"A search for diagrams" matching MCP tools:

• searchA

  DC Member APIA

  GET /search — Cross-resource omni-search Cross-resource search across profiles, rooms, messages (incl. private DMs + group DMs you're in), events, and chapters in one round trip. Returns the top-N matches per resource, grouped by resource. Use this when you don't yet know which resource carries the answer — agents typically call this first, then drill into a specific `GET /search/<resource>` for more depth on a single bucket. There's no page param: when you hit the per-resource limit and want more, switch to the per-resource endpoint for that one. The events slice has a baked-in forward-looking default (events ending in the last 30 days or later, and currently enabled) — this matches the in-app "Search across DC" surface. Use `GET /search/events` directly to look further back in time. **Query syntax (`q=`):** plain words match with prefix + typo tolerance. Wrap a phrase in double quotes to require an exact ordered match — e.g. `q="remote work"`. AND/OR/NOT/parentheses are NOT parsed in `q=` — use the structured filter params below for boolean composition.

  ConnectorNo auth

• search_diagramsA

  VectreeA

  Search Vectree's library of ~95,000 interactive concept diagrams by meaning, not keywords. Vectree explains how things work as zoomable, labelled schematics — each diagram breaks a topic into nodes you can read or drill into. Use this when the user wants a diagram, a visual explanation, a systems overview, or a map of how the parts of something fit together. Describe the topic in natural language; the search is semantic, so a full question works better than a bare keyword. Results are ranked by how closely they match and by the quality of the model that generated them. Each result carries a slug — pass it to `get_diagram` for the full content of one diagram. Only public, already-generated diagrams are searched. Nothing is generated on demand, so a topic with no match simply has no diagram yet.

  ConnectorNo auth

• createA

  WhimsicalA

  Create content in Whimsical — diagrams, folders, or boards. Pick by intent: source is a sketch, hand-drawn note, photographed whiteboard, or any layout where absolute positions matter → type:'board' (pass data.items for one-shot creation; MUST call how_to('board') first). Source describes semantic structure (steps, hierarchy, sequence, UI) → flowchart, mindmap, sequence_diagram, or wireframe — these auto-layout. Mind maps: pass data.markdown directly (no how_to needed). Sequence diagrams: use data.diagram with arrow syntax (A -> B: msg) — no how_to needed for basic diagrams. Flowcharts: MUST call how_to('flowchart') first for the structured format. Wireframes: MUST call how_to('wireframe') first. For documents, use `doc_create`.

  ConnectorOAuth

• render_diagramA

  Diagrams MCPA

  Render a mingrammer/diagrams Python snippet to PNG and return the image. The code must be a complete Python script using `from diagrams import ...` imports and a `with Diagram(...)` context manager block. Use search_nodes to verify node names and get correct import paths before writing code. Read the diagrams://reference/diagram, diagrams://reference/edge, and diagrams://reference/cluster resources for constructor options and usage examples. Args: code: Full Python code using the diagrams library. filename: Output filename without extension. format: Output format — ``"png"`` (default), ``"svg"``, or ``"pdf"``. download_link: If True, return a temporary download URL path (/images/{token}) that expires after 15 minutes; if False, return inline image bytes. Defaults to True (URL) — set ``DIAGRAMS_INLINE_DEFAULT=true`` on the server to flip the default. SVG/PDF and PNGs larger than the inline limit always use a download link.

  ConnectorNo auth

• search_learning_pathsA

  VectreeA

  Search Vectree's curated learning paths — ordered sequences of diagrams that teach a subject from the ground up, one step at a time. Vectree explains how things work as zoomable, labelled schematics. A learning path strings a set of those diagrams into a syllabus, so a reader moves from the fundamentals of a subject to its harder parts in a deliberate order. Use this when the user wants to *learn*, *study* or *get started with* a whole subject. When they want one specific topic explained instead, use `search_diagrams` — that searches individual diagrams rather than sequences. Describe the subject in natural language; the search is semantic, so a full sentence works better than a bare keyword. Each result carries a slug — pass it to `get_learning_path` for the full ordered sequence. Only published paths are searched. Nothing is generated on demand, so a subject with no match simply has no path yet.

  ConnectorNo auth

• searchA

  SocialGPTA

  Search across your own connected-account content and return the best matches. Each result has an `id` (pass it to `fetch` for the full item), a `title`, a `url`, and a `text` snippet. This is the deep-research "search" entrypoint the ChatGPT/Claude connectors call by convention; for semantic search over analyzed videos specifically use `search_videos`. Returns {"results": [...]}; when you have no connected accounts it returns reason="no_connected_accounts" plus a connect_url instead of results.

  ConnectorOAuth

• search_shapesA

  draw.ioA

  Search the draw.io shape library by keywords. Returns matching shapes with their exact style strings, dimensions, and titles. Covers ~10,000 built-in stencils (cloud architecture, network topology, P&ID, electrical, Cisco, Kubernetes, BPMN) and, when those are sparse, supplements results with the draw.io icon service (brand/product logos and general-purpose concept icons, e.g. 'react', 'slack', 'shopping cart', 'solar panel'). Use ONLY for diagrams that need industry-specific, branded, or pictorial icons. Do NOT use for standard diagram types like flowcharts, UML, ERD, org charts, or mind maps — these use basic geometric shapes (rectangles, diamonds, circles, cylinders) that are already covered in the XML reference. Also skip if the user asks to use basic/simple shapes or says not to search. The style string from the results can be used directly in mxCell style attributes.

  ConnectorNo auth

• google-search-console.list_sitesA

  Vee3A

  List Search Console properties for this account. Returns Vee3-managed domains plus sites added with google-search-console.add_site. Call this to discover sites, then omit site_url on later calls to use the default property, or pass an exact site_url from this response. If no properties appear, add a site with google-search-console.add_site or register a domain with domains.register. Cost = 5 tokens.

  ConnectorNo auth

• doc_createA

  WhimsicalA

  Create a Whimsical document. Markdown content — headings, lists, links, code blocks. For diagrams, boards, or folders, use `create`.

  ConnectorOAuth

• render_mindmapA

  MindMapA

  Render an interactive MCP app mind map when the user needs hierarchical structure shown visually instead of as prose. Use it for breaking down ideas, plans, study material, or systems into a root topic with nested branches; do not use it for tables, flowcharts, Mermaid/Graphviz diagrams, or plain text lists. Input `mindmap_markdown` must be a clean markdown tree with one `#` root heading and 2-space-indented bullet nesting. If the user gives prose, first reshape it into that hierarchy, then call this tool.

  ConnectorNo auth

• tourradar_vertex-review-searchA

  MolTravelB

  [tourradar] Search tour reviews using AI-powered semantic search. Requires tourIds to scope results to specific tours. Use this when the user asks about reviews, feedback, or experiences for specific tours. Combine with an optional text query to find reviews mentioning specific topics (e.g., 'food', 'guide', 'accommodation'). When you don't have tour IDs, use vertex-tour-search or vertex-tour-title-search first to find them.

  ConnectorNo auth

• searchA

  sponsorableA

  Search Sponsorable's podcast-sponsorship database for brands that sponsor podcasts — the deep-research/Responses-API compatibility interface, paired with fetch. Matches sponsor names and domains and returns citable documents; pass a result's id to fetch for the full profile. For filtered or paginated search (category, industry, recency), use search_sponsors instead.

  ConnectorNo auth

• read_pasteA

  xi.peA

  Fetch the text of an existing xi.pe paste -- including one a user or another agent just handed you. Accepts either the code or the full URL. If you pass the URL on to a human and the text is Markdown, append ?md: it renders headings, tables and ```mermaid diagrams.

  ConnectorNo auth

• generate-uml-diagramA

  docuwriterA

  Use this when the user supplies source code and asks for UML, Mermaid, sequence, class, component, or architecture diagrams. State-changing generation action: consumes AI credits, creates a generation, and optionally writes markdown to a Space after authorization. Use browser guidance for local uploads or full repository diagrams.

  ConnectorOAuth

• generate_diagramA

  WhimsicalA

  Auto-laid-out semantic diagrams ONLY (flowchart, mind map, sequence diagram). DO NOT use for sketches, hand-drawn notes, photographed whiteboards, or any input where absolute positions matter — even if the user says 'diagram' — use create(type:'board') instead (see how_to('board')). Mind maps: pass data.markdown directly (no how_to needed). Sequence diagrams: use data.diagram with arrow syntax (A -> B: msg, A --> B: dashed, A ->> B: open arrow) — no how_to needed for basic diagrams. Flowcharts: MUST call how_to('flowchart') first for the structured format.

  ConnectorOAuth

• searchA

  A-du: ADU rentals, plans and rulesA

  Search everything A-du publishes with one free-text query: ADU rental listings, pre-approved ADU plan sets, and the guides and city rules pages. Returns up to ten results as {id, title, url}; pass an id to `fetch` for the full record or page text. This is the generic entry point for hosts that only support search and fetch. Hosts that can call specific tools should prefer search_rentals, search_plans, get_adu_rules and ask_adu, which take structured filters and return structured data. Example: {"query": "one bedroom ADU for rent in Long Beach"}.

  ConnectorNo auth

• searchA

  GlasserA

  Search Glasser's data sources — runnable paid API endpoints — by keyword. Returns ranked endpoint summaries — provider, endpoint, price, run mode, and a `score` — already filtered to what this key may run. Several providers may sell the same capability: compare price and pick; the ranking is relevance-only. Pages are 5 by default (limit up to 20); read `total` for how many candidates exist and pass next_cursor back as cursor for more. The `score` is a cosine similarity for comparing rows, not a verdict: the ranking returns its nearest candidates, so neither low scores nor the last page shows that a capability is absent. Try other words, and inspect before running. Returns a `task_id`: pass it back on every later search, inspect and run for the same piece of work, and send `use_case` on the first search so the task records what the user is trying to achieve. Docs: https://glasser.ai/docs/api-reference/endpoints/search

  ConnectorAPI key

• get_generator_guideA

  tridentA

  Returns LLM-optimized instructions for generating Trident diagrams, including quick reference, critical rules (especially Y-axis!), spacing guidelines, common patterns, color conventions, and error prevention checklist. Use this before generating any Trident diagram.

  ConnectorNo auth

• open_documentA

  tridentA

  Opens a live Trident document and returns its full contents as Trident markup DSL — the human-readable text format used to author diagrams. Use this to READ and UNDERSTAND the diagram: its structure, labels, connections, and layout. Do NOT rely on this to enumerate entity IDs for programmatic use — the DSL can be very large and the output may be truncated. To get a complete, structured list of all entity IDs and counts, use get_document_summary instead. Requires a valid access token.

  ConnectorNo auth

• get_guideA

  CanvsA

  Returns guidance on diagram-creation workflow and tool selection: how to choose between Mermaid and manual element creation, and the recommended iteration workflow. Consult before building complex diagrams.

  ConnectorNo auth

• verifyA

  Agentic MermaidA

  Parse and verify a Mermaid diagram without rendering it. Returns { ok, family, summary, warnings, layout: { bounds, nodes, edges } } for valid diagrams and { ok: false, errors } for parse failures. `family` is the detected diagram family and `summary` a one-line description — check them: ok:true only means the diagram is structurally valid, not that it is the kind you intended. Warnings use the layout-rubric codes.

  ConnectorNo auth