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Pika MCP Server for Google ADK 10 tools — connect in under 2 minutes

Built by Vinkius GDPR 10 Tools SDK

Google Agent Development Kit (ADK) is Google's framework for building production AI agents. Add Pika 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="pika_agent",
    instruction=(
        "You help users interact with Pika "
        "using 10 available tools."
    ),
    tools=[mcp_tools],
)
Pika
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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 Pika MCP Server

Connect your Pika 2.2 fal.ai endpoint to your AI agent and construct a massive programmatic video production studio relying solely on natural language commands.

Google ADK natively supports Pika as an MCP tool provider. declare Vinkius Edge URL and the framework handles discovery, validation, and execution automatically. Combine 10 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

  • Video Generation — Turn raw language concepts perfectly into high-fidelity video scenes applying generate_video_from_text, or use generate_video_with_duration to specify specific clip timing.
  • Image Animation — Revitalize stagnant 2D images by using animate_image and interpolate_keyframes to build professional fluid motion sequences.
  • Post-Production Effects — Morph characters dynamically using apply_visual_effects to add squish, melt, and deflation rendering directly via chat.
  • Audio Capabilities — Instruct your AI to compose targeted soundscapes using generate_sound_effects, or perfectly align vocal dubs to characters utilizing lip_sync_video.
  • Job Control — Queue heavy programmatic generations, and poll their render completion employing get_job_status and get_job_result directly from the terminal.

The Pika MCP Server exposes 10 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 Pika to Google ADK via MCP

Follow these steps to integrate the Pika 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 10 tools from Pika via MCP

Why Use Google ADK with the Pika MCP Server

Google ADK provides unique advantages when paired with Pika 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 Pika

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 Pika tools with BigQuery, Vertex AI, and Cloud Functions

Pika + Google ADK Use Cases

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

01

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

02

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

03

Automated compliance checks: schedule ADK agents to query Pika 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 Pika

Pika MCP Tools for Google ADK (10)

These 10 tools become available when you connect Pika to Google ADK via MCP:

01

animate_image

Animate a still image into a video using Pika Labs 2.2. Brings photos to life with AI-generated motion. Instructions: Pass image URL and prompt for motion direction

02

apply_visual_effects

Apply visual effects to an image using Pika Effects. Transforms images with cinematic effects. Instructions: Pass image URL and effect type

03

generate_multi_image_scene

Create multi-reference video scenes using Pika Scenes. Combines multiple images into a coherent video. Instructions: Pass comma-separated image URLs and prompt

04

generate_sound_effects

Generate AI sound effects for a video using Pika Labs. Auto-detects scene and adds appropriate SFX. Instructions: Pass video URL

05

generate_video_from_text

2 foundation node. Generate a video from a text prompt using Pika Labs 2.2 via fal.ai. Pika creates cinematic AI videos with smooth motion. Returns request_id for async polling. Instructions: Pass prompt. Poll get_job_status for completion

06

generate_video_with_duration

Generate video with duration control using Pika 2.2. Specify exact duration in seconds. Instructions: Pass prompt and duration

07

get_job_result

Get the final result of a completed Pika generation. Returns video URL and metadata. Instructions: Call after status is COMPLETED

08

get_job_status

ai ledgers confirm render bounds. Get the status of a Pika generation request. Returns status (IN_QUEUE/IN_PROGRESS/COMPLETED). Instructions: Poll until COMPLETED

09

interpolate_keyframes

Create smooth interpolation between keyframe images using Pika Frames. Generates transitional video between 2+ keyframes. Instructions: Pass comma-separated image URLs and prompt

10

lip_sync_video

Lip-sync a video to audio using Pika Labs. Matches mouth movements to speech. Instructions: Pass video URL and audio URL

Example Prompts for Pika in Google ADK

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

01

"Generate a 5-second video of a cyberpunk city floating in neon clouds."

02

"Apply the 'melt' visual effect to the job ID pk-1029."

03

"Check the status of task pk-1029 and fetch the video link if it's done."

Troubleshooting Pika MCP Server with Google ADK

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

01

McpToolset not found

Update: pip install --upgrade google-adk

Pika + Google ADK FAQ

Common questions about integrating Pika 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 Pika to Google ADK

Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.