"Using Linear with team-specific templates for ticket creation" matching MCP servers:

MCP server for semantic search of 1C (BSL) code templates with 2262+ community templates, CRUD web interface, and ChromaDB + embeddings for meaning-based search.

Enables searching and retrieving only human-confirmed issue-ticket knowledge, submitting draft tickets, and recording feedback with aggregated statistics through MCP tools.

An AI-powered support ticket management system that lets users retrieve, search, and update support tickets using natural language.

Enables querying the public n8n workflow template library via API, supporting search by keyword, category, app, or node, ranking by views, and exporting importable workflow JSON.

Provides retrieval-augmented generation (RAG) capabilities by ingesting various document formats into a persistent ChromaDB vector store. It enables semantic search and retrieval using either OpenAI or Ollama embeddings for processing local files, directories, and URLs.

Enables AI assistants to interact with the M-Team private torrent tracker API for searching resources, retrieving torrent details, and downloading torrent files. It provides a bridge for Model Context Protocol clients to manage and access private tracker content through natural language.

MCP server that encapsulates Apple Mail on macOS via AppleScript, enabling invoice PDF search, attachment saving, and message flagging through natural language.

An MCP server that exposes macOS Spotlight search as tools, wrapping mdfind and mdls to provide full-text and metadata file search across the system.

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 provides web search capabilities using Google Custom Search API and webpage content extraction functionality.

Enables AI assistants to fetch, search, and organize menu information from For Five Coffee café. Provides access to complete menu data, category filtering, and item search capabilities through both MCP and REST API interfaces.

A customizable Model Context Protocol server implementation that enables AI models to interact with external tools including weather queries, Google search, and camera control functionality.

Enables asking questions and performing semantic searches against an Inkeep knowledge base. Deployable to Vercel with Next.js.

A Model Context Protocol server that provides semantic search and intelligent access to a comprehensive list of free services and tools for developers.

Enables users to interact with PostgreSQL databases through natural language, with GitHub OAuth authentication and role-based access control.

MCP server that gives AI agents access to current web information through web_search and fetch_url tools, using Tavily, Brave, and DuckDuckGo providers with automatic fallback.

An Operit-compatible adapter of the Exa MCP server, enabling web search, code search, and company research capabilities in AI assistants. It fixes MCP handshake compatibility issues, allowing tools like web_search_exa and web_fetch_exa to load and run reliably.

An MCP server for integrating with the Brave Search API, and it supports HTTP proxying.

A server that provides real-time flight information query capabilities to AI assistants, allowing them to access detailed flight statuses, airport details, and related travel information.

Enables natural language search and analysis of uploaded PDF, CSV, and Excel documents using retrieval-augmented generation and MCP tools, providing contextual answers to user queries.