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Meltwater MCP Server for Google ADK 10 tools — connect in under 2 minutes

Built by Vinkius GDPR 10 Tools SDK

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

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="meltwater_agent",
    instruction=(
        "You help users interact with Meltwater "
        "using 10 available tools."
    ),
    tools=[mcp_tools],
)
Meltwater
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 Meltwater MCP Server

Connect your Meltwater account to any AI agent and take full control of your media intelligence and social monitoring through natural conversation.

Google ADK natively supports Meltwater 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

  • Content Search — Perform keyword searches across news and social media streams in real-time
  • Social Monitoring — Retrieve detailed metadata, sentiment, and reach for specific mentions
  • Analytics & Reporting — Access aggregated performance metrics and AI-driven insights for your searches
  • Organization — Manage tags, folders, and saved searches to streamline your monitoring workflow
  • Data Connectivity — List media sources and available content exports directly from your agent

The Meltwater 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 Meltwater to Google ADK via MCP

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

01

Install Google ADK

Run pip install google-adk

02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

03

Create the agent

Save the code above and integrate into your ADK workflow

04

Explore tools

The agent will discover 10 tools from Meltwater via MCP

Why Use Google ADK with the Meltwater MCP Server

Google ADK provides unique advantages when paired with Meltwater through the Model Context Protocol.

01

Google ADK natively supports MCP tool servers. declare a tool provider and the framework handles discovery, validation, and execution

02

Built on Gemini models, ADK provides long-context reasoning ideal for complex multi-tool workflows with Meltwater

03

Production-ready features like session management, evaluation, and deployment come built-in. not bolted on

04

Seamless integration with Google Cloud services means you can combine Meltwater tools with BigQuery, Vertex AI, and Cloud Functions

Meltwater + Google ADK Use Cases

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

01

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

02

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

03

Automated compliance checks: schedule ADK agents to query Meltwater regularly and flag policy violations or configuration drift

04

Internal tool platforms: build self-service agent platforms where teams connect their own MCP servers including Meltwater

Meltwater MCP Tools for Google ADK (10)

These 10 tools become available when you connect Meltwater to Google ADK via MCP:

01

get_media_insights

Get high-level media insights

02

get_mention_details

Get details for a specific mention

03

get_search_analytics

Get analytics for a search

04

get_search_details

Get details for a saved search

05

list_content_exports

List available content exports

06

list_folders

List all account folders

07

list_media_sources

List tracked media sources

08

list_saved_searches

List all saved searches

09

list_tags

List all organizational tags

10

search_content

Search news and social media content

Example Prompts for Meltwater in Google ADK

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

01

"Search for recent news about 'Artificial Intelligence'."

02

"What is the sentiment for my brand search ID 123?"

03

"List all saved searches in my Meltwater account."

Troubleshooting Meltwater MCP Server with Google ADK

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

01

McpToolset not found

Update: pip install --upgrade google-adk

Meltwater + Google ADK FAQ

Common questions about integrating Meltwater MCP Server with Google ADK.

01

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.
02

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.
03

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.

Connect Meltwater to Google ADK

Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.