"Lottery games and results" matching MCP servers:

Enables document conversion between PDF, DOCX, and Markdown formats to facilitate reading and editing complex files in AI tools like Claude Desktop or Cursor. It utilizes marker-pdf and pandoc to provide structured text versions of documents, helping to manage context and support unsupported file types.

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TheWeave is a markdown-native memory architecture for Claude and any MCP-aware agent. Your agent's memory lives as plain .md files you own: a 5-verb MCP core over the vault, query-driven PageRank retrieval, bi-temporal facts (valid_from / valid_until), and a persona-as-vault model. No database and no embeddings server. The files are the memory, inspectable in your editor and versionable in git.

Enables AI agents to control Hydra Launcher programmatically — search games, manage downloads, configure Proton, organize library, and more via 46 MCP tools.

Connects AI assistants to voidtools' in-memory indexing engine via native Windows IPC for millisecond file and folder searches, with advanced query syntax and tools for recent files, status, and sorted results.

An MCP server that gives LLM clients access to a SQL Server database and the local filesystem, including file operations and image handling.

MCP server for parsing PDF, images, and Office documents into Markdown using MinerU, with tools for document parsing and reading previous results.

Provides MCP tools for filesystem operations on resume directories, including watch, batch extraction, and saving match results.

Enables users to ask natural-language questions about a local folder's contents, including file names, sizes, and timestamps, with rollups by type and age and cleanup suggestions for stale or large files. It returns metadata only and cannot read, move, or delete files.

MCP server for the mGBA Game Boy Advance emulator. Read and write GBA memory, inject button presses, take screenshots, save/load state, and step the emulator through a Lua bridge.

Deterministic file operations for AI agents: 40 operations over plain HTTPS. PDF merge, split, redact, sanitize, OCR, Office and PDF to Markdown, RAG chunking, charts, QR codes, C2PA AI labelling. find_tool suggests the right one. $0.01 per operation, 100 free, no signup, credits never expire.

Enables uploading local files to Slack with a message, supporting channels, DMs, threads, and file titles.

A Model Context Protocol server that exposes Microsoft Edge browsing history across multiple profiles, allowing listing profiles and fetching history for a given day.

An MCP server that enables analysis of local media files, including video, audio, and documents, by uploading them to EnriProxy for server-side extraction. It supports various complex file formats and provides structured model analysis for media types often unsupported by standard MCP clients.

Enables agents to inspect PDF, Microsoft Office, and Apple iWork documents without rendering them, providing page/slide counts, metadata, security signals, structure, and integrity as deterministic JSON via typed tools and batch operations.

Enables reading, searching, editing, and writing files in legacy encodings such as GBK, Big5, Shift-JIS, and Windows codepages, with automatic detection and preservation of the original encoding.

Enables MCP-capable LLM clients to read browser screenshots captured by the SnapStack extension, stored locally and served over Streamable HTTP.

Enables coding agents to extract verbatim, intent-relevant spans from large low-density files like logs, CSV, JSON, and HTML, verified against the original file to reduce context usage.

Enables LLMs to discover, read, and edit tables in HTML/Markdown documents by converting messy collapsed HTML into clean pipe format and writing back with version-checked, surgical cell, row, and column operations.

MCP server that gives AI chat real vision by reading images, files, logs, and zip archives via local OCR in any language, with privacy-first processing.

Rust-powered PDF toolkit over MCP: create, read, and analyze PDFs; extract text and entities for RAG; convert to Markdown; split/merge/rotate/reorder pages; manage form fields and annotations; encrypt documents. Runs locally via uvx oxidize-mcp.

Enables AI agents to inspect and work with PDF files entirely on the local machine, covering page counts, metadata, layout, encryption permissions, scan-vs-text detection, and page rendering. Generated results land in a temporary workspace as short artifact ids that can be chained between tools and exported to real folders on request.

Enables filling uploaded document templates (DOCX/HWP/HWPX/PDF) with chatbot-generated content while preserving original formatting, tables, and images, and saving as files.

MCP server for reading and writing .docx files. Exposes four paginated tools so agents can batch-read document content and styles, write content, and union style definitions.

A minimal MCP server for UW Hyak (klone) that exposes tools to run shell commands and write files remotely, along with documentation resources for klone-specific utilities.

Enables local analysis of unstructured documents (PDF, DOCX, PPTX, SVG, PNG) by extracting text and structure with citation anchors, and verifies summaries against source material before a human approves saving a report.

Captures an agentic asset's foundational record as a single asset-record.json, including creation facts and author-only confirmed metadata. Provides MCP tools to record, read, and finalize provenance during asset development.

Address Markdown and GEML documents by block instead of by line: list, get, set, add, delete, rename, revert, find and check one block, with every write re-parsed and refused if it would brea

An MCP server for local PDF inspection that classifies, searches, extracts text and tables without uploading documents or relying on OCR, surfacing reliability warnings for garbled or scanned content.

A local, read-only MCP server that lets AI agents inspect and analyze photo libraries by scanning files, aggregating EXIF stats, finding duplicates, scoring blur, and generating cull reports without uploading any data.