"Using Gemini CLI for research purposes" matching MCP servers:

A token optimised ClickUp CLI with built in MCP server that provides an efficient way to get data from ClickUp without consuming large amounts of LLM context

Agent-friendly CLI and MCP server for TickTick and Dida365 task management APIs, enabling project and task management with stable JSON output and OAuth authentication.

MCP server for job search and application tracking, enabling AI agents to search jobs, get details, manage applications, and find contacts across 128K+ jobs and 1,900+ companies.

Transforms AI agents into spec-driven product engineers by managing the software project lifecycle through requirements, design, implementation, and archiving phases with state-aware MCP tools.

Provides AI assistants with a standardized interface to interact with the Todo for AI task management system. It enables users to retrieve project tasks, create new entries, and submit completion feedback through natural language.

MCP server for TickTick task management. Enables AI assistants to create, update, list, search, and complete tasks via natural language.

MCP server that wraps the jira-cli command-line tool to enable AI assistants to interact with Jira.

A demo MCP server for research project management that enables document ingestion, information extraction, project tracking, and report generation through MCP tools.

Exposes Task CLI operations to AI clients as structured MCP tools, enabling task creation, listing, completion, and read-only project status while sharing the same local storage as the command-line interface.

A local MCP server that bridges Claude Desktop/Cowork to the Azure DevOps CLI, enabling full use of az devops, az repos, az boards, az pipelines, and az artifacts commands.

Azure DevOps MCP tools for Claude Code and Codex CLI, enabling interaction with boards, work items, repos, and pull requests via natural language.

Enables MCP-compatible clients to manage AI agent teams, including agents, Kanban issues, projects, goals, approvals, budgets, and raw API access.

MCP for Azure DevOps Boards is a MCP server that lets your favourite AI browse, query and update Azure DevOps work items as if it were a project manager. Written in Rust and optimized for tokens usagem, It runs via stdio or HTTP mode and uses standard Azure authentication with az login.

Enables AI-powered project management by connecting Claude to Planka kanban boards via 75+ MCP tools for creating, updating, and managing projects, boards, lists, and cards.

Serves sigit.si account, repository, issue, pull request, code-search, session, hook, and billing operations to AI agents over stdio, reusing the token stored by the CLI login and defaulting repository tools to the checkout the agent is pointed at. Tool lists can be trimmed with read-only mode or toolset selection, and a hosted HTTP endpoint offers the same tools.

Enables Codex to read a project's kickoff card, acceptance criteria, AGENTS rules, handoff package, progress, Git trail, and next step, and to append validated, audited, idempotent progress events backed by a matching project-record Git commit. Access is scoped to one workspace and project via short-lived, revocable, hash-stored credentials that cannot reach members, keys, deletion, publication, or deployment.

Enables MCP clients to read a project's Git-backed kickoff, acceptance criteria, handoff package, progress, and next step, and to append validated, audited progress events as project records. It provides short-lived scoped credentials and fail-closed tool allowlisting for safe, resumable AI-assisted development.

Enables voice-driven task management by letting users view, select, complete, and reschedule tasks through natural-language commands and a native confirmation card with date parsing and batch handling.

Enables Codex projects to read Git-backed context, acceptance criteria, progress, and handoff packages, and to append validated, audited progress events with matching project-record commits.

Enables agents to retrieve project context and append validated, audited progress events through scoped MCP tools, keeping project records Git-backed and handoffs resumable.