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521,191 tools. Updated 2026-09-06 10:36

"Improving Cursor Functionality with Structured Plans and Multi-Step Tasks" matching MCP tools:

  • List subscriptions with optional filters (customer, address, status, ids, created/updated date ranges) and sorting. Returns { subscriptions }. Pagination is cursor-based: pass `limit` (default 50, max 250) and read `next_cursor` / `previous_cursor` from the response. IMPORTANT: when paging with `cursor`, Recharge accepts ONLY `limit` alongside it — omit every other filter on cursor requests. Recharge REST: GET /subscriptions.
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  • Simulate long-term compound interest growth for retirement portfolios, 401(k)s, Roth IRAs, UK ISAs, or European ETF savings plans (Sparplan) with recurring monthly deposits. Behavior: Deterministic, idempotent calculation with zero external side effects. Applies discrete compound interest formula with periodic annuity deposits: Future Value = P*(1 + r/n)^(n*t) + PMT*(((1 + r/n)^(n*t) - 1)/(r/n)). Returns final accumulated balance, total principal contributed, total compound interest earned, and annual wealth progression milestone table. Usage Guidelines: Use for multi-year personal wealth projection and retirement nest-egg simulations. Do not use for Indian mutual fund monthly SIPs with annual step-up; use sip_investment instead.
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  • Use this when the user explicitly asks to create or modify multiple Familia tasks, list tasks, plans, or task attachments in one request, or when one prompt contains multiple standalone dated actions that should become separate tasks. When the same task or plan repeats, use repeatRule/rrule on one operation instead of creating duplicate one-time operations. For a main event/trip plus clearly related dated actions, prefer one create_plan operation with relatedTasks. Internally this runs bounded individual write operations one by one; it does not create a backend transaction.
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    Destructive
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  • INSPECT-ONLY — returns the plan WITHOUT running it. For a real multi-step DC Hub question call `execute_plan(intent="...")` instead: it uses the SAME deterministic no-LLM planner and then RUNS the sequence server-side, returning the answers in one envelope. Reach for plan_query only to review, log, diff or audit a plan before executing it yourself. Deterministic keyword routing over the tool registry — no LLM, no network, same intent always returns the same plan (free). Returns _entity=query_plan {best_tool, intent_confidence + workflow_confidence (dual 0-1: question-read vs executability), reason, planner_rationale, recommended_sequence:[{step, tool, depends_on, estimated_calls, why, args_hint}], execution_waves (steps grouped into concurrency waves), execution_strategy.parallel_groups, execution_estimate {estimated_calls, estimated_latency_ms, parallelizable}, alternatives (each with when + rejected_because), coverage_notes, matched_classes} plus a versioned `replay` (schema_version 1): planner_version, decisions:[{id, step, kind, status, decision, rationale, decision_confidence, depends_on}], rejected:[{id, tool, reason}], execution_graph:{waves, parallel_groups} — auditable and machine-readable, safe to log and diff across versions. args_hint values in <angle brackets> come from the named earlier step — substitute them, never invent them. Pass structured hints via context (lat/lon, iso, market, capacity_mw, candidate_id, state, since) to sharpen the plan. For a family-level browse use discover_tools. This tool plans — it never executes; tools/list stays canonical for schemas.
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  • Returns trimmed Code IQ automated analyses (architecture, scalability, EOL, AI functionality, etc.) for a project (aggregated) or a single vault. Excludes The Code Score — use get-the-code-score for that, and do not pass analysis_key=code_score here (404). Only cached results are returned; this never triggers a fresh analysis. Provide exactly one of project_id or vault_id. Requires full data access (a paid plan; verification-only plans are not included). Requires X-API-Key (existing users can generate an API key in the web app). If headers aren't supported, pass api_key in arguments.
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  • Search across all indexed FlexOrch datasets by keyword or meaning. Use this to find specific documents or records without processing a new file. Requires at least one dataset to exist. Structured search works on all plans. Semantic and hybrid modes require a Pro plan — a clear upgrade message is returned if the plan is insufficient. mode='auto' picks structured on free plans, hybrid on Pro+. Args: query: Search query — natural language or keyword. Max 1000 characters. top_k: Number of results to return. Default: 5, max: 50. mode: Search strategy — auto (default), structured, semantic, hybrid. semantic and hybrid require Pro plan. document_type: Filter to a specific document type, e.g. invoice (optional). language: Filter by document language, ISO 639-1 code, e.g. en, de, tr (optional). quality_grade: Filter by quality grade: A, B, C, or D (optional).
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Matching MCP Servers

  • A
    license
    Not graded
    quality
    D
    maintenance
    MCP server providing managed persistent memory for AI agents. Read and write structured state across sessions, tools, and restarts at 1000+ requests per second, with no infrastructure to self-host or operate.
    2
    Apache 2.0
  • A
    license
    Not graded
    quality
    C
    maintenance
    Enables conversational creation and editing of STEP CAD models through MCP clients like Codex, Claude, or Cursor, with real-time 3D browser preview and tools for primitives, booleans, mounting holes, flanges, and gripper bases.
    MIT

Matching MCP Connectors

  • Recurring agent jobs that run on our servers and ping you only when the result changed.

  • Zoom Tasks server for creating, updating, assigning, and synchronizing task workflows.

  • List the most recent plans for an authenticated user. Returns up to `limit` plans (default 10, max 50) newest-first, each with plan_id, state, progress_percentage, created_at (ISO 8601), and a prompt_excerpt (first 100 chars). Use this to recover a lost plan_id or to review recent activity.
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  • List available Disco plans with pricing. No authentication required. Returns all available subscription tiers with credit allowances and pricing. Use this to help users choose a plan.
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  • AI Music Generator — Generate royalty-free instrumental background tracks from text descriptions. No vocals — perfect for video, podcast, and ad backgrounds. For songs with vocals + lyrics, see AI Song Generator.. AI Studio run — dispatches to our AI workers (Modal). Credits per run vary by model and file size. Day Pass and welcome credits do not include AI Studio. Files are deleted after processing; auditable at mioffice.ai/account/tasks (retention details at mioffice.ai/privacy). All three credit-based workspaces unlock with the same one-time credit pack — there is no per-workspace subscription. See mioffice.ai/pricing for current plans.
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  • AI Melody to Music — Upload a clean single-instrument recording and AI generates instrumental music in your style. No vocals — for songs with vocals, see AI Hum to Song or AI Song Generator.. AI Studio run — dispatches to our AI workers (Modal). Credits per run vary by model and file size. Day Pass and welcome credits do not include AI Studio. Files are deleted after processing; auditable at mioffice.ai/account/tasks (retention details at mioffice.ai/privacy). All three credit-based workspaces unlock with the same one-time credit pack — there is no per-workspace subscription. See mioffice.ai/pricing for current plans.
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  • AI Document Translator — Translate text between 16 languages using AI. AI Studio run — dispatches to our AI workers (Modal). Credits per run vary by model and file size. Day Pass and welcome credits do not include AI Studio. Files are deleted after processing; auditable at mioffice.ai/account/tasks (retention details at mioffice.ai/privacy). All three credit-based workspaces unlock with the same one-time credit pack — there is no per-workspace subscription. See mioffice.ai/pricing for current plans.
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  • Read-only. Use to query Dreamlit analytics for overview metrics, notification rows, recipient engagement, or workflow run rows with filters, sorting, and cursor pagination. Returns bounded structured analytics data, effective query metadata, pagination details when rows are included, and relevant app URLs. Do not use for CSV exports, bulk dumps, workflow edits, publishing, or low-level database access.
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  • List premium plans with live USD + sats pricing. Returns ``plans`` (each with ``period``, ``price_usd``, ``price_sats`` — a live quote, null when the price oracle is down — and ``period_days``) plus ``program_enabled``. Requires authentication.
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  • Search prepaid travel eSIM data plans by destination country (ISO 3166-1 alpha-2, e.g. "JP"), region (e.g. "Europe"), minimum data in GB, maximum total price, or plan duration in days. Plans come in three coverage types: "country" (one country), "regional" (a named multi-country area such as "Europe+" or "South East Asia"), and "global" (worldwide). A country filter matches every plan that covers it, of any coverage type — so searching country="FR" returns France-only plans alongside the Europe and worldwide plans that include France. For a trip through several countries, filter coverage_type="regional" or "global" to get one eSIM for the whole route; for a single-country trip a "country" plan is usually cheapest. Returned price is the final amount the customer pays at checkout (all fees included), in the requested currency. To buy: call create_checkout_link with the plan id, give the returned URL to the user. After payment the eSIM (QR code + activation link + manual codes) is emailed to them automatically — no account needed.
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  • Return the delta feed for the world named by your API-Key header: every element created/updated (`op: "upsert"`, full body) or deleted (`op: "delete"`) since `since_cursor`, in apply order, in pages of `limit` (default 25, max 1000). Entries carry FULL element bodies — a default page stays inside any client's token budget; measured worlds ran ~1.5-2k chars PER ENTRY, so raise `limit` only if you truly need bigger pages, and prefer paging with the cursor. Omit `since_cursor` (or pass "") to start from the beginning of the feed — for a big world that is a multi-page walk, not one response. Pass the returned `cursor` back as `since_cursor` to get the next page (or, later, only what changed since); treat the cursor as OPAQUE. `has_more` true means page again with the new cursor. Requires a READ or WRITE API-Key. This mirrors `GET /api/v2/changes`.
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  • List Recharge products (subscription rules / discounts per product) with optional id filter. Returns { products }. Pagination is cursor-based: pass `limit` (default 50, max 250) and read `next_cursor` / `previous_cursor` from the response. IMPORTANT: when paging with `cursor`, Recharge accepts ONLY `limit` alongside it — omit every other filter on cursor requests. Recharge REST: GET /products.
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  • Multi-step cited research in one call: plans sub-questions, searches each, fetches and dedupes sources, then synthesizes an answer with inline [n] citations, key findings, and gaps. Unlike `research` ($0.08, one search + summary) this decomposes the question and cites every claim. SLOW: a standard run takes ~30-60 seconds — use a generous client timeout and do not retry on timeout. Price: $0.20 standard (3 sub-questions, 8 sources) / $0.35 deep (5 sub-questions, 12 sources)
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  • Search prepaid travel eSIM data plans for a destination — the SIM card / mobile data / roaming option for a trip. Use this first for any "data plan for my trip to X" request. Includes unlimited plans where the traveller picks the number of days, and fixed-data plans. Filter by unlimited vs fixed-data, minimum data, and validity. Unlimited plans are quoted per day, fixed-data plans as a one-off total — never compare those two numbers directly. The unlimited total is the per-day price × days, with a volume discount from 7 days, so pass days (trip length) to get that total quoted alongside the daily rate. Price differences between similar plans come from the routing IP country (routing_ip_country) and the supported networks (speed) — quote both when comparing plans. Results are grouped: fixed-data plans first, then unlimited; each group sorted by price. Returns variant_id values to pass to create_checkout.
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  • Create a Gantt chart from a task list — no account or API key needed. YOU author the plan: list the tasks in execution order with realistic working-day durations and dependencies (0-based positions of earlier tasks; use { task, type, lag } for start-to-start/finish-to-finish links or lag). Milestones have duration 0. Only add a dependency where a task truly needs another one finished - independent tasks should run in PARALLEL (share a predecessor, or take no dependencies at all and start at the project start). Group tasks into top-level phases for a structured plan/WBS: the phase task gets isPhase: true, its tasks get parent = the position of the phase. LoopGantt schedules it with its critical-path engine and returns a picture of the chart, the dates, the critical path and a link where the user can view, export (PNG/PDF) and save the chart. Always show the user the link. Tasks with a due date take deadline: YYYY-MM-DD (a marker - the reply reports the fit). Use create_gantt when the user wants a chart to open, export or save; use schedule_project instead for what-if date math where nothing should be stored.
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  • INSPECT-ONLY — returns the plan WITHOUT running it. For a real multi-step DC Hub question call `execute_plan(intent="...")` instead: it uses the SAME deterministic no-LLM planner and then RUNS the sequence server-side, returning the answers in one envelope. Reach for plan_query only to review, log, diff or audit a plan before executing it yourself. Deterministic keyword routing over the tool registry — no LLM, no network, same intent always returns the same plan (free). Returns _entity=query_plan {best_tool, intent_confidence + workflow_confidence (dual 0-1: question-read vs executability), reason, planner_rationale, recommended_sequence:[{step, tool, depends_on, estimated_calls, why, args_hint}], execution_waves (steps grouped into concurrency waves), execution_strategy.parallel_groups, execution_estimate {estimated_calls, estimated_latency_ms, parallelizable}, alternatives (each with when + rejected_because), coverage_notes, matched_classes} plus a versioned `replay` (schema_version 1): planner_version, decisions:[{id, step, kind, status, decision, rationale, decision_confidence, depends_on}], rejected:[{id, tool, reason}], execution_graph:{waves, parallel_groups} — auditable and machine-readable, safe to log and diff across versions. args_hint values in <angle brackets> come from the named earlier step — substitute them, never invent them. Pass structured hints via context (lat/lon, iso, market, capacity_mw, candidate_id, state, since) to sharpen the plan. For a family-level browse use discover_tools. This tool plans — it never executes; tools/list stays canonical for schemas.
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  • Use this when the user asks which Familia households, families, or shared boards are available. Includes member names and user ids for assigning tasks or plans. Do not use for listing tasks, plans, or calendar events.
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