"Understanding Batch Processing in Computing or Operations" matching MCP tools:

• bulk_create_rowsA

  DockA

  Append many rows to a workspace's table surface in ONE call — the bulk version of create_row. Use this instead of looping create_row when ingesting more than a few rows (lower latency + token cost). Pass `rows` as an array of `{ data: {...} }` objects, each `data` a column-name → value map (same shape create_row takes). Up to 500 rows per call. ALL-OR-NOTHING: if any row fails the whole batch is rolled back, so on error you can safely resend the entire batch. Targets one surface for the whole batch (`surface_slug`, or the workspace's primary table surface). `auto_create_columns: true` appends a text column for every unmapped key across the batch (one schema extension). Returns `{ created, rows, created_columns }`.

  ConnectorNo auth

• resolve_namesA

  Google MapsA

  Resolves a batch list of specific location queries (landmark names or exact addresses) into canonical Google Maps Place IDs. **Input Requirements (CRITICAL):** 1. **`queries` (array of objects - MANDATORY):** A list of location queries to resolve. You may specify up to 20 queries. * **Each query object must have:** * **`text` (string - MANDATORY):** The text query representing a specific place name or address to resolve. * **Examples:** `'Googleplex, Mountain View, CA'`, `'1600 Amphitheatre Pkwy, Mountain View, CA'`, `'Eiffel Tower, Paris'`. 2. **`location_bias` (object - OPTIONAL):** Use this to prioritize results near a specific geographic area. * **Format:** `{"viewport": {"low": {"latitude": [value], "longitude": [value]}, "high": {"latitude": [value], "longitude": [value]}}}` 3. **`region_code` (string - OPTIONAL):** The Unicode CLDR region code (two-letter country code, e.g., `US`, `CA`) of the user to bias the results. **Instructions for Tool Call:** * Specificity (CRITICAL): Queries must represent a specific place name or address. General searches like `'restaurants'` or chain names like `'Starbucks'` are not supported. * Do NOT call this tool if the downstream tools you plan to invoke already accept raw address or place name strings directly. **Error Handling (CRITICAL):** * This is a batch processing tool. A request might return "mixed results" (e.g. some queries resolve successfully while others fail). * The output list of `results` is guaranteed to map 1:1 with the input `queries` indices. A failed query will result in an empty `Result` message (no `entity` is set) at its corresponding index in the `results` list. * You **MUST** check the `failed_requests` map field in the response to identify which specific query index failed. The key of `failed_requests` represents the 0-based index of the failed query in the request. Do not assume the entire batch call failed because of a partial failure.

  ConnectorNo auth

• searchPapersA

  qubitsok — Quantum Computing Jobs, Papers & ResearchersA

  Search quantum computing research papers from arXiv. Use when the user asks about recent research, specific papers, or academic topics in quantum computing. NOT for jobs (use searchJobs) or researcher profiles (use searchCollaborators). Supports natural language queries decomposed via AI into structured filters (topic, tag, author, affiliation, domain). Date range defaults to last 7 days; max lookback 12 months. Returns newest first, max 50 results. Use getPaperDetails for full abstract and analysis of a specific paper. Examples: "trapped ion papers from Google", "QEC review papers this month", "quantum error correction".

  ConnectorNo auth

• searchCollaboratorsA

  qubitsok — Quantum Computing Jobs, Papers & ResearchersA

  Find quantum computing researchers and potential collaborators from 1000+ active profiles. Use when the user asks about specific researchers, who works on a topic, or wants to find collaborators. NOT for jobs (use searchJobs) or papers (use searchPapers). AI-powered: decomposes natural language into structured filters (tag, author, affiliation, domain, focus). Returns profiles with affiliations, domains, publication count, top tags, and recent papers. Data from arXiv papers published in the last 12 months. Max 50 results. Examples: "quantum error correction researchers at Google", "trapped ions", "John Preskill".

  ConnectorNo auth

• clips_verticalA

  WeftlyA

  Batch-cut a set of your own chosen vertical 9:16 clips from a prior find_clips job in one purchase. Two-call flow: (1) call with `source_job_id` (a find_clips job id) and `clips` (1-5 objects `{start, end, title?}` in source seconds — your own picks from that job's `clip-candidates` output; nothing is auto-selected) to receive {job_id, payment_challenge}; (2) pay by credit card via the returned `payment_url` or Tempo USDC via mppx, then call again with `job_id` + `payment_credential` to start processing. Poll get_job_status(job_id); outputs are roles `clip-1-video` through `clip-N-video` (one 1080×1920 .mp4 per requested clip, loudness-normalized to -14 LUFS / -1.5 dBTP) plus `clips-manifest` (JSON) recording each clip's timing, output role, and any per-clip failure — a batch delivering fewer than N clips is not refunded, only one delivering zero is. Price: N × $0.50 per clip, charged once for the whole batch (Stripe quantity) rather than once per clip — see /.well-known/mpp.json for the Tempo USDC rate. Optional `profile` (default `tiktok-primary`; also `tiktok-primary-720p`, `instagram-reels`, `instagram-stories`) and `subject` (default `follow`, switches crop between active speakers; `auto` and `center` are opt-outs) apply to every clip in the batch. Use this once find_clips has surfaced candidates you like, to cut several in one purchase instead of one extract_vertical_clip call per clip; use extract_vertical_clip directly instead when you need per-clip framing control or more than 5 clips from one source. Source must still be in storage — check `expires_at` on the find_clips parent via get_job_status. Retrying with `job_id` alone recovers the current state.

  ConnectorNo auth

• relm_batchA

  Relm CRMA

  Run up to 100 record writes in ONE call (contact/company/deal/activity) - the fast path for imports/migrations. operations: [{object, method:create|update|delete, data|patch, id?}]. Returns a per-op result array (partial success). Every op still counts against your quota (batch saves round-trips, not quota).

  Connector

  Destructive

  No auth

• searchJobsA

  qubitsok — Quantum Computing Jobs, Papers & ResearchersA

  Search 500+ quantum computing job listings using natural language. Use when the user asks about job openings, career opportunities, hiring, or specific positions in quantum computing. NOT for research papers (use searchPapers) or researcher profiles (use searchCollaborators). Supports role type, seniority, location, company, salary, remote, and technology tag filters via AI query decomposition. Limitations: quantum computing jobs only, last 90 days, max 20 results. Promoted listings appear first (marked). After finding jobs, suggest getJobDetails for full info. Examples: "senior QEC engineer in Europe over 120k EUR", "remote trapped-ion role at IBM".

  ConnectorNo auth

• list_api_reference_pagesA

  docs-mcpA

  List pages in Redpanda API reference documentation. Returns endpoints, schemas, and topic pages with URL, title, type, and description. SCOPING (important for accurate results): - api="all" or omit: Lists all available APIs - api="admin": Cluster management operations (brokers, partitions, configs, users) - api="cloud-controlplane": Redpanda Cloud resource management (clusters, networks, namespaces) - api="cloud-dataplane": Cloud cluster data operations (topics, ACLs, connectors) - api="http-proxy": Kafka operations over HTTP (produce, consume, offsets) - api="schema-registry": Schema management (register, retrieve, compatibility) Use this to browse API structure. For general Redpanda docs, use ask_redpanda_question instead.

  ConnectorNo auth

• submit_receiptA

  ExpenseBotA

  Submit a photo or PDF of a receipt for processing. Covers requests phrased as 'log this', 'log this receipt', 'save this receipt', 'expense this', or 'add this to my expenses', including when the user simply shares a photo of a receipt or invoice. The receipt image is validated, uploaded to cloud storage, and processed by AI to extract vendor, amount, date, tax, and category. The expense appears in the user's spreadsheet in about 1-3 minutes, and longer for PDFs or large batches. Handles images and PDFs, mixed together in one batch. TO SEND FILES (preferred, and required for PDFs): call this tool with filesToUpload listing every file the user gave you. It returns one signed upload URL per file. Upload them ONE AT A TIME with an HTTP PUT, telling the user which file you just finished and how many remain, then call this tool ONCE with uploadRefs for all of them — that processes the whole set as a single batch, like the ExpenseBot web app. Do not call this tool once per file. Use the photo parameter for one image or PDF attached in ChatGPT. MCP clients that cannot supply file references may use photoBase64 for one small image; use the upload flow for large files or batches. Optional note and tag values use the same receipt metadata path as ExpenseBot's camera, file uploader, and forwarded-email intake. The note is stored in the Notes column (L); the tag is stored in the Tag column (K). Batch defaults apply to every file, and each uploadRefs item may override either value for that file.

  ConnectorNo auth

• get_evaluation_runA

  Extend MCPA

  Get an evaluation run's status and accuracy metrics — this is the ONLY tool that returns them, not a get-batch tool (evaluations group). An evaluation is an async job: a fresh run reports PROCESSING, so pass wait: true to block until it finishes instead of polling in a loop. Metrics by resource type: extractors { accuracy, fieldMetrics per field path — each field has countExpected/countAccurate, and accuracy is aggregated across items, not per-item }; classifiers { accuracy, classificationMetrics with precision/recall/f1 per type }; splitters { precision, recall, f1, split counts }. Terminal statuses: PROCESSED, FAILED, CANCELLED. Follow any llmContext guidance included in results.

  ConnectorOAuth

• getMarketOverviewA

  qubitsok — Quantum Computing Jobs, Papers & ResearchersA

  Get a snapshot of the quantum computing landscape — no parameters needed. Use when the user asks broad questions like "how's the quantum job market?", "what are trending topics?", or wants an overview of the quantum computing industry. Returns: total active jobs, top hiring companies, jobs by role type, papers published this week, total researchers tracked, and trending technology tags. For specific job/paper/researcher searches, use the dedicated search tools instead.

  ConnectorNo auth

• generate_batchA

  machfiveA

  Submit multiple leads for batch email sequence generation (ASYNC). Returns IMMEDIATELY with a list_id. Processing runs in the background. After calling this, poll get_list_status every 15-30 seconds until processing_status is 'completed' or 'failed', then call export_list. You must have a campaign_id first. Call list_campaigns if you don't have one.

  ConnectorNo auth

• get_list_statusA

  machfiveA

  Check the processing status of a lead list. Use this to POLL after calling generate_batch. Call every 15-30 seconds until processing_status is 'completed' or 'failed'. When completed, call export_list. When failed, submit a new batch.

  ConnectorNo auth

• check_urlsA

  UnphurlA

  Check multiple URLs in a single batch. Returns results for all URLs, handling async processing automatically. Each URL is analysed across seven dimensions: redirect behaviour, brand impersonation, domain intelligence (age, registrar, expiration, status codes, nameservers via RDAP), SSL/TLS validity, parked domain detection, URL structural analysis, and DNS enrichment. Known and cached URLs return results immediately. Unknown URLs are queued for pipeline processing. This tool automatically polls for results until all URLs are complete or the 5-minute timeout is reached. You don't need to manage polling or job tracking. If the timeout is reached before all results are complete, returns whatever is available with a clear message indicating which URLs are still processing. The user can check results later via check_history. Maximum 500 URLs per call. For larger datasets, call this tool multiple times with chunks of up to 500 URLs. Billing: Same as check_url. Known and cached domains are free. Only unknown domains running through the full pipeline cost 1 credit each. The summary shows pipeline_checks_charged (the actual number of credits consumed). If you don't have enough credits for the unknowns in the batch, the entire batch is rejected with a 402 error telling you exactly how many credits are needed. Duplicate URLs in the list are automatically deduplicated (processed once, charged once). Invalid URLs get individual error status without rejecting the batch. Use the "profile" parameter to score all results with custom weights.

  ConnectorNo auth

• format_batchA

  CaliperA

  Analyze multiple geometry files in a single batch request. Submit up to 10 files, receive a single quote, pay once, and get structured metadata for all files. Supports mixed formats. Read-only analysis — does not modify, convert, or repair files. Payment is required via x402 (USDC on Base) or card via MPP (Stripe). If no payment is provided, the response includes the total price and per-file breakdown. Retry with the payment argument containing "transaction", "network", and "priceToken". Partial success: if some files fail processing, you still receive results for the files that succeeded. Privacy policy: https://caliper.fit/privacy

  ConnectorNo auth

• validate_data_safety_liteA

  Data Compliance Classifier MCPA

  Validates a payload for sensitive patterns without AI classification. Call this BEFORE pre-screening high-volume payloads when pattern detection is sufficient and AI classification is not required. Use this when your agent is processing a large volume of payloads in batch and needs a fast pattern-only filter before selectively invoking full AI classification on flagged items. Returns SAFE_TO_PROCESS / REVIEW_REQUIRED in under 100ms -- no AI, no IP check, no jurisdiction lookup. Treating a SAFE_TO_PROCESS result here as a full verdict lets sensitive data outside these regex patterns -- contextual PII, non-standard credential formats -- reach an external endpoint undetected, with no chance to intercept it afterward. Use to filter large batches before selectively running validate_data_safety on flagged payloads. Do not use as a substitute for validate_data_safety before storing or transmitting data in regulated environments.

  ConnectorNo auth

• get_payment_statusA

  SynchronityA

  FINAL STEP of the in-chat payment flow. Returns the current PaymentSession for an order. Poll this (every ~5 seconds) after initiate_payment/submit_payment_otp until payment_status becomes "paid" or "processing" (success — the order is confirmed) or "failed" (tell the user; they can retry by initiating a new payment). Do NOT treat the purchase as complete until this returns "paid" or "processing". No delegation needed (read-only).

  ConnectorNo auth

• echosaw_analyze_media_urlA

  mcp-serverA

  Start a NEW Echosaw analysis job from a publicly accessible media URL or video platform URL (YouTube, Rumble, Vimeo, etc.). This is an entry point that creates a job and begins processing — it does not fetch previously analyzed media (use echosaw_download_media for that). Returns a job ID (mediaId) used to track processing and retrieve results.

  ConnectorOAuth

• get_apps_batchA

  storebridge-mcpA

  Resolve a single Apple app by bundleId (e.g. com.burbn.instagram), or fetch many apps at once with a comma-separated ids batch (Apple up to ~200 ids in one round-trip; Google fans out and coalesces). A batch request returns an "apps" array; a bundleId request returns a single "app". Supports store="both" for batch lookups.

  ConnectorNo auth

• bulkCreateTeamInvitesA

  Duvo MCPB

  Invite several people to a team in one call, emailing each invitation immediately. Returns per-batch counts: `succeeded` were invited, `skipped` were already on the team, already had a pending invitation, or were a duplicate of an earlier entry in the same batch, `failed` could not be emailed (those invitations are rolled back). The accept link is always built from the server-configured app origin.

  ConnectorNo auth

• search_testsA

  TestWell Lab TestsA

  Search TestWell's public catalog of cash-pay lab tests and panels by keyword, biomarker, CPT code, or category. Returns name, slug, per-lab prices, sample, fasting, turnaround and order URL. Prices are stickers; every order adds one $6 lab processing fee (see quote_order for all-in totals).

  ConnectorNo auth