"Dota 2" matching MCP servers:

Connects AI assistants to the Basecamp 2 API, enabling management of projects, todos, messages, and people directly through natural language.

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.

MCP server for parsing, querying, and analyzing Primavera P6 XER files with 13 tools, 3 resources, and 2 prompts.

Enables Claude Code to control a Planka 2.x board via 15 MCP tools, with writes re-read and verified so reported success matches the board, plus an optional workflow that turns the board into durable agent memory.

MCP server for Planfix API enabling task, project, contact, and comment management with 10 tools and 2 skills.

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.

Enables ISO 19650 and UK BIM Level 2 compliance for construction projects, validating EIR, BEP, MIDP, TIDP, and CDE structures.

An MCP server that wraps the Basecamp 2 REST API, enabling Claude to create and manage todos, projects, and people through natural language.

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.

Enables LLMs to interact with KIMAI 2 time tracking for managing timesheets, projects, activities, customers, and generating reports.

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

A Model Context Protocol (MCP) server that connects AI assistants to Jira Server/Data Center, enabling issue management, JQL search, sprint tracking, and natural language interaction with Jira.

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.

Relays job-setup and todo actions from Claude to the Dot Hub, enabling job creation and todo management via Streamable HTTP.

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.