Skip to main content
Glama
22,760 servers. Updated

"Transcribing Voice Conversations into Structured Meeting Notes" matching MCP connectors:

GET /v1/connectors – MCP directory API reference

Matching Connector Tools:

  • Provision, SSH into, run commands on, and manage Linux VPSes from an AI agent. Pay USDC over x402 (Base) or by card over HTTP 402, a running box in under 60s. No signup, no API key to buy. This remote endpoint offers free browse/discovery, quotes, and server status.

  • The AWS Knowledge MCP server is a fully managed remote Model Context Protocol server that provides real-time access to official AWS content in an LLM-compatible format. It offers structured access to AWS documentation, code samples, blog posts, What's New announcements, Well-Architected best practices, and regional availability information for AWS APIs and CloudFormation resources. Key capabilities include searching and reading documentation in markdown format, getting content recommendations, listing AWS regions, and checking regional availability for services and features.

  • The Telnyx MCP server is an official implementation of the Model Context Protocol that enables AI clients (like Claude Desktop, Cursor, and OpenAI Agents) to interact with Telnyx's telephony, messaging, and AI assistant APIs. It provides comprehensive capabilities including making and managing phone calls, sending SMS/MMS messages, purchasing and configuring phone numbers, creating AI assistants with custom instructions, managing cloud storage buckets, scraping and embedding website content, and handling integration secrets. The server exists as both a local implementation and a remotely hosted version, allowing developers to integrate real-world communication infrastructure directly into AI applications.

  • The Google GKE MCP server is a managed Model Context Protocol server that provides AI applications with tools to manage Google Kubernetes Engine (GKE) clusters and Kubernetes resources. It exposes a structured, discoverable interface that allows AI agents to interact with GKE and Kubernetes APIs, enabling them to inspect cluster configurations, retrieve Kubernetes resource YAMLs, monitor operations like cluster upgrades, diagnose issues, and optimize costs—all without needing to parse text output or use complex kubectl commands.

  • Run, debug, and triage tests from your IDE using natural language, no dashboard switching, no manual data transfers. The TestMu AI (formerly LambdaTest) MCP Server is a single remote server exposing four tool suites: HyperExecute — analyze your project, generate YAML configs and test runner commands, then monitor jobs and sessions. Automation — pull a TestID's details plus command, network, and console logs into one chat for instant root-cause analysis. Includes mobile app upload. SmartUI — explain pixel, layout, DOM, and perceptual changes in a visual regression run, with context-aware React/HTML/CSS fixes. Accessibility — audit any public URL or a local React app against WCAG and get ready-to-apply remediation steps. Connects over https://mcp.lambdatest.com/mcp using OAuth 2.1 — no API keys in your config. One-click install in Cursor; works with Claude, GitHub Copilot, Cline, and any MCP client. Tests execute on the TestMu AI cloud: 3,000+ browsers and 10,000+ real devices.

  • Publish a single HTML file as a live HTTPS site in seconds. Tools: list_sites, create_site, get_site_html, deploy_site, get_deploy_history. Deliberately has no delete tool, so an agent cannot destroy the user's work; every deploy is versioned and restorable. Useful for turning AI-generated HTML (artifacts, canvases, reports, dashboards) into a shareable URL.

  • Give your AI coding assistant a backend to deploy to. WiseWall turns a static site into a real product — magic-link accounts, a per-member database, Polar-powered payments, and a server-side paywall — and this package lets your coding agent drive all of it: deploy, configure a custom domain and DNS, manage secrets, create plans, without ever opening a dashboard.

  • B2AI infrastructure API for autonomous agents. Normalizes AWS, Azure, and GCP into a unified schema with execution kits (Terraform + CLI), cost estimates, and cross-provider recommendations.

  • Turn Claude or ChatGPT into a website builder that ships a real site to a live URL you own.