"How to create draft emails using Gmail's support agent class" matching MCP servers:

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

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

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.

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

MCP server that acts as a live fantasy football draft assistant, syncing ESPN or Sleeper boards and providing pick recommendations with reasoning and survival odds.

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 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 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.

A minimal MCP server using FastMCP to demonstrate tool creation, including a get_weather example.

Enables users to turn any API's documentation into a tested MCP server whose tools expose the API's own operations, with linting, contract tests, and live verification. It accepts OpenAPI/Swagger, Postman, RAML, WSDL, GraphQL, RSS, and HTML docs.

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.

One-pass agentic inbox triage as an MCP server: fetch unread Gmail → classify (action_needed/fyi/newsletter/noise) → summarize → extract tasks → draft replies as Gmail DRAFTS (never sends) → flag calendar → write a triage report. Four stdio tools (fetch_emails, save_gmail_draft, append_tasks, write_report); the host is the LLM, so it runs keyless in Claude Code. Gmail scopes: readonly + compose

Enables searching and retrieving documentation from crawled documentation sites as an MCP server, allowing coding agents to query real docs instead of relying on training data.

Enables an MCP-compatible AI client to author Blender Python, run Blender, import the resulting asset into Unity with materials and a prefab, place it in the active scene, verify the import, and revise the same asset using stable IDs.

Fetches a URL and returns the main content as clean Markdown, using plain HTTP when possible and headless Chromium for JavaScript-rendered or bot-protected pages.

MCP server exposing statistical regression testing for LLM agents as a "run" tool: p-value, effect size, and confidence interval on whether agent behavior actually changed.

Converts AI Skills (following Claude Skills format) into MCP server resources, enabling LLM applications to discover, access, and utilize self-contained skill directories through the Model Context Protocol. Provides tools to list available skills, retrieve skill details and content, and read supporting files with security protections.

Enables local conversion of PDFs to Markdown, with automatic OCR fallback for scanned pages, image extraction, and page-by-page structure preservation.