"Speech recognition technology and systems" matching MCP servers:

A FastMCP-based server designed for the banking and fintech domains, providing tools for database queries, Git operations, and deployment management. It features a modular architecture with reusable prompt templates and integrated security practices for sensitive data handling.

Enables searching GitHub users and repositories, fetching details, and performing stock market technical analysis via AlphaVantage.

Enables file extraction, organization, and GitHub repository management through MCP tools, allowing AI agents to copy/move files, delete repositories, and automate workflows.

RCP-1 is an enterprise-ready MCP server that connects AI assistants to SAP ABAP systems via the ADT REST API, with built-in security, access controls, and deployment options for BTP or on-premise.

Enables agents to autonomously resolve GitHub issues by editing code, running tests, and opening pull requests, while enforcing guardrails that protect critical files and systems.

Provides comprehensive Git operations as tools for AI assistants and applications. This server enables AI systems to interact with Git repositories, allowing to initialize, fetch, commit, log, status, etc..

Enables autonomous project management with intelligent synchronization between GitHub, Notion, and Motion, including pattern recognition, self-optimization, and automated field population.

The Nx MCP server provides LLMs with comprehensive insights into your monorepo: project dependencies, file relationships, executable tasks, ownership metadata, technology stacks, custom generators, and Nx documentation. This deep context enables LLMs to produce code perfectly aligned with your archi

Enables models to query enterprise systems—structured data, live GitHub REST API, and unstructured document embeddings—through a single, per-caller scoped MCP tool surface with task-shaped tools and recovery-aware errors.

Enables AI clients to inspect backend systems through structured engineering tools including Git history, Winston logs, OpenAPI contracts, and sandboxed source code.

Enables AI systems to securely interact with self-hosted Bitbucket repositories, pull requests, projects, and code through the Model Context Protocol.

Connects AI assistants to SAP systems through the ABAP Development Tools API, exposing 85 tools that cover the full ABAP development lifecycle — reading and writing source, creating and activating objects, managing transports, running syntax/ATC checks and unit tests, querying tables, refactoring, remote debugging, tracing, and executing code — all without SAP GUI. Supports single- or multi-system landscapes with credentials supplied by the MCP client at launch.

A comprehensive Model Context Protocol server implementation that enables AI assistants to interact with file systems, databases, GitHub repositories, web resources, and system tools while maintaining security and control.

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Automates iteration management and code review submission workflows with DingTalk authentication. Supports interactive 5-step iteration creation, Git integration, smart time estimation, and automatic submission to company CodeReview systems.

Enables AI assistants like Claude to navigate git repository history, providing insights into code evolution and helping understand legacy systems.

Enables AI systems to interact with Atlassian Bitbucket Server/Data Center for accessing projects, repositories, branches, files, and managing pull requests.

Enables AI assistants to query GitHub trending projects, analyze language and technology trends, and generate visual trend reports.

A high-performance server for analyzing GitHub user starred repositories, providing insights into development trends, technology adoption patterns, and timeline tracking.

A single MCP server that exposes safe, permission-checked tools for AI assistants to reach file systems, databases, APIs, Git, cloud services, and business applications.