"Exploring Computer Usage" matching MCP servers:

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.

Exposes 3 meta-tools to efficiently search and execute 174 backend CRUD tools, reducing context token usage by ~98%.

Minimal MCP server for Jira with configurable tools to reduce token usage, starting from ~150 tokens for basic issue retrieval.

Enables complete product development lifecycle management through 26 MCP tools for PRD, task, and plan management with dependency tracking, workflow automation, and real-time project dashboards. Supports multi-session usage with transaction safety and intelligent workflow analysis.

MCP server and CLI tool for interacting with Kaiten project management API, optimized for token efficiency. Enables AI assistants to search, create, update, and manage tasks with minimal token usage.

A token-lean MCP server for Jira Cloud that enables natural language interaction with issues, comments, transitions, and more through a set of seven normalized tools, reducing token usage via field allowlists and ADF-to-Markdown conversion.

A token accounting plugin for Claude Code that meters AI token usage, attributes costs to Jira stories, and generates evidence-backed reports for performance reviews and budget requests.

A simple, beginner-friendly Model Context Protocol (MCP) server written in Python. It lets any MCP-compatible AI client (like Claude Desktop) manage a to-do list on your computer through five tools: add, view, get by ID, complete, and delete.

A read-only MCP server that provides AI agents with live, structured workspace awareness, including project listing, git status, and budgeted context packing, minimizing token usage.

Project-aware MCP server for richcorabbithole-api development that reduces token usage by caching file contents and providing high-level operations like running tests, getting project status, and managing Asana tasks.

Enables AI agents to drive spec-driven development workflows from the IDE by exposing tools for exploring, proposing, applying, verifying, archiving, listing, showing, validating, status, and context operations.

Enables interaction with SmartSuite workspace data through natural language, providing 6 tools for querying, managing records, exploring schemas, and performing operations with human-readable field names across 10+ configured table types including projects, tasks, clients, and schedules.

Enables coding agents to publish hierarchical project plans and task status changes to a mobile app in real time, letting developers monitor progress and blockers without checking their computer.

Multi-client MCP server for Jira, enabling project and issue management for multiple simultaneous users with efficient resource usage.

A working MCP server implementation in TypeScript/JavaScript that supports all major bounty operations (list/claim/submit/status). Includes example Claude conversations showing usage.

An MCP server for Dart AI task management that enables bulk operations using DartQL selectors to minimize token usage and context rot. It provides tools for batch updates, task and document CRUD, and safe CSV imports with integrated dry-run capabilities.

Enables AI-powered document platform integration for Claude Code, Cursor, and Cline, providing session management, knowledge base, usage tracking, sheet operations, and Spark AI features.

Token-efficient MCP server for Jira and Confluence that returns lean, flat responses to minimize token usage. Enables issue/comment/transition management, JQL/CQL search, and Confluence page operations.

MCP server for Jama Connect that brings requirements, traceability, tests, and baselines into MCP clients like Claude, Cursor, VS Code, or GitHub Copilot, with access control, audit trail, and rate limiting. It provides 53 tools across 8 individually enableable toolsets, with an admin dashboard for managing access and usage.

Enables Claude Code to use a filtered subset of Atlassian Rovo MCP tools for Jira and Confluence, automatically injecting required parameters and stripping noisy fields to reduce token usage.