"Developing a versatile MCP server for analyzing project workflows in Windsurf" matching MCP servers:

Provides a versatile MCP server with calculator tools, webhook integration for n8n workflows, a customer support playbook resource, and a webinar-to-blog prompt template.

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

A versatile MCP server providing tools for arithmetic operations, n8n webhook integration, and access to a customer support playbook resource. It also includes specialized prompt templates for converting webinar transcripts into engaging blog posts.

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

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.

Laya-MLX as an MCP server (and plain-HTTP API). It answers typed decisions — choose an option / score a rubric / is this true? — on your own machine (Apple Silicon / MLX), with no cloud and ~10ms after warm-up. Not a chatbot. No token-by-token text, no JSON that can break. One forward pass returns a structured answer you can branch on. Ideal for routing, triage, classification, lead scoring, and g

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 an AI to perform customer support workflows by looking up customers, retrieving orders, and creating support tickets through MCP tools.

Exposes a churn risk model, a support ticket classifier, and a retrieval-augmented policy Q&A pipeline as callable MCP tools. Enables any MCP-aware AI client to orchestrate all three capabilities within a single conversation.

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

Bridges LLMs with enterprise IT operations by resolving user intents via Dataverse, creating ServiceNow service requests, and triggering Azure Automation Webhooks.

Enables eBay sellers to manage inventory, view orders, handle messages, and browse listings through AI assistants using eBay seller APIs.

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.