Replicate is an MCP server with 52 tools an agent can call, among them account, ai_visibility_check, ask_pipeworx. It answers at https://gateway.pipeworx.io/replicate/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 6 of 6 times since 12 September 2026; the last check, on 24 October 2026, succeeded.
Replicate MCP.
Description as the publisher wrote it.
| Tool | What it does |
|---|---|
account | Fetch your Replicate account details including username, name, GitHub URL, and account type. |
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 6,402 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 6,402 across 1674 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-kristi-noem-win-the-2028-republican-presidential-nomination"), a polymarket.com URL, or a question text. Prefer an UNDATED slug: a Inputs: market, depth, include_raw |
cancel_prediction | Cancel a prediction. Inputs: id |
collection | Fetch models belonging to a specific Replicate collection by slug (e.g. "text-to-image"); returns the collection description and a list of model objects. Inputs: slug |
collections | List all curated Replicate model collections (e.g. "text-to-image", "speech-to-text"); returns collection slug, name, and description. |
company_facts | TYPED, DETERMINISTIC financial facts for a US public company for an EXPLICITLY NAMED reporting period — "Apple revenue for fiscal 2023", "Walmart net income FY2026 Q3", "Microsoft cash at the end of fiscal 2024". PREFER OVER entity_profile Inputs: company, attribute, period, freshness, max_age, as_of |
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 |
create_deployment_prediction | Run via a deployment. Inputs: owner, name, input, webhook, webhook_events_filter, stream |
create_prediction | Start a Replicate model run by submitting a version id and input object; returns a prediction id and status that can be polled with the prediction tool until output is ready. Inputs: version, input, webhook, webhook_events_filter, stream |
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 16 Inputs: question, depth |
deployment | Deployment detail. Inputs: owner, name |
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 |
hardware | List available Replicate hardware types (CPU, GPU SKUs) with their names and SKU identifiers; use to select hardware when creating a deployment. |
kalshi_weather_edge | Prices Kalshi daily high-temperature markets against the NWS forecast for the market's OWN settlement station, and measures whether that forecast actually beats the market. Two modes. LIVE (default): returns the full strike ladder for one c Inputs: city, series_ticker, date, market_type, backtest_days |
list_deployments | List your Replicate model deployments (dedicated, auto-scaled endpoints), paginated via cursor; returns owner, name, current model version, and scaling config. Inputs: cursor |
list_models | List all public models available on Replicate, paginated via cursor; returns owner, name, description, run count, and latest version id for each model. Inputs: cursor |
list_predictions | List your recent Replicate predictions in reverse chronological order, paginated via cursor; returns prediction id, model version, status, and creation timestamp. Inputs: cursor |
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 |
model | Fetch metadata for a specific Replicate model by owner and name, including description, visibility, run count, latest version, and GitHub URL. Inputs: owner, name |
model_version | Fetch full metadata for a specific Replicate model version by owner, name, and version_id, including the complete input/output OpenAPI schema and Cog version. Inputs: owner, name, version_id |
model_versions | List all published versions of a Replicate model by owner and name; returns version ids, creation timestamps, and input/output schema for each version. Inputs: owner, name |
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 |
prediction | Poll the status and retrieve output for a Replicate prediction by id; returns status (starting/processing/succeeded/failed/canceled), output URLs, and logs. Inputs: id |
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 |
release_calendar_markets | JOIN of the official release calendar (econ data, the FOMC, FDA decisions, SEC rules) against LIVE Polymarket/Kalshi markets — which scheduled releases land in the next N hours, and which live markets resolve on them. This is a POSITIONING Inputs: hours, categories |
remember, resolution_audit, resolution_diff, resolve_entity, scan_competitor_ai_presence, scan_dependency, search_models, search_within, subscribe, suggest_questions, unsubscribe, validate_claim
Every block below points at https://gateway.pipeworx.io/replicate/mcp. Pick your client and copy.
claude mcp add --transport http replicate https://gateway.pipeworx.io/replicate/mcp
{
"mcpServers": {
"replicate": {
"command": "npx",
"args": ["-y", "mcp-remote", "https://gateway.pipeworx.io/replicate/mcp"]
}
}
}{
"mcpServers": {
"replicate": {
"url": "https://gateway.pipeworx.io/replicate/mcp"
}
}
}{
"servers": {
"replicate": {
"type": "http",
"url": "https://gateway.pipeworx.io/replicate/mcp"
}
}
}{
"context_servers": {
"replicate": {
"url": "https://gateway.pipeworx.io/replicate/mcp"
}
}
}{
"mcpServers": {
"replicate": {
"serverUrl": "https://gateway.pipeworx.io/replicate/mcp"
}
}
}{
"mcpServers": {
"replicate": {
"url": "https://gateway.pipeworx.io/replicate/mcp"
}
}
}name: Replicate
version: 0.0.1
schema: v1
mcpServers:
- name: Replicate
type: streamable-http
url: https://gateway.pipeworx.io/replicate/mcp{
"mcpServers": {
"replicate": {
"httpUrl": "https://gateway.pipeworx.io/replicate/mcp"
}
}
}{
"mcpServers": {
"replicate": {
"type": "http",
"url": "https://gateway.pipeworx.io/replicate/mcp"
}
}
}{
"mcpServers": {
"replicate": {
"url": "https://gateway.pipeworx.io/replicate/mcp"
}
}
}goose://extension?url=https%3A%2F%2Fgateway.pipeworx.io%2Freplicate%2Fmcp&type=streamable_http&id=replicate&name=Replicate
It answered our last check on 24 October 2026 in 65 ms. Over 6 checks since 12 September 2026 it answered 6. Status here comes from Neuronto's own probes, not from the publisher.
52, as returned by the server's own tools/list on 23 September 2026: account, ai_visibility_check, ask_pipeworx, ask_pipeworx_beta, ask_pipeworx_grounded, bet_research, cancel_prediction, collection, and 44 more.
It answered our last check on 24 October 2026 in 65 ms. Over 6 checks since 12 September 2026 it answered 6.
Put the server under mcpServers in ~/.cursor/mcp.json with the URL https://gateway.pipeworx.io/replicate/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:replicate.
First indexed 12 September 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.