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750,842 tools. Updated 2026-11-06 10:53

"UML diagram generation tools and software like Mermaid or Visio" matching MCP tools:

  • Use this when the user supplies source code and asks for UML, Mermaid, sequence, class, component, or architecture diagrams. After authorization, this state-changing generation consumes AI credits, creates a generation, and can save markdown to a Space. Public Spaces expose saved diagrams. Use browser guidance for local uploads or full-repository diagrams.
    ConnectorOAuth
  • Turn JavaScript/TypeScript code, arrow steps or Mermaid-style arrows into a flowchart, returned as Mermaid source and an SVG diagram. Steps mode uses one flow per line: "Start -> Validate -> Save" and branches like "Validate -- No --> Show error".
    ConnectorNo auth
  • Create a new versioned shared file in the caller's org. Shared files default to private. Call ``file_publish`` to generate the public share URL (``/s/{share_token}``). Each ``file_update`` creates a new immutable version row. Pass ``work_id`` to attach it to a task and/or ``project_id`` to attach it to a project (same ``shared_files`` row; project attachments are ``kind=artifact`` only). ``content_format='diagram'`` takes either diagram schema: - ``teamshared.diagram/v1`` — ``body: {format: mermaid, text: "..."}``, rendered as Mermaid. Best for flowcharts, sequences, and ER sketches. - ``teamshared.diagram/v2`` — ``body: {format: scene, layers: [...], nodes: [...], edges: [...]}``, rendered as a layered 3D scene where each layer is a plane (infra / software / data by convention), each node sits on one layer, and edges may cross layers. ``kind`` (default ``system``), ``view`` (``layers``), ``mode`` (``authored``) and ``body.camera`` are optional. Every node needs ``id`` and ``layer``; ``shape`` is ``box`` | ``cylinder`` | ``sphere`` | ``cone``; edges are ``{from, to, label?, kind?}`` with ``kind`` one of ``sync`` | ``async`` | ``data`` | ``depends``. Omit ``x``/``z`` to get an automatic grid on the plane. Caps: 8 layers, 300 nodes, 600 edges, 256 KiB. Unknown keys are rejected.
    ConnectorNo auth
  • Generate a Mermaid.js flowchart for human visual inspection only. NOT for orphan detection or programmatic analysis — use audit(mode=orphans) to find isolated memories. Output may be truncated for large domains; never infer graph properties (e.g. orphans) from a truncated result. Pass memory_id (memory ID) to see a single memory and all its direct connections. Pass domain to see the full domain graph (most-connected memories first, capped at limit, default 40 max 100). Returns JSON with mermaid, node_count, edge_count, nodes_shown, nodes_total, edges_shown, edges_total, truncated, memories([{id,label}]) and connections([{from,to,relationship}]). If client supports HTML widgets, prefer passing memories and connections to an interactive renderer rather than outputting raw mermaid. If not, output mermaid inside a ```mermaid code block. If truncated is true, note only most-connected memories are shown and nodes_total/edges_total reveal what was dropped.
    ConnectorAPI key
  • Return the enrichment record for one company: name, domain, industry, employee_count, description, last_updated (ISO 8601 UTC) and source. Call this when you already know the company's website domain or exact name and need firmographic details. Pass exactly one of `domain` (preferred; URLs like "https://www.acme.com/about" are normalized to "acme.com") or `name` (case-insensitive exact match). If you only have a partial name or a topic, call search_companies first. Returns error "not_found" when no record exists. Free: the enrichment table is a small sample of fictional companies on reserved .example domains, for trying the tools.
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Matching MCP Servers

Matching MCP Connectors

  • DiagramOAuth

    Saves the diagrams your AI draws and gives you a link to share. Edits update the same link.

  • Render, verify, describe, and safely edit Mermaid diagrams through MCP.

  • Generate an image or a video with FotoAI (fotoai.hu), paid with the user's OWN FotoAI credits. Call fotoai_quote first, tell the user the price, and pass its quote_id here only after the user agrees. Returns the generation id. The finished outputs are saved into this Postemi workspace's media library automatically. With wait_seconds (up to 50) the call waits for a short image and returns media paths directly; otherwise call fotoai_get_generation with the id until status is completed. Attach each media PATH to create_post. Pass an idempotencyKey (a UUID you invent per generation). If a call times out, repeat it with the SAME key: you get the same generation back and nothing is charged twice.
    ConnectorOAuth
  • 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
  • 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
  • When: Use to record which source columns produce which target columns. No line is drawn. Record column-level lineage: which source column produces which target column, and how. This is what makes the diagram queryable for impact analysis, so add it for every real transformation. canvas_remove_lineage undoes it. Batch: `links` (up to 100) takes a list; put every item in one call rather than one call per item. Operates on one Datadef diagram, named by diagram_id. Returns compact JSON: the ids it created, changed or removed, the diagram revision, a one-line summary and the next step. A viewer-role account is refused. Next: canvas_validate_canvas before you finish.
    ConnectorAPI key
  • When: Use to merge several similar nodes into one while keeping their connections, usually after canvas_suggest_simplifications. Merge several nodes into one summary node, keeping every connection. Use when a set of near-identical objects adds length without adding meaning — eight staging models that all behave the same become "stg_* (8)". Do not use when the individual objects are what the reader came for. Batch: `nodes` (up to 40) takes a list; put every item in one call rather than one call per item. Operates on one Datadef diagram, named by diagram_id. Returns compact JSON: the ids it created, changed or removed, the diagram revision, a one-line summary and the next step. A viewer-role account is refused. Next: canvas_layout_canvas once, then canvas_view.
    Connector
    Destructive
    API key
  • Resolves a brand_job_ref returned by brand_guideline_specify when its race-to-complete window elapsed before generation finished. Read-only, in-process lookup -- never re-runs generation. Returns {"status": "processing"} if still running, {"status": "complete", "brand_ref": ..., "project_id": ..., "recommended_candidate_id": ..., "candidate_count": ...} once done (a compact summary -- use the returned brand_ref with brand_guideline_select/brand_guideline_pdf/brand_guideline_claims for full detail, the same pattern every other Brand Standard tool already uses), or {"status": "failed", "error_code": ..., "message": ...} if generation genuinely failed server-side. An unknown or expired brand_job_ref returns a structured BRAND_JOB_NOT_FOUND error, never a crash or empty success.
    ConnectorNo auth
  • Resolves a brand_job_ref returned by brand_guideline_specify when its race-to-complete window elapsed before generation finished. Read-only, in-process lookup -- never re-runs generation. Returns {"status": "processing"} if still running, {"status": "complete", "brand_ref": ..., "project_id": ..., "recommended_candidate_id": ..., "candidate_count": ...} once done (a compact summary -- use the returned brand_ref with brand_guideline_select/brand_guideline_pdf/brand_guideline_claims for full detail, the same pattern every other Brand Standard tool already uses), or {"status": "failed", "error_code": ..., "message": ...} if generation genuinely failed server-side. An unknown or expired brand_job_ref returns a structured BRAND_JOB_NOT_FOUND error, never a crash or empty success.
    ConnectorNo auth
  • Resolves a brand_job_ref returned by brand_guideline_specify when its race-to-complete window elapsed before generation finished. Read-only, in-process lookup -- never re-runs generation. Returns {"status": "processing"} if still running, {"status": "complete", "brand_ref": ..., "project_id": ..., "recommended_candidate_id": ..., "candidate_count": ...} once done (a compact summary -- use the returned brand_ref with brand_guideline_select/brand_guideline_pdf/brand_guideline_claims for full detail, the same pattern every other Brand Standard tool already uses), or {"status": "failed", "error_code": ..., "message": ...} if generation genuinely failed server-side. An unknown or expired brand_job_ref returns a structured BRAND_JOB_NOT_FOUND error, never a crash or empty success.
    ConnectorNo auth
  • Start linking a cloud account so it can be scanned. `provider` is "aws", the only provider supported today; `account_id` is the 12-digit AWS account number. `software` is the Tomorrow Central software the link is for; omit it for Cloud Cost Sentinel. Each software has its own read-only role, so link once per software. This is a two-party flow and you cannot finish it alone — creating the read-only IAM role requires the human's AWS credentials. Returns a `launch_url`. Hand the human these instructions verbatim: 1. Open the launch_url (a pre-filled CloudFormation quick-create link). 2. Review the read-only role it creates, then click Create stack. 3. Tell you when the stack says CREATE_COMPLETE. Then call `verify_connection` with the returned connection_id. Verification fails with a clear message until the role exists, so polling it every ~15 seconds is safe and expected. No ARN or secret needs to be copied by anyone.
    ConnectorNo auth
  • Poll the status of a generation job started by any tool. Every generation tool returns `{id, status}`; call getApiJob with that id until status is `succeeded` (then read `result`, shaped exactly like the tool's documented output) or `failed` (read `error`). Poll every few seconds, or pass `wait: 30` to long-poll - the call is held up to 30 seconds (max 60) and returns as soon as the job finishes.
    ConnectorNo auth
  • 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
  • Generate an empty background plate for one short shot. Both reference inputs steer what the plate itself looks like — layout, prop identity, materials and lighting — and are unrelated to upload_shot_continuity_reference, which guides clip generation instead. Use reference_image_asset_ids for images already in this project (find them with get_asset_library) and reference_images_base64 to send bytes you produced locally, for example a frame lifted from an earlier scene so a prop matches what is already on screen. Uploaded bytes are used for this one generation and are not kept as project assets. The location's own reference images are always included on top of both. Spends credits. Returns a job id — poll it with get_job.
    ConnectorNo auth
  • Free. Sends a message to the human operators of this service: a bug report, a problem with these tools or the documentation, or a suggestion. It is read by people, not processed by software, and nothing is returned beyond an acknowledgement. Do NOT use it for status updates, progress notes, task narration, error logs, or as a fallback when another tool is unavailable or a payment cannot be made -- it cannot complete, retry or work around any task. Name is optional (omit for anonymous feedback); message is limited to 1000 characters.
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  • External generation, not a catalog search: start only when the user has chosen or already authorized this generation path. Do not spend provider credits to discover candidate assets. Start a text/image → 3D generation of ONE freestanding object per task — build ground planes and assemblies from scene operations, and reuse a generated model by duplicating it with scene ops. provider=hyper3d (Rodin) takes prompt only; provider=hunyuan3d and provider=tripo3d take prompt OR imageUrl. Each provider needs its integrations_set token. Poll asset_generate_status, then import with asset_library_import source=<provider> slug=<taskUuid>.
    ConnectorAPI key
  • Use this when the user has a specific question for 7IT that describe_studio does not answer. Ask 7IT Solutions, a solo senior software studio, a question about whether it fits a project, what a first phase could cover, how engagements run, or what the client owns. Answers come only from 7IT's published profile and contain no prices or commitments; questions that need a quote are passed to our team, which replies directly.
    ConnectorNo auth