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756,931 tools. Updated 2026-11-07 19:25

"Tools or software for generating charts and graphs" matching MCP tools:

  • Check the build status of an EXISTING artifact (from artifact-create). Read-only. Generation is asynchronous, so this is how you find out it finished. Call it with { sessionId, wait: true } and it WAITS for you: the call returns as soon as status is 'ready' or 'failed', or after about 45 seconds still 'generating'. Then, you can call it again. This tool is meant to be called right after artifact-create, before replying to the user, and keep getting called until status is no longer 'generating'. ONLY when you want an instant snapshot, this tool can be called without wait (or false); the idea is to never spin on wait: false. Requires sessionId — the id returned by artifact-create (or the last path segment of an artifact URL like https://app.agentgrid.io/artifacts/<sessionId> or https://dev.animaapp.com/chat/<sessionId>). **Returns:** { success, sessionId, status: 'generating' | 'ready' | 'failed', progress (0–100, while generating), name, artifactUrl (generating/ready only), playgroundUrl (app and knowledge artifacts only, generating/ready only), previewUrl (app, knowledge and markdown artifacts only, generating/ready only), error (when failed), nextStep (when a wait returned still generating) }
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  • Score how likely Amazon's AI (Rufus, COSMO) is to recommend a listing. Free, deterministic, rule-based check on pasted listing copy (title, bullets, description). Returns a compliance health score, an AI-readability score, and a combined AI Recommendation Readiness Score (compliance * 0.55 + readability * 0.45) with actionable suggestions. Use this as a fast baseline BEFORE generating or editing a listing. Do NOT use it for a full compliance report - use compliance_scan for the deep knowledge-base audit. Free, read-only, no API key required, no credits deducted. Args: text: raw listing title + bullets + description (required). marketplace: marketplace code, US/DE/ES/FR/IT/JP/AE/SA/UK (default US). lang: zh or en (default en). email: optional lead email for a confirmation message and lead capture.
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  • Search SaidItHere for real-world software dilemmas, framework gotchas, tool fatigue, and battle-tested community consensus workarounds from Reddit, Hacker News, GitHub, and Stack Overflow. Usage Guidelines: - Primary discovery tool: use FIRST when investigating bugs, library gotchas, unexpected price hikes, or developer complaints by keywords. - Sibling routing: follow up with 'get_problem(slug)' using the discovered dilemma slug to inspect full evidence quotes, sources, and step-by-step workarounds. - Sibling routing: if 0 matching dilemmas are returned, use 'suggest_dilemma' to queue the topic for crawler consensus synthesis. - Do NOT use for generic language syntax lookups or textbook documentation queries. Behavior & Side Effects: - Pure read-only, safe, and idempotent query without side effects. Does not modify user, session, or database state.
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  • Returns all VAT (Value Added Tax) rates for a given EU country — standard, reduced, intermediate, and super-reduced rates where applicable, as numeric percentages. Returns { country, standard, reduced?, intermediate?, superreduced? } for supported countries, or { error, available } listing all valid codes if the country is not found. Supports 18 EU member states: PT, ES, FR, DE, IT, NL, BE, PL, SE, DK, FI, AT, IE, GR, HU, RO, CZ, HR. Use when calculating EU cross-border invoice tax, determining correct rate for e-commerce checkout by customer country, generating compliant VAT breakdowns, or any workflow requiring accurate and current EU VAT rates per jurisdiction.
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  • 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.
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  • 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.
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Matching MCP Servers

  • A
    license
    Not graded
    quality
    C
    maintenance
    Serves a central playbook hub that provides situational guidance to LLM agents, lets clients list available playbooks, fetch procedural guidance, and apply graph mutations for persistent self-evolution.
    MIT

Matching MCP Connectors

  • Read-only market charts, OHLC, backtests and a view of your connected broker accounts

  • Energy-Charts (Fraunhofer ISE) MCP — European electricity generation, prices, and capacity.…

  • Returns the Jaimini layer of one birth chart: the upapada lagna (UL, the classical marriage anchor) with its sign, lord and cited reading, all twelve arudha padas (A1-A12) with sign and life domain, the eight charakarakas (Atmakaraka, Amatyakaraka and the rest) with the graha holding each, and the karakamsha lagna. The result also lists the classical texts the upapada reading is cited from. Use this only when Jaimini terms are asked for by name -- upapada, arudha, charakaraka, karakamsha -- or for marriage questions read the Jaimini way. The Parashari layer (grahas, houses, dasha, yogas) is in get_janam_kundali; get_kundli_match is the tool for scoring two charts against each other. Read-only deterministic computation (Swiss Ephemeris, Lahiri ayanamsa); no writes, no auth. Rate limits are counted per server instance: at least 30 requests/min/IP on this endpoint, plus a shared engine budget of at least 60/min/IP across all birth-chart tools. If the engine cannot attach the Jaimini layer the result comes back with partial: true rather than with invented values.
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  • List the 23 divisional (varga) charts available via 'get_divisional_chart'. Returns, for each chart, the 'request_as' value to pass as the 'varga' argument (e.g. 'D-9'), its 'name' (e.g. Navamsa) and 'purpose' (what life area it analyses — marriage, career, children, etc.). Use this to choose the right chart for a question, then call 'get_divisional_chart' with that varga. Takes no birth details. Data only — no interpretation is included.
    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.
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  • Quick pre-publish compliance gate before generating a listing. Fast, free scan for obvious red-line words and category risks. Returns a shallow pass/fail-style result, not a full audit. Use this as a cheap pre-check right before generation. Do NOT use it for a complete risk report - use compliance_scan for the deep knowledge-base audit. Read-only; requires an API key; no credits deducted. Args: text: listing copy (required). lang: zh or en (default en). category: optional category hint, e.g. electronics or apparel.
    ConnectorNo auth
  • Record the user's body weight, body-fat % or circumferences for one day, when the user states a current measurement. Training goes to log_session, and measurements are read back with get_body_metrics. The app's weight tile and charts and the coaching context read these entries, not the profile's bodyweight field. One entry per date, and recording the same date again ADDS to it: fields left out keep their stored value, new `measurements` or `custom_fields` keys join the existing ones, and a repeated key or field is overwritten, which is how a wrong number is corrected. A field sent as null is cleared. Returns the whole stored entry for that day. There is no delete.
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    Destructive
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  • 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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  • Start generating hero image variants for an idea's ad. Runs in the background. Args: - ideaId (string) - prompt (string, optional): defaults to the idea's saved image prompt Returns: { job: { id, status, prompt, variantCount, results }, note }. Poll idealaunch_get_image_job until status is 'succeeded', then choose one with idealaunch_apply_hero_image. Consumes one of the idea's AI generation turns. Costs no Ad Run credit.
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  • Read a revision's scene from its stored structured summary — synchronous, no container. detail: summary | objects | materials | render | cameras | lights | stats | full. Use "cameras" to get camera ids for render_create cameraId, "lights" for the rig with energies, and "stats" for per-object vertex/face counts, UV presence and modifier stacks. Filter with objectIds, or with namePattern/excludeNamePattern — namePattern is how you turn the `namePattern` a copying operation reports (object.radial_array, object.array_along_curve) back into the full list of ids it created. limit/cursor page the requested entity type. In full mode each included collection uses the same offset/limit; nextCursor continues while any collection has more rows. Object filters affect objects, cameras and lights; materialIds independently filters materials. For exact node names, links and packed image bindings request includeNodeGraphs with detail=materials/full and one materialId or limit=1. Graphs are omitted by default; legacy or partial summaries explicitly report availability. All positions and sizes are metres (1 unit = 1000 mm).
    ConnectorAPI key
  • Use this when the user requests the latest Market Update show, its desk briefing or chapters, e.g. 'What did today's show cover?'. Do not use for live market rankings (research_markets), an arbitrary historical show, Daily News or full archive search. Selection: No arguments: selects the latest actually published edition, which may not be dated today. Use its actual publication time. Presentation: Published briefing and chapter visuals. Refer to the relevant chapter and exact playback link; do not claim video is playing or embedded unless the host confirms it. Evidence: Use /edition and its named children for exact published text/charts. Show figures belong to that edition, not the current market.
    ConnectorAPI key
  • Host a self-contained HTML page at a stable, default-private, shareable URL — the Artifact experience, in-app. Pass **exactly one** of: - `html` — the full page: your `<body>` plus any `<style>`/`<script>`. Unlike documents.create, the page is served **live** (JavaScript runs), so charts, interactivity, and small tools work. - `file_id` — a workspace file whose contents are already the HTML page. - `analytics_card_ids` — ids of saved analytics dashboard cards; the platform re-runs their queries and composes one designed report page (static charts, snapshot at build time). Best way to give someone a shareable analytics report. The page runs in a locked-down sandbox: a dedicated origin + a strict CSP. That means it is **fully self-contained** — it CANNOT call out to the network (`fetch`/XHR/WebSocket are blocked) or load anything from a CDN. Inline all assets: CSS/JS inline, images/fonts as `data:` URIs. Draw charts yourself as inline SVG (no external chart library). `access_level` defaults to `'private'` (viewable only in-app). Set `'shared'` to make the unguessable link itself the capability (anyone-with-link). You can flip this later with artifacts.set_access. Returns `{artifact_id, slug, url, app_url, version, access_level}`. `app_url` always opens for workspace members, in the app. `url` is the public link and is set ONLY for a shared artifact (a private one has no public page: handed out bare, the public link answers "not available"). Republish with artifacts.update — both links stay the same.
    ConnectorAPI key
  • Host a self-contained HTML page at a stable, default-private, shareable URL — the Artifact experience, in-app. Pass **exactly one** of: - `html` — the full page: your `<body>` plus any `<style>`/`<script>`. Unlike documents.create, the page is served **live** (JavaScript runs), so charts, interactivity, and small tools work. - `file_id` — a workspace file whose contents are already the HTML page. - `analytics_card_ids` — ids of saved analytics dashboard cards; the platform re-runs their queries and composes one designed report page (static charts, snapshot at build time). Best way to give someone a shareable analytics report. The page runs in a locked-down sandbox: a dedicated origin + a strict CSP. That means it is **fully self-contained** — it CANNOT call out to the network (`fetch`/XHR/WebSocket are blocked) or load anything from a CDN. Inline all assets: CSS/JS inline, images/fonts as `data:` URIs. Draw charts yourself as inline SVG (no external chart library). `access_level` defaults to `'private'` (viewable only in-app). Set `'shared'` to make the unguessable link itself the capability (anyone-with-link). You can flip this later with artifacts.set_access. Returns `{artifact_id, slug, url, app_url, version, access_level}`. `app_url` always opens for workspace members, in the app. `url` is the public link and is set ONLY for a shared artifact (a private one has no public page: handed out bare, the public link answers "not available"). Republish with artifacts.update — both links stay the same.
    ConnectorAPI key
  • Host a self-contained HTML page at a stable, default-private, shareable URL — the Artifact experience, in-app. Pass **exactly one** of: - `html` — the full page: your `<body>` plus any `<style>`/`<script>`. Unlike documents.create, the page is served **live** (JavaScript runs), so charts, interactivity, and small tools work. - `file_id` — a workspace file whose contents are already the HTML page. - `analytics_card_ids` — ids of saved analytics dashboard cards; the platform re-runs their queries and composes one designed report page (static charts, snapshot at build time). Best way to give someone a shareable analytics report. The page runs in a locked-down sandbox: a dedicated origin + a strict CSP. That means it is **fully self-contained** — it CANNOT call out to the network (`fetch`/XHR/WebSocket are blocked) or load anything from a CDN. Inline all assets: CSS/JS inline, images/fonts as `data:` URIs. Draw charts yourself as inline SVG (no external chart library). `access_level` defaults to `'private'` (viewable only in-app). Set `'shared'` to make the unguessable link itself the capability (anyone-with-link). You can flip this later with artifacts.set_access. Returns `{artifact_id, slug, url, app_url, version, access_level}`. `app_url` always opens for workspace members, in the app. `url` is the public link and is set ONLY for a shared artifact (a private one has no public page: handed out bare, the public link answers "not available"). Republish with artifacts.update — both links stay the same.
    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
  • Browse PRE-COMPUTED causal impact graphs (event → sectors → stocks). Thousands of these already exist. Reading one is instant and free, whereas `analyze_event_impact` runs a fresh LLM pass and costs credits, so a stored graph is the cheaper path when one exists for the event. Filter by symbol or sector to find graphs where that name is a node.
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  • Read the content of ONE named file from a GitHub repository - 'path' is required and names that file. To see what a repository or directory CONTAINS, call github_list_repository_files instead (its 'path' is optional). Prefer the exact owner from github_list_repositories; 'repo' also accepts the combined 'owner/name' form. Use this to inspect Dockerfiles, package.json, CI configs, Helm charts, source code, and other text files. Refuses to read known sensitive files (.env, private keys, etc.).
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