Grabset
by abidlabsco.huggingface.abidlabs/grabhub
Grab samples from any HF dataset into a new set
- Remote endpoint
- 5 tools
Uptime
Checked · every day
100%from 4 days of checks
Up without downtime on 4 of 4 days with data.
- No downtime
- Degraded
- Down over 5 minutes
- No data
- Not checked yet
Response time
Median 1115 ms, slowest 5% 1259 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%
5 tools at the last answer.
Every day
| Day | Result | Checks | Median |
|---|---|---|---|
| 3 Nov (today) | No downtime | 1 | 1186 ms |
| 2 Nov | No downtime | 1of 1 | 1048 ms |
| 1 Nov | No downtime | 1of 1 | 1114 ms |
| 31 Oct | No downtime | 2 | 1111 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://abidlabs-grabhub.hf.space/gradio_api/mcp/sse Run in a terminal:
claude mcp add --transport sse grabhub https://abidlabs-grabhub.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": {
"grabhub": {
"url": "https://abidlabs-grabhub.hf.space/gradio_api/mcp/sse"
}
}
} Add to .vscode/mcp.json:
{
"servers": {
"grabhub": {
"type": "sse",
"url": "https://abidlabs-grabhub.hf.space/gradio_api/mcp/sse"
}
}
} Add to ~/.config/zed/settings.json:
{
"context_servers": {
"grabhub": {
"url": "https://abidlabs-grabhub.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": {
"grabhub": {
"type": "sse",
"url": "https://abidlabs-grabhub.hf.space/gradio_api/mcp/sse"
}
}
} Add to ~/.continue/config.yaml:
mcpServers:
- name: "grabhub"
type: sse
url: "https://abidlabs-grabhub.hf.space/gradio_api/mcp/sse" Add to ~/.config/goose/config.yaml:
extensions:
"grabhub":
type: streamable_http
name: "grabhub"
enabled: true
uri: "https://abidlabs-grabhub.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 grabhub --url https://abidlabs-grabhub.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": {
"grabhub": {
"url": "https://abidlabs-grabhub.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": {
"grabhub": {
"url": "https://abidlabs-grabhub.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": {
"grabhub": {
"url": "https://abidlabs-grabhub.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 Grabset (`co.huggingface.abidlabs/grabhub`)
Its page: https://plug.directory/servers/co.huggingface.abidlabs/grabhub
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://abidlabs-grabhub.hf.space/gradio_api/mcp/sse
```
## Claude Code
Run in a terminal:
```sh
claude mcp add --transport sse grabhub https://abidlabs-grabhub.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": {
"grabhub": {
"url": "https://abidlabs-grabhub.hf.space/gradio_api/mcp/sse"
}
}
}
```
## VS Code
Merge into .vscode/mcp.json:
```json
{
"servers": {
"grabhub": {
"type": "sse",
"url": "https://abidlabs-grabhub.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": {
"grabhub": {
"type": "sse",
"url": "https://abidlabs-grabhub.hf.space/gradio_api/mcp/sse"
}
}
}
```
## Continue
Merge into ~/.continue/config.yaml:
```yaml
mcpServers:
- name: "grabhub"
type: sse
url: "https://abidlabs-grabhub.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": {
"grabhub": {
"url": "https://abidlabs-grabhub.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 5
grabhub_build_image_setBuild a LoRA-ready image set: relevant to the query, watermarks and near-duplicates removed, and spread out for variety (DINOv3 subject diversity).grabhub_describe_audio_datasetReturn the fingerprint profile of one catalog dataset: card, facet distributions (language, bandwidth, noise, duration, sounds) and summary stats over its sampled clips.grabhub_route_datasetsRank whole Hugging Face datasets for a query, using their fingerprinted sample index. Returns, for each dataset, its repo, the config/split pairs that contain matching samples, and the best-matching indexed rows ("seeds"). The grabset Python client uses this to decide which rows to stream and embed on the fly.grabhub_search_audio_samplesSearch individual samples across Hugging Face datasets by what they contain. Audio is the first modality indexed (10 datasets); other modalities return no results yet. Each sample was fingerprinted with an audio-LLM caption, CLAP and Jina omni audio embeddings, AudioSet sound tags, Whisper language ID and signal probes (bandwidth, SNR). Results mix samples from different datasets and include pointers (repo, config, split, row_idx) that load the audio with the dataset viewer or `datasets`.grabhub_search_image_samplesSearch individual images across Hugging Face image datasets (styles, photography, characters, edit pairs) by what they show. Each result has a dense caption, structured attributes (medium, shot, camera angle, lighting, palette), aesthetic/NSFW/watermark scores, tags, and a pointer (repo, config, split, row_idx) to the source row.
From Hugging Face Spaces. Report a problem