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510,032 tools. Updated 2026-09-03 17:32

"Search for logs or logging information" matching MCP tools:

  • Search for datasets across all Socrata-powered government open-data portals, or scope to one portal with the domain parameter. Returns dataset IDs, names, abbreviated column lists, domains, and update timestamps. Use socrata_get_dataset to fetch the full typed column schema before writing queries — columnNames here are preview-only and lack type information.
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  • Returns instructions for migrating from an existing auth provider to PropelAuth in a fullstack Nextjs App Router or Nextjs Pages Router application. If the user is using Next.js as just a frontend (e.g. client-side rendered with or without server routes), use the migrate_to_propelauth_frontend tool. Guidance includes installation and configuration, retrieving user or org information, logging users out, redirecting users to login, and more. Make sure to use the 'Installation' guidance first. It is important to call every guidance to ensure a successful integration. Do not update a component/hook/etc from the auth provider until you receive guidance about that component/hook/etc
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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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  • THE APPLICATION'S OWN LOGS - what `docker logs`/`podman logs` would show for each container in a deployment. This is the tool for 'it deployed fine but it does not work': a 500, a crash loop, a failed DB connection, a missing env var all announce themselves here and NOWHERE else. ⛔ DO NOT use get_instance_logs for this. That returns the VM's SERIAL CONSOLE (kernel messages and cloud-init), which answers a question nobody debugging an app has - and on this platform it goes permanently silent once the machine finishes booting. build_log does not contain runtime output either; it stops when the build does. Default depth answers instantly from the VM's last report; a bigger `tail` or any `since` asks the VM for a fresh pull and takes up to ~15s. Secret-shaped values (PASSWORD=, TOKEN=, API_KEY=) are redacted in transit.
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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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    Enables AI agents to query OpenRouter model information including prices, ELO rankings, context, and perform comparisons.
    33
    1
    MIT

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  • Web search for AI agents. Ranked results with page passages already extracted, plus URL to markdown.

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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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  • IMPORTANT: Do NOT fetch all guidances at once. Fetch the 'Backend Installation' guidance first, apply the necessary setup changes, and then fetch subsequent guidances (e.g., 'Redirect users after login', 'Backend Auth Middleware') sequentially as you implement each specific feature. Returns instructions for integrating PropelAuth via OAuth. Only use this tool when specifically instructed to by another tool or the user or if a PropelAuth SDK does not exist for the project's framework. Guidance includes instructions for the backend and frontend, including installation and configuration, creating access tokens, retrieving user or org information, logging users out, redirecting users to login, and more. It is important to follow the instructions carefully to ensure a successful integration.
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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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  • Query raw EVM logs with address/topic filters, common event aliases, earliest/latest scanning, and optional inline decoding. COMMON USER ASKS: - Recent USDC Transfer logs - First recent USDC Transfer log - Latest ERC721/pass mint ID and tx hash FIRST CHOICE FOR: - NFT or ERC721 mint lookups such as latest pass minted, token ID, and mint transaction hash - contract event questions where the user needs exact event evidence rather than wallet or transaction summaries WHEN TO USE: - You need event logs filtered by contract or topic signature. - You want decoded log hints while still keeping the raw log shape available. - You want the first or last matching event in a bounded block/time window. - You want common event names such as transfer, approval, swap, mint, or burn instead of remembering topic0 hashes. - You need the latest ERC721/pass mint in a bounded deployment/recent window: filter Transfer events with topic1 as the zero address, use scan_order=latest, limit=1, and decode=true to expose decoded_log.decoded.token_id plus transaction_hash. DON'T USE: - You only want token transfers, which are easier with the token-transfer tool. EXAMPLES: - Recent USDC Transfer logs: {"network":"base-mainnet","timeframe":"1h","token_symbols":["USDC"],"event":"transfer","limit":20} - First recent USDC Transfer log: {"network":"base-mainnet","timeframe":"1h","token_symbols":["USDC"],"event":"transfer","scan_order":"earliest","limit":1} - Latest ERC721/pass mint ID and tx hash: {"network":"base-mainnet","from_block":46020000,"to_block":46100000,"addresses":["0xE4E70FdF2Fc1147a7f35c4c5de88E6BeA63eeAfA"],"event":"transfer","topic1":["0x0000000000000000000000000000000000000000000000000000000000000000"],"scan_order":"latest","decode":true,"include_transaction":true,"limit":1} - Decode logs inline: {"network":"ethereum-mainnet","timeframe":"1h","topic0":["0xddf252ad1be2c89b69c2b068fc378daa952ba7f163c4a11628f55a4df523b3ef"],"decode":true,"limit":10}
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  • Search the web for any topic and get clean, ready-to-use content. Best for: Finding current information, news, facts, people, companies, or answering questions about any topic. Returns: Clean text content from top search results. Query tips: describe the ideal page, not keywords. "blog post comparing React and Vue performance" not "React vs Vue". Use category:people / category:company to search through Linkedin profiles / companies respectively. If highlights are insufficient, follow up with web_fetch_exa on the best URLs.
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  • Simulate a call and return success, gas, decoded return, and best-effort state diff / asset changes / logs. Provide a high-level call (address + function + args) or raw (to + data), never both.
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  • Get comprehensive information about a specific dealership. Returns Google-enriched dealer knowledge optimized for assistants: • Name, address, phone, website • Google rating, review count, hours, business status • Inventory count and OpenDealer profile links • Contact points for sales / customer service Use this when a shopper asks "tell me about X dealership" or needs hours/ratings for a known dealer. Prefer a slug from dealers_near or search results. CRITICAL: Only use URL fields from the response (website, urls.*). NEVER invent or construct URLs.
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  • Collect console logs, exceptions, and log entries from a page running on the device for a time window. Enables Runtime and Log domains, then listens for Runtime.consoleAPICalled, Runtime.exceptionThrown, and Log.entryAdded events. Returns a normalized array of { level, text, url?, lineNumber? } entries. This is a LIVE-WINDOW collector: it only captures events fired AFTER it attaches, so triggering the logging from a SEPARATE tool call races the ~1-3s attach latency and is silently missed. To capture logs from an action, pass triggerJs (runs inside the window). Default window: 3 000 ms. Maximum: 15 000 ms. Omit pageId to auto-select the visible/active page.
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  • Plan a project-aware Apple repair for existing apps. Indexes the local project, classifies build/UI/runtime evidence, runs Cloud Check when source is provided, ranks likely SwiftUI/App files, returns a host-aware patch/proof plan, and writes .axint/repair plus a privacy-safe .axint/feedback packet. Use: use for existing app bugs with logs, UI symptoms, or runtime evidence; not for greenfield generation. Inputs: describe the observed bug and attach logs or evidence; modifiedFiles and project index narrow the plan. Effects: writes .axint/repair and privacy-safe .axint/feedback artifacts; reads local project files.
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  • Undoes a create_article_profile or log_pack_observation call, but only within 15 minutes of when it was confirmed, and only if nothing else now depends on it. For article_profiles: refuses if any packed_forms, consolidation_group_members, or edit-history rows now reference the article (edit it or delete it manually in the app instead of undoing). For consolidation_pack_observations: append-only ground truth past the 15-minute window, by design (PRINCIPLES.md P-17/P-18) -- undo only exists for a mistake caught immediately after logging it, never as a general edit/delete capability.
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  • Get detail for a specific CoreClaw worker run by run_id. WHEN TO USE: Use when the user gives a run id or wants status/cost/detail for a specific run. 中文触发: 当用户要在 CoreClaw 中查询、运行、重跑、停止、导出或查看对应 worker/run/task 数据时使用。 WHEN NOT TO USE: Do not use public web search or code search for private CoreClaw platform data. Do not call excluded internal worker-version or internal-detail APIs. RETURNS: JSON with run status, worker, version, timestamps, usage, traffic, error, and result count. WORKFLOW: Follow with results, logs, export, rerun, or abort tools for the same run_id.
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  • Submit a Pair Profile take (registered pairs). source `agent_deep` = you, answering the deep binary form from your logs; `human_short` = your human's likert5 self-report. Answer only from actual log evidence — if you have none for a statement, answer `unobserved`; never guess or extrapolate. Scoring is deterministic — same answers, same type, no LLM. Raw responses accumulate: retake as your logs grow. Your observed profile of the human stays unpublished until they approve it.
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  • Get build and runtime logs for a deployment. If no deployment_id is provided, returns logs for the latest deployment. Use this after calling deploy to monitor build progress and diagnose failures. Logs include: framework detection output, dependency installation, build steps, container startup, and health check results. If a deployment fails, check the logs for error details — common issues include missing dependencies, build errors, or the app not listening on the correct PORT (check the PORT env var — 8080 for auto-detected frameworks, or the EXPOSE value from Dockerfile).
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