"A server for orchestrating intelligent agents to solve spatial reasoning tasks in 3D environments" matching MCP servers:

Turns a single image of an object into a textured 3D model (GLB with web-ready copy and six-view previews) on your own NVIDIA GPU, returning the written files and a preview. Runs locally as an MCP tool or, optionally, offloads the job to hosted GPUs with an API key.

MCP server that silently monitors state changes in structured data sources (e.g., government open data) and provides a pull-based channel for AI agents to retrieve real mutations since their last cursor.

Enables converting a public release-note URL into ordered upgrade tasks with source excerpts, anchors, confidence, and uncertainty, without executing release text or project code.

Enables administrators to manage a Living Atlases Spatial Portal through an AI assistant using plain language, including adding and checking layers, fixing metadata, watching background tasks, managing areas, and running analyses. Changes are previewed and require explicit confirmation, and it only does what the admin UI could do.

Enables AI agents to control a Playwright-driven browser through natural-language instructions, including page interaction and live browser task execution.

Enables any MCP-compatible AI assistant to search, filter, and retrieve information from a local document collection using a hybrid search pipeline with vector, BM25, reranking, and LLM enrichment.

Enables AI agents to perform local video, audio, and file operations inside an isolated workspace, including cutting/concat videos, extracting audio, transcribing, and managing files, with typed responses and background job support.

Enables AI agents to search, watch, summarize, clip, and extract transcripts from YouTube videos, all without needing an API key or leaving the chat.

Enables any MCP-capable client to search Hong Kong's 1,154 official CSDI spatial datasets in English, Traditional or Simplified Chinese, retrieve them as GeoJSON, and answer questions with counts, sums and charts, interactive 2D/3D maps, feature attribute inspection, or printable static maps without an API key. Optional tools let users geocode, project or buffer geometry, render keyless Esri basemaps, and publish datasets to ArcGIS Online with their own credentials.

Provides computational tools for systematic reasoning, including boolean evaluation, date arithmetic, object counting, state tracking, and format validation, to enhance agent capabilities and eliminate calculation errors in reasoning tasks.

A persistent semantic memory system for LLMs with time-based decay, automatic memory capture, and spatial navigation tools for exploring knowledge graphs.

Enables ordinary LLMs to be augmented fully offline — with no API keys or external services — through model-aware guardrails, exemplar retrieval, structured self-critique, compliance scoring, and an allowlisted verification runner. Also provides hybrid knowledge-base search, decaying long-term memory, and persistent plan/task management across 54 MCP tools usable from any MCP client such as OpenCode, Claude Desktop, Cursor, or VS Code.

A universal Model Context Protocol implementation that serves as a semantic layer between LLMs and 3D creative software, providing a standardized interface for interacting with various Digital Content Creation tools through a unified API.

Enables coding agents to visually inspect and diagnose 3D files (meshes and Gaussian splats) for defects like flipped normals or floaters, without GPU dependencies.

A standalone stdio MCP server that exposes 13 resources, 3 prompts and 7 tools for assembling interactive, replayable HTML interfaces such as calculators, charts, maps, flowcharts and small apps. It returns the generated HTML document for the calling client to decide whether and how to display.

An MCP server that gives AI agents genuine 3D spatial understanding of Autodesk Fusion 360, enabling exact measurements, collision analysis, and free-space placement search, plus Fusion-native parametric authoring for clean, human-editable models.

This MCP server wraps the SOLVE-IT digital forensics knowledge base, enabling LLMs to query techniques, weaknesses, mitigations, and their relationships through a set of MCP tools.

MCP server for AI agents -- fetch any URL with full JavaScript rendering (Playwright/Chromium) and convert to clean, token-efficient markdown. Works on React, Vue, Angular, and any JS-heavy page. Includes web search, batch fetching, binary file download, LRU cache, SSRF protection, and structured output.

Enables AI agents to manage multiple 3D printers via MCP, including monitoring temperatures and progress, uploading and slicing models, controlling prints, and viewing cameras.

MCP server that gives AI agents access to current web information through web_search and fetch_url tools, using Tavily, Brave, and DuckDuckGo providers with automatic fallback.

An Iceberg-native geospatial MCP server powered by DuckDB that provides tools for spatial SQL queries, catalog discovery, and data management. It enables LLM agents to interact with Apache Iceberg lakehouses to perform complex spatial analysis, joins, and aggregations.

MCP server that parses source code into a graph of symbols and relationships, enabling code structure visualization and blast radius analysis via interactive 3D force-graph.

Adds a deep_reasoning tool that consults stronger reasoning models (e.g., DeepSeek R1) to produce full reasoning traces for complex problems, helping the agent shape and cross-check its answers.

An MCP server that gives AI agents geometric spatial awareness of web page layouts using Playwright, enabling detection of visual occlusion, layout shifts, and spatial relationships.

Enables robotics and spatial AI agents to align 3D point clouds with ICP, bake and validate Recast navigation meshes, solve 6-DOF robot arm inverse kinematics, segment ground from LIDAR scans, and compute camera projection matrices. Each capability is exposed as a paid tool settled via x402 USDC micropayments on Base L2.

An MCP server that exposes outputty's task tracker as typed tools backed by GitHub Issues, allowing coding agents to manage tasks with two-way sync.

Gives headless CAD agents a deterministic, dependency-free STL audit that checks manifoldness, plate grounding, single-shell structure, wall thickness, and normal orientation, returning a printable verdict with a critic score. Enables agents to gate and iteratively repair generated meshes before slicing or printing.

Enables AI assistants to manage Notion tasks, projects, and courses through MCP, allowing creation, retrieval, and filtering of tasks.

Enables AI agents to query real-time spatial perception from DePIN edge-vision nodes, retrieving structured JSON about detected objects, bounding boxes, confidence scores, environmental state, and geolocation through the Model Context Protocol.

Agent Toolkit for Mercado Pago