"A server for maps" 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.

Goal and process maps for humans and AI agents on your own server: agents create and update nodes, manage tasks and automation rules and read the org structure, while people watch the same map live. Connects to your self-hosted killBottleneck instance.

Project Memory stores decisions, evidence, outcomes and reviewed lessons in local SQLite. Assistants retrieve bounded context through three MCP tools. People follow and plan work in a live workspace with an overview, sprint board, decision history, readable documents, skills and project maps. Offline exports remain available.

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 agents to read and write a user's nested mind maps and TODO items in Matryoshka Mind Map through natural-language conversation, including listing maps, adding elements, checking tasks, and importing Markdown.

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.

Intent-based project documentation server that automatically maps natural language queries to the right sources (plans, todos, roadmap, docs) and provides comprehensive task management with dependency tracking, backlog promotion, and archival workflows.

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.

Enables AI agents to create and manage Convyy boards, including diagrams, kanban boards, journey maps, and more, through MCP tools like convyy_run_prompt.

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.

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.

Enables any MCP-capable coding agent to gate code writing behind user-approved design checkpoints, asking for the user's own approach first and recording decisions, project maps, and progress in a local .vibe-wise/ folder. Code is only written once the user explicitly confirms an implementation checkpoint, with no account, backend, or telemetry required.

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.

MCP server enabling AI assistants to connect to Kula recruiting API for managing jobs, candidates, applications, webhooks, and more.