How do I get an Observe.AI API Key?

You can find your API Key in the Observe.AI dashboard under Settings > API Keys. This token is used as a Bearer Token for authentication.

Can I read full call transcripts through the agent?

Yes! Use the `get_interaction_transcript` tool with a specific Interaction ID to retrieve the full text content of the conversation.

What information is included in the QA evaluations?

Evaluations include the QA form used, individual section scores, overall score, and specific feedback or comments provided by the evaluator.

Observe.AI MCP Server for Google ADK 10 tools — connect in under 2 minutes

Name: Observe.AI
Availability: InStock
Author: Vinkius

google.github.io/adk-docs/tools/mcp-tools

Built by Vinkius GDPR 10 Tools SDK

Google Agent Development Kit (ADK) is Google's framework for building production AI agents. Add Observe.AI as an MCP tool provider through Vinkius and your ADK agents can call every tool with full schema introspection.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

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="observeai_agent",
    instruction=(
        "You help users interact with Observe.AI "
        "using 10 available tools."
    ),
    tools=[mcp_tools],
)

Fully ManagedVinkius Servers

60%Token savings

High SecurityEnterprise-grade

IAMAccess control

EU AI ActCompliant

DLPData protection

V8 IsolateSandboxed

Ed25519Audit chain

<40msKill switch

Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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 Observe.AI MCP Server

Connect your Observe.AI account to your AI agent and gain deep visibility into your contact center performance and conversation intelligence through natural conversation.

Google ADK natively supports Observe.AI as an MCP tool provider. declare Vinkius Edge URL and the framework handles discovery, validation, and execution automatically. Combine 10 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

Interaction Monitoring — List and inspect all calls, chats, and emails processed by the platform, including metadata and analysis.
Full Transcripts — Retrieve the complete text transcripts for any call or chat interaction for detailed review.
QA & Evaluations — Access quality assurance scores, evaluation forms, and individual agent performance metrics.
AI Insights — View automated interaction summaries and identified business moments (e.g., Greetings, Objections).
Coaching Oversight — Monitor agent coaching sessions and feedback logs to track improvement.
Workspace Management — List all agents, supervisors, and admins in your Observe.AI instance.

The Observe.AI MCP Server exposes 10 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.

How to Connect Observe.AI to Google ADK via MCP

Follow these steps to integrate the Observe.AI MCP Server with Google ADK.

Install Google ADK

Run pip install google-adk

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Create the agent

Save the code above and integrate into your ADK workflow

Explore tools

The agent will discover 10 tools from Observe.AI via MCP

Why Use Google ADK with the Observe.AI MCP Server

Google ADK provides unique advantages when paired with Observe.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 Observe.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 Observe.AI tools with BigQuery, Vertex AI, and Cloud Functions

Observe.AI + Google ADK Use Cases

Practical scenarios where Google ADK combined with the Observe.AI MCP Server delivers measurable value.

Enterprise data agents: ADK agents query Observe.AI and cross-reference results with internal databases for comprehensive analysis

Multi-modal workflows: combine Observe.AI tool responses with Gemini's vision and language capabilities in a single agent

Automated compliance checks: schedule ADK agents to query Observe.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 Observe.AI

Observe.AI MCP Tools for Google ADK (10)

These 10 tools become available when you connect Observe.AI to Google ADK via MCP:

get_evaluation_details

Get specific evaluation info

get_interaction_details

Get specific interaction info

get_interaction_transcript

Get interaction transcript

list_coaching_sessions

List agent coaching sessions

list_evaluation_forms

List QA evaluation forms

list_interaction_moments

g. Greeting, Closing) across interactions. List identified key moments

list_interaction_summaries

List AI-generated summaries

list_interactions

AI. List contact center interactions

list_qa_evaluations

List QA evaluations

list_workspace_users

AI workspace. List workspace agents and users

Example Prompts for Observe.AI in Google ADK

Ready-to-use prompts you can give your Google ADK agent to start working with Observe.AI immediately.

"List all recent call interactions from today."

"What is the QA score for interaction ID 'int_12345'?"

"Show me the AI summaries for our latest interactions."

Troubleshooting Observe.AI MCP Server with Google ADK

Common issues when connecting Observe.AI to Google ADK through the Vinkius, and how to resolve them.

McpToolset not found

Update: pip install --upgrade google-adk

Observe.AI + Google ADK FAQ

Common questions about integrating Observe.AI MCP Server with Google ADK.

How does Google ADK connect to MCP servers?

Import the MCP toolset class and pass the server URL. ADK discovers and registers all tools automatically, making them available to your agent's tool-use loop.

Can ADK agents use multiple MCP servers?

Yes. Declare multiple MCP tool providers in your agent configuration. ADK merges all tool schemas and the agent can call tools from any server in a single turn.

Which Gemini models work best with MCP tools?

Gemini 2.0 Flash and Pro models both support function calling required for MCP tools. Flash is recommended for latency-sensitive use cases, Pro for complex reasoning.