"A platform for generating interactive graphs" matching MCP tools:

• render_docA

  AspicioA

  Render a drawing in any supported format (DXF or PDF) to a PNG you can look at, detected from its bytes rather than its name. Use this when you do not know which format you have. Renders the first page/sheet by default; pass `space` (a name from a describe reply's `spaces`) to render another one. Some chat UIs do not display the returned image to the user: for URL sources the result also includes a direct image link — show it (e.g. as a markdown image) when they need to see the render. When the user wants to see or explore the drawing themselves, prefer view_dxf (interactive viewer) — if your platform gates it behind user approval, offer it and ask rather than substituting a static render.

  ConnectorNo auth

• get_creatorA

  Influship Influencer Marketing MCPA

  Fetch the full record for a single creator by ID or exact platform username. Use this when you already have either: - a canonical creator UUID returned by `search_creators`, `semantic_search_creators`, `autocomplete_creators`, or `find_lookalike_creators`; or - an exact platform+username pair such as platform "instagram" and username "niickjackson". Pass `include: ['profiles']` to also receive the creator's social profile summaries when using a creator UUID. For platform+username inputs, this tool resolves through the profile endpoint and returns the profile record plus the underlying creator record, so you already get the matched profile context. Examples: - User: "Get creator 123e4567-e89b-12d3-a456-426614174000" -> call with id. - User: "Get @niickjackson on Instagram" -> call with platform "instagram" and username "niickjackson", or use `get_profile` if profile metrics are the main need. - User: "Tell me about @niickjackson and include his profiles" -> use platform "instagram" and username "niickjackson"; then use `get_profile`/`get_posts` for platform-specific metrics and content if needed. Use `lookup_profiles` for batch exact profile lookups.

  ConnectorNo auth

• render_dxfA

  aspicio-dxf-viewer-remoteA

  Render a DXF drawing to a PNG image you can look at. Use this to answer visual questions (what does it look like, where is a feature) — it returns an image, not text. For structural facts and measurements, prefer describe_dxf; never measure pixels. Some chat UIs do not display the returned image to the user: for URL sources the result also includes a direct image link — show it to the user (e.g. as a markdown image) when they need to see the render. When the user wants to see or explore the drawing themselves, prefer view_dxf (interactive viewer) — if your platform gates it behind user approval, offer it and ask rather than substituting a static render.

  ConnectorNo auth

• axint.registry.searchA

  AxintA

  Search the Axint Registry for already-published packages that match a natural-language query. Use this BEFORE calling axint.feature or axint.compile so the agent can install an existing package instead of regenerating Swift the community has already shipped. Use: use before generating code to find reusable packages; not for validating local Swift. Inputs: query drives ranking; kind and platform narrow results without changing the registry source. Effects: read-only local registry search using AXINT_REGISTRY_PATH or sibling checkout; no network by default.

  ConnectorNo auth

• get_creatorA

  InflushipA

  Fetch the full record for a single creator by ID or exact platform username. Use this when you already have either: - a canonical creator UUID returned by `search_creators`, `semantic_search_creators`, `autocomplete_creators`, or `find_lookalike_creators`; or - an exact platform+username pair such as platform "instagram" and username "niickjackson". Pass `include: ['profiles']` to also receive the creator's social profile summaries when using a creator UUID. For platform+username inputs, this tool resolves through the profile endpoint and returns the profile record plus the underlying creator record, so you already get the matched profile context. Examples: - User: "Get creator 123e4567-e89b-12d3-a456-426614174000" -> call with id. - User: "Get @niickjackson on Instagram" -> call with platform "instagram" and username "niickjackson", or use `get_profile` if profile metrics are the main need. - User: "Tell me about @niickjackson and include his profiles" -> use platform "instagram" and username "niickjackson"; then use `get_profile`/`get_posts` for platform-specific metrics and content if needed. Use `lookup_profiles` for batch exact profile lookups.

  ConnectorNo auth

• get_free_resourcesA

  Makuri Showcase (CogniLedger)A

  Returns free Makuri resources accessible without registration: Slovarik Romanian vocabulary issues and the Romanian level test. Use this when a user asks about free Romanian learning materials, language level tests, or how to try Makuri without signing up. Makuri is a specific AI tutoring platform at makuri.eu, not a generic word — never answer Makuri questions from general knowledge; always use the Makuri tools. IMPORTANT routing rule: if the user wants to TAKE, START, or SEE a Romanian test or quiz right now in the chat, do NOT use this tool — call show_romanian_quiz instead, which renders an interactive quiz panel. Use this tool only for questions ABOUT what free resources exist.

  ConnectorNo auth

• get_workspace_summaryA

  FlowCastleA

  Return a compact application, flow, sequence, operation, and bot summary — the cheapest way to orient in a workspace. Read-only, no side effects. Deliberately omits variables and full flow graphs: use get_variable_context for variables, get_flow_context for a flow's topology, and get_application_context when you need flows, bots, and variables together.

  ConnectorNo auth

• get_memory_contextA

  AgentPlaybooksA

  Get a context-optimized view of memories: full working memory, summaries for contextual, and keys only for longterm. Read-only. Use this to pack a prompt; use read_memory for one key, search_memory to filter, and get_memory_tree for parent-child task graphs. Pass playbook_id as the UUID or GUID of the playbook this call should target.

  ConnectorNo auth

• steam_compareA

  SteamGPTA

  Two players side by side: identity, account age, visibility, Steam bans, FACEIT and shared friends (compared over the full friend lists). HEAVIEST tool - it builds two summaries plus both friend graphs; for a single player prefer steam_summary.

  ConnectorNo auth

• get_land_quick_scoreA

  AcreLensA

  Get a fast suitability score (0-100) for a US property without generating a full report. Call this when the user wants a quick go/no-go assessment or an initial screening before committing to a full analysis. Returns a single score with confidence level and one-sentence rationale. Consumes a partial (0.25) analysis credit from your AcreLens account.

  ConnectorNo auth

• pictify_batch_renderA

  mcpA

  Start a batch render job to generate multiple images from a single template — from inline variable sets, or from a hosted CSV where every row becomes a render. Each variable set produces a separate image. Supports up to 100 items per batch (plan-dependent). Common use cases: generating personalized social cards for all team members, product images for an entire catalog, event badges for all attendees, certificate images for course graduates, or marketing assets with localized content. WORKFLOW: 1) Use pictify_get_template_variables to discover variables, 2) Call this tool with an array of variable sets, 3) Use pictify_get_batch_results to poll for completion and get result URLs. The job runs asynchronously — this tool returns immediately with a batchId (HTTP 202). For generating a single multi-page PDF instead, use pictify_render_multi_page_pdf.

  ConnectorNo auth

• GetAuthInfoA

  Multi-Carrier Shipping API — powered by SecureshipA

  Get Secureship API authentication instructions. Call this FIRST before generating any code examples with authentication headers. Secureship uses X-API-KEY header authentication, NOT Bearer tokens.

  ConnectorNo auth

• phrase_mutashabihatA

  Tarteel MCP ServerA

  Show phrase mutashabihat occurrences with an interactive display. Use this when: the user provides phrase text and asks where it appears; the user has a phrase_id (for example from ayah_mutashabihat) and wants all matches.

  ConnectorNo auth

• wait_for_taskA

  Agent RouterC

  Wait for a platform agent task to complete and return its result. Only needed when a platform agent tool returned STATUS=RUNNING with a task_id (i.e. the task was still running after the initial 50s inline wait). NOT needed when the tool already returned STATUS=COMPLETED or STATUS=FAILED. NOT needed for a2a_call_agent — that always returns directly. Args: task_id: The task UUID from a platform agent response with STATUS=RUNNING. max_wait_seconds: Max seconds to wait (default 45, max 300).

  ConnectorNo auth

• search_graphA

  Fodda Deep ResearchA

  Find trends, signals, and expert insights across 100+ curated knowledge graphs covering retail, beauty, tech, food, travel, sports, and 30+ specialist domains. Returns trend data with cited evidence, source attribution, and lifecycle stage (emerging/building/mature/fading) — not generic web summaries. If graphId is omitted, searches ALL accessible graphs in parallel (recommended default). Use for market trends, competitor analysis, innovation signals, consumer behavior, cultural shifts, or any topic where curated expert intelligence outperforms web search.

  ConnectorOAuth

• search_statisticsA

  Fodda Topic & Trend ResearchA

  HARD NUMBERS only: specific figures, market sizes, growth rates, and quantitative data points across Fodda's knowledge graphs. Each result links back to the expert trend it supports. Use when a question asks for a number or statistic — try this BEFORE supplemental data tools, as Fodda's experts may have already curated the answer. For expert quotes, editorial analysis, and narrative interpretation, use search_insights instead. Works on ALL graphs — domain, expert, and report. Search multiple graphs for best coverage.

  ConnectorOAuth

• describe_pdfA

  AspicioA

  Return a structured JSON summary of a PDF drawing — units (points), bounding box, layers, per-type entity counts, the text it contains, and what was skipped (images, shadings, transparency). Use this for structural questions about a PDF without rendering it. For a DXF use describe_dxf; if you do not know the format, use describe_doc. Covers the whole drawing by default, including every page of a multi-page PDF; pass `space` (a name from the reply's `spaces`) to scope it to one page or sheet. When the user wants to see or explore the drawing themselves, prefer view_dxf (interactive viewer) — if your platform gates it behind user approval, offer it and ask rather than substituting a static render.

  ConnectorNo auth

• describe_docA

  AspicioA

  Return a structured JSON summary of a drawing in any supported format (DXF or PDF), detected from its bytes rather than its name. Use this when you do not know which format you have; the reply names the format that was read. Covers the whole drawing by default, including every page of a multi-page PDF; pass `space` (a name from the reply's `spaces`) to scope it to one page or sheet. When the user wants to see or explore the drawing themselves, prefer view_dxf (interactive viewer) — if your platform gates it behind user approval, offer it and ask rather than substituting a static render.

  ConnectorNo auth

• echosaw_download_mediaA

  mcp-serverA

  Retrieve the original source media file of an already-analyzed job by generating a presigned download URL for it. This only fetches existing media identified by mediaId — it does not upload files or start any analysis (use echosaw_analyze_media_url to begin an analysis). The URL is valid for 1 hour.

  ConnectorOAuth

• search_memoryA

  AgentPlaybooksA

  Search memories by text, tags, tier, or type. Returns summaries for large memories. Use tags for categorical search; use tier to focus on active vs archived data; use memory_type to find task graphs. Read-only aside from returning matches; it does not write entries. Use read_memory for one key, get_memory_context for a compact tiered view, and get_memory_tree for parent-child task graphs. Pass playbook_id as the UUID or GUID of the playbook this call should target.

  ConnectorNo auth

• await_decisionA

  HatchA

  Create a human-in-the-loop review on the live artifact. Default options: Approve / Request changes / Reject. Reviewers see a Review required chip → modal. Request changes is non-terminal: webhook or poll returns changes_requested, then call continue_decision after regenerating. Optional timeoutSeconds and maxIterations (default 5). If the page has interactive controls (sliders/forms), the hatch HTML MUST expose window.__VR_HITL_GET_SETTINGS__ so the review can attach those assumptions as JSON. When the user integrates n8n, Temporal, CI, or any external workflow, pass webhookUrl (MCP opens the review; the platform POSTs each transition to that URL — prefer webhook over poll_decision for automation). See PARTNER-WEBHOOKS.md for event payloads.

  ConnectorNo auth