AI Text Detector
by batmacco.huggingface.batmac/ai-text-detector
Estimate whether text was written by a language model
- Remote endpoint
- 4 tools
- MIT
Uptime
Checked · every day
100%from 5 days of checks
Up without downtime on 5 of 5 days with data.
- No downtime
- Degraded
- Down over 5 minutes
- No data
- Not checked yet
Response time
Median 1197 ms, slowest 5% 1280 ms for the handshake and the tool list, over 30 days.
How far each check got
- Reached the address 100%
- Completed the handshake 100%
- Listed its tools 100%
4 tools at the last answer.
Every day
| Day | Result | Checks | Median |
|---|---|---|---|
| 4 Nov (today) | No downtime | 1 | 1164 ms |
| 3 Nov | No downtime | 1of 1 | 1198 ms |
| 2 Nov | No downtime | 1of 1 | 1203 ms |
| 1 Nov | No downtime | 1of 1 | 1208 ms |
| 31 Oct | No downtime | 2 | 1200 ms |
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://batmac-ai-text-detector.hf.space/gradio_api/mcp/sse Run in a terminal:
claude mcp add --transport sse ai-text-detector https://batmac-ai-text-detector.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": {
"ai-text-detector": {
"url": "https://batmac-ai-text-detector.hf.space/gradio_api/mcp/sse"
}
}
} Add to .vscode/mcp.json:
{
"servers": {
"ai-text-detector": {
"type": "sse",
"url": "https://batmac-ai-text-detector.hf.space/gradio_api/mcp/sse"
}
}
} Add to ~/.config/zed/settings.json:
{
"context_servers": {
"ai-text-detector": {
"url": "https://batmac-ai-text-detector.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": {
"ai-text-detector": {
"type": "sse",
"url": "https://batmac-ai-text-detector.hf.space/gradio_api/mcp/sse"
}
}
} Add to ~/.continue/config.yaml:
mcpServers:
- name: "ai-text-detector"
type: sse
url: "https://batmac-ai-text-detector.hf.space/gradio_api/mcp/sse" Add to ~/.config/goose/config.yaml:
extensions:
"ai-text-detector":
type: streamable_http
name: "ai-text-detector"
enabled: true
uri: "https://batmac-ai-text-detector.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 ai-text-detector --url https://batmac-ai-text-detector.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": {
"ai-text-detector": {
"url": "https://batmac-ai-text-detector.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": {
"ai-text-detector": {
"url": "https://batmac-ai-text-detector.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": {
"ai-text-detector": {
"url": "https://batmac-ai-text-detector.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 AI Text Detector (`co.huggingface.batmac/ai-text-detector`)
Its page: https://plug.directory/servers/co.huggingface.batmac/ai-text-detector
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://batmac-ai-text-detector.hf.space/gradio_api/mcp/sse
```
## Claude Code
Run in a terminal:
```sh
claude mcp add --transport sse ai-text-detector https://batmac-ai-text-detector.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": {
"ai-text-detector": {
"url": "https://batmac-ai-text-detector.hf.space/gradio_api/mcp/sse"
}
}
}
```
## VS Code
Merge into .vscode/mcp.json:
```json
{
"servers": {
"ai-text-detector": {
"type": "sse",
"url": "https://batmac-ai-text-detector.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": {
"ai-text-detector": {
"type": "sse",
"url": "https://batmac-ai-text-detector.hf.space/gradio_api/mcp/sse"
}
}
}
```
## Continue
Merge into ~/.continue/config.yaml:
```yaml
mcpServers:
- name: "ai-text-detector"
type: sse
url: "https://batmac-ai-text-detector.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": {
"ai-text-detector": {
"url": "https://batmac-ai-text-detector.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 4
ai_text_detector__lambda_ai_text_detector_analyzeScore text and report whether a language model likely wrote it. Returns: Highlighted HTML, a Markdown report, and a JSON summary.ai_text_detector_analyze_1Score text and report whether a language model likely wrote it. Returns: Highlighted HTML, a Markdown report, and a JSON summary.ai_text_detector_probe_runtimeReport the runtime this Space runs on. Bound to an invisible button purely to satisfy ZeroGPU's startup scan, which requires at least one decorated handler. The UI never calls it, so no GPU quota is spent; all real inference happens on CPU outside this function.
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