"A tool or software named Blender" matching MCP tools:

• how_munimji_helpsA

  HelloBooks AI AgentsA

  Explain how HelloBooks and Munimji (the in-app AI assistant) help a specific business — given a free-text description of the user's own operations. Returns a curated capability knowledge base: business-operation areas (sales, purchases, banking, tax, reports, inventory, payroll, multi-entity, setup), and for each AI capability WHO does the work — `autonomous` (Munimji does it on its own, e.g. OCR extraction, running reports), `approval` (Munimji prepares the entry and you one-click approve before it posts to the ledger, e.g. AI categorization, find-and-match, creating invoices/bills by chat), `assist` (co-pilot, e.g. guided onboarding, voice), or `manual` (a software feature you run yourself). Each capability links to the backing software features. Use this when a user describes their business and asks "how can HelloBooks help me?", "what can the AI do for my shop/practice/agency?", or "what can Munimji do on its own vs what do I approve?". Pass their description in `businessDescription`; optionally filter by `area` or `autonomy`. The AI never posts to a ledger without approval. For the full software catalog call list_features; for pricing call list_plans.

  ConnectorNo auth

• how_munimji_helpsA

  HelloBooks AI Agents MCP ServerA

  Explain how HelloBooks and Munimji (the in-app AI assistant) help a specific business — given a free-text description of the user's own operations. Returns a curated capability knowledge base: business-operation areas (sales, purchases, banking, tax, reports, inventory, payroll, multi-entity, setup), and for each AI capability WHO does the work — `autonomous` (Munimji does it on its own, e.g. OCR extraction, running reports), `approval` (Munimji prepares the entry and you one-click approve before it posts to the ledger, e.g. AI categorization, find-and-match, creating invoices/bills by chat), `assist` (co-pilot, e.g. guided onboarding, voice), or `manual` (a software feature you run yourself). Each capability links to the backing software features. Use this when a user describes their business and asks "how can HelloBooks help me?", "what can the AI do for my shop/practice/agency?", or "what can Munimji do on its own vs what do I approve?". Pass their description in `businessDescription`; optionally filter by `area` or `autonomy`. The AI never posts to a ledger without approval. For the full software catalog call list_features; for pricing call list_plans.

  ConnectorNo auth

• describe_capability_v1A

  osintA

  Describe any served capability by name — the generic twin of the named describe tools. Pass `capability` as either a capability id from list_capabilities_v1 (e.g. "power.capacity") or a query primitive name (e.g. "query_power_capacity_v1"). Returns the same schema payload as the named describe tool: valid filters, groupings, metrics, detail fields, and citation fields. Use the generic pair (this + query_capability_v1) when list_capabilities_v1 names a capability that has no named tool in your client's tool list — clients cache tool lists, and capabilities shipped after that cache are still fully reachable here.

  ConnectorNo auth

• tm_export_videoA

  Twinmotion MCPA

  Prepare a model for an animated walkthrough / video export by verifying the manifest is complete, then starting a secondary Model Derivative job that produces OBJ geometry (suitable for ingestion into offline rendering pipelines, Blender, or Unreal Engine). Also returns the list of available named views so the operator can stitch them into a camera path. Does NOT itself produce an mp4 — video encoding happens in the downstream UE/Twinmotion pipeline. When to use: when a user wants a walkthrough/flythrough video of a BIM model (e.g. 'make a 30-second tour of Tower A') — this tool gets the geometry into a UE-ingestible form (.obj, plus suggests FBX/glTF/USD naming like TowerA_walkthrough.fbx for the exported asset) and enumerates named views to guide camera path authoring. When NOT to use: not to actually encode video (no runtime renderer in this worker — output must be finished in Unreal/Twinmotion/Blender), not before tm_import_rvt, not if the manifest is still 'inprogress' (the tool will short-circuit and return status='pending'). Not for still images (use tm_render_image) or clash animations (use navisworks-mcp). APS scopes required: data:read data:write viewables:read. Write scopes are needed because this kicks off a new Model Derivative translation job (OBJ + thumbnail). Rate limits: APS default ~50 req/min; Model Derivative translation jobs ~60 req/min. OBJ derivatives of large BIM models can be multi-GB and take 10–45 min — rely on manifest polling with exponential backoff, not re-calling this tool. Errors: 401/403 = token/scope (data:write commonly missing); 404 = URN not found; 409 = OBJ derivative already queued (treat as success); 422 = input format does not support OBJ output (some IFC variants / proprietary formats — fall back to FBX/glTF via a different derivative format); 429 = back off 60s; 5xx = APS upstream. Side effects: STARTS a new translation job on an existing URN (consumes APS cloud credits). Writes usage_log. NOT idempotent per-call (each call creates a new job record), but APS will dedupe identical output requests internally if manifest already contains the derivative.

  ConnectorNo auth

• search_toolsA

  RelaystationA

  Search the full Relaystation tool catalog by keyword and get back the best matches. Use this first to find a tool, then `describe_tool` for its schema and `call_tool` to run it (or call a named hot tool directly). `query` is free text (e.g. "merge pdf", "csv to json", "send telegram"). `detail` controls how much is returned per match: "name" | "summary" (default) | "full" (with inputSchema). `limit` defaults to 5. FREE. Example: search_tools {query:"merge pdf", limit:5}

  ConnectorNo auth

• get_solution_detailA

  Tuki — Travel Marketplace (Chile y Latinoamérica)A

  Get full detail for a Tuki solution: description, who it is for, capabilities, status and contact / CTA. Use after `list_solutions` or when the user asks about a specific Tuki product (WhatsApp Booking OS, boutique ticketing, rental inventory software, event post-sale, tailor-made tourism software).

  ConnectorNo auth

• get_devicesA

  FlowseryA

  Get visitors split by device type (desktop, mobile, tablet), ranked by visitors descending, for a date range. Use this for the mobile-versus-desktop question; use get_browsers or get_operating_systems for the software split. Pass filter_device to any other tool to restrict it to one device type instead. Three rows at most, so pagination rarely matters. Rows carry value, visitors, revenue, and percentage. Dates default to the last 30 days; all filter_* arguments apply. Requires websiteId or domain with a workspace token.

  ConnectorOAuth

• list_local_clisA

  Gabriel S. Gusmao: Research and Scientific CLIsA

  Discover Gabriel's catalog of locally run command-line tools. Returns stable tool IDs, descriptions, source links, versions, requirements, installation instructions, usage examples, software/paper citations and optional follow/star/fork/share links and guidance. All computation runs on the user's own computer. This tool only returns curated static metadata; it never installs packages, loads plugins, fetches remote instructions, or executes code. Check each entry's release and verification status before recommending it.

  ConnectorNo auth

• mesh-audit-external-postureA

  MeshMarketA

  Mesh Audit — External Posture — Consent-gated, READ-ONLY external posture report — informational only, not a formal audit or warranty. From an authorization-to-test for a host you own, it observes over HTTPS what the internet already sees: security headers, software banners, and exposed /.env //.git/admin surfaces. Always names what it did NOT check; internal targets refused. Input: {consent_id, asset} via /api/audit/consent. (6 MESH/call, a tool · audit)

  ConnectorNo auth

• list_alternativesA

  Beste KI ToolsA

  List live, same-category alternatives to a well-known AI tool (e.g. 'chatgpt', 'notion-ai', 'figma'). Call this when a user asks 'what are the alternatives to X' or wants competitors/substitutes for a named product. `target` is the well-known tool's slug, not a listing slug from this catalog.

  ConnectorNo auth

• list_alternativesA

  Lanzamientos IAA

  List live, same-category alternatives to a well-known AI tool (e.g. 'chatgpt', 'notion-ai', 'figma'). Call this when a user asks 'what are the alternatives to X' or wants competitors/substitutes for a named product. `target` is the well-known tool's slug, not a listing slug from this catalog.

  ConnectorNo auth

• list_alternativesA

  IA SelectaA

  List live, same-category alternatives to a well-known AI tool (e.g. 'chatgpt', 'notion-ai', 'figma'). Call this when a user asks 'what are the alternatives to X' or wants competitors/substitutes for a named product. `target` is the well-known tool's slug, not a listing slug from this catalog.

  ConnectorNo auth

• list_alternativesA

  KI AlternativenA

  List live, same-category alternatives to a well-known AI tool (e.g. 'chatgpt', 'notion-ai', 'figma'). Call this when a user asks 'what are the alternatives to X' or wants competitors/substitutes for a named product. `target` is the well-known tool's slug, not a listing slug from this catalog.

  ConnectorNo auth

• list_alternativesA

  KI Tools HeuteA

  List live, same-category alternatives to a well-known AI tool (e.g. 'chatgpt', 'notion-ai', 'figma'). Call this when a user asks 'what are the alternatives to X' or wants competitors/substitutes for a named product. `target` is the well-known tool's slug, not a listing slug from this catalog.

  ConnectorNo auth

• list_alternativesA

  The AI Tools IndexA

  List live, same-category alternatives to a well-known AI tool (e.g. 'chatgpt', 'notion-ai', 'figma'). Call this when a user asks 'what are the alternatives to X' or wants competitors/substitutes for a named product. `target` is the well-known tool's slug, not a listing slug from this catalog.

  ConnectorNo auth

• list_alternativesA

  Alternativas IAA

  List live, same-category alternatives to a well-known AI tool (e.g. 'chatgpt', 'notion-ai', 'figma'). Call this when a user asks 'what are the alternatives to X' or wants competitors/substitutes for a named product. `target` is the well-known tool's slug, not a listing slug from this catalog.

  ConnectorNo auth

• list_alternativesA

  AI Alt FinderA

  List live, same-category alternatives to a well-known AI tool (e.g. 'chatgpt', 'notion-ai', 'figma'). Call this when a user asks 'what are the alternatives to X' or wants competitors/substitutes for a named product. `target` is the well-known tool's slug, not a listing slug from this catalog.

  ConnectorNo auth

• list_alternativesA

  LaunchelionA

  List live, same-category alternatives to a well-known AI tool (e.g. 'chatgpt', 'notion-ai', 'figma'). Call this when a user asks 'what are the alternatives to X' or wants competitors/substitutes for a named product. `target` is the well-known tool's slug, not a listing slug from this catalog.

  ConnectorNo auth

• g2_reviewsA

  review-intelligence-mcp-serverA

  Get G2 software reviews. Returns ratings, pros, cons, use cases. Args: product: Software product name (e.g. 'Salesforce') max_results: Max reviews (default 20)

  ConnectorNo auth

• query_capability_v1A

  osintA

  Query any served capability by name — the generic twin of the named query tools, reaching every capability including ones newer than your client's cached tool list. Pass `capability` as either a capability id from list_capabilities_v1 (e.g. "power.price_ercot") or a query primitive name (e.g. "query_power_price_ercot_v1"), and `params` as the same flat JSON object the named query tool accepts — call describe_capability_v1 first for valid filters, e.g. {"capability": "power.capacity", "params": {"state": "TX", "group_by": ["energy_source_code"]}}. Returns the identical cited envelope as the named tool: same rows, same citations, same as_of.

  ConnectorNo auth

• scrutica_estimate_flopsA

  ScruticaA

  Estimate hypothetical peak and sustained throughput for a user-specified hardware configuration and precision. Sustained throughput equals dense peak throughput multiplied by accelerator count and utilization. The reported bounds are fixed at 0.7 and 1.15 times that result; they are model assumptions. Retain the bounds and is_estimated flag when quoting the estimate. This tool does not verify a named facility's inventory, availability or regulatory compliance. Named-facility estimates have separate evidence requirements documented at /methodology#flop-estimation.

  ConnectorNo auth