"Using voice commands to interact with Claude Desktop" matching MCP servers:

Enables secure remote access to your computer's filesystem and terminal through MCP, allowing AI assistants to manage files, run commands, and automate tasks from anywhere via a hosted relay.

MCP server that enables AI tools to control local browser sessions for ChatGPT, Claude, and other AI services, supporting querying, navigation, file uploads, and artifact management.

Public read-only MCP server for FoxTrove Voice, enabling LLMs to query call logs, customer records, assistant stats, and analytics via secure OAuth.

Enables AI agents to search, update, manage files, and run terminal commands on a computer, with remote access via Streamable HTTP and OAuth 2.0 for integration with ChatGPT and web agents.

Enables AI assistants to query PostgreSQL, MySQL, SQL Server, Oracle, and MongoDB databases through MCP with read-only, audited access.

Connects your WordPress.com account to Claude Desktop, enabling you to read your feed, check notifications, manage tags and follows, and discover new blogs through natural conversation.

A Model Context Protocol server that provides AI assistants access to AWS CloudWatch Logs, enabling browsing, searching, summarizing, and correlating logs across multiple AWS services.

Enables real-time voice agents and streaming audio pipelines to detect conversational turn completion, distinguishing finished speech turns from mid-sentence hesitation pauses using acoustic VAD and semantic scoring. It provides low-latency decision and telemetry output through a native MCP interface for integration with MCP-compliant clients.

This MCP server lets AI agents connect to Figma to read, analyze, create, and modify designs, including elements, styles, assets, and code generation. It works with free Figma accounts and supports parallel multi-agent use across MCP-compatible clients.

Enables searching job listings on joblet.ai by title, company, location, and employment type, and retrieving full job details including description, responsibilities, requirements, salary, and apply link.

Enables monitoring influencer brand share of voice and creator mention sentiment using Meltwater data, delivering deterministic structured output for MCP-compatible clients.

Enables low-latency conversational turn-taking and barge-in handling for real-time voice AI interactions, orchestrating speech flow with sub-100ms responsiveness.

Enables end-to-end latency profiling for real-time voice agents, tracking key metrics like VAD, STT, LLM-TTFT, TTS-TTFB, and playout bottlenecks, returning low-latency telemetry decisions.

TallyPrime MCP server for CA firms and accountants: reads trial balance, outstandings with ageing, vouchers, and purchase and sales registers on your own computer. Posting is off by default; when on, you approve each voucher. Windows and Apple Silicon Mac.

Enables MCP agents to retrieve Japanese voice presets and synthesize anime-style speech, including reference-conditioned voice cloning, using the CPU of the computer running the local Gradio app.

Enables agents to transform tabular Markdown content into structured, type-inferred records with normalized formatting through an MCP-compatible interface.

Enables converting Markdown and HTML tables into structured JSON records with automatic column type inference and format normalization. It also offers supporting web-agent primitives such as DOM semantic pruning, form field auto-mapping, and execution trajectory evaluation, all via a zero-dependency MCP server.

Enables agents to break high-level business objectives into dependency-ordered sub-task graphs and then directly generate the finished deliverables, such as financial spreadsheets, executive presentations, and analytical reports. It runs as a zero-dependency Python MCP server over JSON-RPC stdio, adding deterministic authorization, role-boundary validation, and telemetry.

MCP server for terminal operations and file editing, enabling AI assistants to manage files, run commands, and process large content with auto-chunking.

Enables MCP-compliant agents to analyze speech prosody and vocal sentiment from audio-derived input, measuring speech rate, pitch variance, and user cognitive fatigue. Exposes these deterministic results over JSON-RPC so clients can dynamically calibrate their response pacing.