"A proxy MCP server for connecting to other MCP servers" matching MCP servers:

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

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.

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.

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 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.

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

Enables AI clients to securely access and query Microsoft Dynamics 365 data through natural language, supporting data analysis, reporting, and business workflows.

Enables MCP clients such as Claude Desktop and Claude Code to read café rules, rota, and staff data, check proposed rota changes against the owner's rules, and evaluate customer chat replies before sending. Every tool is read-only, with code checks applied first and AI judging used only when needed.

Enables AI assistants to manage WhatsApp instances, send and receive messages, run campaigns, configure webhooks, manage team members, and view metrics through OAuth-secured MCP tools, with optional message replies on the user's behalf.

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

Integrates weather tools with Intercom, providing real-time weather alerts, forecasts, and personalized customer greetings using National Weather Service API data.

Enables AI agents to prompt users for input directly within the chat UI using MCP's elicitation capabilities, allowing for interactive multi-turn conversations without leaving the conversation interface.

Provides MSP support tools (ticket search, draft response, KB search, update) with a deterministic security guardrail that refuses to draft responses for security tickets based on content scanning, even if mislabeled.

Enables reading Apple App Store customer reviews, publishing developer responses, and deleting them via the App Store Connect API with a narrow Customer Support role.

Enables small-business AI assistants to answer customer questions about hours, offerings, FAQs, staff, and booking from a single business.yaml config, with industry-specific tools and guardrails.

Read-only MCP server for querying Creatio support cases and related entities via OData API, with entity allowlist and row limits for safe access.

Enables AI agents to manage a fictional B2B workspace SaaS (Tessera) with tools for ticketing, invoicing, customer management, and trial extensions, featuring a human-in-the-loop confirm pattern for safety.

Exposes five tools for querying and analyzing a customer-support dataset, including listing categories/intents, filtering, counting, and summarizing records.

MCP server for managing and composing customer replies for a phone and computer repair shop, with built-in templates and WhatsApp link generation. Supports Arabic and English.

Enables Claude and any other MCP client to place and control voice calls, run conferences, stream call audio to AI agents, build IVRs, read call records and recordings, manage phone numbers, SIP trunks, applications, sub-accounts and billing, and send SMS/MMS/RCS on a Vobiz account. Calling, messaging and account changes stay off until explicitly enabled, with every write confirmed, rate-limited and idempotent.

Simulates a multi-tenant customer support backend with tools for profile, order, ticket, and refund management, demonstrating security controls like tenant isolation, role-based access, and input validation.

Enables AI agents to audit and analyze Zendesk instances through a read-only MCP interface, providing tools for triggers, automations, analytics, and cross-reference queries.

Enables AI agents to query a local bakery's hours, menu, custom-order availability, and submit demo inquiries through a clean MCP interface.

MCP server that provides tools for order lookup, return eligibility checks, return processing, billing status, and human escalation, simulating a return/billing inquiry triage system using local JSON data.

Demo MCP server for booking confirmed sales appointments through Claude. Allows users to request appointments, check status, and get detailed BANT briefings using natural language, with realistic fake data for demonstration.

Enables AI agents to create, query, search, and manage Movidesk tickets directly via natural language.

Enables AI assistants to manage a helpdesk knowledge base by drafting and publishing articles, syncing markdown, maintaining snippets, reviewing FAQ suggestions, and checking which articles are available to AI assistants.