"RISC-V" matching MCP servers:

Enables coding agents to query the dependency graph of a GitHub backlog, retrieve ordered ready work and prerequisite chains, atomically claim issues, and report blockers—so agents work in the correct order and safely in parallel.

Enables persistent, auditable business operations state by storing knowledge, evidence, decisions, tasks, execution receipts, and review results in a local SQLite database, so different sessions can continue the same project.

MCP server that exposes the V-Track project management API as tools for AI assistants, enabling interaction with projects, tasks, issues, sprints, and more.

An MCP server for interacting with the Backlog API, enabling AI agents to manage projects, issues, wikis, and more, with support for restricting access to a subset of Backlog projects.

A federated MCP server that combines IBM's engineering-ai-hub tools with its own authoring and orchestration tools for IBM ELM, enabling AI hosts to manage requirements, models, and compliance through a single interface.

Enables AI agents to manage tasks through a structured lifecycle (todo, in_progress, ai_testing, manual_testing, deployment, completed) with human approval gates, providing a single-user task management system with CLI, REST API, and live updates.

Automates generation of Work Breakdown Structure (WBS) diagrams and project documents. Supports Mermaid, PNG, and .docx export for project MINTRANET.

Exposes task-management tools over the Model Context Protocol, letting any MCP client discover and call operations to add, list, and complete tasks persisted to a local JSON file. It serves as the plug layer for a separate task kitchen module, with permissions enforced in the client.

Comprehensive quest orchestration system with KĀDI broker integration, multi-channel approval workflow, and Git-backed data storage.

Provides MCP access to an internal performance and consulting project collaboration system, enabling management of projects, stages, tasks, materials, evidence, approvals, and experience in a traceable chain, with Feishu for organization sync and collaboration.

Enables query and management of Zentao bugs, tasks, projects, and iterations directly from MCP-compatible IDEs like Cursor or Claude Desktop.

Exposes read-only tools that list projects and return a project's status, latest build, and unresolved issues as facts drawn from local sample JSON data. This gives a connected agent the raw evidence it needs to decide release readiness, without the server itself making any judgment.

Enables AI assistants to manage task lists, tasks, subtasks, due dates, notes, and completion through the Google Tasks API, including reversible completion and syncing changes.

Session-based development workflow MCP server for Claude Code that structures tasks into sessions with plans, progress tracking, and archiving for context resumption.

Persistent memory and task board for Claude Code. 14 tools spanning projects, tasks, sessions, and activity logs — backed by Firestore, runs on the free tier. Handoff notes survive context compaction; the next session reads the last handoff and picks up where you stopped.

Enables AI assistants to read and write to OmniFocus database, allowing natural language task management, project creation, and GTD workflows.

A clean, reliable MCP (Model Context Protocol) server for Todoist — built on the Todoist unified API v1.

MCP server for TickTick using the official OAuth 2.0 API. Create, list, update, complete, and delete tasks just by talking to Claude.

Enables assistants to read and analyze construction schedules like a scheduler: CPM, float, critical paths, DCMA 14-point, logic checks, update-to-update comparison, baseline variance, and S-curves from P6 XER and MS Project files.

Enables AI assistants to manage a todo list with add, list, complete, and delete tasks.