"A resource for finding 3D models" matching MCP servers:

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.

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.

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 creating Jira issues and listing issue types for a Jira Cloud project using Basic Auth credentials.

A deterministic MCP server that reimplements ai-git-fish workflows (aicommit, aibranch, aipr) with Leantime integration, enabling Claude Code and Codex to perform git operations and manage tickets without an internal LLM.

Enables policy-aware access to the Productive.io API v2 for managing projects, tasks, time tracking, resource planning, financials, CRM, and reports, with safe defaults and staged writes for sensitive operations.

Read-only MCP server for ProjectLibre .pod files that enables finding project files, summarizing Gantt charts, inspecting tasks, and analyzing schedules without opening ProjectLibre.

Exposes a Notion-synced AI OS as read-only MCP tools, enabling MCP-compatible AI clients to search the vault, fetch page contents, list projects, and check project statuses without scraping public links.

A shared coordination layer for multiple AI coding assistants, exposing a persistent task queue, per-task message threads, and progress tracking via JSON files on disk.

Enables AI assistants to query freispace scheduling software data including staff management, project analytics, resource availability, and holiday planning. Provides comprehensive insights for media teams while respecting user permissions and data safety.

MCP server for DCI API enabling AI models to extract and analyze DCI jobs, components, and topics, with integrations for Google Drive, Jira, GitHub, and Red Hat support cases.

Enables AI agents to read-only inspect an OmniFocus database, retrieving exact tasks and projects, Inbox roots, complete project hierarchies, tags, dates, notes and workload or review overviews. All access is read-only and bounded, with no mutation, write tools or sync triggers.

Connects Claude to Jobber to manage clients, jobs, invoices, quotes, and scheduling through natural language.

Enables multiple AI agents and humans working in the same project to share status, exchange messages, and claim files through a local collaboration board. It supports project-specific enablement, conflict-aware file claims, and shared state via SQLite.

MCP server for AL Object ID management in Microsoft Dynamics 365 Business Central development. It provides intelligent object ID allocation, collision prevention, and team collaboration features.

Persistent code finding, requirements, and release tracker for AI assistants. Enables durable memory for code review findings, requirements, dependency blockers, parallel-agent coordination, and release milestones with minimal token overhead.

Enables employees, approvers, and admins to register and manage time, view balances, cases, employees, and planning through Visma Intempus, with per-user scoping and fail-closed identity.

An MCP server that integrates Harvest time tracking and Forecast resource scheduling APIs, enabling AI agents to track time, manage projects, and handle assignments and scheduling.

MCP server for managing tasks with a resource to read all tasks, a tool to add tasks, and a prompt to analyze tasks, using stdio transport.

A local-first MCP server that handles daily work tasks through your AI assistant: converts meeting notes into todos, manages todo lifecycle, tracks work hours, generates daily/weekly reports, organizes files via move-only operations, and diagnoses dev environments, all guarded by a human-maintained preview/apply safety model.