Omnivore (Read-Later) MCP Server for Google ADKGive Google ADK instant access to 4 tools to Get Article, Get Me, Save Url, and more

Name: Omnivore (Read-Later)
Price: 29 USD
Availability: InStock
Rating: 0.2 (1 reviews)
Author: Vinkius

GDPR Free for Subscribers

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

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The Omnivore (Read-Later) MCP Server for Google ADK is a standout in the Productivity category — giving your AI agent 4 tools to work with, ready to go from day one.

Built for AI Agents by Vinkius

Vinkius delivers Streamable HTTP and SSE to any MCP client

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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="omnivore_read_later_agent",
    instruction=(
        "You help users interact with Omnivore (Read-Later) "
        "using 4 available tools."
    ),
    tools=[mcp_tools],
)

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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 Omnivore (Read-Later) MCP Server

Connect your Omnivore account to any AI agent to organize your reading list and extract knowledge from saved articles using natural language.

Google ADK natively supports Omnivore (Read-Later) as an MCP tool provider. declare Vinkius Edge URL and the framework handles discovery, validation, and execution automatically. Combine 4 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

Search & Filter — Use the search_articles tool to find content using labels, folders, or read status (e.g., 'is:unread label:AI')
Full Content Retrieval — Use get_article to fetch the complete text, author, and labels for deep analysis or summarization
Quick Saving — Use save_url to instantly add new web links to your library without leaving your conversation
User Profile — Use get_me to verify your account details and connection status

The Omnivore (Read-Later) MCP Server exposes 4 tools through the Vinkius. Connect it to Google ADK in under two minutes — credentials fully managed, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

All 4 Omnivore (Read-Later) tools available for Google ADK

When Google ADK connects to Omnivore (Read-Later) through Vinkius, your AI agent gets direct access to every tool listed below — spanning read-it-later, content-curation, bookmarking, and more. Every call runs in a secure, isolated environment with full audit visibility. Beyond a simple connection, you get real-time monitoring of agent activity, enterprise governance, and optimized token usage.

get

Get article on Omnivore (Read-Later)

Get full content of a specific article

get

Get me on Omnivore (Read-Later)

Get current Omnivore user details

save

Save url on Omnivore (Read-Later)

Save a URL to Omnivore library

Search articles on Omnivore (Read-Later)

g., label:Newsletter, in:inbox, is:unread, has:highlights) to find articles. Search and filter articles in Omnivore library

Connect Omnivore (Read-Later) to Google ADK via MCP

Follow these steps to wire Omnivore (Read-Later) into Google ADK. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.

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 4 tools from Omnivore (Read-Later) via MCP

Why Use Google ADK with the Omnivore (Read-Later) MCP Server

Google ADK provides unique advantages when paired with Omnivore (Read-Later) 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 Omnivore (Read-Later)

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 Omnivore (Read-Later) tools with BigQuery, Vertex AI, and Cloud Functions

Omnivore (Read-Later) + Google ADK Use Cases

Practical scenarios where Google ADK combined with the Omnivore (Read-Later) MCP Server delivers measurable value.

Enterprise data agents: ADK agents query Omnivore (Read-Later) and cross-reference results with internal databases for comprehensive analysis

Multi-modal workflows: combine Omnivore (Read-Later) tool responses with Gemini's vision and language capabilities in a single agent

Automated compliance checks: schedule ADK agents to query Omnivore (Read-Later) regularly and flag policy violations or configuration drift

Internal tool platforms: build self-service agent platforms where teams connect their own MCP servers including Omnivore (Read-Later)

Example Prompts for Omnivore (Read-Later) in Google ADK

Ready-to-use prompts you can give your Google ADK agent to start working with Omnivore (Read-Later) immediately.

"Search my Omnivore library for unread articles about 'Machine Learning'."

"Fetch the full content of the article with slug 'mcp-guide' for username 'alex_dev'."

"Save the URL 'https://blog.omnivore.app/p/getting-started' to my library."

Troubleshooting Omnivore (Read-Later) MCP Server with Google ADK

Common issues when connecting Omnivore (Read-Later) to Google ADK through Vinkius, and how to resolve them.

McpToolset not found

Update: pip install --upgrade google-adk

Omnivore (Read-Later) + Google ADK FAQ

Common questions about integrating Omnivore (Read-Later) 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.