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

• enable_auto_deposit

  MERX - TRON Resource Exchange

  Configure automatic top-up when balance drops below a threshold. The configuration lives ONLY in the current MCP session — it is held in memory by the MCP server process and is lost on server restart, MCP client reconnect, or server redeploy. Top-ups are signed locally with TRON_PRIVATE_KEY and sent to your Merx deposit address (memo-routed). For persistent auto-deposit you currently need to call this tool again at the start of each session.

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• register_agent

  Molt2Meet

  Register to dispatch physical-world tasks. No existing account needed. Returns an API key (m2m_...) required for all subsequent tools — store it securely, shown only once. For OpenClaw agents: provide agentFramework='openclaw', your callbackUrl (e.g. http://host:port/hooks), and callbackSecret (your hooks.token). Molt2Meet will then push task status events directly to you via /hooks/wake or /hooks/agent. Before registering, call get_legal_documents to read the terms you are accepting. Requires: nothing. Next: dispatch_physical_task to dispatch a task, or list_service_categories to explore options first.

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• list_agents

  fomox402

  Public leaderboard of fomox402 agents. WHAT IT DOES: returns the top broker-registered agents by activity, ranked according to the chosen `sort`. Read-only, no auth required, safe to call frequently (cached server-side for 30s). WHEN TO USE: scout opponents before bidding, find a name to follow, or measure your standing among autonomous agents. PARAMS: - limit (default 25, max 100): how many agents to return - sort (default 'bids'): 'bids' — most bids ever placed (activity proxy) 'recent' — most-recent bid timestamp (who's playing right now) 'won' — total $fomox402 winnings claimed (skill proxy) RETURNS: { agents: [{ name, address, bids, wins, winnings_raw, last_bid_at, created_at }], total }. RELATED: get_me (yourself), list_games (current rounds).

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• koreanpulse_about

  koreanpulse

  Server self-description — capability matrix, tool catalog, classifier counts, supported query patterns, primary sources. Free tier. Use this tool when an agent first connects and needs the capability matrix to decide whether this server can answer the user's question, or when the user asks "what can koreanpulse do" or "what data sources does this MCP server provide". Returns a structured dict that downstream agents can ingest directly.

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• get_upload_url

  Botverse

  Get a presigned upload form for any file — video, audio, or document (markdown, HTML, DOCX, etc.). It expires in 15 minutes. This is a presigned POST, NOT a PUT: the response returns upload_url + upload_fields — POST to upload_url as multipart/form-data, including every upload_fields key/value as form fields FIRST, then the file as the last field named 'file'. After upload, pass the object_key to transcribe_media (audio/video → transcript), transcode_video (video/audio encode), or convert_file (documents). IMPORTANT: this flow needs direct outbound network access to Botverse's storage host. In sandboxed agent environments (claude.ai, sandboxed desktop apps, Cursor) that route traffic through a proxy allowlist, the upload POST is blocked and fails. In those environments do NOT use this tool — use convert_content or transcode_content (inline content, body under 4 MB) for files you already have, or convert_from_url / transcode_from_url / transcribe_from_url for anything available at a public URL. Neither needs an upload step.

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• convert_from_url

  Botverse

  Offload a document conversion to Botverse — runs server-side in seconds, returns a download link, and frees you to continue with other tasks while it processes. Use this when the source document is at a public URL — direct download links and Dropbox / Google Drive / Box share links auto-resolve. OneDrive and SharePoint share links are unreliable (they often return a viewer page, not the file) — use a direct download URL for those. If you already have the content as a string, use convert_content instead — no upload step needed. Runs entirely server-side, so it works in sandboxed agent environments (claude.ai, Claude Desktop, Cursor) — the right route there for files too large for convert_content's 4 MB inline limit. Supported inputs: md, html, rst, txt, docx. Supported outputs: docx (Word), pdf, html, txt, md, rst, xlsx (tables extracted). Returns a job_id immediately. Poll get_job_status every 5s until 'complete', then get_output_content (inline, sandbox-safe) or get_download_url (S3 link). Flat fee $0.05 per file.

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• query_tasks

  cnvs.app

  Read tasks from a 'todo' board with server-side filtering — handy for 'what's overdue?' / 'what's assigned to X?' without pulling the whole board. All filters are optional and AND together: `assignee` (exact match), `priority` ('H'|'M'|'L'), `done` (boolean), `overdue` (true → due_date strictly before today, not done), `due_before` / `due_after` (ISO date window on due_date). Returns `{ boardId, mode, tasks }` — tasks ordered by sort, each with the same fields as `list_tasks`.

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• ibge_vizinhos

  IBGE Brasil MCP

  Finds nearby/neighboring municipalities. Features: - Search by IBGE code (7 digits) or municipality name - Returns municipalities in the same mesoregion (proximity approximation) - Optionally includes population data Note: Uses mesoregion as geographic proximity proxy. For exact spatial neighborhood, mesh processing would be required. Examples: - By code: municipio="3550308" - By name: municipio="Campinas", uf="SP" - With population: municipio="3550308", incluir_dados=true Note: proximity is approximated by shared mesoregion (not exact spatial adjacency). For listing/searching municipalities, use ibge_municipios. Behavior: read-only and idempotent — a live GET against the public IBGE Localidades API. Returns a Markdown list.

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• get_world_map

  Real Real Genuine

  [BROWSE] Map of the RRG 3D world, the spatial projection of the product embedding space that humans walk at /world. Geography = meaning: products with nearby (x, y, z) coordinates are semantically similar, and each named region is a cluster of related products. Returns every region with its label, centroid coordinates, and product count. Individual listings carry a matching `world` position in search_products and get_drop_details results. Use this to orient spatial queries ("what else is near this product"), to describe where a listing sits in the catalogue, or to direct a human to a region of the world at https://realrealgenuine.com/world.

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• prior_contribute

  Prior — Knowledge Exchange for AI Agents

  Share a solution. Call after the user confirms they want to contribute. When to prompt the user: After each non-trivial fix — not just at end of conversation. If you fixed something by reasoning rather than a known solution, ask inline: "That took some debugging — want me to contribute this to Prior?" Also prompt when the fix differed from what the error suggested, or when a contribution nudge appears in search results. Before submitting, read prior://docs/contributing for field guidance. Scrub PII and project-specific details — Prior is a public knowledge base. Write for developers on unrelated projects, not your team. If the response has requiresConfirmation=true, Prior found similar entries that may already cover this topic. Review them — if they solve the problem, don't re-contribute. If your contribution adds unique value (different environment, additional context, better solution), call prior_contribute again with the same fields plus the confirmToken from the response.

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• list_live_flows

  Power Automate MCP Server by Flow Studio

  List Power Automate flows in an environment. Returns id, displayName, state, triggerType, and lastModifiedTime for each flow. mode=owner (default): flows owned by AND shared with the impersonated account (personal + team), with full definitions. mode=admin: all flows in the environment (requires an admin account). If search is provided, results are filtered to flows whose displayName contains the search text. For large environments pagination is time-bounded — if nextLink is returned, pass it as continuationUrl to retrieve the next batch.

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• tm_list_scenes

  Twinmotion MCP

  Enumerate every 2D/3D view ('scene') baked into the translated model, plus a shallow dump of the model object tree (first 50 top-level nodes across all 3D views), plus the list of completed derivatives (svf2, thumbnail, obj, etc.) available via APS. The canonical discovery tool for anything downstream that needs a view name or GUID. When to use: before tm_render_image (to pick a valid camera_preset), before tm_export_video (to plan a camera path across named views), to audit what was translated ('did the 3D coordination view survive translation?'), or to expose the top-level model hierarchy for UI display. Also a useful health check — if scene_count=0, the translation is incomplete or failed. When NOT to use: not for full property queries on individual objects (this tool returns names + GUIDs + child counts only — use a dedicated property-query tool for full attribute dumps), not for geometry data (use tm_export_video for OBJ export), not on a URN that has not yet started translating. APS scopes required: viewables:read data:read. Read-only across Model Derivative manifest + metadata + object-tree endpoints. Rate limits: APS default ~50 req/min. This tool fans out across every 3D view to fetch object trees — for models with many 3D views (10+) it can burn a chunk of the budget in one call. Prefer caching the result on the caller side rather than re-invoking. Errors: 401/403 = token/scope; 404 = URN not found; 422 = n/a; 429 = back off 60s (this tool makes multiple APS calls per invocation, so 429 is more likely than on single-call tools); 5xx = APS upstream. A 202 on object-tree means APS is still building the tree — the tool retries once internally. Side effects: NONE on APS (read-only). Writes a usage_log row. Idempotent.

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• create_workspace

  Dock

  Create a new workspace in the caller's org. Works for both user and agent callers; agent-created workspaces attribute to the agent and enroll the agent's owning user as a co-owner so the human sees it in their dashboard. The new workspace is seeded with one primary surface matching `mode`: `doc` → a Notes tab (for prose), `table` → a Sheet tab (for records), `html` → a Mockup tab (sandboxed HTML preview). Decide the surface before you create: prose (briefs, notes, summaries, drafts) → `doc`; records with shared columns (tasks, leads, rows) → `table`. If you omit `mode`, pass `initial_markdown` to signal a `doc`; with neither `mode` nor `initial_markdown`, an agent caller gets a guided error asking it to choose `doc` or `table` (so you never silently land on the wrong surface). An explicit `mode` is always honored. `html` is only picked when explicitly requested. Add more tabs of any kind later via `create_surface`. Agent-created workspaces default to org-visibility so sibling agents in the same org aren't 403'd. For prose content (briefs, summaries, changelogs) pass `initial_markdown` to seed the doc body in one call; the markdown is converted server-side, no need to hand-build ProseMirror JSON.

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• query

  Overpass

  Run a raw Overpass QL query against OpenStreetMap. Use for complex spatial queries the helper tools can't express. Example: `[out:json][timeout:25]; area["name"="Berlin"][admin_level=4]->.a; node["amenity"="library"](area.a); out body;`. Returns the raw Overpass JSON (elements array with node/way/relation).

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• resolve_reasoning

  AI Reasoning Commons

  🔥 TOKEN SAVER: Before you spend tokens solving from scratch, check if 128+ reasoning objects already have the answer. Avg savings ~2,400 tokens per HIT. On HIT: get solution, key insights, consensus score, and ready-to-use provenance block. On MISS: you solve it, store it, earn points. Always call this first — it costs almost nothing and can save thousands of tokens. Use auto_route=true to auto-create a claimable task on MISS.

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• who_query_indicator_data

  who-gho-mcp-server

  Query data rows for a single WHO GHO indicator with optional spatial, temporal, and dimension filters. Returns rows with numeric values, uncertainty intervals (Low/High), and spatial/time metadata. This is the primary data-fetching tool in the find-then-query workflow: use who_search_indicators to find the indicator code, optionally call who_get_indicator_metadata to confirm which filter dimensions are valid, then call this tool. Spatial filters are mutually exclusive per call: provide only one of country_codes, region_codes, or income_group_codes — mixing them triggers an error. Omitting all spatial filters returns all geographies (may be large; use limit to cap). The sex filter only applies when the indicator uses SEX as its first cross-cutting dimension — if not, the filter returns empty rows; check who_get_indicator_metadata first if uncertain.

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• get_download_url

  Botverse

  Get a presigned HTTPS URL to download the completed output file. Call after get_job_status returns 'complete'. URL expires in 24 hours. NOTE: fetching this URL is a direct S3 download, which is BLOCKED in sandboxed agent environments (claude.ai, Claude Desktop, Cursor). If you are in a sandbox, use get_output_content instead to receive the bytes inline over the tool channel.

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• convert_content

  Botverse

  Convert a document inline — pass the content directly as a string (or base64 for binary inputs like .docx). PREFERRED route for documents, and the one to use in sandboxed agent environments (claude.ai, Claude Desktop, Cursor): it runs entirely server-side, so it never needs the S3 upload those sandboxes block. Limit: up to 4 MB of content — already huge (a 500-page book is ~1 MB of text). For anything larger, use convert_from_url with a public URL. Supported inputs: md, html, rst, txt (plain text), docx (base64). Supported outputs: docx (Word), pdf, html, txt, md, rst, xlsx. Returns a job_id — poll get_job_status until 'complete', then get_output_content (inline bytes, sandbox-safe) or get_download_url (S3 link). Flat fee $0.05 per file. TIP: if you have shell access and are NOT sandboxed (e.g. a local coding agent), the `botverse` CLI (`npx botverse convert <file> --to <fmt>`) is faster for local files — it streams from disk instead of re-emitting the content through the model.

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• update_tasks

  Plate

  Update multiple existing tasks in one action. Use this instead of calling update_task multiple times when the user asks to change several tasks at once. All updates are applied atomically.

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• get_printyourduck_quote_requirements

  PrintYourDuck Quote

  Read public requirements for a PrintYourDuck manual custom 3D printing quote request. Use this before submit_quote_request to check accepted file types, material options, confirmations, restrictions, and the private-upload flow. Does not calculate instant pricing.

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