Pika MCP Server for Cursor 10 tools — connect in under 2 minutes
Cursor is an AI-first code editor built on VS Code that integrates LLM-powered coding assistance directly into the development workflow. Its Agent mode enables autonomous multi-step coding tasks, and MCP support lets agents access external data sources and APIs during code generation.
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The modern way to manage MCP Servers — no config files, no terminal commands. Install Pika and 2,500+ MCP Servers from a single visual interface.
{
"mcpServers": {
"pika": {
"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
}
}
}
* 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.
Cursor's Agent mode turns Pika into an in-editor superpower. Ask Cursor to generate code using live data from Pika and it fetches, processes, and writes. all in a single agentic loop. 10 tools appear alongside file editing and terminal access, creating a unified development environment grounded in real-time information.
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 Cursor 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 Cursor via MCP
Follow these steps to integrate the Pika MCP Server with Cursor.
Open MCP Settings
Press Cmd+Shift+P (macOS) or Ctrl+Shift+P (Windows/Linux) → search "MCP Settings"
Add the server config
Paste the JSON configuration above into the mcp.json file that opens
Save the file
Cursor will automatically detect the new MCP server
Start using Pika
Open Agent mode in chat and ask: "Using Pika, help me...". 10 tools available
Why Use Cursor with the Pika MCP Server
Cursor AI Code Editor provides unique advantages when paired with Pika through the Model Context Protocol.
Agent mode turns Cursor into an autonomous coding assistant that can read files, run commands, and call MCP tools without switching context
Cursor's Composer feature can generate entire files using real-time data fetched through MCP. no copy-pasting from external dashboards
MCP tools appear alongside built-in tools like file reading and terminal access, creating a unified agentic environment
VS Code extension compatibility means your existing workflow, keybindings, and extensions all work alongside MCP tools
Pika + Cursor Use Cases
Practical scenarios where Cursor combined with the Pika MCP Server delivers measurable value.
Code generation with live data: ask Cursor to generate a security report module using live DNS and subdomain data fetched through MCP
Automated documentation: have Cursor query your API's tool schemas and generate TypeScript interfaces or OpenAPI specs automatically
Infrastructure-as-code: Cursor can fetch domain configurations and generate corresponding Terraform or CloudFormation templates
Test scaffolding: ask Cursor to pull real API responses via MCP and generate unit test fixtures from actual data
Pika MCP Tools for Cursor (10)
These 10 tools become available when you connect Pika to Cursor 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 Cursor
Ready-to-use prompts you can give your Cursor 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 Cursor
Common issues when connecting Pika to Cursor through the Vinkius, and how to resolve them.
Tools not appearing in Cursor
Server shows as disconnected
Pika + Cursor FAQ
Common questions about integrating Pika MCP Server with Cursor.
What is Agent mode and why does it matter for MCP?
Where does Cursor store MCP configuration?
mcp.json file. You can configure servers at the project level (.cursor/mcp.json in your project root) or globally (~/.cursor/mcp.json). Project-level configs take precedence.Can Cursor use MCP tools in inline edits?
How do I verify MCP tools are loaded?
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 Cursor
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.