"MCP servers that support SSE connections" matching MCP servers:

Enables AI assistants to work with Chapel code, including compiling, linting, and accessing educational primers.

MCP server for generating negative-space print supports for 3D models (STL/OBJ/STEP) via the negative.support API.

Enables an AI agent to act as first-line customer support on top of Microsoft Dynamics 365 / Dataverse, reading incoming synced emails, looking up contacts and published knowledge articles, and drafting HTML-safe replies or escalating to a human as a Case. Runs draft-only by default with safeguards against prompt injection, duplicate replies, and unsafe recipients.

Manages the state of a chess game for LLMs/agents without suggesting moves, providing tools to create/reset game, add moves, get status, and check legality.

Provides customer lookup, transaction history, knowledge-base search, and ticket management tools to any MCP client.

A local MCP server for governed support-ticket triage that reads synthetic tickets and knowledge articles, prepares evidence-backed recommendations, and records local audit events.

Enables Claude to manage customers and support tickets through database-backed CRUD tools, contextual customer and knowledge resources, and a reusable ticket-triage prompt.

A production-ready TypeScript MCP (Model Context Protocol) server for Cisco Support APIs with comprehensive security and dual transport support. This extensible server provides access to multiple Cisco Support APIs including Bug Search, Case Management, and End-of-Life information.

Enables agents to run support workflows across Gmail, Linear, Stripe, Slack, Notion and other apps — turning support email into tracked bugs with drafted replies, handling refunds end to end, and replying in-thread once issues are fixed.

Provides e-commerce customer support tools for order status, delivery, account, and policy questions, with RAG-grounded retrieval and strict authorization checks over mock data.

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.

Provides fast static embedding, similarity, and search capabilities via MCP tools and an OpenAI-compatible HTTP API using a tiny 16M-parameter English embedding model.

Enables local, deterministic management and search of point-of-sale support data—branches, terminals, incidents, and incident history—with read-only queries and mutating tools over stdio using simulated SQLite data.

Enables AI assistants like Cursor to manage customer support tickets in SQLite through MCP tools, supporting creation, retrieval, search, and updates via natural language.

Provides access to Deutsche Bahn's timetable data through MCP, enabling real-time train schedules, station search, and change tracking for German railway stations.

Protects AI support tools with Descope JWT authentication and scope-based authorization, enabling secure customer support operations like refunds with granular access control.

Enables searching and retrieving Knowledge Base articles from the Broadcom Support Portal for products like VMware, Tanzu, and Cybersecurity. Users can perform documentation searches and fetch specific articles in Markdown format via the SearchUnify API.

Enables access to AWS documentation through natural language by fetching and converting documentation pages to markdown, searching AWS docs, and getting content recommendations for AWS service documentation.

Exposes the customer-support tool registry over stdio so Claude Desktop or Claude Code can look up customers and orders, track shipments, search help-center articles, update shipping addresses, issue policy-checked refunds and escalate to a human. It reuses the same pydantic validation, ownership and refund policy, approval gate and audit logging as the HTTP agent, with the customer identity taken from server configuration rather than the model.

A local MCP server for managing Markdown notes, enabling create, list, read, search, summarize, and delete operations through natural language.