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    Enables AI agents to perform local video, audio, and file operations inside an isolated workspace, including cutting/concat videos, extracting audio, transcribing, and managing files, with typed responses and background job support.
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    Enables AI agents to extract text from Brazilian court case PDFs and images fully offline, checking legibility, OCR-ing only the pages with corrupted fonts, and returning page-level text labelled as native text or OCR with sheet numbers ready for citation. Supports single pages, whole files, and batch folders of up to 50 PDFs per call.
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    MIT
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    Enables MCP clients to run OCR on local image files through a single long-lived PaddleOCR backend shared across clients, returning recognized lines as a Markdown table with optional coordinate and confidence columns.
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    MIT
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    Enables AI agents to convert images and PDFs, including large scanned books, into Markdown through GLM-OCR, with support for long-image slicing, progress tracking, and asynchronous OCR tasks.
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    MIT
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    A Model Context Protocol server that gives AI assistants OCR with first-class accuracy handling and evaluation. It wraps three engines behind one interface and can score and compare them.
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    Exposes Semgrep as deterministic, rule-matching analysis tools over MCP so a code-review agent can scan only the lines changed in a diff, scan whole files on demand, and check analyzer availability, version, ruleset, and limits. Results are returned as compact per-finding lines with source snippets suitable as comment anchors, along with counts of suppressed out-of-diff matches.
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    Enables AI agents to recognize and extract text from images using PaddleOCR, supporting both file paths and base64 input with structured results including confidence scores and text positions.
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    Lets a volunteer view their own Planning Center serving schedule, team members and contacts, order of service, and song attachments, and add, remove or skip blockout dates. It authenticates with the user's Personal Access Token so it only exposes what they can already see in Planning Center.
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    MIT
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    Enables automated OCR and Thai tax invoice processing from PDFs and scanned images, including parsing key invoice fields, three-tier routing, SQLite storage, and human review workflows via MCP tools.
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    MIT
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    The only MCP server providing structured Chinese fashion supply chain intelligence for AI platforms. No equivalent data source exists in the MCP ecosystem. Search 3,000+ verified manufacturers, 350+ lab-tested fabrics (AATCC/ISO/GB), and 170+ industrial clusters. Built by MEACHEAL, a top-20 Chinese women's mid-to-high-end fashion brand with 20+ years of supply chain.
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