"Organic Maps" matching MCP servers:

A Model Context Protocol (MCP) server for Google Maps — routing, place discovery, and commute comparison over stdio.

Enables AI tools to open the macOS Maps app and search for places or addresses through a single MCP tool, without requiring a Maps API key.

Enables AI agents to set up and use a private local Minecraft test server, build and validate maps block by block, and export creations as schematics for any server.

Enables AI assistants to search places, retrieve place details, reviews, photos, business posts, and contributor review histories from Google Maps through natural language, with no API keys or paid billing required.

Enables fetching comprehensive Google Maps place data, including full metadata and all gallery photos/videos at maximum resolution.

Enables AI assistants to perform IP geolocation and nearby place searches using the Amap (Gaode Maps) API in China.

Local macOS MCP servers for Mail, Calendar, Reminders, Notes, Contacts, Messages, Shortcuts, Files, Maps, and system tools. The unified Apple Tools server and individual app servers run over stdio with native macOS permissions; this is an MIT-licensed community project, unaffiliated with Apple.

An MCP server for inspecting and editing StarCraft II maps and mods directly, enabling file-level manipulation of map components, triggers, scripts, and more without the Galaxy Editor UI.

Enables fetching Google Maps reviews and place info without authentication by using a mobile user-agent with Playwright.

Enables validation, saving, publishing, and inspection of Galaxy Maps courses from local JSON files via Firebase integration.

Exposes semiconductor wafer analysis tools including wafer maps, P-charts, and statistical plots, enabling AI assistants to visualize and analyze wafer test data.

MCP server for organic Instagram analytics via the Meta Graph API, providing read-only tools for profiles, media, insights, audience, and optional publishing.

Enables visualizing GeoJSON data on an interactive map directly in Claude Desktop, allowing users to request maps of information found or generated.

Enables AI assistants to search and scrape Google Maps places data (name, rating, address, etc.) directly without an API key.

Enables AI agents to analyze public Reels, TikTok, and YouTube Shorts by extracting timestamped transcripts, visual understanding, and searchable video maps, then query specific moments via MCP tools.

Official Codna MCP server with Mojo-powered risk simulation. Maps repos with zero LLM tokens. 5 stdio tools: triage, root-cause analysis and fix plans (optional PRs), SARIF reachability proof, on-device code memory and bug reporting. Introspection needs no credentials; execution requires a one-time free codna login. Source: cli/codna/mcp_server.py. Registry: io.github.thyn-ai/codna.

Enables turning data into map images of countries, states, provinces, counties, continents, and the world, including choropleths, category maps, and pinned locations.

PCI DSS v4.0.1 compliance scanner for Go payment services, delivered as an MCP server. Every finding maps to a specific PCI DSS requirement ID. Taint-aware cardholder data flow analysis with PCI SSC FAQ semantics, designed to complement broad SAST tools like Semgrep and CodeQL - not replace them.

Provides a structured map of 120 practical AI prompts across 6 business domains, enabling users to quickly generate complete prompts for specific tasks using slash commands or tools.

Gives coding agents read-only tools that return, in one call, a declaration's callers traced up to entry points or its callees down to 8 levels, plus a map of directories, files, declarations and every usage of a symbol. Maps TypeScript, JavaScript, Go, Python and Java using each language's own compiler, so a change's impact can be traced across imports, methods, interfaces and decorators.

Lets AI agents create and drive Claude Code cloud sessions natively over stdio, exposing typed tools to start a session from a task description, queue follow-up messages into an existing session, and check the CLI's sign-in state. Each tool maps to a fixed Claude Code CLI invocation with strict schemas and structured JSON results, so agents never write shell commands or run local sessions.

On-demand micro-mutation sandbox for AI test verification that maps weaknesses in unit tests by running isolated mutation testing via the Model Context Protocol.

A local Git intelligence MCP server that provides deep repository analytics including hotspots, temporal coupling, knowledge maps, churn analysis, and risk scoring for AI agents.

Enables Claude and Claude Code to scan local repositories, generate interactive architecture maps, and trace transitive callers to assess change impact.

Deterministic navigation maps over code AND markdown for AI agents: one MCP server, two lenses (tree-sitter TS/JS/Python + markdown). Map a whole project, read one function or one doc-section, ~99% less context. Merges codelens + docslens.

An MCP server that maps any repository into architecture diagrams, providing tools for scanning code facts, building import graphs, and generating Mermaid/DOT diagrams, plus architecture rule enforcement for CI.

Provides role-aware repository maps for LLM agents by analyzing codebases and ranking files within a token budget.

MCP server that surfaces cited official Japanese government data on Nankai Trough earthquake hazards, building safety standards, and routes users to official hazard maps without inventing numbers.

A local Git intelligence MCP server that provides deep repository analytics including hotspots, churn, knowledge maps, and risk scoring, all computed from commit history without data leaving your machine.

Turns plain text or Markdown, web pages, and local PDFs into editable Markdown outlines that can be rendered as standalone, offline-capable interactive HTML mind maps. Works with any MCP client with no API key required, since the connected model writes the final outline from a draft and cleaned source text.

Extracts deterministic architecture maps from codebases for AI agents, enabling queries about blast radius, routes, security findings, and production readiness without sending code anywhere.

Enables read-only querying of a local repository through a deterministic tree-sitter symbol and edge graph, exposing keyword search with exact file:line hits, regex text search, per-file symbol skeletons, caller/callee traversal, and directory-level maps of clusters, hubs, and hotspots over stdio.

Converts Markdown files into professional diagrams such as flowcharts, mind maps, and architecture diagrams using Mermaid.js and custom SVG renderers. It enables users to list, render, and export visualizations in multiple formats including SVG, PNG, and PDF.

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.

Enables MCP clients to search verified Japanese corporate records — EDINET XBRL financials, 13-digit corporate numbers, major shareholders, and gBizINFO certifications — locally through a single knowledge-search tool with keyword, fuzzy, semantic, or hybrid retrieval. It also maps J-GAAP, US GAAP, and IFRS concepts so filings can be read in English without mistranslating terms like 営業利益 and 経常利益.

Enables AI agents to interact with the Linux desktop through desktop notifications, interactive dialogs, shell command execution, and privileged command execution.

Enables AI assistants to draw and modify designs directly on the Figma Desktop canvas via JavaScript and read existing designs back as structured data, CSS, component maps, and screenshots. It runs locally over a bridge without requiring a Figma API key.

MCP server for MindNode that lets AI agents read mind maps as Markdown outlines and view rendered previews. It also supports creating new mind maps from outlines and opening maps in the app.

Automates PCB design from idea to fabrication: sources JLCPCB parts, fetches pin maps from EasyEDA, places and wires footprints in KiCad, and hands off to EasyEDA for auto-routing and ordering — all via Claude Code.

Enables AI agents to read and modify a running Freeplane mind map live via gRPC, with support for importing and exporting maps as JSON.