Pika MCP Server for OpenAI Agents SDK 10 tools — connect in under 2 minutes
The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Pika through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerStreamableHttp
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
async with MCPServerStreamableHttp(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
) as mcp_server:
agent = Agent(
name="Pika Assistant",
instructions=(
"You help users interact with Pika. "
"You have access to 10 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from Pika"
)
print(result.final_output)
asyncio.run(main())
* 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.
The OpenAI Agents SDK auto-discovers all 10 tools from Pika through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Pika, another analyzes results, and a third generates reports, all orchestrated through Vinkius.
What you can do
- Video Generation — Turn raw language concepts perfectly into high-fidelity video scenes applying
generate_video_from_text, or usegenerate_video_with_durationto specify specific clip timing. - Image Animation — Revitalize stagnant 2D images by using
animate_imageandinterpolate_keyframesto build professional fluid motion sequences. - Post-Production Effects — Morph characters dynamically using
apply_visual_effectsto 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 utilizinglip_sync_video. - Job Control — Queue heavy programmatic generations, and poll their render completion employing
get_job_statusandget_job_resultdirectly from the terminal.
The Pika MCP Server exposes 10 tools through the Vinkius. Connect it to OpenAI Agents SDK 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 OpenAI Agents SDK via MCP
Follow these steps to integrate the Pika MCP Server with OpenAI Agents SDK.
Install the SDK
Run pip install openai-agents in your Python environment
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com
Run the script
Save the code above and run it: python agent.py
Explore tools
The agent will automatically discover 10 tools from Pika
Why Use OpenAI Agents SDK with the Pika MCP Server
OpenAI Agents SDK provides unique advantages when paired with Pika through the Model Context Protocol.
Native MCP integration via `MCPServerSse`, pass the URL and the SDK auto-discovers all tools with full type safety
Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure
Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate
First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output
Pika + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the Pika MCP Server delivers measurable value.
Automated workflows: build agents that query Pika, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents. one queries Pika, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through Pika tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query Pika to resolve tickets, look up records, and update statuses without human intervention
Pika MCP Tools for OpenAI Agents SDK (10)
These 10 tools become available when you connect Pika to OpenAI Agents SDK via MCP:
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
apply_visual_effects
Apply visual effects to an image using Pika Effects. Transforms images with cinematic effects. Instructions: Pass image URL and effect type
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
generate_sound_effects
Generate AI sound effects for a video using Pika Labs. Auto-detects scene and adds appropriate SFX. Instructions: Pass video URL
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
generate_video_with_duration
Generate video with duration control using Pika 2.2. Specify exact duration in seconds. Instructions: Pass prompt and duration
get_job_result
Get the final result of a completed Pika generation. Returns video URL and metadata. Instructions: Call after status is COMPLETED
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
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
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 OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with Pika immediately.
"Generate a 5-second video of a cyberpunk city floating in neon clouds."
"Apply the 'melt' visual effect to the job ID pk-1029."
"Check the status of task pk-1029 and fetch the video link if it's done."
Troubleshooting Pika MCP Server with OpenAI Agents SDK
Common issues when connecting Pika to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
Pika + OpenAI Agents SDK FAQ
Common questions about integrating Pika MCP Server with OpenAI Agents SDK.
How does the OpenAI Agents SDK connect to MCP?
MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.Can I use multiple MCP servers in one agent?
MCPServerSse instances to the agent constructor. The agent can use tools from all connected servers within a single run.Does the SDK support streaming responses?
Connect Pika 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 Pika to OpenAI Agents SDK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.
