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510,248 tools. Updated 2026-09-03 22:52

"Accessing a browser programmatically to capture snapshots and logs" matching MCP tools:

  • Hedge-fund share-count history for a ticker. Returns the most recent `limit` snapshots (max 60) plus a summary block (snapshot_count, first/last date and shares). Each row: {date, shares}. Sourced from quarterly 13F filings; lags by up to 45 days. For a snapshot of current sentiment without the timeseries, use get_assets_data and read hedgeFundSentimentData. Args: ticker: Stock ticker (e.g. 'AAPL'). limit: Max snapshots to return (default 60, max 60).
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  • Convert HTML or Markdown to a pixel-perfect PDF. Returns JSON: { url } — a temporary download URL (valid ~1 hour). Great for generating invoices, reports, receipts, or formatted documents programmatically. Supports full HTML/CSS including tables, images (base64 or URL), and inline styles. For Markdown input, set format='markdown'. 50 sats per conversion. Use convert_file instead for converting existing files between formats (e.g., DOCX→PDF). Pay per request with Bitcoin Lightning — no API key or signup needed. Requires create_payment with toolName='convert_html_to_pdf'.
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  • Collect console logs, exceptions, and log entries from a Safari page on an iOS device over a time window. Enables the Runtime and Log domains, then listens for Runtime.consoleAPICalled, Runtime.exceptionThrown, and Log.entryAdded events, and returns an array of { level, text, url?, line?, source? }. This is a LIVE-WINDOW collector: it only captures events fired AFTER it attaches (plus the buffered history WebKit replays on enable), so triggering the logging from a SEPARATE tool call races the attach and is missed. To capture logs from an action, pass triggerJs (run inside the window). Default window: 5 000 ms. Maximum: 15 000 ms. Omit pageId to auto-pick the active page.
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  • Find logs matching filter criteria within a time range. Use this as your default starting point for log queries. Returns logs sorted by (timestamp, logId) descending (newest first). Returns the log's main fields by default; pass verbose=true to include its attributes (http/url/… flattened in, plus a `resource` object). Long string values are capped (maxStringChars). For raw columns or custom selection use run_sql. For the full untruncated body of one row, use get_log. Defaults: from/to: open window if omitted — beware of unbounded scans limit: 100 (max 1000) service/level: any Common patterns: - Errors in the last hour: level="ERROR", from=<1h ago> - Logs for a trace: traceId="abc123..." - Whole-token search (case-insensitive): messageContains="timeout" - Substring or regex search: not supported here; use run_sql Returns: logs: array of log objects (lean unless verbose=true) nextCursor: opaque token (null on the last page); pass back as cursor to fetch the next page explorerUrl: shareable Fixter UI link opening this query in the log explorer — attach it when citing these logs as evidence to the user (covers the service/level/traceId filters and the window; timestamps display in the viewer's browser timezone) queryStats: rowsReturned, elapsedMs
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  • BUY the full dossier for one entity programmatically — no browser, no Stripe Checkout. Debits your prepaid wallet €2 and returns the complete premium dossier (full UBO chain, filed financials, itemised assets, provenance) in the SAME response. Requires a funded API key (Authorization: Bearer wi_…). Idempotent per (buyer, entity): buying the same entity again returns it with NO second charge, so a retry is safe. If the wallet balance is too low the call returns HTTP 402 with a machine-readable payment requirement + a top-up URL — hand the top-up to a human once, then retry; the agent spends from the balance thereafter with no browser in the loop. Get the id from search_entities / resolve. This is the AGENT-NATIVE purchase path; buy_dossier is the human/browser (Stripe Checkout) path.
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  • MONITORING: Fetch Terraform deployment logs with pagination Fetches logs from a running or completed Terraform deployment job. For **completed jobs**: uses REST endpoint for instant retrieval (supports `tail` for server-side filtering). For **running jobs**: streams via SSE with timeout-based pagination. **PAGINATION** (running jobs only): Use `last_event_id` from the response to fetch more: 1. First call: `tflogs(session_id='...')` → get logs + `last_event_id` 2. Next call: `tflogs(session_id='...', last_event_id='...')` → get NEW logs only 3. Repeat until `complete: true` in response **RESPONSE FIELDS**: - `logs`: Array of log messages collected - `last_event_id`: Pass this back to get more logs (pagination cursor, SSE only) - `complete`: true if job finished, false if more logs may be available - `total_logs`: total log entries before tail truncation REQUIRES: session_id from convoopen response (format: sess_v2_...). OPTIONAL: job_id to target a specific deployment (use tfruns to discover IDs), timeout (default 50s, max 55s), last_event_id (for pagination), tail (return only last N entries) ⚠️ CONTEXT WARNING: Deploy logs can be hundreds of lines. Use tail: 50 for completed jobs to avoid blowing up the context window.
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  • Hosted real Google Chrome MCP with per-user persistent state. Navigate, click, type, screenshot.

  • Stealth web browser for agents: search, fetch, click, download and type in persistent MCP sessions.

  • Remove a wallet from the watchlist. By default keeps historical snapshots and alerts (for audit trail). Set keep_history=false to purge everything for this address.
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  • MONITORING: Fetch Terraform deployment logs with pagination Fetches logs from a running or completed Terraform deployment job. For **completed jobs**: uses REST endpoint for instant retrieval (supports `tail` for server-side filtering). For **running jobs**: streams via SSE with timeout-based pagination. **PAGINATION** (running jobs only): Use `last_event_id` from the response to fetch more: 1. First call: `tflogs(session_id='...')` → get logs + `last_event_id` 2. Next call: `tflogs(session_id='...', last_event_id='...')` → get NEW logs only 3. Repeat until `complete: true` in response **RESPONSE FIELDS**: - `logs`: Array of log messages collected - `last_event_id`: Pass this back to get more logs (pagination cursor, SSE only) - `complete`: true if job finished, false if more logs may be available - `total_logs`: total log entries before tail truncation REQUIRES: session_id from convoopen response (format: sess_v2_...). OPTIONAL: job_id to target a specific deployment (use tfruns to discover IDs), timeout (default 50s, max 55s), last_event_id (for pagination), tail (return only last N entries) ⚠️ CONTEXT WARNING: Deploy logs can be hundreds of lines. Use tail: 50 for completed jobs to avoid blowing up the context window.
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  • Discover the queryable fields, functions, and measures for a data source. Use this before run_sql to learn what's available. Sources: logs, spans, metrics. Default: logs. Call with NO arguments to start — you get the list of services (with volumes) plus the field profile for logs. Then optionally pass service=<name> to drill into one service's fields (different services emit different dynamic attributes). Per field: type, coverage, distinct-value estimate, top values (low-cardinality), and a GROUP BY verdict (safe / with care / filter only). Dynamic attributes are the ACTUAL keys in your data — use them directly in QuerySQL (e.g. SELECT http_method FROM logs). Resource-level attributes (logs and spans only) use a resource. prefix, e.g. resource.service.name. Always returns the source's measures (fn, label, unit, defaultMode — the mode a new alert rule on this measure should default to) and the available QuerySQL functions with their argument counts. For source=metrics, the metric list is volume-ranked and bounded to a default page; metricsMatched reports the true total independent of what was returned. Pass prefix=<text> to reach past that default page into the tail, e.g. prefix="http." for HTTP metrics. Optional filter=<predicate> restricts discovery to matching rows. The predicate is QuerySQL and uses the same field names as run_sql (e.g. level = 'ERROR', http_method = 'GET'); subqueries are not allowed.
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  • One-shot cross-signal pivot for a trace id. Given a trace id, returns (all fields top-level, no nested summary object): rootOperation, spanCount, errorCount, totalDurationNanos, startTime — trace summary spans — every span in the trace (up to 1000) logs — logs tagged with that traceId (no window limit, up to 1000) exemplars — metric exemplars whose traceId matches, within the span window (up to 1000) windowFrom / windowTo — the derived scan window (earliest span - 5s / latest span end + 5s) The window is derived from the trace's spans. If the trace is unknown, spans and exemplars are empty but logs are still returned if they carry the traceId. Exemplar filtering is window-bounded; log filtering is not. Use this as the primary entry point when you have a trace id and want to see all correlated signals at once. Returns core fields by default; verbose=true flattens attributes in for both spans and logs (plus a `resource` object) and long string values are capped. Use run_sql for raw columns or custom selection. After reviewing the result, drill into individual signals with logs, spans, or metrics as needed. Long-lived traces (scheduler ticks, batch jobs) can produce very large verbose responses even with the caps. Prefer verbose=false first; for error triage, the logs tool with traceId + level is a cheaper, targeted alternative. Pass maxStringChars to tighten string truncation per call. Returns: traceId, traceUrl, rootOperation, spanCount, errorCount, totalDurationNanos, startTime, windowFrom, windowTo, spans[], logs[], exemplars[], queryStats. traceUrl is a shareable Fixter UI link for this trace — attach it when citing the trace as evidence to the user.
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  • Return the logs chronologically around a given logId. Designed for the "what happened right before/after this alert?" question. Returns the anchor log plus N logs strictly older and N logs strictly newer, all scoped (by default) to the same sourceInstanceId — the same pod or process — so you don't see interleaved replicas. Defaults: before: 3 after: 3 sameSource: true Set sameSource=false for cross-pod neighbour queries (e.g. "what else was the cluster doing at this moment?"). Returns: anchor: the log identified by logId before: logs older than anchor, sorted oldest-first (chronological) after: logs newer than anchor, sorted oldest-first (chronological) queryStats: rowsReturned, elapsedMs
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  • Share text, markdown, code, or HTML as an auto-expiring ctxt.io link. For visual output (styled reports, tables, charts, diagrams) prefer format=html with self-contained HTML: inline CSS and inline SVG render fully; <script> is stripped server-side and JavaScript never runs, so keep it static. Free expiries: 5m, 30m, 1h (default), 8h, 1d — these return the share URL immediately. ttl=30d and the Pro options (name, password) cost $1 one-time: the link is created in a pending state and the result includes a payment_url a human can open in a browser to complete checkout (platforms enrolled for agentic payments receive an acp block instead and can pay programmatically); until payment the link lives 1 day without Pro features. Anyone with the link can read it. The returned delete_token authorizes deletion via delete_context — keep it private.
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  • Attach one of YOUR OWN Google accounts to the pool using an oauth_token captured on the USER'S OWN machine (password/2FA never leave it). This is the self-serve onboarding path — no server-side browser, no SSH. HOW TO GET oauth_token: the agent must first run the local grabber on the user's machine (it opens a native Chrome at accounts.google.com/EmbeddedSetup; the user logs in and clicks "Принимаю"/Accept): npx --yes github:... local_grab (or: node browser-tools/local_grab.js 9222) It prints {"email", "oauth_token"}. Pass those here. The oauth_token is SINGLE-USE: if this call fails, the user must re-login and grab a FRESH token — never retry the same one. On success the account is bound to YOUR key's owner group and the worker picks it up within ~30s (no restart). Adding an account is always allowed — even for a key that has already spent its free quota, since that is a prerequisite, not a reward. Only onboard accounts YOU control — a master token grants full account access.
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  • Write a piece of customer feedback to the spine (the agent's own hand, not just reading) and return the created insight. Fires the same insight.created webhook a manual capture does — a real side-effect, so only capture genuine signal. Resolve account_id via get_customer_360 and feature_id via list_features and tie them when known; kind='opportunity' marks a prioritisable ask. Only body is required.
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  • Diff a baseline page mapping against a current one and return a CI-style verdict: PASS / FIX / BLOCK, plus per-element drift (ok, renamed, healable, ambiguous, lost, added, rebound). Pure and deterministic — provide two mappings as JSON with "elements" arrays of {role, name, selector, context?}. Use the companion @ia-qa/self-healing package (npm install -g @ia-qa/self-healing) to capture mappings from your app via its local MCP server ia-qa-heal-mcp, or paste the snippet from ia-qa.com/devtools/selector-drift into your browser console.
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  • Use this when you need to render a script's animation timeline to a video. Capture a kernelCAD script's animationView({...}) timeline to an MP4 (ffmpeg) or a PNG frame sequence, verifying the sampled poses for part interference. FILE ONLY: pass { file } (a .kcad.ts path) — there is no { code } mode, because the capture engine renders from a file on disk (its relative lib.fromSTEP imports resolve against the script directory). MP4 by default; pass { frames_dir } to write frame-0000.png... and skip ffmpeg entirely (mutually exclusive with output_path). Animation-pose interference verification runs by default (keyframe times + segment midpoints) BEFORE any browser/ffmpeg cost; { no_verify: true } skips it and { verify_every: n } additionally samples every n-th frame time. Pass { focus } or { hide } (arrays of feature ids or assembly part names, mutually exclusive) to isolate parts in the rendered frames — same semantics as `kernelcad render --focus/--hide`; visibility is render-only and does NOT affect the pose verification. Collisions DO NOT fail the call — the artifact is still written as evidence with ok: true; read verified: false + the collisions[] array. ENVIRONMENT REQUIREMENT (identical to `kernelcad render`): capture drives a headless browser against a running studio dev server reachable at http://localhost:5173 (or the VITE_PORT override); there is no bundled-static serving mode yet, so the same dev-server precondition applies in a production MCP install. Returns { ok, output_path, frame_count, duration_ms, fps, verified, verify_skipped?, collisions: [{ t_ms, a, b, volume_mm3 }], diagnostics }.
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  • Give it a public URL and get the content back. This is the default when you don't want to choose between HTTP, proxy rotation, and a full browser. On protected targets, or whenever HTTP 200 may still be a challenge or incomplete page, pass validate.data.accept with text unique to the real content. Auto makes bounded attempts and returns either validated content or a failure; it cannot guarantee a match. The response includes completion details and, by default, reusable session values for follow-up calls. Use a lower-level tool when you need direct control over HTTP, proxy selection, or browser navigation, or to choose which browser is presented to the target: that lives on foura_single and foura_proxy.
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  • Fetch the fully rendered HTML of any web page through the ScrapeUnblocker API (https://developers.scrapeunblocker.com), bypassing anti-bot protection (Cloudflare, DataDome, PerimeterX, Akamai, Shape). Use when a normal fetch is blocked (403/429, captcha) or the page needs a real browser. Returns raw HTML. Pass `steps` to interact with the page (search, click, paginate) before capture - use the list_elements tool first to discover selectors.
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  • Context lookup: Parse a User-Agent header string into structured browser, OS, device type, and rendering-engine components. Use to identify client capabilities from a raw UA string, e.g. when analysing server logs or request headers; does not perform any network lookups — entirely local parsing. Runs synchronously using the ua-parser-js library with no external calls. Returns a JSON object with browser.name, browser.version, os.name, os.version, device.type, device.vendor, and engine.name fields; unknown fields are empty strings.
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  • Capture a screenshot of a rendered web page via Crawlbase (headless browser + rotating proxies, anti-bot bypass). Returns a stored screenshot_url (JPEG, link expires after about one hour) plus crawl metadata. Requires your Crawlbase JavaScript token as _apiKey — screenshots always render in a real browser. Captures the full page by default; pass mode:"viewport" with width/height to constrain. Example: crawlbase_screenshot({ url: "https://example.com", _apiKey: "your-js-token" })
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