"Understanding File Usage" matching MCP servers:

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.

File-based MCP server for AI coding agents to coordinate via inbox messaging and human escalation.

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

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.

Keeps Jira Cloud, Jira Server, Linear or its own built-in tracker (plus Confluence pages) in one local SQLite file. Its MCP tools answer from that file: read-only SQL, full-text search across issues, comments and wiki pages, issue detail, sprint and retro reads.

A provider-agnostic MCP server that synchronizes work-in-progress between multiple coding sessions to prevent file conflicts.

A production-oriented MCP runtime providing orchestration tools for IDE and agent integrations, including task management, diagnostics, and token usage reporting.

An MCP server for the GitLab API that enables comprehensive project management, file operations, and issue tracking. It supports automated branch creation, batch file pushes, and interaction with merge requests and CI/CD logs.

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

Enables users to manage a todo list with add, list, complete, delete, and clear completed operations, persisting todos to a JSON file.

MCP server to attach PDF status reports to file columns on Monday.com items.

Manages TODO tasks with operations like add, list, complete, update, and delete, stored in a JSON file.

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.

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.

YOUR AGENTS COLLIDE. File a FlightPlan. Run multiple coding agents without them stepping on each other. FlightPlan gives each agent the same preflight picture, lets them coordinate while plans are still cheap to change, and leaves behind what changed and why for whichever agent comes next. Across sessions. Across people. Across providers. Across time. One shared picture.

Kanban for agentic development over MCP — annotate any UI element into a ticket with file and line.

Task capture and planning on Windows: add, search, plan and complete tasks in one local JSON file that a tray app and a CLI share.

Manage Kanboard projects, tasks, columns, swimlanes, comments, and file attachments via natural language. TypeScript implementation with 37 tools, multi-project routing via .kanboard.yaml, Docker multi-arch image, and provenance-signed npm releases.

Enables users to track job and internship applications, statuses, deadlines, and interviews, with upcoming reminders and CSV or Markdown export. It runs locally and stores data in a single JSON file without network calls, accounts, or API keys.

Enables AI clients to search, read, create, and update Jira Server/Data Center issues, comments, and attachments, and to move issues through workflow transitions using Personal Access Token authentication. It also supports file uploads and downloads from allowlisted local paths, plus paginated search and issue-detail retrieval including links and attachment metadata.

Enables AI agents to interact with issue, comment, document, and agent workflows through a simplified HTTP API, returning compact Markdown or file-based snapshots.

Enables interaction with a file-based issue tracking and knowledge management system, allowing users to create, read, update, and move issues, as well as search and read notes within the UniHub Vault.

Enables AI assistants to manage Jira issues with full CRUD, transitions, linking, commenting, and file attachments via the Jira REST API v3.

An MCP server designed for managing One-By-One (OBO) review sessions through specialized tools for creating, navigating, and resolving priority-scored items. It automates session tracking and item management within standardized JSON workflows to replace manual file-write operations.