Synthesia MCP Server for CrewAI 10 tools — connect in under 2 minutes
Connect your CrewAI agents to Synthesia through the Vinkius — pass the Edge URL in the `mcps` parameter and every Synthesia tool is auto-discovered at runtime. No credentials to manage, no infrastructure to maintain.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
from crewai import Agent, Task, Crew
agent = Agent(
role="Synthesia Specialist",
goal="Help users interact with Synthesia effectively",
backstory=(
"You are an expert at leveraging Synthesia tools "
"for automation and data analysis."
),
# Your Vinkius token — get it at cloud.vinkius.com
mcps=["https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"],
)
task = Task(
description=(
"Explore all available tools in Synthesia "
"and summarize their capabilities."
),
agent=agent,
expected_output=(
"A detailed summary of 10 available tools "
"and what they can do."
),
)
crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result)
* 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 Synthesia MCP Server
Bring the full power of synthetic enterprise video generation directly into your conversational environment with the Synthesia MCP connector. By granting your LLM authorized operational access to the Synthesia API matrix, you transform your assistant into a virtual studio director. Programmatically retrieve active templates, inspect available voice models, spawn new avatar streams from zero, or dub existing media seamlessly without navigating away from your terminal interface.
When paired with CrewAI, Synthesia becomes a first-class tool in your multi-agent workflows. Each agent in the crew can call Synthesia tools autonomously — one agent queries data, another analyzes results, a third compiles reports — all orchestrated through the Vinkius with zero configuration overhead.
What you can do
- Virtual Directing — Instantiate real-time video renderings using
create_avatar_video, mapping structural inputs to specific avatar matrices found vialist_avatars. - Template Automation — Process repetitive layouts logically calling
create_video_from_template, assigning JSON payloads seamlessly over defined blueprints. - Studio Lifecycle Management — Query active rendering progress cleanly with
get_video_detailsand prune discarded tracks strictly invokingdelete_video. - Localization & Dubbing — Effortlessly pull native voice ranges (
list_voices) and trigger AI localized dubbing routines targeting existing records utilizingdub_video.
The Synthesia MCP Server exposes 10 tools through the Vinkius. Connect it to CrewAI 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 Synthesia to CrewAI via MCP
Follow these steps to integrate the Synthesia MCP Server with CrewAI.
Install CrewAI
Run pip install crewai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com
Customize the agent
Adjust the role, goal, and backstory to fit your use case
Run the crew
Run python crew.py — CrewAI auto-discovers 10 tools from Synthesia
Why Use CrewAI with the Synthesia MCP Server
CrewAI Multi-Agent Orchestration Framework provides unique advantages when paired with Synthesia through the Model Context Protocol.
Multi-agent collaboration lets you decompose complex workflows into specialized roles — one agent researches, another analyzes, a third generates reports — each with access to MCP tools
CrewAI's native MCP integration requires zero adapter code: pass the Vinkius Edge URL directly in the `mcps` parameter and agents auto-discover every available tool at runtime
Built-in task delegation and shared memory mean agents can pass context between steps without manual state management, enabling multi-hop reasoning across tool calls
Sequential and hierarchical crew patterns map naturally to real-world workflows: enumerate subdomains → analyze DNS history → check WHOIS records → compile findings into actionable reports
Synthesia + CrewAI Use Cases
Practical scenarios where CrewAI combined with the Synthesia MCP Server delivers measurable value.
Automated multi-step research: a reconnaissance agent queries Synthesia for raw data, then a second analyst agent cross-references findings and flags anomalies — all without human handoff
Scheduled intelligence reports: set up a crew that periodically queries Synthesia, analyzes trends over time, and generates executive briefings in markdown or PDF format
Multi-source enrichment pipelines: chain Synthesia tools with other MCP servers in the same crew, letting agents correlate data across multiple providers in a single workflow
Compliance and audit automation: a compliance agent queries Synthesia against predefined policy rules, generates deviation reports, and routes findings to the appropriate team
Synthesia MCP Tools for CrewAI (10)
These 10 tools become available when you connect Synthesia to CrewAI via MCP:
create_avatar_video
Returns a video ID. Creates an AI avatar video from a script
create_video_from_template
Returns a video ID. Creates a video using a pre-defined Synthesia template
delete_video
This action is irreversible. Permanently deletes a Synthesia video
dub_video
Dubs an existing video into another language
get_template_details
Retrieves details for a specific template
get_video_details
Retrieves status and details for a specific video
list_avatars
Lists all available AI avatars
list_templates
Lists available video templates
list_videos
Lists all videos in the account
list_voices
Lists available AI voices
Example Prompts for Synthesia in CrewAI
Ready-to-use prompts you can give your CrewAI agent to start working with Synthesia immediately.
"Give me a list of internal AI video templates, select one related to 'customer support', and execute a creation pass using proper test inputs."
"List the available AI avatars, focusing on professional corporate styles."
"Check the status of my recent video task 'vid-9920'."
Troubleshooting Synthesia MCP Server with CrewAI
Common issues when connecting Synthesia to CrewAI through the Vinkius, and how to resolve them.
MCP tools not discovered
Agent not using tools
Timeout errors
Rate limiting or 429 errors
Synthesia + CrewAI FAQ
Common questions about integrating Synthesia MCP Server with CrewAI.
How does CrewAI discover and connect to MCP tools?
tools/list method. This means tools are always fresh and reflect the server's current capabilities. No tool schemas need to be hardcoded.Can different agents in the same crew use different MCP servers?
mcps list, so you can assign specific servers to specific roles. For example, a reconnaissance agent might use a domain intelligence server while an analysis agent uses a vulnerability database server.What happens when an MCP tool call fails during a crew run?
Can CrewAI agents call multiple MCP tools in parallel?
process=Process.parallel, each calling different MCP tools concurrently. This is ideal for workflows where separate data sources need to be queried simultaneously.Can I run CrewAI crews on a schedule (cron)?
crew.kickoff() method runs synchronously by default, making it straightforward to integrate into existing pipelines.Connect Synthesia 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 Synthesia to CrewAI
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.
