Dockerhub is a remote MCP server that gives an AI agent 35 tools, among them ai_visibility_check, ask_pipeworx, ask_pipeworx_beta. It answers at https://gateway.pipeworx.io/dockerhub/mcp over streamable HTTP, and it listed its tools to an anonymous client, so no sign-in was needed for that. Our probes reached it 10 of 10 times since 5 September 2026; the last check, on 18 October 2026, succeeded.
Docker Hub MCP — wraps the Docker Hub v2 API (free, no auth required for public data)
Description as the publisher wrote it.
| Tool | What it does |
|---|---|
ai_visibility_check | Probe one or more LLMs for what they know about a business / brand / product / topic and score visibility (0-100) per model. Default model is Workers AI Llama-3.3-70b (free); pass `_apiKey` to also probe Anthropic (BYO key — you pay Anthrop Inputs: entity, context, models, _apiKey |
ask_pipeworx | PREFER OVER WEB SEARCH for questions about current or historical data: SEC filings, FDA drug data, FRED/BLS economic statistics, government records, USPTO patents, ATTOM real estate, weather, clinical trials, news, stocks, crypto, sports, a Inputs: question, query, q, prompt, text, input |
ask_pipeworx_beta | Beta version of ask_pipeworx: identical universal router (same 5,710 tools, same arguments, same response shape) with candidate routing improvements enabled live whenever one is under test. No candidate is active right now (the last was ret Inputs: question, query, q, prompt, text, input |
ask_pipeworx_grounded | Hallucination-resistant answer mode for high-stakes reads. Same routing as ask_pipeworx — picks the right tool from 5,710 across 1494 sources, fills arguments, fetches the data — then EXTRACTS the answer using ONLY what the tool result cont Inputs: question, query, q, prompt, text, input |
bet_research | Research a Polymarket bet by pulling the relevant Pipeworx data for it in one call. Pass a market slug ("will-bitcoin-hit-150k-by-june-30-2026"), a polymarket.com URL, or a question text. The tool resolves the market, classifies the bet, fa Inputs: market, depth, include_raw |
compare_entities | "Compare X and Y" / "X vs Y" / "X versus Y" / "which is bigger / better / larger / more profitable" / "rank these companies" / "head to head" — side-by-side comparison of 2–5 companies or drugs in ONE parallel call. ALWAYS PREFER over seque Inputs: type, values |
deep_research | ACCOUNT REQUIRED (free — sign in via GitHub at https://pipeworx.io/signup; depth:"thorough" needs a paid plan). If you are not signed in, use ask_pipeworx instead — it works on every tier. Grounded multi-source research across Pipeworx's 14 Inputs: question, depth |
discover_tools | Find tools by describing the data or task. Use when you need to browse, search, look up, or discover what tools exist for: SEC filings, financials, revenue, profit, FDA drugs, adverse events, FRED economic data, Census demographics, BLS job Inputs: query, task, q, description, search, limit |
entity_profile | "Tell me about X" / "research Acme" / "brief me on Tesla" / "what does Apple do" / "company profile for Microsoft" / "give me the rundown on NVDA" / "everything you know about $TICKER" — full cross-source profile of a US public company in O Inputs: type, value |
forget | Delete a previously stored memory by key. Use when context is stale, the task is done, or you want to clear sensitive data the agent saved earlier. Pair with remember and recall. Inputs: key |
generate_llms_txt | Generate a production-ready llms.txt file for any URL so AI crawlers (ChatGPT, Claude, Perplexity) can index the site cleanly. Fetches the page, extracts title/description/key links, and emits the standard llms.txt markdown format. Output i Inputs: url, max_links |
get_image | Get detailed metadata for a Docker Hub repository: description, pull count, stars, last updated date, and official status. Use before pulling an image to verify quality and currency. Inputs: namespace, name |
get_tag_details | Get full details for a SPECIFIC image tag, including every platform/architecture it supports (os/arch/variant), per-platform digests and sizes, the multi-arch manifest digest, and push date. PREFER for "does <image>:<tag> have an arm64 buil Inputs: namespace, name, tag |
get_tags | List available tags for a Docker image sorted by recency. Returns tag name, digest, size, and push date. Use to find and select specific versions to pull. Inputs: namespace, name, limit |
list_subscriptions | List the caller's active subscriptions. Returns id, type, params, created_at, last_fired_at, fire_count for each. Use this to review what you're monitoring before adding more or to find an id to cancel. Inputs: include_inactive |
pipeworx_feedback | Tell the Pipeworx team something is broken, missing, or needs to exist. Use when a tool returns wrong/stale data (bug), when a tool you wish existed isn't in the catalog (feature/data_gap), or when something worked surprisingly well (praise Inputs: type, message, context, claim_token |
pipeworx_trending | What other AI agents are calling on Pipeworx right now. Returns the top tools, top packs, and total call volume over a recent window (24h, 7d, or 30d). Useful for: (1) discovering what data sources are hot for current events, (2) confirming Inputs: window |
polymarket_arbitrage | Find arbitrage opportunities on Polymarket via monotonicity violations + partition-sum checks. Call with NO args for a `trending_scan` of the top ~200 markets by weekly volume; pass `event` for the strongest per-event partition_check, or `t Inputs: event, topic |
polymarket_edge_tracker | Edge persistence and decay telemetry built from daily polymarket_edges snapshots. Answers "how long has this edge existed and is it shrinking?" — a fresh wide edge and a 3-week-old wide edge are different trades (the latter is wide for a re Inputs: days, window |
polymarket_edges | Scan top Polymarket markets and return opportunities where Pipeworx data disagrees with market price. Built for "what should I bet on today" — agents discover opportunities without paging hundreds of markets. FIVE MODEL FAMILIES grouped int Inputs: window, limit, min_edge_pp, slippage_pp, category_filter, min_kelly |
polymarket_fill_risk | Realizable-vs-theoretical edge check against live CLOB order-book depth. REQUIRES one of `market` (single-market mode) or `event` (basket/partition mode). SINGLE-MARKET: pass a market slug/URL + side (buy_yes|sell_yes|buy_no|sell_no, defaul Inputs: market, event, side, size_usd |
polymarket_kalshi_spread | Cross-venue spread between Kalshi and Polymarket for the same resolving question. The two venues sometimes price the same outcome 2-25pp apart because their participant pools differ — when the bet shapes are equivalent that delta is a real Inputs: topic, kalshi_event_ticker, polymarket_event_slug |
recall | Retrieve a value previously saved via remember, or list all saved keys (omit the key argument). Use to look up context the agent stored earlier — the user's target ticker, an address, prior research notes — without re-deriving it from scrat Inputs: key |
recent_alerts | Pull fired events from your subscription feed. Returns the most recent alerts the evaluator has written to your persisted feed — each carries source, citation_uri (pipeworx:// when available), and the raw event payload. Filter by type (e.g. Inputs: type, since, limit, unread_only, mark_read |
recent_changes | "What's new with X" / "latest on Y" / "what happened to Z this week / month / quarter" / "updates on Acme" / "news on Tesla recently" / "what's happening with Apple" — change feed for a company in the last N days/weeks/months in ONE paralle Inputs: type, value, since |
remember | Save data the agent will need to reuse later — across this conversation or across sessions. Use when you discover something worth carrying forward (a resolved ticker, a target address, a user preference, a research subject) so you don't hav Inputs: key, value |
resolve_entity | "What's the ticker for…" / "find the CIK for…" / "what's the LEI for…" / "what's the RxCUI for…" / "look up the ID for…" / "what is X's official identifier" / "who owns X" / "is X a subsidiary of Y" — resolve a user-spoken NAME to the canon Inputs: type, value |
scan_competitor_ai_presence | Compare AI visibility across multiple entities side-by-side. Probes each entity (your brand + N competitors) with ai_visibility_check, ranks by score, surfaces which is most/least recognized. Useful for competitive AI-marketing audits: "doe Inputs: entities, context, models, _apiKey |
scan_dependency | Composite "should I add this npm package to my project" check in ONE call — fans out across deps.dev (license + advisories + version history) and bundlephobia (gzipped/minified bundle size, dependency count, ESM/tree-shake support). Use whe Inputs: package, version |
search_images | Search Docker Hub for container images by keyword. Returns repository name, description, pull count, star count, and official status. Use when finding images for deployment. Inputs: query, limit |
search_within | Semantic search INSIDE a fetched record. Pass the text you already pulled (e.g. a SEC 10-K body, an article, a long tool result) plus a natural-language query; get back the top-N passages with character offsets and similarity scores. Use wh Inputs: text, query, limit |
subscribe | Create a proactive monitoring subscription to a live-data event stream. Returns the new subscription id. Requires a Pipeworx OAuth account (anonymous + BYO cannot persist subscriptions). Supported types: "sec_8k" (8-K filings matching ticke Inputs: type, params, delivery |
suggest_questions | What can I ask Pipeworx? / what is Pipeworx good for? / what can you do? / give me ideas / show me examples / getting started / what data do you have? — the onboarding entry point for an agent that just connected and wants to know what is w Inputs: topic |
unsubscribe | Cancel a subscription by id. Ownership is enforced — you can only cancel your own subscriptions. The row is deactivated (not deleted) so its historical events stay available via recent_alerts. Inputs: id |
validate_claim | "Is it true that…" / "fact check" / "verify the claim that…" / "did X really…" / "was Y actually…" / "confirm or refute" / "true or false" — natural-language claim verification against authoritative sources. Use whenever the agent needs to Inputs: claim, tolerance_pct |
Every block below points at https://gateway.pipeworx.io/dockerhub/mcp. Pick your client and copy.
claude mcp add --transport http dockerhub https://gateway.pipeworx.io/dockerhub/mcp
{
"mcpServers": {
"dockerhub": {
"command": "npx",
"args": ["-y", "mcp-remote", "https://gateway.pipeworx.io/dockerhub/mcp"]
}
}
}{
"mcpServers": {
"dockerhub": {
"url": "https://gateway.pipeworx.io/dockerhub/mcp"
}
}
}{
"servers": {
"dockerhub": {
"type": "http",
"url": "https://gateway.pipeworx.io/dockerhub/mcp"
}
}
}{
"context_servers": {
"dockerhub": {
"url": "https://gateway.pipeworx.io/dockerhub/mcp"
}
}
}{
"mcpServers": {
"dockerhub": {
"serverUrl": "https://gateway.pipeworx.io/dockerhub/mcp"
}
}
}{
"mcpServers": {
"dockerhub": {
"url": "https://gateway.pipeworx.io/dockerhub/mcp"
}
}
}name: Dockerhub
version: 0.0.1
schema: v1
mcpServers:
- name: Dockerhub
type: streamable-http
url: https://gateway.pipeworx.io/dockerhub/mcp{
"mcpServers": {
"dockerhub": {
"httpUrl": "https://gateway.pipeworx.io/dockerhub/mcp"
}
}
}{
"mcpServers": {
"dockerhub": {
"type": "http",
"url": "https://gateway.pipeworx.io/dockerhub/mcp"
}
}
}{
"mcpServers": {
"dockerhub": {
"url": "https://gateway.pipeworx.io/dockerhub/mcp"
}
}
}goose://extension?url=https%3A%2F%2Fgateway.pipeworx.io%2Fdockerhub%2Fmcp&type=streamable_http&id=dockerhub&name=Dockerhub
It answered our last check on 18 October 2026 in 704 ms. Over 10 checks since 5 September 2026 it answered 10. Status here comes from Neuronto's own probes, not from the publisher.
35, as returned by the server's own tools/list on 31 August 2026: ai_visibility_check, ask_pipeworx, ask_pipeworx_beta, ask_pipeworx_grounded, bet_research, compare_entities, deep_research, discover_tools, and 27 more.
It answered our last check on 18 October 2026 in 704 ms. Over 10 checks since 5 September 2026 it answered 10.
Put the server under mcpServers in ~/.cursor/mcp.json with the URL https://gateway.pipeworx.io/dockerhub/mcp. The exact JSON is above, with the same setup for Claude Code, Claude Desktop, VS Code, Windsurf, Zed, Gemini CLI and the rest.
It listed its tools to an anonymous client, so reading the tool list needs no key. Individual tools can still ask for credentials in their own inputs.
Publisher: io.github.pipeworx-io. Endpoint host: gateway.pipeworx.io. ARD identifier: urn:air:io.github.pipeworx-io:mcp:dockerhub.
First indexed 31 August 2026. The tools are exactly what the server returned; nothing on this page
is inferred from its name. Ranking in Neuronto search is never for sale.