搜索「Batch Processing」的结果

io.clawhub.rainshow/pdf-processing

从 PDF 中提取文本和表格，填写表单，并合并文档

UUID Generator — v4, v7, ULID, Nanoid (Batch 100)

vlatest

io.smithery.axel-belfort.uuid-generator

Unique identifier generation API for AI agents. Generate UUID v4 (random), UUID v7 (time-sortable), ULID, or Nanoid. Batch up to 100 at once. Sortable, compact, or cryptographically random formats. Tools: utility_generate_uuid. Use this for database record IDs, session tokens, correlation IDs, or idempotency keys. Returns ready-to-use identifiers in your preferred format. Returns: {ids[], format, count}. No API key required — x402 micropayment $0.001/call on Base L2.

io.github.pipeworx-io/batchdata

BatchData MCP — wraps the BatchData property-data + skip-trace API (batchdata.com)

site.chatgpt.xuikatwsicrdsidm.batchloom-studio-0913/evidence

Free report citation preflight and real-source trials; paid evidence via a local wallet adapter.

io.github.Nero-Engine/uscis-processing-time-monitor

USCIS processing times per form and office, plus whether your case can file an inquiry yet.

io.github.Nero-Engine/nz-visa-processing-monitor

Immigration New Zealand's official visa processing times per visa type, with change alerts.

io.github.Nero-Engine/au-visa-processing-monitor

Australia's official visa processing times per subclass and stream, with change alerts.

io.github.sadri-dridi/http-102

Meaning of HTTP 102.

io.github.hevangel/batch-review-mcp

Git diff and markdown review with a web UI plus MCP stdio for AI agents.

io.github.batchwatch/batchwatch-mcp

Ask batchwatch whether to batch a job and get the real measured queue evidence, not a guess.

io.github.trueoriginlabs/vibatchium

Patchright stealth + Vibium-style LLM-friendly CLI for agentic browser automation.

io.github.Wxt-ai/processing-capacity-planner

Select a processing profile

ai.pictomancer/image-processing

Image processing for AI agents: resize, convert, compress, crop, and web-ready AI-generated images.

io.github.Evozim/batch-request-bundler-mcp

Premium agentic endpoint for batch-request-bundler-mcp.

com.bonissystems/compliance-batch

Check whether a NAICS code aligns with a vertical: a routing-for-review signal, not a determination.

io.github.suparse/suparse-mcp

Extract structured data from PDFs and documents with Suparse AI OCR.

io.github.transloadit/mcp-server

Process video, audio, images, and documents with 86+ cloud media processing robots.

ai.filegraph/document-processing

Extract text from documents, manipulate PDFs, and perform OCR on images.

io.github.affaan-m/ECC/nutrient-document-processing

Process, convert, OCR, extract, redact, sign, and fill documents using the Nutrient DWS API. Works with PDFs, DOCX, XLSX, PPTX, HTML, and images. Use when converting, OCRing, extracting from, redacting, signing, or filling documents via the Nutrient DWS API.

io.github.NeverSight/learn-skills.dev/mobile-post-processing

Single-pass post-processing, URP Renderer Features, and mobile-safe screen effects for Unity

io.github.a5c-ai/babysitter/backend-async-processing

Implement backend async and background processing patterns — event-driven architectures, message queues, async task runners, and worker pools.

io.github.github/awesome-copilot/react18-batching-patterns

Provides exact patterns for diagnosing and fixing automatic batching regressions in React 18 class components. Use this skill whenever a class component has multiple setState calls in an async method, inside setTimeout, inside a Promise .then() or .catch(), or in a native event handler. Use it before writing any flushSync call - the decision tree here prevents unnecessary flushSync overuse. Also use this skill when fixing test failures caused by intermediate state assertions that break after React 18 upgrade.

io.github.ECNU-ICALK/AutoSkill/refactor-python-loops-to-use-pandarallel-for-parallel-processing

Converts sequential Python loops iterating over lists into parallelized operations using the pandarallel library, ensuring correct function scoping for FastAPI or standalone scripts.

io.github.ECNU-ICALK/AutoSkill/refactor-loops-to-pandarallel-parallel-processing

Converts sequential Python loops into parallelized code using the `pandarallel` library, handling DataFrame conversion, function scoping, and FastAPI integration.