Text Readability Scorer MCP Server for Google ADKGive Google ADK instant access to 1 tools to Readability Scorer
GDPR Free for SubscribersGoogle Agent Development Kit (ADK) is Google's framework for building production AI agents. Add Text Readability Scorer as an MCP tool provider through Vinkius and your ADK agents can call every tool with full schema introspection.
Ask AI about this MCP Server for Google ADK
The Text Readability Scorer MCP Server for Google ADK is a standout in the Productivity category — giving your AI agent 1 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
Geminifrom 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="text_readability_scorer_agent",
instruction=(
"You help users interact with Text Readability Scorer "
"using 1 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 Text Readability Scorer MCP Server
You ask your AI copywriter: 'Is this blog post easy to read?' It says 'Yes, it is very engaging!' Then you run it through a real SEO tool and it scores at a university reading level — killing your mobile bounce rate.
Google ADK natively supports Text Readability Scorer as an MCP tool provider. declare Vinkius Edge URL and the framework handles discovery, validation, and execution automatically. Combine 1 tools with Gemini's long-context reasoning for complex multi-tool workflows, with production-ready session management and evaluation built in.
LLMs cannot accurately count syllables or calculate sentence complexity. This MCP uses the text-readability library to execute standard linguistic formulas, providing mathematical proof of how difficult your text is to read.
The Superpowers
- Flesch-Kincaid Grade Level: The industry standard. Returns a number corresponding to the US grade level (e.g., 8.2 = 8th grade).
- Flesch Reading Ease: A 0-100 scale where higher is easier. Essential for broad audience copy.
- Multiple Algorithms: Also calculates Gunning Fog, Coleman-Liau, SMOG, and Automated Readability Index (ARI).
- Consensus Evaluation: Automatically aggregates all scores to give you a definitive target audience level.
The Text Readability Scorer MCP Server exposes 1 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 1 Text Readability Scorer tools available for Google ADK
When Google ADK connects to Text Readability Scorer through Vinkius, your AI agent gets direct access to every tool listed below — spanning linguistics, readability-metrics, text-analysis, 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.
Readability scorer on Text Readability Scorer
Essential for SEO, marketing, and legal compliance. Calculate rigorous readability metrics for any text (Flesch-Kincaid, Gunning Fog, SMOG, etc.)
Connect Text Readability Scorer to Google ADK via MCP
Follow these steps to wire Text Readability Scorer into Google ADK. The entire setup takes under two minutes — your credentials stay safe behind 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 Text Readability Scorer MCP Server
Google ADK provides unique advantages when paired with Text Readability Scorer 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 Text Readability Scorer
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 Text Readability Scorer tools with BigQuery, Vertex AI, and Cloud Functions
Text Readability Scorer + Google ADK Use Cases
Practical scenarios where Google ADK combined with the Text Readability Scorer MCP Server delivers measurable value.
Enterprise data agents: ADK agents query Text Readability Scorer and cross-reference results with internal databases for comprehensive analysis
Multi-modal workflows: combine Text Readability Scorer tool responses with Gemini's vision and language capabilities in a single agent
Automated compliance checks: schedule ADK agents to query Text Readability Scorer regularly and flag policy violations or configuration drift
Internal tool platforms: build self-service agent platforms where teams connect their own MCP servers including Text Readability Scorer
Example Prompts for Text Readability Scorer in Google ADK
Ready-to-use prompts you can give your Google ADK agent to start working with Text Readability Scorer immediately.
"Analyze this landing page copy. We need it to be at an 8th-grade reading level to maximize conversions."
"Our legal team says the new Terms of Service must be readable by a 6th grader. Verify the text."
"Check the SMOG Index and Gunning Fog for this medical article before we publish it."
Troubleshooting Text Readability Scorer MCP Server with Google ADK
Common issues when connecting Text Readability Scorer to Google ADK through Vinkius, and how to resolve them.
McpToolset not found
pip install --upgrade google-adkText Readability Scorer + Google ADK FAQ
Common questions about integrating Text Readability Scorer MCP Server with Google ADK.
How does Google ADK connect to MCP servers?
Can ADK agents use multiple MCP servers?
Which Gemini models work best with MCP tools?
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