"Information on ordering products from websites" matching MCP servers:

On Board is a local MCP server that gives multiple AI agents and IDEs a shared project memory, ticket queue, and handoff history, so agents can seamlessly continue each other's work. It supports agent-to-agent wake events, enabling autonomous workflows like reject-fix-resubmit cycles without human relay.

MCP server for self-hosted qTest Manager, enabling natural-language management of projects, modules, test cases, requirements, traceability, and test execution via the qTest REST API.

Enables comprehensive Trello integration via MCP, supporting boards, lists, cards, comments, labels, members, checklists, search, and attachments, deployed on Cloudflare Workers.

MCP server for Azure DevOps Server 2022 (on-premises) that enables AI assistants to interact with work items, repositories, builds, and sprints through 29 tools.

Enables AI assistants to interact with an on-premise Azure DevOps Server 2022, allowing users to list, view, create, and update work items through natural language.

MCP server for on-premises Azure DevOps that lets AI assistants browse repositories, review pull requests, manage work items, and interact with wikis, with NTLM authentication support.

DevsContext is an MCP server that provides AI coding agents with synthesized engineering context—requirements, decisions, architecture, and standards—from tools like Jira and Slack. It fetches and synthesizes relevant information on demand to help agents work on tasks correctly.

Enables Claude to interact with LifeUp Cloud API on your local network for task management, achievements, and user information. Supports 20 tools including creating, editing, and querying tasks, achievements, and shop items.

Connects AI agents to the Ploomes CRM REST API, exposing 56 tools for managing contacts, deals, tasks, pipelines, interactions, quotes, orders, products, fields, users, and account information.

Enables AI assistants to manage website feedback from Feedbucket, including listing, filtering, commenting on, and resolving feedback items through natural language interactions.

Enables defect management on the SEPP platform, allowing users to query defects, retrieve user project information, and set up automated monitoring with alerts for new or unresolved defects via webhook or email.

Remote MCP server for 2ools—build, version, review, and export websites, web apps, and games from the AI chat you already use. This repository includes a credential-free stdio proxy and Dockerfile that forward introspection to the verified remote endpoint without mocking tools.

Provides read-only access to JIRA REST API, enabling LLMs to query and retrieve information from JIRA instances.

Enables interaction with ZenTao project management system through RESTful APIs. Supports listing products, managing bugs, viewing statistics, and filtering personal bug assignments through natural language.

A TypeScript-based server that enables Cursor editor to interact with Jira tickets for viewing, creating, commenting on, and updating tickets directly from the editor.

A Model Context Protocol server that integrates JIRA directly into Cursor IDE, allowing users to view assigned issues, get detailed information on specific tickets, and convert JIRA issues into local tasks without leaving their editor.

Integrates Productboard API into agentic workflows, allowing interaction with companies, components, features, notes, and products from the Productboard platform.

A Python MCP server that retrieves requirements and bug data from TAPD platform to provide AI clients with project management information.

Provides a Model Context Protocol server implementation that allows AI agents and other MCP clients to programmatically interact with DefectDojo, a vulnerability management tool, for managing findings, products, and engagements.

Provides capabilities for searching Jira issues using JQL and retrieving detailed issue information.

Integrates Atlassian products (Confluence, Jira) with Model Context Protocol, enabling easy access to Confluence content and Jira tickets through the MCP interface.

Enables full CRUD operations on Zentao entities like requirements, bugs, tasks, test cases, projects, and products through natural language.

Model Context Protocol (MCP) server for Atlassian products (Confluence and Jira). Supports both Cloud and Server/Data Center deployments.

Remote MCP server for Pruva, enabling AI assistants to manage products, features, and documents over HTTPS with OAuth authentication.

Enables AI assistants to interact with Atlassian products (Confluence and Jira) through natural language, supporting both Cloud and Server/Data Center deployments. Allows searching, creating, and managing content across Jira issues and Confluence pages with flexible authentication options.

Enables MCP clients to read and edit Rundown Studio rundowns through the v1 API, including cues, cells, and ordering.

Model Context Protocol (MCP) server for Atlassian Cloud products (Confluence and Jira). This integration is designed specifically for Atlassian Cloud instances and does not support Atlassian Server or Data Center deployments.

Enables interaction with Atlassian Data Center products (Jira and Confluence) through natural language, with secure credential management.

Connects your Ashby recruiting data to Claude, enabling natural language queries and management of candidates, applications, jobs, interviews, offers, and team information.

Vyuha is an MCP server that enables coding agents to collaborate on a repository by providing tools for ticket creation, worktree management, code review, and staged deployment, all from local files.