"Implementing the functionality of the akshare library" matching MCP servers:

Enables MCP-compatible assistants to connect to a user's workspace, read across boards, notes, checklists, habits, money, meals, chores, and chat, and make scoped additions, changes, or removals with attribution.

Enables people to open a shared group chat as a card inside their own AI chat, where they and their AIs talk together and post, claim, and confirm tasks on a self-organizing board. Its tools also let any AI read the repository's code and submit a proposed change that becomes a pull request.

Runs 20 slash-command workflows across Google Calendar, Gmail, Linear, Slack, Granola, Google Docs, GitHub, Stripe, Notion, Google Forms, Sheets and Drive to produce morning briefs, meeting prep, action items assigned to owners and weekly updates. Reads proceed without asking, while anything that creates, sends, changes or deletes is shown for approval first.

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.

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.

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.

Read visual bug reports from Feedbug in your AI coding agent: screenshot, console logs, failed network requests, session replay and the DOM context of the element the tester clicked. Trace the bug to its source file, comment and resolve without leaving the editor.

Process memory for AI agents and humans that remembers the evolution of a project. Provides MCP tools to create timeline events, search history, explain files, and visualize the evolution graph.

Connects Claude and other MCP-compatible AI assistants to the AI Bounty Board, enabling natural language discovery, claiming, and submission of bounties.

Automates the generation of professional worklogs by analyzing git commits with AI enhancement and seamlessly posting them to the Povio dashboard. It enables users to list projects, extract ticket numbers, and manage worklog entries through natural language commands.

MCP server for Redmine that provides full read/write coverage of issues, projects, wiki, time tracking, and more through 73 tools via the Redmine REST API.

Provides AI models with full access to Jira Cloud functionality, enabling issue management, project tracking, sprint planning, and agile board operations through the Jira REST API v3 and Agile API 1.0.

MCP server for the Bullet API, enabling management of tasks, notes, and events through natural language across various MCP clients.

MCP server for self-hosted qTest Manager, enabling natural-language management of projects, modules, test cases, requirements, traceability, and test execution via the qTest REST API.

Enables to interact with Jira AIO Test Case Management System, allowing retrieval of test cases, projects, folders, and search functionality.

A server that enables management of ApiPost API documentation and team collaboration through the Model Context Protocol, supporting complete interface management directly from compatible editors.

Enables comprehensive management of OmniFocus on macOS through 17 specialized tools for projects, tasks, and organization. Users can create, update, and filter items or navigate the interface using natural language via the Model Context Protocol.

Enables management of TestRail projects, test cases, runs, and results directly through MCP-supported clients. It provides a comprehensive set of tools to interact with the TestRail API for seamless test cycle management within AI environments.