Forecast MCP Server for Google ADK 6 tools — connect in under 2 minutes
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.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
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],
)
* 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.
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 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.
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 Forecast
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 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.
Enterprise data agents: ADK agents query Forecast and cross-reference results with internal databases for comprehensive analysis
Multi-modal workflows: combine Forecast tool responses with Gemini's vision and language capabilities in a single agent
Automated compliance checks: schedule ADK agents to query Forecast regularly and flag policy violations or configuration drift
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:
get_project
Get project details
list_clients
List clients
list_milestones
List milestones
list_people
List people
list_projects
List projects
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.
"List all active projects in Forecast"
"Show me the tasks for project 'API V2 Development'"
"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.
McpToolset not found
pip install --upgrade google-adkForecast + Google ADK FAQ
Common questions about integrating Forecast 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?
Connect Forecast with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
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.
