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Forecast MCP Server for Google ADK 6 tools — connect in under 2 minutes

Built by Vinkius GDPR 6 Tools SDK

Google Agent Development Kit (ADK) is Google's framework for building production AI agents. Add Forecast 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="forecast_agent",
    instruction=(
        "You help users interact with Forecast "
        "using 6 available tools."
    ),
    tools=[mcp_tools],
)
Forecast
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 Forecast MCP Server

Connect your Forecast.app account to any AI agent and take full control of your resource management and project scheduling through natural conversation.

Google ADK natively supports Forecast as an MCP tool provider. declare Vinkius Edge URL and the framework handles discovery, validation, and execution automatically. Combine 6 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

  • Project Orchestration — Retrieve the global array of all managed projects and fetch comprehensive scheduling and resource states belonging to specific project IDs natively
  • Task Lifecycle Auditing — Enumerate specific physical tasks allocated under project IDs to track work completion and identify bottlenecks synchronously
  • Personnel Oversight — Fetch physical identity definitions and availability constraints of global members to manage team utilization and workload limits securely
  • Client Relationship Mapping — Extract explicit client relationships mapped to projects inside your account to manage stakeholder communications flawlessly
  • Milestone Tracking — Identify timebox markers bounding specific sprint or deliverable targets to ensure project timelines remain within active boundaries
  • Resource Allocation Discovery — Analyze specific localized variables decoding active assignments and extracting hidden structural constraints across your portfolio
  • Operational Metadata retrieval — Access global account metadata and project-level attributes to verify workspace configurations natively

The Forecast MCP Server exposes 6 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 Forecast to Google ADK via MCP

Follow these steps to integrate the Forecast 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 6 tools from Forecast via MCP

Why Use Google ADK with the Forecast MCP Server

Google ADK provides unique advantages when paired with Forecast 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 Forecast

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 Forecast tools with BigQuery, Vertex AI, and Cloud Functions

Forecast + Google ADK Use Cases

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

01

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

02

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

03

Automated compliance checks: schedule ADK agents to query Forecast 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 Forecast

Forecast MCP Tools for Google ADK (6)

These 6 tools become available when you connect Forecast to Google ADK via MCP:

01

get_project

Get project details

02

list_clients

List clients

03

list_milestones

List milestones

04

list_people

List people

05

list_projects

List projects

06

list_tasks

List tasks

Example Prompts for Forecast in Google ADK

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

01

"List all active projects in Forecast"

02

"Show me the tasks for project 'API V2 Development'"

03

"Who is available this week for a new assignment?"

Troubleshooting Forecast MCP Server with Google ADK

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

01

McpToolset not found

Update: pip install --upgrade google-adk

Forecast + Google ADK FAQ

Common questions about integrating Forecast 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 Forecast to Google ADK

Get your token, paste the configuration, and start using 6 tools in under 2 minutes. No API key management needed.