"Organic Maps" matching MCP servers:

Enables local AI models to structure and reason through debates using argument maps, with claims and supporting/attacking arguments automatically validated and organized.

MCP server that lets agents create and update persistent concept maps via the NodeLand API, returning shareable URLs for humans to view, embed, and keep editing.

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.

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

An MCP server that provides offline access to ZIM file archives, including Wikipedia, medical knowledge, and maps. It dynamically exposes tools like search, article retrieval, and driving route planning based on available ZIM files.

Enables AI agents to build and interact with mind maps on mindmap.io. Agents can create, read, update, and delete maps and nodes, run prompts on nodes, and auto-expand topics into follow-up questions.

A cross-project knowledge graph for MCP that maps features across mobile, backend, and admin codebases, giving AI agents full-stack context.

AI reads your codebase like a book - one page at a time. Pharaoh gives it the index and a map of how every chapter connects.

A scientific experiment log MCP server for AI agents that stores predictions, causal claims, and verdicts, enabling queryable causal maps and calibration of intuition over diagnostics.

A Model Context Protocol server that enables LLMs to interact with MindManager mind maps, allowing retrieval of mind map structures and export to formats like Mermaid, Markdown, and JSON.

Local-first MCP tools for AI-assisted work receipts, workspace maps, routing ledgers, measured verdicts, and shared state verification across the five Project Telos flagships.

A TypeScript Model Context Protocol (MCP) server to allow LLMs to programmatically construct mind maps to explore an idea space, with enforced "metacognitive" self-reflection.

Bridges stdio-only MCP clients to the Mind Elixir Desktop app, enabling AI assistants to create, inspect, edit, and annotate mind maps in real time.

A provenance-aware decision ledger that maps meeting transcripts and PRDs to code symbols to track implementation and drift. It enables developers to maintain institutional memory by linking historical context and architectural decisions directly to the evolving codebase.

Maps educational standards across 310 curriculum systems in 50+ countries, enabling cross-border curriculum alignment through Claude.

Provides durable project context for coding agents, including project maps, session history, and explicit memories, all stored locally.

Enables AI agents to explore and extend a local-first, SQLite-backed visual knowledge graph through 12 tools for listing maps, searching and reading nodes, and creating, updating, or linking nodes and edges. Every AI-written node carries provenance and is checked against near-duplicate titles, so agent-added ideas appear in a shared graph that people also edit by hand.

Maps Salesforce metadata into a Neo4j graph database, enabling AI agents to reason about schema and generate accurate SOQL queries.

A thin MCP server that securely enables AI agents to interact with Home Assistant, Mealie, and Nirvana via tools for automation, recipe management, and task tracking, while keeping credentials hidden.

Enables a small local LLM to build and maintain a project map by offloading event ID/date generation, batching, synchronization, recovery, and finalization to the server, so the model only decides what to read and how to classify.

A modular server that implements the Model Context Protocol standard, providing tools for interacting with GitHub, GitLab, Google Maps, Memory storage, and web automation through a unified gateway.

MCP server that provides a navigable map of an Obsidian vault for coding agents, with tools to outline notes, fetch sections, query frontmatter, and grep content, reducing token usage compared to reading whole notes.

Enables AI agents to search and traverse the 2022 revised Korean elementary curriculum across 11 subjects, 620 achievement standards, and 2,293 prerequisite relationships. It also supports reverse diagnosis of foundational learning gaps and generates personalized remedial learning roadmaps.

A local-first MCP server that analyzes research papers, maps citation graphs, and surfaces insights with verbatim-verified contradictions, all while keeping data private on your machine.

Provides Claude with persistent, semantic knowledge of a codebase across sessions by maintaining a local knowledge base of structural maps, compressed file summaries, and insights.

Enables AI agents to build and manage local-first graph maps of .onion links and Markdown posts, including nodes, documents with images, connections, search, autolayout, and import/export through 32 tools.

A project state control plane for multiple AI agent sessions to share structured conclusions such as tasks, checkpoints, code maps, decisions, and handoffs. It enables agents to read and write persistent project state via MCP tools while humans track progress through a lightweight panel.

Official MCP server for creating, reading, and updating mind maps on coret.id from AI agents. Changes appear live in the Coret editor.

Enables users to visualize and interact with Claude's chain-of-thought reasoning from extended thinking traces, turning them into interactive reasoning maps with typed moves, dependency graphs, timelines, and replay mode.

Serves prebuilt schema maps to AI agents over MCP, enabling table search, table descriptions, ranked join paths, key lookups, and business-context retrieval so text-to-SQL agents can write accurate queries without exploring the production database.

Turns any source material into a guided learning experience with learning maps, notes, four-phase study loop, spaced repetition flashcards, and grounded Q\&A.

Maps any niche domain into a structured talent and ecosystem landscape using the CoER method. Enables MCP clients to read landscapes and contribute new ones via PRs.

Enables rigorous, zero-hallucination analysis of local PDF papers, generating editable domain maps, mindmaps, research gaps, and future directions with strict citation requirements.

A local MCP server that combines a browser mind map UI with a Streamable HTTP MCP endpoint, letting AI agents create, edit, and manage mind maps in real time through tools like mindmap_apply_op.

Enables AI assistants to read and write XMind mind map files, allowing generation, editing, and analysis of mind maps directly in XMind.

Generates structured project memory and exposes MCP tools for AI coding agents to query topology, read relevant files, and log changes in a repository.

An MCP server that reduces AI coding agent token usage by 80-99% through a queryable knowledge graph of code, change tracking, and persistent memory across sessions.

Enables AI agents to build and update flowcharts, workflow maps, project plans, and research maps in a shared self-hosted workspace, with notes, sources, revision history, conflict detection, and JSON import/export.

Turn Claude Desktop conversations into visual mind maps via MCP. Highlights blockers to surface where you're stuck.

A lightweight MCP server that maps keywords to file paths instantly using a JSON index, enabling fast context retrieval for AI agents without embeddings or vector databases.