Enables AI-driven customer support ticket processing, including classification, response generation, and automated email sending and Google Sheets logging.
Enables LLM agents to operate WhatsApp through the Evolution API, providing tools to list groups, fetch message history, and send text messages to groups or individual phone numbers.
Bug bounty platform for vibe coders. Post bugs from AI-generated code, browse bounties, apply to fix, submit solutions, and run website diagnostics from any MCP client.
MCP server for AI-native L1 support: triages tickets, answers from a knowledge base, escalates to L2 via Telegram/GitHub, and manages feedback, with a LangGraph workflow and safety guardrails.
Enables creating and deploying AI sales agents to WhatsApp and Webchat from AI coding assistants like Claude and Cursor, with automatic website research and no-code setup.
Read-only MCP server for Twilio call data, providing tools to search calls, fetch recordings and transcripts, list agents, and generate summaries while explicitly handling timezone and duration measurement discrepancies.
Enables interaction with Pega case operations through a metadata-driven tool layer, allowing users to fetch, update, and manage cases. It supports standard Pega actions such as retrieving case details, attaching documents, and submitting case actions via API.
Enables reading and writing Zendesk tickets, including searching, fetching comments, posting replies and internal notes, setting ticket status, assigning tickets, logging time, and formatting tickets as Markdown issue drafts for handoff to GitLab, GitHub, or Jira.
Enables AI assistants to manage website feedback from Feedbucket, including listing, filtering, commenting on, and resolving feedback items through natural language interactions.
Bridges Claude Desktop with a HITL escalation service, enabling creation, approval, modification, and management of human-in-the-loop requests directly from the chat interface.
Enables AI models to interact with WhatsApp instances through the Wawp API, allowing sending files, checking connection health, and making API requests.
Model Context Protocol server that enables AI assistants to query and analyze project feedback and bug reports from FeedbackBasket projects, with filtering by category, status, sentiment, and search capabilities.