"Speech recognition technology and systems" matching MCP servers:

Provides image recognition capabilities using Anthropic Claude Vision and OpenAI GPT-4 Vision APIs, supporting multiple image formats and offering optional text extraction via Tesseract OCR.

Enables comprehensive Google Meet and Calendar management through Google Calendar API v3 and Google Meet API v2, supporting calendar event creation with Meet links, space management, transcription, recording, attendance tracking, and meeting moderation controls.

Enables AI assistants to solve CAPTCHAs using OCR text recognition, object detection, and slider position matching through the ddddocr library.

MCP server for step-by-step mathematical reasoning and planning, enabling AI agents to execute calculations and perform GUI actions like opening PowerPoint.

Enables AI assistants to discover and invoke generated CRUD actions as MCP tools and read-only data as MCP resources, so they can interact with REST APIs through a standard protocol.

Enables an AI assistant to browse folders, search and read notes, create and edit them, and move notes between folders within an account. Runs locally through a supported MCP client and supports basic Markdown while refusing edits that would lose existing formatting.

Enables AI assistants to interact with Inflow Inventory API for managing ingredients/products and inventory operations. Supports product creation, updates, search, and stock adjustments through natural language commands.

lets you interact with your meeting data (to list, ask, summarize, extract - virtually anything about your meeting) through Claude’s desktop client across Zoom, Google Meet and MS Teams via tl;dv.

Enables AI assistants to interact directly with Roblox Studio to explore project hierarchies, edit scripts, and perform bulk object manipulations through over 37 specialized tools. This enhanced fork features long polling for near-instant responses and improved support for script editing and attribute management.

Enables scoped project discovery, deterministic rule and profile management, and durable automation with trigger/pause/resume/cancel and audit history for approved project contexts.

MCP server for PullPush.ai integration sync engine, providing 43 tools to manage connectors, flows, sync operations, diagnostics, and more through the Model Context Protocol.

Enables AI agents to create documents from templates, send them for legally valid Argentine electronic or digital signature, track status, download signed PDFs with audit certificates, and cryptographically verify signatures.

Model Context Protocol server for the GlobKurier API. Enables AI assistants (Claude, Cursor, Cline and others) to track shipments, search shipping products and generate purchase links.

Enables synchronization and management of FoundryVTT journal entries within a Notion Story Bible, including media export and conflict resolution tools. It provides a Model Context Protocol interface for LLMs to preview, apply, and monitor data mirroring between tabletop RPG platforms and digital databases.

A production-ready foundation template for building Model Context Protocol (MCP) servers with FastAPI, featuring modular tools, comprehensive testing, and OpenShift deployment configurations. Includes automated transformation scripts to create custom domain-specific MCP servers.

Enables simulation and analysis of M/M/1 and M/M/c queuing systems using SimPy, with tools for parameter validation, theoretical metric calculation, simulation execution, and comparison of separate vs pooled queue strategies.

A server that allows Claude to control audio playback on your computer, supporting MP3, WAV, and OGG files with features like play, list, and stop commands.

Enables an MCP-capable AI client to drive a locally installed, licensed Autodesk Inventor through its COM API for local modeling tasks. It supports creating and updating a rectangular plate and a parametric quickchanger concept assembly, opening and inspecting parts and assemblies, and returning viewport previews.

A simple Model Context Protocol (MCP) server that provides date and time functionality in any timezone, along with user profiles and personalized greeting resources.

A multi-tool AI assistant system that uses Model Context Protocol to connect language models with various tools, including math calculations and weather information.

A Python-based Model Context Protocol server that allows AI assistants like Claude to access and query your movie and TV show collection via Radarr and Sonarr APIs.

An MCP server for GitHub Copilot that enables reading and processing Excel workbooks (.xlsx) via Docker Compose. Users can extract data from entire workbooks or specific sheets by name or index, returning the information in JSON format.

Enables LLM interaction with the Macau University of Science and Technology (M.U.S.T.) campus system, including automated login to Wemust and Moodle, retrieving class schedules, checking assignments and deadlines, downloading course materials, and managing course content.

Enables fast text classification using Model2Vec static embeddings with 10 default categories (technology, business, health, etc.), supports custom category management, batch processing, and provides both local and remote deployment options.

A Tesseract.js-based server that enables image-to-text recognition within MCP-compatible environments like Cursor. It supports multiple languages and common image formats, allowing users to extract text from local files using natural language commands.

A Model Context Protocol server that enables large language models to access the latest trending news headlines and detailed content across various categories including recommended, domestic, technology, and sports news.

Enables users to create UI flowcharts by generating visualizations of user interfaces and interactions through an easy-to-use API within MCP-compatible systems.

Enables interaction with Odoo ERP systems through 17+ business tools covering sales, purchasing, inventory, and accounting operations. Supports both Claude Desktop integration and web deployment with dual transport modes.

Enables LLM applications to make voice calls and send SMS messages through the Vonage API, allowing AI assistants to perform real-world telephony operations with support for speech recognition and customizable voice parameters.

Enables AI assistants to automate Android devices and Windows desktop applications through MaaFramework, supporting multi-device control, OCR text recognition, screen capture, clicking, swiping, text input, and Pipeline generation for reusable automation workflows.