"Using a localhost API for development" matching MCP servers:

MCP gateway for GREEN-API WhatsApp that lets AI agents send messages, manage instances, and receive notifications via WhatsApp using the Model Context Protocol.

MCP server that wraps the Evolution API (WhatsApp) as semantic tools for LLM agents, enabling messaging, chat management, group operations, and instance control via natural language.

Enables an agent to operate a single Evolution API v2 WhatsApp instance: read chats and message history, send text, media and polls, and manage groups, contacts, labels, templates, profile, webhooks and chatbots. It supports WhatsApp Web/Baileys, the official WhatsApp Business Platform and Evolution integrations, running locally over stdio or as a hosted server with toolset, policy and read-only controls.

MCP server enabling interaction with ServiceNow API for managing incidents, CMDB, change management, and other ServiceNow operations via natural language.

Send WhatsApp messages from any MCP client — text, images and files, plus session management and contact checks. Authenticate by scanning a QR code: no Meta Business approval and no WhatsApp Business account required.

An MCP-compliant server that enables AI assistants like Claude Desktop to access and analyze Intercom support tickets with full conversation history.

A Model Context Protocol server that enables Claude to interact with WhatsApp through the Evolution API, allowing for message sending, contact management, group operations, and WhatsApp instance administration.

Enables voice assistants to find nearby service providers, connect users to live video representatives for natural conversation, and handle appointment booking. It also returns confirmed bookings so the assistant can add them to its calendar.

Enables managing Ozon Seller and Performance APIs through MCP, covering products, stocks, prices, orders, finance, analytics, advertising, reviews, and chat operations.

Fetches category data from a Q&A service API and returns a markdown summary grouped by category.

Enables interaction with the HaloPSA API for managing tickets, clients, assets, and more through natural language commands in Claude Desktop.

Exposes internal company services as LLM-callable MCP tools, enabling AI agents to perform business operations like customer management, order processing, and support ticketing through natural language.

Run free live audience Q&A and polls from your agent: start an AskOne room, add and launch a poll, approve or hide questions and mark them answered, close the room, then read the questions as a FAQ draft and get the results. Free AI moderation. Uses an organization API token from askone.org

Connects AI assistants to GLPI service desks so they can manage tickets, ITIL objects (problems and changes), assets, knowledge base articles, users, rules and webhooks through natural language. Works with GLPI 10 and 11 via REST API v1 and the GLPI 11 API v2, with read-only and delete guards, idempotent creates, and support for both local (stdio/HTTP) and hosted OAuth deployments.

A comprehensive MCP server for managing Zendesk Support, Talk, Chat, and Guide products, providing tools for tickets, users, organizations, search, and more.

Enables Boneyard to call authenticated, stateless Streamable HTTP tools for searching tickets and adding ticket comments, with caller context, attribution, and bounded results.

Privacy-first Telegram MCP server enabling maintainers to triage chats, inspect context, search messages, draft replies, and send authorized messages locally without a cloud relay.

Gives Alexa+ voice access to track household insurance claims, refunds, repairs, and disputes, and to chase them via disclosed AI phone calls while keeping money and legal decisions with the human.

Enables AI clients to securely query and analyze Zoho Desk helpdesk data using natural language, translating prompts into structured queries and returning clean results.

Enables interaction with Zendesk Support for managing tickets, comments, and filtering via the Model Context Protocol. It allows LLMs to perform actions like creating, updating, and listing support tickets through natural language in a Heroku-native environment.