How to Use the Moody's MCP in Google ADK

Q: How do I pull issuer details using Moody's and Google ADK?

The getissuerdetails tool retrieves the full organization profile. Your Google ADK agent calls this tool using the resolved entity ID to fetch business descriptions and corporate hierarchies.

Q: Can I verify specific bond structures with Moody's and Google ADK?

Yes, you call getissuedetails to retrieve the terms of specific debt issues. Your Google ADK agent processes this data to check maturity dates and coupon rates against your portfolio limits.

Q: How does the Moody's MCP Server resolve credit rating scales in Google ADK?

The getratingreference tool translates specific symbols into standardized risk categories. Your Google ADK agent queries this tool to ensure your automated dashboards use uniform risk definitions.

Q: How do I restrict which tools are exposed to my agent?

You use the toolnames filter in the McpToolset configuration. This limits the Google ADK agent to specific endpoints like listissuerratings while hiding administrative tools.

Feed Moody's credit ratings and issuer data directly into Google ADK agents for enterprise-grade analytics.

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Connect Moody's MCP to Google ADK

Create your Vinkius account to connect Moody's to Google ADK and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup Moody's with Google ADK

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Cross-Reference BigQuery Data using Google ADK

The `search_entities` tool matches your internal corporate tables in BigQuery with Moody's official entity IDs using our MCP Server. This integration prevents manual data mapping. Once the agent resolves the entity ID, it updates your BigQuery records with verified identifiers to maintain database integrity.

Analyze Large Portfolios with Google ADK and MCP

The `list_issuer_ratings` tool extracts risk profiles for hundreds of companies in a single execution run. The Google ADK takes advantage of Gemini's long-context window to analyze these ratings alongside your historical transaction data. Your agent processes these complex risk profiles without hitting token limits.

Track Real-Time Rating Actions

The `list_rating_actions` tool pulls the most recent credit adjustments from Moody's via this MCP Server. The agent pairs this feed with `get_market_segments` to isolate risk trends in specific industries. This keeps your portfolio managers informed of sector-wide credit shifts without manual tracking.

Setup guide

Set up Moody's MCP in Google ADK

Prerequisites

Python 3.10+ installed
google-adk package (pip install google-adk)
Active Vinkius subscription with a valid endpoint token

1

Install Google ADK

Run pip install google-adk to install the Agent Development Kit. MCP support is included via the McpToolset class.
2

Connect via SSE transport

Use McpToolset.from_server() with SseServerParams pointing to your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Create an LlmAgent

Pass the returned mcp_tools list directly to LlmAgent(tools=mcp_tools). The ADK maps each MCP tool to a native Gemini function call — no manual schema definitions required.
4

Run with any Gemini model

The agent works with any Gemini model (gemini-2.0-flash, gemini-2.5-pro, etc.). Copy the full example on the right to get started with Moody's tools in your ADK agent.

agent.py

from google.adk.agents import LlmAgent
from google.adk.tools.mcp_tool.mcp_toolset import McpToolset
from google.adk.tools.mcp_tool.mcp_session_manager import SseServerParams

# Connect to the MCP via SSE
mcp_tools, exit_stack = await McpToolset.from_server(
    connection_params=SseServerParams(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    )
)

# Create your agent with auto-discovered tools
agent = LlmAgent(
    name="Moody's_agent",
    model="gemini-2.0-flash",
    instruction="You have access to Moody's tools via MCP.",
    tools=mcp_tools,
)

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Moody's. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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Common questions about Moody's MCP in Google ADK

The `get_issuer_details` tool retrieves the full organization profile. Your Google ADK agent calls this tool using the resolved entity ID to fetch business descriptions and corporate hierarchies.

Yes, you call `get_issue_details` to retrieve the terms of specific debt issues. Your Google ADK agent processes this data to check maturity dates and coupon rates against your portfolio limits.

The `get_rating_reference` tool translates specific symbols into standardized risk categories. Your Google ADK agent queries this tool to ensure your automated dashboards use uniform risk definitions.

You use the `tool_names` filter in the `McpToolset` configuration. This limits the Google ADK agent to specific endpoints like `list_issuer_ratings` while hiding administrative tools.

All rating metrics and issuer data are processed in an ephemeral V8 sandbox. The MCP Server uses secure, single-token authentication, ensuring no raw credentials or proprietary credit profiles leak into public models.

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