"Searching PubMed references and formatting them in Markdown" matching MCP servers:

Python MCP server for programmatic access to markdown-based knowledge vaults, enabling AI assistants to browse, read, search, update, and manage notes, tasks, and projects.

Enables async-first working practices by providing tools to draft decision docs, convert meetings to async artifacts, score status updates, and triage sync vs async tasks. It also offers reference tools for the Open and Async book's principles and coaching prompts.

Enables AI agents to break down complex tasks into manageable pieces using a structured JSON format with task tracking, context preservation, and progress monitoring capabilities.

MCP server enabling AI agents to interact with OpenProject API v3 for project management, including creating and managing work packages, projects, comments, time entries, boards, and user dashboards.

Enables AI to read live weather data and manage a persistent to-do list through MCP tools, demonstrating both read and write capabilities without API keys.

Enables comprehensive management of OpenProject work packages, projects, comments, and relations through natural language. Supports creating, updating, and organizing tasks with assignees, watchers, hierarchies, and inter-task relationships.

Goodday‑MCP is a lightweight Model Context Protocol (MCP) server designed to seamlessly integrate with the Goodday project management platform via its API v2. It enables querying of projects, tasks, and users—without altering any data—making it ideal for secure context-aware applications

A Model Context Protocol (MCP) server for Hubstaff API integration, enabling seamless time tracking, project management, and team collaboration through AI assistants.

A comprehensive MCP server providing advanced Redmine project analytics, web automation via Playwright, and iTunes music integration. It enables detailed tracking of sprint metrics, bug counts, and team performance through a token-optimized tool architecture.

Provides AI clients with per-project todo management and persistent context notes via MCP, enabling task tracking and resume summaries.

A collection of MCP servers for Slack, Jira, Confluence, and release coordination to automate QA workflows and daily release status reporting.

Enables AI assistants to search live jobs, view full details, save and track applications in a Kanban board, set follow-up reminders, and subscribe to job alerts—no account needed for searching.

Lets agents read a GitHub repository's live issues through read-only tools for listing, filtering, fetching details with comments and cross-references, searching, and exploring labels and milestones, with transparent pagination and provenance notes.

Repository-native protocol and MCP server for coordinating work items, documentation, changelogs, and project memory between humans and AI agents, using Markdown files in a Git repository as the canonical data source.

Enables reading and writing Zendesk tickets, including searching, fetching comments, posting replies and internal notes, setting ticket status, assigning tickets, logging time, and formatting tickets as Markdown issue drafts for handoff to GitLab, GitHub, or Jira.

Enables querying and managing Jira issues and Confluence pages through their Cloud REST APIs, preserving markdown formatting via direct ADF conversion.

An AI-first business and project management tool that stores data locally in Markdown and JSON files, exposed via the Model Context Protocol (MCP). Enables project, issue, client, contact, and note management through natural language.

Enables creating JDRA issues and registering them to weekly reports using natural language in Claude Code.

Task planning and tracking for AI agents with project-based organization and Obsidian-compatible markdown storage.

Give your AI the full context of how your business runs: CRM, finances, tasks, and memory in one self-hosted MCP server." Short + long descriptions lead with cross-domain reasoning ("which customers are behind on payment and what did we last promise them" reads the ledger and CRM in one answer) and self-hosted data ownership (your own Supabase, stdio, MIT).