"Getting the Most Out of Jina Framework" matching MCP servers:

Shrimp Task Manager is a task tool built for AI Agents, emphasizing chain-of-thought, reflection, and style consistency. It converts natural language into structured dev tasks with dependency tracking and iterative refinement, enabling agent-like developer behavior in reasoning AI systems.

Enables LLM agents to interact with Yandex Tracker (and future Yandex services) using per-user credentials instead of a shared org-wide token, supporting both single-user and multi-user modes.

Enables AI-powered task management in OmniFocus with support for project reviews, planned dates, repeating tasks, custom perspectives, hierarchical subtasks, and advanced filtering. Perfect for Claude AI integration with comprehensive CRUD operations for tasks, projects, and folders.

An MCP server that enables AI assistants to interact with Atlassian Jira and Confluence across Cloud and Server/Data Center environments. It supports tasks like searching and summarizing documentation, managing Jira issues, and creating content through natural language.

Connects Claude Desktop to Canvas LMS to monitor academic activities like assignments, announcements, and upcoming deadlines. It enables users to track courses and pending tasks through a unified interface using the Canvas REST API.

Exposes a curated set of Bot Army tools (chat, GTD tasks, docs search, dice roll) to external SSE-only MCP clients via authenticated SSE transport.

An MCP server that analyzes Linear feature dependencies using dominator analysis to identify the keystone ticket that unblocks the most downstream work.

Gives local coding agents safe, read-only access to an existing Jira instance through MCP over stdio, keeping Jira credentials out of the LLM. It exposes tools for reading issues, comments, linked items, JQL search results, assigned open issues, and project metadata.

The most comprehensive Azure DevOps MCP server & CLI — 13 tools, 82 actions, single Go binary.

A Model Context Protocol server implementing a Getting Things Done assistant with tools for tasks, projects, inbox, next actions, and statistics. Supports local SQLite and Databricks deployment.

An opinionated brownfield planning workflow (PT-BR) with agents, slash-commands, and framework, shipped as an MCP server that syncs the kit into multiple IDE native layouts like Claude Code, Cursor, Codex, and others.

MCP server for the GSD (Get Shit Done) lifecycle framework. Exposes GSD project state, phases, milestones, and commands as MCP tools and resources.

Stdio-based MCP server exposing Jira tools for searching, creating, getting, commenting on, assigning, and transitioning issues, as well as listing projects, with authentication via token or basic auth.

An MCP server that enables communication with Jira, allowing users to perform operations like getting, searching, creating, and editing issues through natural language interaction.

Integrates with the addTaskManager iOS/macOS app to manage tasks, projects, and ideas through the ADD (Assess-Decide-Do) framework. Enforces realm-based restrictions where users can create/edit content in Assess, assign contexts/dates in Decide, and mark items complete in Do.

This read-only MCP Server allows you to connect to Jira data from Claude Desktop through CData JDBC Drivers. For full CRUD support, check out the first managed MCP platform: CData Connect AI (https://www.cdata.com/ai/).

An MCP server for interacting with the Cutover API, enabling management of cutover events and related operations through natural language.

The most complete MCP server for Huly, the open-source project management platform. It connects MCP-compatible clients to a Huly workspace, enabling management of projects, issues, milestones, components, documents, labels, and more via natural language.

Enables comprehensive TestRail test management integration with support for projects, test cases, runs, results, advanced reporting, analytics, and AutoSpectra test automation framework synchronization.

Implements the Getting Things Done methodology with custom meeting SOPs, enabling capture, processing, and context-based management of tasks and projects, integrated with AI assistants via MCP.