"Information about magic or magical topics" matching MCP servers:

Allows Claude Code agents to pull tasks from an EasyTopic Kanban board, automate planning, commenting, approval, implementation, and closing of topics.

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

MCP server for DCI API enabling AI models to extract and analyze DCI jobs, components, and topics, with integrations for Google Drive, Jira, GitHub, and Red Hat support cases.

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

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.

Provides capabilities for searching Jira issues using JQL and retrieving detailed issue 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 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 Claude to read and analyze project schedule files in OmniPlan (.oplx) and Microsoft Project (.mpp) formats, answering questions about tasks, milestones, resources, and progress.

Enables AI assistants to securely connect to OpenProject workspaces and browse, query, and reason about projects, work packages, saved queries, and related metadata via the OpenProject REST API v3.

Enables MCP-capable AI assistants to search and retrieve past Jira issues, resolutions, and recurring topics from a fully local embedded knowledge base using hybrid semantic and keyword search.

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

Enables read-only intelligence over a Linear workspace by serving snapshot and change-history data stored in Cloudflare D1, so clients can answer questions about current work, project and milestone progress, member activity, and weekly reports without modifying Linear or invoking an LLM.

Enables AI clients to locally store and share tasks, work activities, long-term memory, knowledge, and people information, while allowing users to review saved content and generate briefings or reports through a web UI.

Enables AI assistants to research topics, analyze codebases, generate requirements and user stories, scaffold starter projects, and run multi-step development workflows through natural language.

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.

Enables AI assistants to research topics, generate product requirements and user stories, map codebases, curate context, scaffold full-stack starter projects, and run multi-step development workflows.

Enables AI assistants to research topics, map and analyze codebases across 35+ languages, curate context, and generate requirements documents, user stories, task lists, and full-stack starter projects. It also supports multi-step workflow execution and AI-native task management through a CLI, interactive REPL, or MCP client integration.

Enables MCP-capable agents to fetch work from Slack threads, propose GitHub issues or updates, link messages to topics, ask the channel questions, and report write results, with human approval gates for GitHub actions.

Enables AI assistants such as Claude Desktop to access and manage amoCRM data—including leads, contacts, companies, tasks, pipelines, users, notes, and account information—through stdio or Streamable HTTP transports.

Enables AI agents and users to verify claims about Jira issues and issue counts against live Jira, retrieve verifiable facts for drafting updates, and re-check previously posted claims. It provides read-only tools and an issue panel so status updates can be evidence-based and mismatches corrected before or after posting.

Enables Claude to read and update the local job-search tracker, adding postings from screenshots, pasted text or links, drafting application emails, syncing Gmail to log sent applications and replies, and answering questions about what's due or which jobs match a criteria. Every change is validated and appears live on the dashboard with a timeline entry.

Enables AI assistants to research topics, plan software, generate requirements, create starter projects, map codebases, curate context, manage tasks, and run multi-step development workflows through MCP-compatible clients.

Enables AI assistants to research topics, map and analyze codebases, curate context, and generate PRDs, user stories, task lists, and fullstack starter projects through natural language commands or an interactive CLI/REPL. It also provides AI-native task management and multi-step workflow execution.

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

Enables Claude to read Jira CSV/JSON backlog exports, audit tickets for test readiness, and generate validated Gherkin acceptance scenarios tied to ticket criteria. It also tracks acceptance-criteria coverage and flags ambiguities or missing information for Product Owner follow-up.

Enables MCP clients to interact with Jira for managing tasks, including fetching assigned issues and creating new tasks. It supports retrieving detailed task information and filtering by project or status using the Jira API.

MCP server that gives Claude Desktop access to school data from Studie+ (Danish school platform), enabling queries about schedules, homework, assignments, and files directly in chat.

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.