Fliki MCP. Turn scripts into videos and audio, all from your chat agent.
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Fliki (AI Text-to-Video & Speech API) MCP Server lets you generate high-quality videos and AI voices directly from text. Use your AI client to run full video production workflows—from listing available voices to generating a finished video—all without leaving the chat.
It supports custom aspect ratios (16:9, 9:16, 1:1) and tracks job status until you get the final download link.
What your AI agents can do
Generate video
Creates a video using a text script, letting you specify the voice, aspect ratio, and background music.
Get video
Checks the status of a video job and retrieves the download link when the video is ready.
List voices
Provides a list of all available AI voices and details about their supported languages.
The agent creates a video using generate_video based on your script, allowing you to select a specific voice, aspect ratio, and background music.
You use get_video to monitor the status of a video task, getting a download link once the generation process finishes.
The agent runs list_voices to retrieve a list of available AI voices and confirm which languages they support.
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Fliki (AI Text-to-Video & Speech API) MCP Server: 3 Tools
Use these tools to manage the full lifecycle of video content, from listing available voices to generating and retrieving the final video asset.
019e5d1bgenerate video
Creates a video using a text script, letting you specify the voice, aspect ratio, and background music.
019e5d1bget video
Checks the status of a video job and retrieves the download link when the video is ready.
019e5d1blist voices
Provides a list of all available AI voices and details about their supported languages.
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What you can do with this MCP connector
Fliki lets your AI client run full video production workflows right from the chat. You can turn a simple script into a finished video, picking the voice, the aspect ratio, and the background music all in one go. You'll use generate_video to create a video from any text script, letting you specify the voice, aspect ratio, and background music.
You can also use list_voices to get a list of all available AI voices and see which languages they support. To track what's going on with a video job, you'll run get_video, which monitors the task status and gives you the final download link when the video's done.
How Fliki MCP Works
- 1 First, run
list_voicesto find the specific AI voice and language you need for the script. - 2 Next, call
generate_video, providing the script content, the chosen voice ID, aspect ratio, and background music. - 3 Finally, use
get_videowith the returned task ID to poll the status until the video status is 'completed' and the download link is available.
The bottom line is, your AI client handles the multi-step process of generating, tracking, and retrieving your video assets.
Who Is Fliki MCP For?
Content creators who need to turn long articles or blog posts into video drafts fast. Marketing teams building campaigns that require promotional clips across multiple social platforms. Developers building automated media pipelines into existing AI workflows.
Turns raw scripts or blog posts into video drafts inside the chat interface, eliminating the need to switch tools.
Automates the creation of promotional video clips, ensuring they fit the exact aspect ratios (9:16, 1:1, 16:9) for different social platforms.
Integrates automated video and speech generation into production AI workflows, using the structured calls from the MCP server.
What Changes When You Connect
- You convert text to video and audio using
generate_video. You simply provide the script and let the tool handle the rest, adding custom voices and background music. - The
list_voicestool lets you test different voices. You can check which languages are available and pick the perfect tone for your brand before you start generating. - You manage complex video jobs using
get_video. You don't have to guess if it's done; the tool monitors the process and gives you a direct download link when it's finished. - It handles multiple social formats. You run
generate_videoand specify the aspect ratio (9:16 for TikTok, 1:1 for Instagram, 16:9 for YouTube) in one call. - It speeds up content drafts. Instead of copying a blog post into a video editor, your AI agent runs
generate_videoand builds the first draft right in the chat. - It centralizes workflows. You run all the necessary steps—checking voices, generating the video, and tracking the status—all through your AI agent, not through a series of separate API calls.
Real-World Use Cases
Need to turn a blog post into a YouTube video
A content creator has a finished blog article. They ask their agent to generate a 16:9 video using generate_video and select a professional voice. The agent handles the script to video conversion, saving the creator from manually using a separate video platform.
Building a multi-platform ad campaign
A marketing team needs three versions of a promo video for social media. They use the agent to run generate_video three times, changing the aspect ratio (9:16, 1:1, 16:9) for each platform, all while tracking the job status with get_video.
Testing different voice options for a podcast ad
A copywriter needs to decide if a male or female voice works best for a podcast ad. They first run list_voices to compare tones, then select the best one, and finally use generate_video to create the test clip.
Automating video assets for a new product launch
A developer integrates this into a production pipeline. The agent calls generate_video for the product script, and then uses get_video to ensure the video asset is ready before triggering the next step in the workflow.
The Tradeoffs
Manual, multi-site workflow
Copying the script from Notion to a video editor, logging into a separate voice generator, and manually checking the status in a third dashboard.
→
Use your AI agent. Let it run list_voices first. Then, send the script and parameters to generate_video. Finally, use get_video to track the result. It keeps everything in one place.
Assuming instant video generation
Calling generate_video and immediately expecting a finished video link. This fails because video rendering takes time.
→
Remember the process flow. Call generate_video to start the job. Then, you must wait and repeatedly check the status using get_video until it shows 'completed'. Don't expect an instant result.
Forgetting format requirements
Creating one video draft and assuming it works for TikTok. This fails because you need the specific 9:16 aspect ratio.
→
When using generate_video, always specify the exact aspect ratio for the target platform. This ensures the video is sized correctly for social media or web use.
When It Fits, When It Doesn't
Use this if your goal is to build a structured, multi-step media pipeline that needs to handle text-to-speech and text-to-video. You need to manage the state of a long-running process (i.e., generating a video takes minutes). Specifically, you need the sequential logic of: 1) identifying resources (list_voices), 2) initiating the job (generate_video), and 3) polling/checking the result (get_video).
Don't use this if you just need simple text-to-speech output (use a dedicated text-to-speech API) or if your video needs to be assembled from pre-existing raw footage (use a traditional video editing suite). This server is for automated, script-driven content generation.
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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Works with Claude, ChatGPT, Cursor, and more
The Model Context Protocol standardizes how applications expose capabilities to LLMs. Instead of operating in isolation, your AI gains direct access to external platforms, live data, and real-world actions through secure, standardized connections.
This server provides 3 capabilities that interface natively with Claude, ChatGPT, Cursor, and any MCP client. No middleware. No custom integration required.
Available Capabilities
Video creation shouldn't require four different SaaS tools.
Today, turning a blog post into a promo video means juggling a bunch of separate services. You copy the script from your CMS, paste it into a voice generator, download the audio, paste that audio into a video editor, and then manually try to align all the clips and add music. It's a huge amount of copy-pasting and logging into different dashboards.
With the Fliki MCP server, you just talk to your agent. You give it the text, and it runs the whole sequence. It handles the voice selection, the video assembly, and the music—all in one go. You get the finished, branded video asset.
Fliki (AI Text-to-Video & Speech API) MCP Server: Video and Voice Tools
You ditch the manual steps of voice selection and rendering. Instead of opening three different apps, your agent executes `list_voices` to confirm language support, then uses `generate_video` with the correct parameters, and finally uses `get_video` to retrieve the finished file. It’s a single, integrated flow.
The difference now is that your AI agent acts as the single point of control. It manages the complex, multi-stage process for you, from script to final download link.
Common Questions About Fliki MCP
How do I use the `generate_video` tool with a specific aspect ratio? +
You pass the desired aspect ratio (e.g., 9:16, 1:1, 16:9) as a parameter when calling generate_video. This ensures the video is correctly framed for the intended platform.
Is the video created by `generate_video` instantly available? +
No. Generating a video is a background job. When you call generate_video, you get a task ID. You must then use the get_video tool with that ID to monitor the status until it says 'completed'.
Which tool should I use to find supported languages? +
Run list_voices. This tool provides a comprehensive list of available AI voices, letting you see which languages and styles they support before you write the script.
Can I use multiple voices in one video? +
The generate_video tool is designed to use one primary voice per generation run. You must use list_voices to select the single voice ID you want to use for that specific video.
When I use `get_video`, how do I find out if the video generation failed? +
The get_video tool returns specific status codes for failures. Look for 'failed' status and the error message provided. This tells you whether the issue was with the script, voice, or other parameters.
What information does `list_voices` provide about each AI voice? +
The list_voices tool gives you the voice name, its supported language, and whether it supports SSML parameters. This helps you select a voice that matches both your linguistic needs and required styling.
Does `generate_video` support background music uploads? +
Yes, generate_video handles background music. You can provide a URL or local file reference for the music, and the tool integrates it into the final video output.
How do I handle large scripts when calling `generate_video`? +
For long scripts, break the content into smaller segments. Generate multiple videos and then stitch them together outside the MCP flow. This prevents API timeouts and keeps the process stable.
How can I see which AI voices are available for my video? +
Use the list_voices tool. It will return a full list of available AI voices along with their supported languages, helping you choose the right one for the generate_video action.
Can I track the progress of a video I just started generating? +
Yes! After starting a generation, use the get_video tool with the unique video ID. It will tell you if the video is 'queued', 'processing', or 'completed'.
How do I specify the video format, like for Instagram Reels or YouTube? +
When using generate_video, you can provide the aspectRatio parameter. Use '9:16' for Reels/TikTok, '16:9' for YouTube, or '1:1' for square posts.
Use it with your favorite AI tools
Connect this server to Cursor, Claude, VS Code, and more.
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