"Information about cursors" matching MCP servers:

MCP server integrating OBSS Timepiece Time in Status for Jira, enabling queries about issue durations, status histories, and aggregated metrics via natural language.

A read-only MCP server that gives LLM agents deterministic operational facts about Trello boards, including structural history, card movement, workflow flow, staleness, and due-date information.

Read-only MCP bridge connecting Claude Desktop to Merlin Project on Mac, allowing natural-language queries about plans, activities, resources, and project data.

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

Enables Claude to read and analyze project schedule files in OmniPlan (.oplx) and Microsoft Project (.mpp) formats, answering questions about tasks, milestones, resources, and progress.

A zero-dependency MCP server that answers common questions about Jira work, such as what is assigned to me, standup status, sprint health, and more, without returning raw issue JSON.

Connects Canvas LMS to Claude Desktop, enabling natural-language queries about courses, assignments, grades, and more.

Enables human-in-the-loop AI development where Trello tickets drive analysis, implementation, commits, and board sync in Cursor.

Enables AI agents to access Planning Center Online data including worship plans, song library, teams, and volunteer information through natural language queries and direct tools.

MCP server to provide Jira Tickets information to AI coding agents like Cursor

An MCP server for managing tasks in Cursor IDE, enabling AI agents to create, update, and comment on tasks via MCP tools, with a kanban dashboard and WebSocket events.

Captures comprehensive context about development issues and facilitates human assistance through structured API-based help requests.

Enables LLMs to interact with the Pipefy GraphQL API to manage pipes, cards, database tables, and records through natural language. It provides tools for searching, creating, and retrieving detailed information about Pipefy workflows and database entities.

Gives AI assistants read access to SDLC project artifacts stored in Supabase, enabling natural language queries about projects, artifacts, screens, and tech stacks, with optional IT cost estimation via Vertex AI Gemini.

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.

MCP server that gives LLMs full visibility into your ws-cli workspace tree, enabling queries about workspaces, git status, tasks, and saved browser tabs.

Provides sprint and developer analytics from Jira, answering questions about sprint content, developer performance, and refinement readiness. Can publish reports to Confluence for easy sharing.

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.