADK
pip install google-adkReplace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenCreate the agent
Explore tools
Why Use Google ADK with the Bland AI MCP Server
Google ADK provides unique advantages when paired with Bland AI through the Model Context Protocol.
Google ADK natively supports MCP tool servers. declare a tool provider and the framework handles discovery, validation, and execution
Built on Gemini models, ADK provides long-context reasoning ideal for complex multi-tool workflows with Bland AI
Production-ready features like session management, evaluation, and deployment come built-in. not bolted on
Seamless integration with Google Cloud services means you can combine Bland AI tools with BigQuery, Vertex AI, and Cloud Functions
Bland AI + Google ADK Use Cases
Practical scenarios where Google ADK combined with the Bland AI MCP Server delivers measurable value.
Enterprise data agents: ADK agents query Bland AI and cross-reference results with internal databases for comprehensive analysis
Multi-modal workflows: combine Bland AI tool responses with Gemini's vision and language capabilities in a single agent
Automated compliance checks: schedule ADK agents to query Bland AI regularly and flag policy violations or configuration drift
Internal tool platforms: build self-service agent platforms where teams connect their own MCP servers including Bland AI
Example Prompts for Bland AI in Google ADK
Ready-to-use prompts you can give your Google ADK agent to start working with Bland AI immediately.
"Call '+15551234567' and ask if they are still coming to the meeting today at 3 PM."
"Show the transcript and recording for call ID 'call_123'."
"List all my persistent voice agents in Bland AI."
Troubleshooting Bland AI MCP Server with Google ADK
Common issues when connecting Bland AI to Google ADK through the Vinkius, and how to resolve them.
McpToolset not found
pip install --upgrade google-adkBland AI + Google ADK FAQ
Common questions about integrating Bland AI MCP Server with Google ADK.