"A scheduler that invokes an agent based on a predefined schedule" matching MCP tools:

• cairo-vesting

  OpenZeppelin Cairo Contracts

  Make a vesting smart contract that manages the gradual release of ERC-20 tokens to a designated beneficiary based on a predefined vesting schedule. Returns the source code of the generated contract, formatted in a Markdown code block. Does not write to disk.

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• list_investment_theses

  crashtestyourstrategy

  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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• set_schedule_rules

  My TV Channel

  Give the channel a durable schedule: fixed slots ("news at 18:00") and dayparts ("no kids content after 22:00"). The scheduler re-honours these on EVERY rebuild, so you set them once instead of babysitting the grid. **Pro tier or higher.** This REPLACES the entire ruleset — send every rule you want, not just new ones. Sending an empty array removes all rules and returns the channel to plain weighted-random. Validate first with validate_schedule_rules. Rule shapes: time_slot {rule_type:'time_slot', start_time:'18:00', end_time?:'21:00', days_mask:127, selector_type:'asset'|'tag'|'playlist', selector_value:<id|tag|[ids]>, priority?:0} daypart_weight {rule_type:'daypart_weight', start_time:'22:00', end_time:'06:00', days_mask:127, selector_type:'asset'|'tag', selector_value:..., weight_multiplier:0-10} days_mask is a bitmask: bit0=Mon … bit6=Sun. 127=daily, 31=Mon-Fri, 96=weekend. end_time on a time_slot makes it a BLOCK that keeps drawing from the selector until that time — that is how you get 'cartoons 06:00-09:00' rather than one cartoon. selector_type 'playlist' with an array of asset ids plays them IN ORDER. weight_multiplier 0 removes matching assets from that window entirely. Set `timezone` (IANA) or the times mean UTC, which is almost never what the owner meant. Slots start ON-OR-AFTER their time: the programme running into a slot is never cut short, so an 18:00 slot may begin at 18:02. That is intended.

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• register_derived_asset

  VarynForge

  Register a derived asset (LinkedIn carousel PDF, social post, video, image) produced from an article suggestion. Appends a distribution-ledger row so the suggestion shows everything it produced — the article plus its derivatives — for content-ROI reporting (get_article_suggestion returns them as derivedAssets). Pass `channel` (reels | youtube | x | linkedin) so the app can show per-channel distribution status; register again with a new URL for repeat posts on the same channel — every registration is kept. `scheduledFor` records a future post date from an external scheduler (Buffer etc.) for display only — VarynForge never posts on your behalf. Derivative rows never affect publish status or Search Console attribution; use mark_article_published for the article itself.

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• setup_scheduled_pull

  mcp-server

  End-to-end workflow for "pull files from this SFTP server / S3 bucket on a schedule" requests: reuses a matching connection if one already exists in the workspace (same hostname/username for sftp, same roleArn for aws_s3), otherwise creates one; tests it; then creates a trigger that feeds an already-analyzed data spec (see onboard_data_source) on the given frequency. Pass hostname for an sftp pull, or roleArn (+ s3Bucket, required) for an aws_s3 pull — exactly one of the two is expected. Use this instead of calling manage_connection + manage_trigger yourself for first-time setup. If the connection test fails (e.g. the sftp public key or the aws_s3 IAM role isn't set up yet on the customer's side), no trigger is created — ask the user to finish that setup and re-run this tool, which will reuse the same connection and pick up where it left off. This is for pulling a NEW file from an external source — for "run this on a schedule/after another job" where the spec queries tables already in the workspace (sourceType "tables"), use manage_trigger with type "schedule" or "spec_success" instead; there is no connection involved.

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• schedule_task

  Valuein — SEC EDGAR Fundamentals & Smart-Money Data

  Defer a follow-up task ("re-check AAPL margin compression in 30 days") for up to 90 days. This is an AGENT-facing primitive — call it mid-conversation/mid-run when you decide something is worth re-checking later; it is NOT a human-authorable "new task" form (use the Workspace's standing-agent scheduler for recurring, human-configured monitoring instead). On wake, an inbox item ALWAYS lands for the owner ("scheduled task due: …"). Optionally pass `context: {managed: true, team_id: "<standing_agent id>"}` to ALSO kick off a managed agent re-run at wake time — this is LIVE: it fires a real run of that standing-agent team, grounded in the saved context. It degrades to the inbox notice alone only if this deploy can't reach the run endpoint (report the actual outcome, never assume). Persisted durably in D1 — never lost on a Worker recycle. Tier: sp500+ (sample rejected).

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• eia_dataframe_describe

  eia-energy-mcp-server

  List canvas dataframes (df_<id>) materialized by eia_query_route calls that passed stage: true, with provenance, expiry, row count, and column schema. Nothing is staged until such a call runs, so an empty list on a fresh session means no query has staged yet, not that staging failed. Drops entries for dataframes the canvas no longer holds before responding, so the list is always current. Pass a specific name to inspect one dataframe; omit to list all active dataframes for this tenant. A name that is not staged comes back as found=false alongside the handles that are, never as an empty list. Listing is not use: only an eia_dataframe_query statement naming a dataframe extends its expiry, so a dataframe polled with this tool and never queried still lapses on schedule.

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• authenticate

  agentView

  Validates a JWT agent token and caches the identity on this MCP session so later calls work without resending it. Use only when your client cannot send an Authorization: Bearer header; prefer session_request_id-based auth via create_auth_session. Not needed after get_auth_session returned 'active'.

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• schwab_restore_credits

  schwab-mcp

  Credit a patron's ledger from a BTCPay-settled invoice. **RESTRICTED to the operator** — the operator owns the books and is the only party who can issue a manual credit grant. Patrons who believe they paid but never got credits must escalate to the operator's support, who then invokes this tool on their behalf. Use cases: cold-start vault races during check_payment, ncred delivery hiccups, patrons closing Top-Off sheets before settle, any infrastructure incident that left an invoice settled at BTCPay but uncredited on the operator's ledger. Idempotent — if the invoice is already credited (in the patron's ``credited_invoices``), returns success with credits_granted=0.

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• regenerate_schedule

  My TV Channel

  Rebuild the channel's schedule now using the current weights. Call this after changing weights on a channel that is ALREADY live, otherwise the change will not air until the hourly cron. Throttled to one call per channel per 5 minutes; exceeding that returns 429 with a Retry-After header giving the seconds remaining. Requires the channel to meet launch requirements.

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• save_agent

  Valuein — SEC EDGAR Fundamentals & Smart-Money Data

  Create or update a standing agent — a saved {goal + tickers + schedule} that fires either a fixed step recipe (agent_type="workflow", free/deterministic) or an AI-directed team (agent_type="autonomous", charged — settles against the owner's BYO key first, falling back to the managed wallet only if funded). Upsert semantics: omit `agent_id` to CREATE a new agent; pass an existing `agent_id` to UPDATE it. There is no separate update_agent — this does both, matching save_watchlist/save_thesis's house style. `agent_type` is STRUCTURAL and immutable: always required, and on an update it is verified against the existing agent before anything is changed — passing a different agent_type than the agent already has is rejected (delete and recreate to change the type). `steps` (an array of {kind:"tool"|"sop", name, args, label?}) is required and non-empty when CREATING an agent_type="workflow" agent, and must be omitted for agent_type="autonomous" (use `managed_model` there instead, itself optional and only valid for agent_type="autonomous"). `when` picks the trigger: "manual" (fires only via run_agent or the Workspace UI) or "schedule" (requires a `schedule` object — cadence "weekly" needs day_of_week, "monthly" needs day_of_month). This tool does NOT itself fire a run — use run_agent for that. Tier: sp500+ (sample rejected).

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• set_ad_schedule

  Growomat

  Set a campaign's weekly ad schedule with friendly input and correct, platform-aware timezone handling — the easy front door over update_campaign's adSchedule. Pass HH:MM times, day shorthands (MON…SUN, WEEKDAYS, WEEKEND) and/or a preset. Windows may cross midnight (19:00->07:00) and are auto-split. timezone:'local' uses the searcher's local time on Microsoft (AdScheduleUseSearcherTimeZone); Google cannot localize per searcher, so pass an explicit IANA zone (e.g. 'Europe/Istanbul') to offset-bake the hours to that location relative to the account timezone. Use dry_run:true to preview the exact expanded schedule and any warnings WITHOUT mutating the campaign. Scoped to the active Space.

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• verify_claim

  MSPortfolio — MCP-Native Engineering Portfolio

  Ground a claim about the owner against the portfolio's data (profile, projects, principles, timeline, antipatterns, experiments, diary, known issues). Deterministic: returns the evidence records that support the claim (with source paths) and a supported verdict. Use it before asserting a fact about the owner, or to check what an answer was based on.

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• get_ilo_details

  Crank Protocol

  Read a token launch live from chain (free): terms, status, escrow balances, and a machine-readable liquidity release schedule. ``launch_id`` is the on-chain u64 launch identifier. Returns the raise window and progress, the per-wallet pledge cap (0 = uncapped), live escrow + launch-vault balances, and a ``release_schedule`` block (cliff-then-linear) an agent can plan future claim_ilo_tokens calls from without parsing prose. Pass ``caller_wallet`` to attach that wallet's own pledge summary too (the authoritative per-wallet view is get_my_pledge_status). Utility token fair launch: participating commits funds to a non-custodial escrow; it is not a purchase of an expectation of profit. Workflow: DISCOVER step -- read details, check the window and the per-wallet cap, then preview with pledge_to_ilo (plan mode) before committing anything.

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• set_business_hours

  Loppee

  Set (or clear) the structured operating hours for a business you manage — the same validated write the owner's dashboard hours editor performs. Supply the WHOLE document each time (idempotent replace): hours.weekly maps every weekday mon..sun to { status, ranges } where status is one of open (1-4 time ranges, split hours like a lunch break supported), closed, open_24 (open 24 hours), or appointment (by appointment only); ranges use business-local 24h "HH:MM" times with open < close (close may be "24:00" = midnight). hours.overrides is an optional list of date-specific SPECIAL/HOLIDAY schedules ({ date: "YYYY-MM-DD", label e.g. "Independence Day", status, ranges }) that REPLACE the weekly schedule on that date. Pass hours=null to clear the schedule (profile shows no hours again). The business's IANA time_zone is derived server-side from its location; the public payloads expose the schedule plus a live computed open_now status in that zone. Hours are informational display data ONLY — they never change verification class, review reputation, ranking, reach, share-of-voice, or eligibility. Requires a scoped management key (allowed_actions include update_business_profile).

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• city_pair

  atlas

  Journey facts between two cities (European coverage): fastest and typical duration, whether direct trains run, fewest changes, operators and the guide URL — plus legendary atlas routes on that corridor. Direction-insensitive. Figures are sampled from public schedule data, not live times — treat as planning estimates. An uncovered pair returns an error with a search_routes tip.

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• create_heartbeat

  heartbeat-monitor

  Create a Cronping heartbeat monitor (dead-man's-switch). Returns a ping_url to call on each successful run of your agent loop, worker, or cron job, plus a claim_token to manage it. If pings stop arriving within period+grace, Cronping raises an alert. No account required. After creating, send one verification ping (call ping_heartbeat with the returned id) to confirm setup — the check flips from 'new' to UP so you know it's wired correctly. Alternatively, pass pull_url to make a PULL check: Cronping fetches that URL on schedule and alerts if it fails — for targets that can't call a ping URL (a health endpoint, status page, or API).

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• bundle_create_export_schedule

  gisgp

  PAID PER DELIVERY (30 credits each time it fires, NOT at creation — free to create/cancel) — the only MCP tool that exposes GISGP's core recurring-export product to agents: creates a schedule that re-exports a FeatureServer layer on its own and POSTs the file straight to your own webhook_url, no email/web UI account needed beyond the API key. Reuses the same scheduler that runs the paid web app's scheduled exports (fires within ~5 min of the due time). format: "csv", "geojson", "shapefile", "kml", or "excel". frequency: "hourly" (top of each hour), "daily" (at run_hour UTC), "weekly" (at run_hour UTC on `weekday`, 0=Monday..6=Sunday), or "monthly" (at run_hour UTC on `monthday`, 1-28). webhook_url: must be a public, reachable HTTPS URL (validated at creation AND at every delivery) — GISGP POSTs a JSON body {schedule_id, format, row_count, filename, delivered_at, data_base64 (or download_url for files >5MB)}. If the wallet lacks 30 credits when a delivery is due, that cycle is silently skipped (schedule stays active, no error surfaced to you) — top up any time at https://gisgp.com/billing/mcp-credits/topup and the next cycle delivers normally. Use estimate_cost or check_wallet_balance to plan ahead. Delete via cancel_export_schedule when no longer needed — an abandoned schedule with an empty wallet just skips forever, but does not charge or error. Requires Authorization: Bearer <api_key>. Returns JSON: {ok, schedule_id, next_run_at}.

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• save_partner_capital

  schedule-iii

  Save the partner or owner capital schedule for an LLP or other non-corporate entity — Note 3a (capital account) or Note 3b (current account), one section per call. Send the COMPLETE schedule for the section you name: anyone you leave out is removed, and a renamed partner reads as one removal plus one addition. If your request would remove anyone, would change the figures of a partner who stays — including their profit-sharing ratio — or would repeat a person’s name that is not already repeated on file, this returns an approval request first and changes NOTHING; tell your user exactly what would change and get their go-ahead before resending with the approval. Two rows with the same person name are both kept: Datavrn never merges them, because two partners may genuinely share a name. A repeated name is therefore saved as a separate row each time it appears, and every one of those rows adds to that person’s balance on the note, so check with your user that there really are that many people before you send a schedule that repeats a name. Adding a partner with a new, different name needs no approval. share_pct is the profit-sharing ratio stated in the LLP or partnership agreement at the reporting date. A ratio that changed part-way through the year cannot be represented here, and a partner who joined or left mid-year cannot be dated — record the position at the reporting date and tell your user the note cannot explain a mid-year change. These figures come from the agreement; Datavrn does not verify them. Datavrn warns about ratios that do not total 100% only when at least TWO capital-account rows carry a ratio, so a partly-filled schedule gets no warning at all — check the total yourself with get_partner_capital. This is your user’s data about named people, recorded as authorised by them. After a successful save, read the section back with get_partner_capital and show your user the new closing balances — this replaces the whole section, and a schedule they cannot see afterwards is a schedule they cannot check. Generate a fresh version after your last capture change — finalisation checks the version’s frozen capture state, not today’s.

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• manage_trigger

  mcp-server

  Create, list, update, delete, or fire a workspace job trigger. Four types: - "sftp"/"aws_s3": pulls files from a connection (sftp: remote server; aws_s3: S3 bucket/prefix) into an already-analyzed data spec on a schedule (hourly/daily/monthly, UTC). Type must match the connection's type; aws_s3 also requires s3Bucket (s3Prefix optional). Natural-language preRules (which files to pick up) and postRules (what to do after upload) are compiled into executable code server-side — never pass raw code. The connection must already exist and have passed test (see manage_connection). For a first-time "set up a daily/scheduled pull" request, prefer setup_scheduled_pull, which sets up the connection and trigger together. - "spec_success": fires a spec automatically whenever a DIFFERENT spec's job completes successfully (set upstreamSpecName to that spec). No connection/frequency. Use this when the request ties the run to another job finishing (e.g. "run this after the customers load finishes"). - "schedule": fires a spec directly on a plain frequency (hourly/daily/monthly, UTC), no connection and no upstream spec. Use this when the request is time-based with no dependency (e.g. "run this every morning"). IMPORTANT: "spec_success" and "schedule" triggers can only target a table-source (sourceType: "tables") spec (see onboard_data_source) — they have no file to load, only a generated query to re-run. If asked to set up a scheduled/recurring job that reads from an already-loaded table (e.g. "keep a daily summary of the orders table up to date"), create that as an onboard_data_source sourceType "tables" spec first, THEN create the trigger here. Prefer "spec_success" when the user's phrasing implies "after X loads/finishes"; prefer "schedule" when they just want a cadence with no stated dependency; ask if genuinely ambiguous. For sftp/aws_s3, the referenced spec must already have been analyzed once (see onboard_data_source). After firing a trigger (action "run-now") — or any one-off manual run — use action "run-history" to monitor its outcome: it starts as `status: running` and settles to `success`, `failed`, or `no-files`, with `filesPulled` and a `message`.

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