"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.

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.

Enables running second-price Vickrey auctions that match consumer query intent with brand bids while preserving organic recommendation neutrality. It integrates as a zero-dependency MCP server for agentic commerce and privacy-preserving ad monetization workflows.

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 agents to run second-price Vickrey auctions that match consumer query intent against brand bids while keeping organic recommendations neutral. It also provides privacy-preserving ad monetization routing as a zero-dependency MCP server or importable Python module.

Provides an MCP server that lets AI agents inspect and control an Android phone over Wi-Fi or USB, including screenshot element maps, OCR, taps, typing, scrolling, app launching, notifications, clipboard, and device settings/controls.

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.

Enables harnesses to explore and navigate GUI applications, maintain persistent app maps, verify actions, cancel operations, and use pluggable device adapters over MCP.

This MCP server enables agents to handle real-time out-of-stock grocery items by scoring candidate replacements against dietary constraints (vegan, gluten-free, organic), unit price delta ceilings, and brand affinity. It returns a deterministic substitution verdict with the chosen replacement, so carts can be repaired automatically without human intervention.

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

Enables autonomous tracking of household food consumption and expiration, applying dietary filters such as organic, gluten-free, and low-sugar to generate optimized grocery replenishment baskets within a specified budget.

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.

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.

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.

Enables AI agents to inspect and safely control ROS 2 topics, nodes, parameters, PID loops, LiDAR maps, trajectories, and robot fleets through guarded tools, plus a real-time dashboard with emergency-stop controls.

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 clients to submit an execution-trace case and receive a structured, read-only conditional compensation plan that models ambiguous outcomes, requires observations, and replays each branch without executing external actions.

Enables AI agents to claim, heartbeat, submit, split, park, and resume atomic work-queue tasks, with fencing tokens and receipts, while storing and versioning records and content-addressed files through MCP.

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

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.

Enables AI assistants to operate laboratory instruments through natural language, with safety limits, read-only modes, audit trails, and simulators for practice.

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.

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.

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.

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.

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.

Converts a live ROS 2 occupancy map into shareable images (PNG/JPEG/base64) and provides tools for map metadata, coordinate conversion, corner goal finding, and Nav2 navigation commands.

CodeMap is a Roslyn-powered MCP server that lets AI agents navigate C# codebases by symbol, call graph, and architectural fact, instead of brute-force reading thousands of lines of source code. One tool call. Precise answer. No context flood.