Can the AI add new resources, approve timesheets, or assign projects?

No, this connector is constructed strictly logically explicitly purely as a read-only data extraction protocol naturally seamlessly securely flawlessly organically natively seamlessly explicitly efficiently. It pulls records, reporting scopes organically completely accurately carefully tightly mapped optimally.

What data can the AI retrieve from Runn?

The integration can list projects, people, roles, teams, milestones, and clients. It provides a comprehensive read-only view of your resource planning data.

Can I see project budgets and utilization rates?

Yes. By querying project details, the AI can surface budget allocations, scheduled hours, and utilization metrics for each project in your Runn workspace.

Runn MCP Server for Google ADK 12 tools — connect in under 2 minutes

Name: Runn
Availability: InStock
Author: Vinkius

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

Built by Vinkius GDPR 12 Tools SDK

Google Agent Development Kit (ADK) is Google's framework for building production AI agents. Add Runn 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="runn_agent",
    instruction=(
        "You help users interact with Runn "
        "using 12 available tools."
    ),
    tools=[mcp_tools],
)

Fully ManagedVinkius Servers

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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 Runn MCP Server

Integrate your conversational AI natively with Runn, the premier real-time resource planning and forecasting platform. This integration enables your assistant to pull essential project metadata, capacity bottlenecks, people configurations, team allocations, and timesheet metrics directly into your sessions.

Google ADK natively supports Runn as an MCP tool provider. declare Vinkius Edge URL and the framework handles discovery, validation, and execution automatically. Combine 12 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

Analyze Projects & Resources — Extract ongoing engagement details, milestones, and client associations by querying lists natively (list_projects, list_clients). Request detailed readouts of individual operational scopes (get_project).
Audit Roles & Assignments — Find exactly who is assigned to what phase, mapping active allocations accurately (list_assignments, list_phases). Consult team members' details (list_people, get_person) or review globally defined roles (list_roles).
Review Budgets & Actuals — Safely extract reported operational logs (list_actuals) to compare planned work versus billed hours. Account for non-working days naturally via the holidays lists (list_holidays).

The Runn MCP Server exposes 12 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 Runn to Google ADK via MCP

Follow these steps to integrate the Runn 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 12 tools from Runn via MCP

Why Use Google ADK with the Runn MCP Server

Google ADK provides unique advantages when paired with Runn 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 Runn

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 Runn tools with BigQuery, Vertex AI, and Cloud Functions

Runn + Google ADK Use Cases

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

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

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

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

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

Runn MCP Tools for Google ADK (12)

These 12 tools become available when you connect Runn to Google ADK via MCP:

get_person

Retrieves details for a specific person

get_project

Retrieves details for a specific project

list_actuals

Lists actual hours logged (timesheet data)

list_assignments

Lists all resource assignments across projects

list_clients

Lists all clients in the organization

list_holidays

Lists public holidays and non-working days

list_milestones

Lists milestones for a specific project

list_people

Lists all people and resources in Runn

list_phases

Lists project phases for a specific project

list_projects

Lists all projects managed in Runn

list_roles

Lists all defined roles/positions

list_teams

Lists all teams in the workspace

Example Prompts for Runn in Google ADK

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

"List all active projects mapped."

"Which team is assigned to the Alpha project next week?"

"What are the upcoming milestones for the Beta project?"

Troubleshooting Runn MCP Server with Google ADK

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

McpToolset not found

Update: pip install --upgrade google-adk

Runn + Google ADK FAQ

Common questions about integrating Runn 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.