How to Use the Fliki (AI Text-to-Video & Speech API) MCP in CrewAI

Q: How do I filter tools for Fliki (AI Text-to-Video & Speech API) in CrewAI?

Use the toolfilter option in your agent setup. This lets you restrict access to only the specific tools you need for the crew.

Deploy specialized agents for video production using CrewAI. Let your crew manage scripts, voices, and rendering automatically.

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Connect Fliki (AI Text-to-Video & Speech API) MCP to CrewAI

Create your Vinkius account to connect Fliki (AI Text-to-Video & Speech API) to CrewAI and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup Fliki (AI Text-to-Video & Speech API) with CrewAI

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Autonomous video generation with CrewAI

Assign the `generate_video` tool to a specialized agent. It takes the script from your research agent and starts the production process immediately. This removes the need for you to oversee the task. The agent manages the entire lifecycle of the request.

Status tracking for CrewAI agents

The moderator agent uses `get_video` to verify completion. Once the video is ready, the agent can trigger the next phase of the operation. It works in the background. Your crew continues working on other tasks until the render is confirmed.

Voice library access for CrewAI

Agents call `list_voices` to select the right speaker for the task. This ensures your crew always uses approved voices for each video. It's fully automated. No human needs to check the list manually.

Setup guide

Set up Fliki (AI Text-to-Video & Speech API) MCP in CrewAI

Prerequisites

Python 3.10+ installed
crewai package (pip install crewai)
Active Vinkius subscription with a valid endpoint token

1

Install CrewAI
Run pip install crewai to install the framework. MCP support is built-in via the mcps parameter.
2

Add the MCP URL to your agent
Pass your Vinkius endpoint directly to the mcps list. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. CrewAI handles tool discovery and caching automatically.
3

Kick off your crew
Create a Crew with your agent and tasks. Call crew.kickoff() — the agent will automatically invoke Fliki (AI Text-to-Video & Speech API) tools as needed.

crew.py

from crewai import Agent, Task, Crew

agent = Agent(
    role="Fliki (AI Text-to-Video & Speech API) Analyst",
    goal="Access and analyze Fliki (AI Text-to-Video & Speech API) data via MCP.",
    backstory="Expert analyst with direct Fliki (AI Text-to-Video & Speech API) access.",
    mcps=[
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ],
)

task = Task(
    description="List recent Fliki (AI Text-to-Video & Speech API) transactions",
    agent=agent,
    expected_output="A summary of recent activity",
)

crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result)

Get your connection token →

Prerequisites

Python 3.10+ installed
crewai + crewai-tools packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run pip install crewai crewai-tools. The MCPServerAdapter handles lifecycle management and tool conversion.
2

Connect with MCPServerAdapter
Use MCPServerAdapter as a context manager with SseServerParameters pointing to your Vinkius endpoint. The adapter automatically manages connection lifecycle.
3

Assign tools and run
Pass the returned mcp_tools to your agent's tools parameter. The adapter converts MCP tools to native BaseTool objects compatible with all CrewAI agents.

crew.py

from crewai import Agent, Task, Crew
from crewai_tools import MCPServerAdapter
from mcp import SseServerParameters

server_params = SseServerParameters(
    url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)

with MCPServerAdapter(server_params) as mcp_tools:
    agent = Agent(
        role="Fliki (AI Text-to-Video & Speech API) Analyst",
        goal="Access and analyze Fliki (AI Text-to-Video & Speech API) data via MCP.",
        backstory="Expert analyst with direct Fliki (AI Text-to-Video & Speech API) access.",
        tools=mcp_tools,
    )

    task = Task(
        description="List recent Fliki (AI Text-to-Video & Speech API) transactions",
        agent=agent,
        expected_output="A summary of recent activity",
    )

    crew = Crew(agents=[agent], tasks=[task])
    result = crew.kickoff()
    print(result)

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Fliki. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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Common questions about Fliki (AI Text-to-Video & Speech API) MCP in CrewAI

It does. By adding the MCP server to your agent's configuration, you give them direct access to video and speech generation.

Yes. Once configured, your agents can decide when to generate a video based on the goals you set for them.

Use the tool_filter option in your agent setup. This lets you restrict access to only the specific tools you need for the crew.

All communication occurs within a secure, zero-trust sandbox. Your content is ephemeral and cleared after the session ends.

If a call to the server fails, the agent logs the issue. You can set up a manager agent to handle these exceptions.

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