"Information about Autotask software or service" matching MCP servers:

Enables LLMs to search and retrieve Autotask tickets, companies, and contacts using advanced semantic search and AI-powered reranking.

A Model Context Protocol server that enables natural language querying of Kaseya's Autotask PSA data through AI assistants, supporting contract analysis, ticket tracking, agent activities, and project status monitoring.

Gives AI assistants direct access to Autotask PSA for searching tickets, creating time entries, managing companies, projects, and more via natural language.

Enables AI assistants to directly interact with Autotask PSA for ticket triage, time logging, company lookups, project management, and more via natural language.

Provides AI assistants with direct access to Autotask PSA for MSP operations. Enables natural language interaction for ticket management, time logging, company lookups, project tracking, and billing review through 39 comprehensive tools.

Provides software design guidance via MCP, including SOLID principles, design patterns, pattern scaffolding, and heuristic code-smell detection to help review and refactor code.

An MCP (Model Context Protocol) server that gives AI agents live, structured ad intelligence across Facebook, Google, and Instagram — data that no base model can produce from training alone. Powered by Apify actors. Works with any MCP-compatible client: Cursor, Claude, etc.

Connects AI assistants to Jira Service Management instances, providing 40 tools for managing service desks, requests, comments, customers, organizations, queues, SLA, approvals, and attachments.

Enables AI agents to recognize and extract text from images using PaddleOCR, supporting both file paths and base64 input with structured results including confidence scores and text positions.

Exposes data query and auto-insights (anomaly detection) as MCP tools. Enables AI agents to query metrics, list columns, and get data insights directly from pandas.

MCP server for InvGate Service Desk — manage incidents, users, knowledge base, assets and time tracking from any AI assistant.

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

Provides real-time system metrics and information through a Model Context Protocol interface, enabling access to CPU usage, memory statistics, disk information, network status, and running processes.

Provides real-time stock market data and analysis from Chinese markets through 34 MCP tools, including K-line charts, technical indicators, fundamental analysis, financial metrics, and market insights without requiring authentication or API tokens.

Provides echo tools for testing MCP protocol functionality with message echoing, delayed responses, and JSON data analysis capabilities.

Enables users to retrieve and structure shipment tracking information from DB Schenker's website using natural language queries.

Integrates ThePornDB API into MCP-compatible applications to search for adult video scenes, movies, and JAV content. It enables users to retrieve detailed performer profiles and comprehensive content metadata through specialized tools for LLM applications.

Connects AI tools to BlazeMeter's Service Virtualization platform, enabling natural language management of virtual services, transactions, and configurations.

Provides tools to monitor host system health including CPU load, disk usage, and network status while enabling file system management tasks like searching and moving files. It includes built-in safety guards to prevent operations on critical system directories.

An MCP server that provides real-time weather alerts, forecasts, stock market data, and news information through various API integrations.