WebRobot Ltd → Agentic ETL AI Big-data Science Automation In
WebRobot Ltd → Agentic ETL AI Big-data Science Automation In
Agentic ETL AI-based, data pipeline-assisted, scalable infrastructure for data science automation, mining, analytics, LLM fine-tuning, and data-driven companies
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For AI agents — MCPBundles Directory API
Recommended: Directory API v1 over HTTP for detail and anonymous invoke when eligible (not MCP JSON-RPC on the publisher URL; no user MCPBundles credentials on v1).
GET https://www.mcpbundles.com/api/directory/v1/servers/webrobot-mcp-ba31a50335
GET https://www.mcpbundles.com/api/directory/v1/servers/webrobot-mcp-ba31a50335?live=1 (optional live refresh)
GET https://www.mcpbundles.com/api/directory/v1/servers/webrobot-mcp-ba31a50335/tools/<tool> (one tool: schema + invoke.url)
POST https://www.mcpbundles.com/api/directory/v1/servers/webrobot-mcp-ba31a50335/tools/{tool}
POST body: flat JSON of tool argument names and values; not an arguments wrapper. Replace {tool} with a tool name from GET detail.
Restricted agent shell (ChatGPT Codex desktop, some IDE sandboxes):
Default command sandboxes often block outbound network. curl exit 6 or "Could not resolve host" for www.mcpbundles.com is usually sandbox DNS — not evidence this site is down.
Retry the same Directory API GET with sandbox_permissions "require_escalated" and a one-sentence justification on the shell tool (Codex on-request approval). Do not tell the user the site is unreachable from sandbox curl alone.
Example justification: Run the public MCPBundles Directory API search outside the command sandbox to complete the user's MCP server lookup.
If the agent has browser access (e.g. Codex @Browser): open https://www.mcpbundles.com/?q=<query> or stay on this page — no shell network needed. Use WebMCP search_mcp_servers then get_mcp_server (document.modelContext / page tools; refresh with fetchTools or getTools if a tool id is missing from the snapshot). Read-only directory search; same index as Directory API v1 GETs. Neither WebMCP nor Directory API v1 uses user MCPBundles credentials.
Without a browser: after escalated curl fails, use GET https://www.mcpbundles.com/?q=<query> with Accept: text/markdown for ranked results.
Hub MCP (connected session): discover_mcp_servers — same filter semantics as search_mcp_servers.
Contract: https://www.mcpbundles.com/agents.md
OpenAPI: https://www.mcpbundles.com/api/directory/v1/openapi.json
Guide: https://www.mcpbundles.com/guides/mcpbundles-directory-api
For MCP client apps (human connect):
MCP connect URL: https://mcp.webrobot.eu/mcp
Skill page: https://www.mcpbundles.com/skills/webrobot-mcp-ba31a50335
Explore capabilities (21)
other 21
Wizard
4
Rag
2
Other capabilities
15
Cleanup Stale Byoc Secrets
other
cleanupStaleByocSecrets
Executes POST /webrobot/api/demo/agentic/byoc/cleanup-stale-secrets
Cleanup Stale Byoc Secrets — Executes POST /webrobot/api/demo/agentic/byoc/cleanup-stale-secrets
Execution Detail — Executes GET /webrobot/api/demo/agentic/executions/{eid}
List Demos — Executes GET /webrobot/api/demo/agentic/list
Run Demo — Executes POST /webrobot/api/demo/agentic/run/{profile-name}
Validate Hetzner Token — Executes POST /webrobot/api/demo/agentic/byoc/validate-hetzner-token
Answer Form — Executes GET /webrobot/api/demo/hitl/{id}/answer
Submit Answer — Executes POST /webrobot/api/demo/hitl/{id}/answer
Upload Dataset — Upload a CSV dataset via JSON (NOT multipart) and create a demo input
dataset. Pass the raw CSV text in `csv` (first line = header). Returns
{datasetId, name, ...}; pass the returned datasetId to executeDemo /
saveGeneratedPipeline as the pipeline input.
Replaces the auto-generated multipart upload-dataset tool, which fails
over MCP with HTTP 415 (JSON-RPC can't send multipart/form-data). Demo
scope is size-capped; for large/org-scoped uploads use the authenticated
main API (/webrobot/api/datas
Generate Pipeline — Generate a pipeline manifest from a natural-language description.
Returns {pipeline_name, pipeline_yaml}.
Save Generated Pipeline — Save a pipeline (upsert by name as 'Generated: <name>'). execute=True also
runs it; dataset_id attaches a pre-uploaded input dataset.
Wizard Validate — VALIDATE a pipeline YAML on Camoufox (dry-run) and return sample rows.
NB the field is `yaml` (full pipeline YAML), not pipeline_yaml. session_id
reuses a live designer session. Returns {valid, records, record_count, steps}.
Get your MCP into directories
A working endpoint is step one. Directory coverage is the coordinated launch across ChatGPT, Claude, Cursor, the MCP Registry, and community indexes.
What is the WebRobot Ltd → Agentic ETL AI Big-data Science Automation In MCP server?
Agentic ETL AI-based, data pipeline-assisted, scalable infrastructure for data science automation, mining, analytics, LLM fine-tuning, and data-driven companies
How do I connect WebRobot Ltd → Agentic ETL AI Big-data Science Automation In to my AI agent?
Use the MCP endpoint listed on this page in your MCP client configuration. One-click install pills support Claude, Cursor, VS Code, and other hosts. Copy the remote MCP URL if your client needs a manual entry.
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More in developer tools
Other MCP servers in this category from the directory index
Execute Demo — Run a saved demo pipeline. limit clamped 5–10. execution_mode 'shared'
(default) or 'byoc' (needs hetzner_api_key → runs on the user's Hetzner VMs).
`engine`: set to "scrapy" to run a SMALL ingestion-only pipeline (fetch/wget/visit/
explore/join/flatSelect/extract — NO analytics/LLM/intelligent stages) on the
lightweight Scrapy engine (Ray, no code-gen) instead of the default distributed
Spark engine; rejected (with the unsupported stages) if the pipeline needs analytics.
Omit `engine` for the d
Infer Variables — Detect templatizable variables (keywords in url/selectors) to bind to a
dataset column for a per-row sweep. Returns {variables:[...]}.
Apply Variables — Persist a templatized pipeline (rewrites + saves the parameterized YAML).
Cmf Open — Open a URL in a fresh Camoufox designer session (returns session_id +
rewritten html). country = ISO-2 geo (DataImpulse __cr.<country> proxy).
Wizard Infer Selector — Infer a CSS selector for `intent` on a page (pass url OR pre-rendered html).
Wizard Infer Fields — Infer field selectors (comma-list `intent`) within an optional
container_selector (flatSelect segment → relative selectors).
Wizard Infer Segment — Infer the repeating-row segment selector (PTA) for flatSelect. url OR html.
Rag Query — Retrieve the top-k most relevant knowledge/style chunks from an external
RAG index (LlamaCloud) to GROUND the answer in uploaded documents — pure
retrieval, the agent itself reasons over the returned chunks.
index_name selects the per-profile knowledge index (e.g. a founder's own
index). top_k clamps how many chunks to return (default 5). Optional
project_name (default 'webrobot') and metadata filters {key: value}.
Returns {hits: [{text, score, metadata}], count, index_name}. The provider
API k
Web Search — Search the web (Google) to find pages/sites/context that SUPPORT setting
up a scrape — locate a target listing/detail page, find docs, or verify a
fact. Returns {results:[{title, link, snippet, source}]}. This is discovery
only; scrape the chosen URL with the WebRobot pipeline/Camoufox tools.
Rag Index Status — Indexing status of the documents in a RAG index (LlamaCloud parses +
embeds asynchronously). Returns {total, indexed, ready, by_status,
files:[{name,status}]}. Poll until ready=true before relying on ragQuery.
How many tools does WebRobot Ltd → Agentic ETL AI Big-data Science Automation In provide?
MCPBundles probed 21 tools on the live server. The tool list on this page reflects what was discovered at the last refresh — connect your client to see the full set available to your session.
What authentication does WebRobot Ltd → Agentic ETL AI Big-data Science Automation In require?
No provider sign-in was required during MCPBundles' probe. Your client may still need MCPBundles credentials depending on how you connect.
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