Audio-Driven Portrait Animations
- Remote endpoint
- 1 tool
Uptime
Checked · every day
0%from 9 days of checks
Up without downtime on 0 of 8 days with data; down 10109 minutes in all, the longest 1440 minutes on 31 October.
- No downtime
- Degraded
- Down over 5 minutes
- No data
- Not checked yet
How far each check got
- Reached the address 95.0%
- Completed the handshake 0.0%
- Listed its tools 0.0%
Every day
| Day | Result | Checks | Median |
|---|---|---|---|
| 7 Nov (today) | No verdict yet | 0 | – |
| 6 Nov | Down 1440 minutes | 1of 1 | – |
| 5 Nov | Down 1440 minutes | 1of 1 | – |
| 4 Nov | Down 1440 minutes | 1of 1 | – |
| 3 Nov | Down 1440 minutes | 1of 1 | – |
| 2 Nov | Down 1440 minutes | 1of 1 | – |
| 1 Nov | Down 1440 minutes | 1of 1 | – |
| 31 Oct | Down 1440 minutes | 8of 1 | – |
| 30 Oct | Down 29 minutes | 6 | – |
A failure counts as down time only when a second check five minutes later fails too. How we check
Connect to the publisher's own endpoint
Paste into Settings › Connectors › Add custom connector:
https://viralanalyzer-echomimic-duda.hf.space/gradio_api/mcp/sse Run in a terminal:
claude mcp add --transport sse echomimic-duda https://viralanalyzer-echomimic-duda.hf.space/gradio_api/mcp/sse Add to ~/.cursor/mcp.json:
Add to ~/.config/devin/mcp_config.json:
Add to mcp.json (Program › Install › Edit mcp.json):
Add to ~/.gemini/settings.json:
Add to config.json in oterm's data folder (~/Library/Application Support/oterm on macOS, ~/.local/share/oterm on Linux, %APPDATA%\oterm on Windows):
Add to ~/.config/eca/config.json (global) or .eca/config.json in the project:
{
"mcpServers": {
"echomimic-duda": {
"url": "https://viralanalyzer-echomimic-duda.hf.space/gradio_api/mcp/sse"
}
}
} Add to .vscode/mcp.json:
{
"servers": {
"echomimic-duda": {
"type": "sse",
"url": "https://viralanalyzer-echomimic-duda.hf.space/gradio_api/mcp/sse"
}
}
} Add to ~/.config/zed/settings.json:
{
"context_servers": {
"echomimic-duda": {
"url": "https://viralanalyzer-echomimic-duda.hf.space/gradio_api/mcp/sse"
}
}
} This server's endpoint speaks only SSE, which this client's documentation does not list among its transports; use another client for it.
Add to cline_mcp_settings.json (MCP Servers › Configure › Configure MCP Servers):
Add to anythingllm_mcp_servers.json in the AnythingLLM storage plugins directory:
Add to Augment Settings Panel – MCP section – Import from JSON (VS Code extension):
{
"mcpServers": {
"echomimic-duda": {
"type": "sse",
"url": "https://viralanalyzer-echomimic-duda.hf.space/gradio_api/mcp/sse"
}
}
} Add to ~/.continue/config.yaml:
mcpServers:
- name: "echomimic-duda"
type: sse
url: "https://viralanalyzer-echomimic-duda.hf.space/gradio_api/mcp/sse" Add to ~/.config/goose/config.yaml:
extensions:
"echomimic-duda":
type: streamable_http
name: "echomimic-duda"
enabled: true
uri: "https://viralanalyzer-echomimic-duda.hf.space/gradio_api/mcp/sse"
headers: {}
env_keys: []
envs: {}
timeout: 300 This server's endpoint speaks only SSE, which this client's documentation does not list among its transports; use another client for it.
Run in a terminal:
codex mcp add echomimic-duda --url https://viralanalyzer-echomimic-duda.hf.space/gradio_api/mcp/sse This server's endpoint speaks only SSE, which this client's documentation does not list among its transports; use another client for it.
Add to ~/.llm/config.json:
Add to resources/assets/config/mcp.json in the installed app:
Add to ~/.boltai/mcp.json:
Add to ~/.bob/settings/mcp.json (global) or .bob/mcp.json (project):
Add to ~/.kiro/settings/mcp.json (user) or .kiro/settings/mcp.json (workspace):
Add to ~/.kiro/settings/mcp.json (user) or .kiro/settings/mcp.json (workspace):
{
"mcpServers": {
"echomimic-duda": {
"url": "https://viralanalyzer-echomimic-duda.hf.space/gradio_api/mcp/sse"
}
}
} This server's endpoint speaks only SSE, which this client's documentation does not list among its transports; use another client for it.
Add to ~/.config/agenvoy/mcp.json:
{
"servers": {
"echomimic-duda": {
"url": "https://viralanalyzer-echomimic-duda.hf.space/gradio_api/mcp/sse"
}
}
} This server's endpoint speaks only SSE, which this client's documentation does not list among its transports; use another client for it.
Add to ~/.config/amp/settings.json (user) or .amp/settings.json (workspace):
{
"amp.mcpServers": {
"echomimic-duda": {
"url": "https://viralanalyzer-echomimic-duda.hf.space/gradio_api/mcp/sse"
}
}
} For agents: the install prompt
Every step above as one Markdown text, for an assistant installing it for you.
# Install the MCP server EchoMimic (`co.huggingface.viralanalyzer/echomimic-duda`)
Its page: https://plug.directory/servers/co.huggingface.viralanalyzer/echomimic-duda
It runs on the publisher's servers; the client connects to its URL.
Use the section for the person's client.
## Claude Desktop
Paste into Settings › Connectors › Add custom connector:
```text
https://viralanalyzer-echomimic-duda.hf.space/gradio_api/mcp/sse
```
## Claude Code
Run in a terminal:
```sh
claude mcp add --transport sse echomimic-duda https://viralanalyzer-echomimic-duda.hf.space/gradio_api/mcp/sse
```
## Cursor, Devin Desktop, LM Studio, Gemini CLI, oterm, ECA
Merge into the place for the person's client:
- Cursor: ~/.cursor/mcp.json
- Devin Desktop: ~/.config/devin/mcp_config.json
- LM Studio: mcp.json (Program › Install › Edit mcp.json)
- Gemini CLI: ~/.gemini/settings.json
- oterm: config.json in oterm's data folder (~/Library/Application Support/oterm on macOS, ~/.local/share/oterm on Linux, %APPDATA%\oterm on Windows)
- ECA: ~/.config/eca/config.json (global) or .eca/config.json in the project
```json
{
"mcpServers": {
"echomimic-duda": {
"url": "https://viralanalyzer-echomimic-duda.hf.space/gradio_api/mcp/sse"
}
}
}
```
## VS Code
Merge into .vscode/mcp.json:
```json
{
"servers": {
"echomimic-duda": {
"type": "sse",
"url": "https://viralanalyzer-echomimic-duda.hf.space/gradio_api/mcp/sse"
}
}
}
```
## Zed
This server's endpoint speaks only SSE, which this client's documentation does not list among its transports; use another client for it.
## Cline, AnythingLLM, Augment Code
Merge into the place for the person's client:
- Cline: cline_mcp_settings.json (MCP Servers › Configure › Configure MCP Servers)
- AnythingLLM: anythingllm_mcp_servers.json in the AnythingLLM storage plugins directory
- Augment Code: Augment Settings Panel – MCP section – Import from JSON (VS Code extension)
```json
{
"mcpServers": {
"echomimic-duda": {
"type": "sse",
"url": "https://viralanalyzer-echomimic-duda.hf.space/gradio_api/mcp/sse"
}
}
}
```
## Continue
Merge into ~/.continue/config.yaml:
```yaml
mcpServers:
- name: "echomimic-duda"
type: sse
url: "https://viralanalyzer-echomimic-duda.hf.space/gradio_api/mcp/sse"
```
## Goose
This server's endpoint speaks only SSE, which this client's documentation does not list among its transports; use another client for it.
## Codex
This server's endpoint speaks only SSE, which this client's documentation does not list among its transports; use another client for it.
## mcp-client-cli, TUUI, BoltAI, Bob Shell, Kiro, Kiro CLI
This server's endpoint speaks only SSE, which this client's documentation does not list among its transports; use another client for it.
## Agenvoy
This server's endpoint speaks only SSE, which this client's documentation does not list among its transports; use another client for it.
## Amp
Merge into ~/.config/amp/settings.json (user) or .amp/settings.json (workspace):
```json
{
"amp.mcpServers": {
"echomimic-duda": {
"url": "https://viralanalyzer-echomimic-duda.hf.space/gradio_api/mcp/sse"
}
}
}
```
Then restart the client, or reload its MCP servers, and ask it to list the server's tools to confirm it started.
Tools 1
echomimic_duda_generate_videoGenerate a realistic lip-synced talking head video from a static reference image and a voice audio file. This function takes an image of a face and an audio clip, then generates a video where the face in the image is animated to match the speech in the audio. It uses EchoMimic's pipeline with configurable parameters for generation quality, length, and face conditioning. If a user passes a file as an input, use the upload_file_to_gradio tool, if present, to upload the file to the gradio app and create a Gradio File Input. Then use the returned path as the input to the tool. Returns: str: File path to the final output video with synchronized audio., Notes:, - Input image should clearly show a single face, ideally centered and facing forward., - Audio should be speech or vocals; music or noise may produce unpredictable results., - The function trims audio to 5 seconds in shared UI mode to reduce compute time., - This function is designed to work on a GPU-enabled environment for optimal pe
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