"A query for finding maps or mapping tools" matching MCP servers:

Enables AI agents to query OpenRouter model information including prices, ELO rankings, context, and perform comparisons.

MCP server that provides a live, terminal-native layered dependency map for AI coding assistants, with tools to track and visualize development progress in real time.

Exposes eight mmap_* tools that let an agent declare a system's ghost dependency design first, then light each node up as it is built and verified, with downward-only edges and evidence-backed green status. Clients get a live ledger of what exists, what is in progress right now, and which foundation has cracked.

Enables MCP clients such as Claude Code, ChatGPT desktop Codex mode and Codex CLI to declare and maintain a live, terminal-native layered dependency map of a system as it is built. Exposes tools that lay down a ghost design first, mark the node currently under construction, and light nodes solid only when they are built and verified.

Enables coding agents to declare an entire system design up front as ghost nodes, then light each node up as it is built and test-verified, exposing a live layered dependency graph in a terminal pane beside the conversation. Structural corruption such as upward-pointing edges is refused, while progress and broken foundations stay visible through eight mmap_* tools.

Exposes eight mmap_* tools that let a coding agent declare a whole layered dependency design as ghost nodes, then light nodes through building and verification while a live terminal pane shows the map. The server also tracks status such as in-progress spinners, verified-green nodes, and red cracked foundations.

Lets an AI coding agent declare a system's layered dependency graph up front as ghost nodes, then light each node up as code is built and verified, with a live terminal pane showing spinners on active work and red on cracked foundations. It exposes eight mmap_* tools so structural rules — downward-only edges and unique ranks — are enforced as the design ledger.

Enables an AI coding agent to declare a layered dependency structure as ghost nodes and then turn those nodes solid as they are built and verified, keeping the design, current attention, and any cracked foundations visible in a live terminal pane.

Enables an AI coding agent to publish a live, layered dependency map of a system under construction: it ghosts the intended structure first, then lights nodes up as they are built and verified. A terminal pane beside the conversation keeps that map visible, showing what is being worked on now and flagging when later changes crack a foundation beneath it.

Publishes eight tools that let an AI coding agent declare an entire layered dependency design as ghost nodes before writing code, then light each node up as it is built and verified—with a spinner on the current node and reddening when later work cracks a foundation. This gives developers a live, terminal-side view of bottom-up progress where upward edges and duplicate ranks are refused, so a bad design can be vetoed while it is still only a picture.

Enables coding agents to declare a layered dependency map as ghost nodes and then light nodes up as they are built and verified, with a live terminal pane and eight tools for tracking structure during bottom-up development. It keeps edges pointing downward, shows what is being worked on with a spinner, and marks cracked foundations red.

Enables coding agents to publish a layered dependency map of a system as ghost nodes, then light each node up as it is built and verified, with cracks and faults propagating visibly to upper layers. It exposes tools for declaring ranks, edges and evidence so a terminal pane beside the session always shows current structure and progress.

Gives an AI coding agent tools to declare and maintain a live, layered dependency map in a terminal pane beside the conversation: ghost nodes for the intended design, a spinner on what is being built, and solid green only for what is built and verified. Structural rules keep dependency edges pointing downward and make cracks in a foundation visible as red nodes.

Enables an MCP client to declare a layering-first design as ghost nodes and then track it as code lands: nodes show a spinner while under construction and turn solid green only once verified, with dependency edges constrained to point downward. Cracks in a foundation propagate upward so broken prerequisites become visible instead of silently blocked.

Exposes eight mmap_* tools that let an MCP client declare a layered dependency design as ghost nodes, then light each node up as it is built and verified, so progress is visible as a live map in a terminal pane. Edges may only point downward, and a node turns solid green only with evidence, turning red if later work cracks a foundation.

Semantic React/TSX analysis MCP server that saves 70-90% tokens by using AST to retrieve precise component usages, prop flow, and state update information for AI coding assistants.

An MCP server for Dart AI task management that enables bulk operations using DartQL selectors to minimize token usage and context rot. It provides tools for batch updates, task and document CRUD, and safe CSV imports with integrated dry-run capabilities.

Exposes an Oracle database to MCP clients over stdio, offering 75 tools to query, modify, inspect, and triage the database with zero-install thin mode requiring no Oracle Client. Every statement is recorded in a Markdown audit log.

Token-efficient Figma MCP server with image export, query DSL, and design token support.

MCP server for running read-only SQL queries across MySQL and PostgreSQL databases with safety guardrails, credentials stored outside source, and support for multiple databases.