An MCP (Multi-Agent Conversation Protocol) Server that enables interaction with the At-Work API (api.at-work.biz), allowing agents to communicate with this service through various transport modes like stdio, SSE, and HTTP.
Enables AI assistants to control Audacity for real-time local audio editing, mastering, and transcription through over 90 specialized tools. It allows users to perform complex audio processing tasks like noise reduction and podcast cleanup using natural language commands.
A Model Context Protocol server that enables authenticated access to Audible data for library management, searching, and metadata retrieval. It provides tools for tracking listening statistics, wishlists, and collections using signed-auth workflows.
Enables AI assistants like Claude to interact with Autodesk Construction Cloud Build platform for construction project management, including issues tracking, RFIs, submittals, and document management through natural language.
A Model Context Protocol server implementation for Autodesk Construction Cloud Build that enables AI assistants to manage construction issues, RFIs, submittals, photos, forms, and costs through natural language.
Control your Mac with detailed mouse, keyboard, screen, and window management capabilities.
MCP server for macOS Automator that enables AI to control Mac computers by executing AppleScript/JXA, running automation workflows, and performing system-level tasks like sending emails and organizing files.
A Python-based MCP server that exposes auto parts inventory data stored in Google Sheets. It enables AI assistants to search, list, and check stock levels for automotive parts via the Model Context Protocol.
An automated security operations center MCP server that uses LLMs and network analysis tools like Tshark to detect threats in traffic data. It enables users to automatically ingest PCAP files, query specific packets, and generate intelligent security analysis reports.
Gives AI assistants direct access to Autotask PSA for searching tickets, creating time entries, managing companies, projects, and more via natural language.
A Model Context Protocol server that provides AI assistants with access to comprehensive bird data, enabling queries across taxonomic classifications, conservation statuses, and geographic distributions from the AviBase dataset.
全面解析Awesome Ads MCP ServersMCP Server的核心功能、安装配置和实用案例。作为顶级Model Context Protocol服务器,Awesome Ads MCP Servers能让AI助手访问实时数据、执行操作,为您提供更智能的工作体验和自动化解决方案。
Provides tools for AI assistants to access the Agent Web Protocol (AWP) specification, validate agent.json files, and generate protocol-compliant configurations. It enables developers to integrate the AWP standard into their websites through natural language prompts and automated validation.
Enables connections to Azure AI Agents within any MCP client, allowing users to leverage Azure AI Foundry's models and knowledge tools like Azure AI Search and Bing Web Grounding through a conversational interface.
Interprets B2B buyer signals (hiring, funding, tech changes) into structured outreach implications for AI sales agents, bridging the gap between raw signal data and actionable intent.
MCP server that gives AI agents access to Babson's campus events and student organizations by merging live RSS feeds with historical iCal data into a unified, searchable timeline of 150+ events.
A Model Context Protocol server that enables AI agents to interact with Backlog API for managing projects, issues, wikis, Git repositories, and other Backlog features.
BankRegPulse MCP Server connects AI assistants to live banking regulatory data from 100+ sources including OCC, FDIC, CFPB, Federal Reserve, and all 50 state banking departments. Three tools: daily intelligence briefings, regulatory podcast audio, and pre-formatted LinkedIn posts — all updated daily at 6 AM EST.
Self-custody AI agent wallets with passkeys, gasless transactions & programmable permissions (ERC-4337)
AI agent identity and reputation registry. Ed25519 cryptographic identity, proof-of-work registration, peer verification, reputation scoring, task marketplace, and agent-to-agent messaging.

