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Vinkius

Pika MCP Server for Mastra AI 10 tools — connect in under 2 minutes

Built by Vinkius GDPR 10 Tools SDK

Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect Pika through Vinkius and Mastra agents discover all tools automatically. type-safe, streaming-ready, and deployable anywhere Node.js runs.

Vinkius supports streamable HTTP and SSE.

typescript
import { Agent } from "@mastra/core/agent";
import { createMCPClient } from "@mastra/mcp";
import { openai } from "@ai-sdk/openai";

async function main() {
  // Your Vinkius token. get it at cloud.vinkius.com
  const mcpClient = await createMCPClient({
    servers: {
      "pika": {
        url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
      },
    },
  });

  const tools = await mcpClient.getTools();
  const agent = new Agent({
    name: "Pika Agent",
    instructions:
      "You help users interact with Pika " +
      "using 10 tools.",
    model: openai("gpt-4o"),
    tools,
  });

  const result = await agent.generate(
    "What can I do with Pika?"
  );
  console.log(result.text);
}

main();
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.

Mastra's agent abstraction provides a clean separation between LLM logic and Pika tool infrastructure. Connect 10 tools through Vinkius and use Mastra's built-in workflow engine to chain tool calls with conditional logic, retries, and parallel execution. deployable to any Node.js host in one command.

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 Mastra AI 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 Mastra AI via MCP

Follow these steps to integrate the Pika MCP Server with Mastra AI.

01

Install dependencies

Run npm install @mastra/core @mastra/mcp @ai-sdk/openai

02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

03

Run the agent

Save to agent.ts and run with npx tsx agent.ts

04

Explore tools

Mastra discovers 10 tools from Pika via MCP

Why Use Mastra AI with the Pika MCP Server

Mastra AI provides unique advantages when paired with Pika through the Model Context Protocol.

01

Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure. add Pika without touching business code

02

Built-in workflow engine chains MCP tool calls with conditional logic, retries, and parallel execution for complex automation

03

TypeScript-native: full type inference for every Pika tool response with IDE autocomplete and compile-time checks

04

One-command deployment to any Node.js host. Vercel, Railway, Fly.io, or your own infrastructure

Pika + Mastra AI Use Cases

Practical scenarios where Mastra AI combined with the Pika MCP Server delivers measurable value.

01

Automated workflows: build multi-step agents that query Pika, process results, and trigger downstream actions in a typed pipeline

02

SaaS integrations: embed Pika as a first-class tool in your product's AI features with Mastra's clean agent API

03

Background jobs: schedule Mastra agents to query Pika on a cron and store results in your database automatically

04

Multi-agent systems: create specialist agents that collaborate using Pika tools alongside other MCP servers

Pika MCP Tools for Mastra AI (10)

These 10 tools become available when you connect Pika to Mastra AI 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 Mastra AI

Ready-to-use prompts you can give your Mastra AI 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 Mastra AI

Common issues when connecting Pika to Mastra AI through the Vinkius, and how to resolve them.

01

createMCPClient not exported

Install: npm install @mastra/mcp

Pika + Mastra AI FAQ

Common questions about integrating Pika MCP Server with Mastra AI.

01

How does Mastra AI connect to MCP servers?

Create an MCPClient with the server URL and pass it to your agent. Mastra discovers all tools and makes them available with full TypeScript types.
02

Can Mastra agents use tools from multiple servers?

Yes. Pass multiple MCP clients to the agent constructor. Mastra merges all tool schemas and the agent can call any tool from any server.
03

Does Mastra support workflow orchestration?

Yes. Mastra has a built-in workflow engine that lets you chain MCP tool calls with branching logic, error handling, and parallel execution.

Connect Pika to Mastra AI

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