"Amazon Pay" matching MCP servers:

An MCP server that enables AI assistants to interact with Amazon Connect contact centers, providing 88 tools, 91 configuration templates, and multi-region support.

An AWS-native MCP server that posts to Slack (post_to_slack, post_file_to_slack) via an Amazon Bedrock AgentCore Gateway.

Enables asynchronous messaging and task handoff between Amazon Quick (local desktop) and Kiro (cloud DevSpaces) via an S3-backed message store.

Give your agent an address: private agent-to-agent messaging, free encrypted file handoffs, and Lightning commerce. Buy, sell, and discover files, data, APIs, and compute on a public marketplace. Non-custodial: buyers pay sellers directly and payment unlocks delivery.

Lets AI agents send notifications, manage templates and read delivery status.

Tells your agent whether a number is safe to call or text right now. Live US/Canada phone data: carrier, line type, LRN, CNAM, spam/scam reputation, SMS deliverability, and TCPA 8am–9pm calling-window verdicts, plus bulk jobs. Every query is a fresh network dip, never stale cache. Free sandbox key, no card required. Pay per lookup, no minimums.

An MCP server that exposes Nextcloud APIs as tools for AI assistants, enabling management of files, calendar, contacts, conversations, and more.

Lets AI assistants read rooms and notes and send signed messages to the chat over HTTP, with robust token signing and rate-limit handling.

MCP server providing 124 tools for censorship intelligence, encrypted agent messaging, and Voidly Pay onboarding, enabling AI assistants to access real-time censorship data, risk forecasts, and agent-to-agent communication.

Enables Telegram analytics (channel stats, search, sentiment) via MCP tools with pay-per-call in USDC, no API keys needed.

A comprehensive MCP server that enables AI to interact with all 68 functions of the Qiita API v2, covering articles, comments, tags, and team management. It allows users to perform CRUD operations on Qiita content and manage interactions through natural language.

Enables an AI assistant to drive a personal Discord account as if it were the user: reading and sending messages and DMs, managing servers, channels, roles, permissions, threads, invites and friends, joining voice, and clicking buttons, menus, modals and slash commands. An optional hardened mode runs it as an always-on local service with loopback-only HTTP access, encrypted credentials, an allowlist of reviewed tools, and an AFK session that keeps push notifications flowing.

Enables sending emails via Amazon SES, SMS/MMS/RCS messages through AWS End User Messaging, and sharing files via CloudFront-signed download links, all from AI assistants like Claude Code or Claude Desktop.

Comprehensive Discord selfbot MCP server enabling AI assistants to manage messages, channels, voice, friends, threads, and more using a user token.

MCP server for collaborative markdown editing, allowing agents to write documents and humans to comment, with comments fed back as agent input.

This MCP server enables an AI receptionist to manage field-service bookings end-to-end: checking technician availability from live Outlook calendars, sending asynchronous SMS offers, tracking request status, and creating confirmed Outlook events with ETag-locked concurrency, all without customer sign-in.

Remote MCP server providing 200+ Feishu tools (messages, calendar, Bitable, etc.) for Amazon Quick Desktop, hosted on AWS Bedrock AgentCore with multi-user OAuth isolation.

Read-only MCP server for Discord that lists guilds, channels, and reads or searches messages using a self-bot account via discord.py-self.

Google Calendar MCP server with natural language scheduling, conflict detection, smart slot finding, complex recurring events, and a Telegram bot interface. Self-hosted, works with Claude Desktop and any MCP-compatible client.

Enables AI agents to interact with Bluesky social network through optimized, token-efficient tools for posting, replying, searching, and managing social relationships. Features Windows-compatible implementation with context cleanup to minimize LLM token consumption.