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- Analyzes one job found outside FoundRole using the authenticated user's FoundRole profile and the same signals used for FoundRole jobs: resume match, missing skills, H-1B sponsorship history, E-Verify, ghost-job risk, posted compensation, and market salary estimates. Use tracker_add_external only when the user asks to save without analysis. The input represents the direct posting URL and all job content already available in the conversation. The five text identity fields are required; every structured fact field is optional, with a fact the source does not state simply omitted (or null). The optional `client_extraction` object carries evidence-backed skills, technology, benefits, bonuses, seniority, industry, management, clearance, visa, and remote-scope labels when source excerpts for them exist. FoundRole validates the evidence, stores the client extraction separately, derives missing deterministic facts, and reports which values were provided, derived, accepted, rejected, or remain unknown. The output includes `comparisonRef`; retain it exactly for a later jobs_compare call. The analysis is a decision aid, not a guarantee about sponsorship, legitimacy, compensation, or hiring outcome.Connector
- Saves a job posting found anywhere on the open web into the user's tracker. For jobs that came from jobs_search results, tracker_add (which takes a job_id) is the right tool instead. A job seen elsewhere in the conversation needs no prior jobs_search call — its URL and details from the conversation are sufficient input. `url`, `company_name`, `title_name`, `location_name`, and `description` identify the posting and are the only required fields. Every structured fact field (salary, dates, employment type, education, experience) is optional: a fact the source does not state is simply omitted (or null), and FoundRole's own extractors derive missing salary, employment, work-arrangement, education, experience, skills, benefits, and bonuses from the description. A save never waits on facts the source did not provide. The optional `client_extraction` object carries evidence-backed skills, technology, benefits, bonuses, seniority, industry, management, clearance, visa, and remote-scope labels when source excerpts for them exist; FoundRole validates and stores those labels separately. Fields: - `url`: the job posting's direct URL (required; not a company homepage) - `company_name`: company name (required) - `title_name`: job title (required) - `location_name`: location, e.g. "New York, NY" (required) - `description`: the posting's description from the source result; a short summary is acceptable (required) - `salary_min_value` / `salary_max_value`: salary range bounds (numbers) - `salary_value`: a single salary figure when there is no range (number) - `posted_at`: ISO 8601 posting date - `salary_currency`: ISO 4217 currency code - `salary_type`: one of year, month, week, day, hour - `employment_type`: array of full_time, part_time, contractor, temporary, intern, volunteer, per_diem, other - `work_location_type`: one of on_site, remote, hybrid - `education_requirements`: array of no_requirements, high_school, associate_degree, bachelor_degree, professional_certificate, postgraduate_degree - `experience_months`: minimum required experience in months (number) - `client_extraction`: evidence-backed extraction object; fields without source evidence are omitted - `status`: initial tracking status (saved, applied, interviewing, offered, archived); defaults to "saved" - `sub_status`: sub-status within the main status: saved: interested, researching_company, preparing_application, ready_to_apply; applied: application_submitted, followed_up; interviewing: interview_scheduled, phone_screen, technical, onsite, final_round, pending_feedback; offered: negotiating, considering, offer_received, accepted; archived: ghosted, rejected_by_company, withdrawn_by_candidate, not_interested, employed_by_this_company, employed_by_another_company - `notes`: notes about the job Returns the tracked job. Repeated saves return the existing tracked job.Connector
- "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 sequential single-pack lookups when comparing entities. type="company" pulls LATEST 10-K revenue + net income + cash + long-term debt from SEC EDGAR/XBRL (off-calendar fiscal years handled correctly — AAPL Sep, NVDA Jan, etc.). type="drug" pulls FAERS adverse-event counts, FDA approval counts, active trial counts. Results sorted by primary metric so "largest" / "most" / "biggest" reads off the top of the response. Returns paired data + pipeworx:// citation URIs per entity. Replaces 8–15 sequential lookups.Connector
- 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. "sec_8k") and/or since (ISO timestamp). Set mark_read:true to flag returned events read so the next call only shows newer ones. Polls work fine; the same feed is also at GET registry.pipeworx.io/alerts.json for scripts and dashboards.Connector
- 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 `topic` for a themed cross-event scan. `event` (recommended for a specific market): pass a Polymarket event slug like "fed-decision-may-2026" or "when-will-bitcoin-hit-150k"; walks child markets, checks date-axis / threshold-axis ordering AND computes the partition_check (sum of YES prices across mutually-exclusive legs — should ≈1; deviations >3pp emit a BUY/SELL EVERY LEG signal). `topic` (for cross-event scanning): pass a seed question like "Strait of Hormuz traffic returns to normal" or "Fed rate decision"; searches related events across the platform, flattens markets, runs the comparator on the union. Cross-event mode catches "...by May 31" vs "...by Jun 30" patterns that single-event misses. SEMANTIC ANCHOR: cross-event pairs require ≥0.30 Jaccard similarity on question tokens (prevents Powell-Fed-Pause being paired with Powell-DOJ-probe); skipped_low_similarity surfaces the rejected pair count. PARTITION FILTER: drops will-person-X / will-manager-Y / will-someone-else- placeholder slugs; partitions with >20% placeholder fraction return null arb signal. Response: opportunities[] (gap_pp, suggested_trade, reasoning, monotonicity violation context), and in event mode partition_check{sum_yes_prices, gap_from_1, placeholders_filtered, suggested_trade}. FILL CHECK: when the partition signal fires, arbitrage.fill_check prices it against live CLOB depth (theoretical_edge_pp_at_book vs realizable_edge_pp at 1000 shares/leg, thin_legs[]) — realizable_edge_pp ≤ 0 means the overround exists only at last-trade, not in the book; do not trade it. For custom sizing use polymarket_fill_risk.Connector
- Return the safely validated redirect chain. Use only for public HTTP(S) resources; it does not execute JavaScript or bypass access controls. Pass url as an absolute public HTTP(S) URL. Keep fresh=false to allow cache reuse; set fresh=true only when a new upstream fetch is required.Connector
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- AlicenseAqualityCmaintenanceEnables Large Language Models to access and manipulate Autodesk Revit models through a pyRevit-based bridge and the Model Context Protocol.20161MIT
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- Classify MIME type, charset and bounded content length. Use only for public HTTP(S) resources; it does not execute JavaScript or bypass access controls. Pass url as an absolute public HTTP(S) URL. Keep fresh=false to allow cache reuse; set fresh=true only when a new upstream fetch is required.Connector
- List up to 100 image references without downloading images. Use only for public HTTP(S) resources; it does not execute JavaScript or bypass access controls. Pass url as an absolute public HTTP(S) URL. Keep fresh=false to allow cache reuse; set fresh=true only when a new upstream fetch is required.Connector
- Use to convert between fiscal year/quarter and calendar months for a ticker before filtering period_end columns. Coverage warning: fiscal-year configuration is primarily US, with sparse JP/HK entries and no China A-share coverage in the verified dataset. Do not assume this tool supports a ticker merely because the core equity tables do. Forward: ticker + fiscal_year + fiscal_quarter → period_start/period_end. Reverse: ticker + yyyy_mm → fiscal_year/fiscal_quarter.Connector
- List alternative-data tables under the given categories. Returns each table's name, one-line purpose, and column names (call get_table_schema if you need column types/comments). Batch up to 5 categories in one call; omit categories, or pass ["all"], to get the category index instead. Use this BEFORE run_sql when you want to explore alt-data — run_sql alone won't tell you which tables exist. Available categories: - Energy & Power — US power plants, electricity prices, regional hourly generation/demand - Data Centers — facilities, GPU clusters, cooling - Semiconductors — AI chip specs, sales, ownership, foundry revenue, customs trade - Compute Pricing — GPU rental, cloud VM spot/on-demand, instance specs - Model Development — model specs, benchmarks, AI companies, AI polling, LLM arena - Inference Economics — LLM API pricing across providers - Macro & Trade — UN Comtrade, US Census trade flows, FRED macro series - Prediction Markets — Polymarket and Kalshi events, markets, trades, daily aggregates - Critical Minerals — USGS mineral deposits, country supply, critical materialsConnector
- 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 when the record is too big to cram into the prompt — search_within saves context, returns only the passages that matter, and every passage carries an offset so the agent can verify a verbatim quote. Pairs with ask_pipeworx_grounded: fetch with the gateway, ground over the relevant passages instead of the whole document. BGE-base-en embeddings + cosine over 500-char overlapping windows; cap is 200K chars (longer inputs are truncated and flagged).Connector
- "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 ONE parallel call. ALWAYS PREFER over chaining single-pack SEC/XBRL/news lookups when the user asks for a holistic view. Fans out across SEC EDGAR, XBRL, USPTO, news, GLEIF and returns: cik + company_name; recent_filings (up to 5 with pipeworx://edgar/company/{cik}/filings/{accession} URIs); fundamentals (LATEST 10-K Revenues + NetIncomeLoss + Cash, sorted period_end DESC); patents (USPTO PatentsView API sunset May 2025 — soft-fails until reactivated); recent news mentions via GDELT→GNews fallback; LEI via GLEIF. Pass ticker "AAPL" or zero-padded CIK "0000320193" — names not supported (use resolve_entity first if you only have a name).Connector
- "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 parallel call. Fans out to SEC EDGAR (filings since `since`), GDELT→GNews fallback (news mentions in window — GDELT preferred, GNews when rate-limited or 5xx), USPTO (patents granted; PatentsView API sunset May 2025 so this soft-fails until reactivated). `since` accepts ISO date ("2026-04-01") or relative shorthand ("7d", "30d", "3m", "1y"). Returns structured changes[] grouped by source + total_changes count + pipeworx:// citation URIs. Use entity_profile instead when you want the static profile (filings + fundamentals + LEI + patents) regardless of window.Connector
- Unsubscribes the authenticated user from ALL of their job alerts at once, across every subscription source (regular, company page, MCP). **Input:** - `confirm`: Must be `true` to execute. The call is rejected when omitted or not true — this guards against an unintended bulk unsubscribe. **Output:** Confirms how many alerts were unsubscribed. Idempotent: returns success even when the user has no active alerts.Connector
- Searches FoundRole's published content by semantic similarity and returns the most relevant sources for a job-search question: career-guidance blog articles plus FoundRole site pages that describe the product's features (job tracker, Pro plan and pricing, H1B salary data, AI job search) and industry/sector career landings. Each article carries a title, url, summary, a content excerpt, publication date, and tags; each page carries a title, url, description, and its FAQ entries — enough material to answer the question and link the source. Three optional facets add further result groups: company returns FoundRole's employer profile pages matching that company name; job_title and location return the live job-listing landing pages for that role and place, with open-job counts. The facets describe what the user is asking about — a company mentioned only in passing does not need the company facet. Returns empty groups when nothing is relevant rather than padding with off-topic content. Results are the closest matches to the given question, not an index of the site's full coverage; questions about overall topic coverage are answered by knowledge_topics, which lists the blog's categories and tags with article counts. It does not search job listings; jobs_search covers live roles. Each response includes a system_instruction describing how to present the sources.Connector
- Lists what FoundRole's published career-guidance blog covers: every category and the most-used tags, each with its published-article count and url, plus the total number of published articles. This is the factual source for questions about the blog's topics or overall coverage. It takes no parameters and reflects the live published corpus. It does not retrieve articles for a specific question; knowledge_search does that.Connector
- Sets a reminder for a tracked job. Sends a confirmation email with .ics calendar attachment. **Input:** - `tracked_job_id`: The tracked job ID — `trackedJobs[].id` from tracker_list output, distinct from `trackable.id` and `job.id` (required) - `remind_at`: Reminder date/time in ISO 8601 format, e.g. "2025-03-15T10:00:00Z" (required, must be in the future) **Output:** Returns the updated tracked job with reminderAt field.Connector
- Return ready-to-paste configuration snippets for installing this MCP server in Claude Code, Cursor, Cline, Continue.dev, Windsurf, and Zed. Free.Connector
- Create a seekrit workspace and your own machine credential — one call, no human, no browser. Binds the credential to this session, so every other tool works on your next call with no config change and no reconnect. Save the returned clientId + clientSecret: the secret is shown once and is how you reconnect later. Call this if a tool says you have no credential.Connector
- Return a precomputed example of 1cent URL Pulse output without payment, database access or any network request. This fixed demonstration never accepts a URL and never fetches an external resource.Connector