"Organic Maps" matching MCP servers:

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.

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.

Lets Codex inspect a live macOS AppKit interface through a debug-only bridge, without Accessibility or Screen Recording permissions, and maps clicks to NSViews with hierarchy and geometry details.

A modular, scalable server designed to enhance sequential thinking processes with performance monitoring and multi-language support.

Maps AI agent behavior to regulatory obligations across EU AI Act, Singapore IMDA Agentic AI Framework, and Colorado AI Act. Checks compliance status and generates regulatory reports.

An advanced MCP server that implements sophisticated sequential thinking using a coordinated team of specialized AI agents (Planner, Researcher, Analyzer, Critic, Synthesizer) to deeply analyze problems and provide high-quality, structured reasoning.

A host-agnostic model council that routes tasks across multiple AI workers (MCP, CLI, API) and returns one unified answer.

Memory for AI agents that can't hallucinate — answers only from stored facts with a citation, or honestly abstains. Provable forgetting (GDPR), valid-time, Merkle proofs, deterministic. MCP server, CPU-only, zero dependencies.

MCP server for AI agents selling into APAC. 7 tools: country briefs (Japan/Singapore/Korea/India/Australia/Hong Kong/Indonesia), outreach templates, etiquette guides, follow-up cadences, stakeholder maps. PDPA/APP/APPI-aware.

A nested MCP system that demonstrates server composition by using an orchestrator to manage an internal vector store for semantic search. It enables complex, multi-hop retrieval and reasoning over a knowledge base through an agentic reasoning loop.

Enables complete RPG Maker MZ game development through MCP tools, including autonomous game creation from concepts, AI-generated assets using Gemini 2.5 Flash, and programmatic control over maps, events, characters, and databases. Supports full game creation workflow from a single command with automatic story, asset, and implementation generation.

Enables AI agents to request human approvals with customizable forms, webhooks, and team features.

An auditable memory, lifecycle, and governance server for AI agents, providing durable memories with provenance, lifecycle management, and guarded workflows through the Model Context Protocol.

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.

Serves a loopback-only MCP endpoint that lets a same-machine client start, steer, and cancel DSH Sessions it knows by id, list their durable subagent trees, deliver messages to continuable children, and read durable event logs with paging and chunked oversized-event recovery. It maps every call onto native Session Controller and subagent services without owning task state, starting a second listener, or registering model-facing tools.

Enables AI-powered resume scoring and feedback through secure Google OAuth authentication. Provides FastAPI endpoints for resume evaluation with plans for leaderboard visualization and competitive scoring features.

Convene a panel of expert AI personas to debate any topic, idea, or decision from every side. Runs the debate, cites live web sources, maps where the experts disagree, and returns a synthesized briefing.

A Model Context Protocol server that supports remote connections and authenticates users via GitHub OAuth, allowing them to access tools based on their GitHub identity.

Enables automated GitHub pull request review through a multi-agent system using LangGraph and MCP tools, analyzing PR metadata, files, patches, comments, and policies with RAG, guardrails, HITL approval, and Langfuse observability.