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458,339 tools. Updated 2026-08-16 14:13

"A framework for building cross-platform apps with Flutter" matching MCP tools:

  • Discover the investment-thesis catalog. Each entry is a descriptive case study that pairs an economic framework with a rule-based portfolio and the synthetic + historical stress evidence for that allocation. Returns one compact summary per thesis (slug, title, one-liner, tags, risk tiers, framework summary, headline finding). Call get_investment_thesis(slug) for the full framework / portfolio / stress evidence, or read the thesis://{slug} resource. Descriptive, not advisory — the agent decides what is suitable.
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  • 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.
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  • Recommends business / strategy / risk frameworks for a stated problem. Powered by the Jeda.ai · Visual AI framework knowledge graph (~2,100 frameworks across 19 categories, edge-curated). Use when the user describes a business problem ("customer churn rising", "evaluating market entry", "need to assess vendor risk") rather than naming a specific framework. Returns top-N frameworks ranked by fit, each with a concrete reason citing the specific problem signals matched. Input: just the problem statement is enough. Optional faceted filters (`persona`, `regulation`, `decision_stage`) narrow the candidate set. Set `limit` between 3 and 10 for picker UIs. Pair with `generate_framework_analysis` to actually run a recommended framework against the user's inputs. Example: { "problem_statement": "We need to decide whether to enter the EU SMB market in Q3", "decision_stage": "decide", "limit": 5 }
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  • Returns the current platform-enforced cart limits: `max_item_quantity` (per-line-item ceiling), `max_cart_total_cents`, and `max_cart_total_usd`. Call this once at session start before building a large cart so you can quote limits to the buyer proactively rather than discovering them via errors. The limits are operator-configurable; always read them at runtime rather than hardcoding.
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  • Search Australian (currently NSW) builders, contractors and building companies by name; optionally filter by postcode. Returns matching entities with their licence status and a slug to pass to get_builder_risk / get_builder_timeline. Example: query='Acme Building' → '- Acme Building Pty Ltd (Current), 2099 → slug: acme-building-pty-ltd-1a2b'. Names are matched loosely, so try the trading name AND the legal (Pty Ltd) name if the first search misses. Query must be at least 2 characters.
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  • List Bill Commons' curated cross-state topic trackers (e.g. artificial intelligence, youth online safety, platform accountability, cybersecurity, cryptocurrency, data privacy, local government & preemption) -- the entry point for "what subjects does Bill Commons track across all 50 states + DC" and "how do I get every bill in one". Each topic is a title/subject membership rule tuned for precision over recall, with a live bill_count and how_to_fetch_bills. This tool does not itself return bill rows -- pair it with search_legislation or the REST API's /topics/{slug} for the bills.
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Matching MCP Servers

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    A framework for building MCP servers with built-in enterprise capabilities such as authentication, authorization, telemetry, audit logging, and data classification, allowing domain developers to focus on business logic while maintaining governance and compliance.
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    Enables comprehensive filesystem operations across Linux, macOS, and Windows with platform-aware command execution, secure path restrictions, and intelligent adaptations for file search, directory management, and shell commands specific to each operating system.
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Matching MCP Connectors

  • Fresh US building permits with contacts from official city APIs. Construction lead generation.

  • Cross-border duty-rate and Trade & Tariff content lookups with product compliance and restrictions

  • Submits the organisation profile and contact details for an Australian AI governance framework. The profile determines which legislation the framework identifies, so the answers should reflect the organisation's actual circumstances — turnover in particular, since the Privacy Act's small business threshold sits at $3 million and several categories are caught regardless of turnover. Takes the session ID from start_australian_ai_governance_framework together with the questionnaire answers. Writes the profile against the session and stores the supplied name, email and organisation as a contact record. Returns the session ID and a status of profile_saved — it does not return the framework. Call get_ai_governance_framework next to retrieve it. Safe to call again on the same session: the profile is overwritten rather than duplicated, and the contact record is keyed on the email address. Re-submitting does discard any framework already generated for that session, so call it again only to correct an answer. No authentication, and no charge at this step.
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  • 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.
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  • Render a property's lot as an interactive UI component (inline SVG): a City of Portland aerial photo underlay (showing the true roofline) with the parcel outline, the building footprint(s) on the lot, approximate setback dimensions, a north arrow, and faint neighbouring parcels overlaid on top. Provide a detailType+detailId to fetch geometry, or pass rings directly. Aerial, footprints, and neighbours come from Portland's public ArcGIS layers; set basemap="none" to drop the photo and includeContext=false for just the bare outline. Renders in MCP Apps hosts (Claude) and legacy mcp-ui hosts.
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  • Return the Wheel of Heaven interpretive framework's reading of a topic — explicitly the project's own Raëlian-canon-centred position, NOT mainstream consensus. Accepts a framework topic (overview, hypothesis, terminology, timeline, sources, method) for the curated narrative documents, or any other term to get the framework reading from the closest wiki entry. Use fact-layer tools (get_passage, compare_traditions) for source-grounded data without this framing.
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  • List the apps in your Dockhold account, with each app's id, status, URL, and source repo. Call this first whenever the user asks about their apps, or when you need an app_id for any other tool.
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  • Per-country digital-money & identity progress relevant to wealth planning: (1) CBDC status (none/researching/exploring/pilot/launched) + type (retail/wholesale) and issuer; (2) government-issued or government-sanctioned STABLECOIN status + regulatory framework (e.g. MiCA, MAS, GENIUS Act); (3) national DIGITAL ID status (planned/piloting/operational/mandatory), legal framework, biometric/mobile, cross-border interoperability (eIDAS/EUDI) and privacy law. Each block carries provenance (confidence, verified_date, official sources); low-confidence detail is withheld as CHECK-OFFICIAL-SOURCE. Pass cc for one jurisdiction, omit for all. INFORMATION, NOT ADVICE — government status/timelines change frequently; verify the cited source.
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  • Start here when building an application. Returns an overview of what the AdCritter platform offers and a catalog of feature guides you can query with the adcritter_guidance tool to learn how to build each part of the app. Call adcritter_guidance(key) for any feature area to get detailed building instructions with API endpoints and response shapes.
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  • Returns the current platform-enforced cart limits: `max_item_quantity` (per-line-item ceiling), `max_cart_total_cents`, and `max_cart_total_usd`. Call this once at session start before building a large cart so you can quote limits to the buyer proactively rather than discovering them via errors. The limits are operator-configurable; always read them at runtime rather than hardcoding.
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  • Search SocialFetch docs for API/SDK questions. For response fields use docs_read (defaults to outline). For cross-platform author/timestamp naming, search `field crosswalk` or read /product/ask-ai/field-crosswalk.
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  • 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).
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  • List all 16 suites in the SaferAgenticAI framework (9 drivers + 7 inhibitors) with subgoal counts and titles. Call this first to orient.
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  • Splits a free-form Turkish address into neighbourhood, street, building, floor, flat, district, province and postcode. Handles the abbreviation chaos (Mah./Mh., Cd./Cad., Sk./Sok., No:12/5, K:3 D:7), cross-checks the province against the postcode, repairs misspelled district names against a dictionary, and returns a confidence score. Anything it could not place is listed in `unparsed` — nothing is dropped silently. Built for shipping, checkout and CRM systems that receive Turkish addresses typed by humans.
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  • Resolve a single Apple app by bundleId (e.g. com.burbn.instagram), or fetch many apps at once with a comma-separated ids batch (Apple up to ~200 ids in one round-trip; Google fans out and coalesces). A batch request returns an "apps" array; a bundleId request returns a single "app". Supports store="both" for batch lookups.
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  • Call this when the user asks whether leverage is entering or leaving the market, about open interest changes, or whether longs or shorts are building in a major coin. Returns 5-minute-resolution OI with 24h OI and price deltas and a four-regime read per symbol: longs building, shorts building, long squeeze, short squeeze, or quiet.
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