"Gathering Information from a Company's Website Root URL" matching MCP servers:

MCP server for Redmine that enables interaction with issues, wiki pages, and time entries through natural language.

Connects Claude to Jobber to manage clients, jobs, invoices, quotes, and scheduling through natural language.

Enables AI assistants to manage Bitrix24 CRM entities, tasks, project kanban boards, and Scrum sprints through an incoming webhook, requiring explicit user confirmation for all write operations.

Project management and session memory for AI agents that provides 13 tools for tracking projects, tasks, and context during AI coding sessions.

Enables Boneyard to call authenticated, stateless Streamable HTTP tools for searching tickets and adding ticket comments, with caller context, attribution, and bounded results.

Enables task management through MCP tools, resources, and prompts, backed by a PostgreSQL database.

A shared, concurrency-safe ledger for LLM code audits. It enables multiple agents to collaboratively report, verify, and resolve bugs with deduplication and hallucination resistance.

Read Layerdock website feedback in your coding agent. Each pin comes with the CSS selector, screenshot, page URL and the console and network trace captured when the client reported it. Fix the bug, reply on the thread and mark it resolved without leaving the editor. Works with Claude Code, Cursor, Codex CLI, Windsurf, VS Code, Zed and Antigravity.

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.

Lets an AI agent list, read, search, and (when individually enabled) write Markdown notes and manage a task list in one sandboxed root folder. Access is read-only by default, with each write tool enabled by name and all paths confined to that folder.

Connects AI coding assistants to a team prototype hub for deploying, sharing, and gathering feedback on prototypes, with context sync across sessions.

An MCP server for Things 3 on macOS that enables AI assistants to create, read, update, and manage tasks and projects. It utilizes the Things URL scheme for write operations and AppleScript for querying data from the app.

This MCP server lets GitHub Copilot fetch Azure Boards work items by URL or ID and generate QA test cases from the ticket content.

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

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

Connects AI assistants to Redmine to fetch full task details by key (e.g., PROJECT-123), including tracker, subject, description, comments, and URL.

Enables AI assistants to fetch ProofHub task details, comments, and bug tracker links from a URL, streamlining development workflows.

Integrates with Things 3 task management app on macOS via URL schemes, enabling creation, updating, deletion of todos and projects, navigation, search, and JSON batch imports.

A server that enables AI assistants to interact with Linear's project management tools through the Model Context Protocol, supporting features like searching, creating, and updating issues, adding comments, and retrieving user profiles and team information.

Enables local engineering workflow management by consolidating tickets, QA evidence, time tracking, root cause investigation, knowledge, and reporting into a single SQLite database, allowing generation of complete ticket packages for handoffs, dailies, or career evidence.

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

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

An MCP server that integrates with the Things productivity app to create, update, and manage todos and projects using its URL scheme.

Enables AI coding agents to read, search, triage, and fix website and asset feedback from Simple Commenter, including commenting, replying, exporting, and project management via MCP.

A Model Context Protocol server that connects AI clients to the Agile Luminary project management system, allowing users to retrieve project details, work assignments, and product information within AI conversations.

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

Enables AI assistants to retrieve Trello card information by ID or link, providing access to card details including labels, members, due dates, and attachments through a standardized interface.

Enables AI coding agents to collaboratively create and manage a specification roadmap persisted in PostgreSQL, progressing from constitution through specification, clarification, planning, task generation, and analysis, while exposing a get_next_task tool for implementation sessions.

Enables AI clients and workflow tools to search, read, create, and update Odoo projects and tasks, and to manage website page content including publishing and unpublishing, through named tools with explicit field allowlists. Access is role-controlled via bearer tokens and per-user Odoo instance scoping, with Odoo's own permissions and record rules enforced as a second layer.

Fetches structured Jira issue context from a URL, enabling coding agents to quickly understand issue intent and implementation details.