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260,363 tools. Last updated 2026-07-05 05:27
"A system for managing schedules or emails (MCP)" matching MCP tools:
- When to use: Build a tabular, spreadsheet-style schedule (rows = elements matching a keyword, columns = up to 15 shared parameters) from a translated Revit model — useful for Door Schedules, Wall Schedules, Room Schedules, and QA/QC exports. When NOT to use: Do not use when you only need raw element metadata (use revit_get_elements) or parameter schema (use revit_get_parameters). APS scopes: data:read viewables:read (Model Derivative metadata + properties). Rate limits: APS default ~50 req/min per app per endpoint; Model Derivative translation jobs ~60 req/min; OSS uploads size-limited per file to 100MB for direct upload, larger via resumable. Errors: 401 APS token expired — refresh. 403 scope insufficient — add viewables:read. 404 URN not found — check model_id. 429 rate limited — back off. 5xx APS upstream — retry with jitter. Side effects: Read-only. Idempotent.Connector
- Use only after explicit user confirmation and a prior prepare_publish result to publish or schedule a Dreamlit workflow. Side effect: installs live database/repeating/auth triggers, schedules or sends broadcasts, and may enable notification delivery; sandbox mode can hold notifications for inspection. Returns the published workflow status and app URLs. Do not call speculatively or without carrying forward the prepare_publish safety fields.Connector
- Schedule a snapshot for future execution. Requires: API key with write scope. Max 3 pending schedules per site. Args: slug: Site identifier scheduled_at: ISO 8601 datetime (must be in the future) description: Optional description (max 200 chars) Returns: {"id": "uuid", "scheduled_at": "iso8601", "status": "scheduled"} Errors: VALIDATION_ERROR: Invalid datetime, not in future, or too many pendingConnector
- Search for contacts by title, company, or query. Searches saved Xmagnet contacts first (free, instant), then a profile-first prospecting page of up to 50 profiles (free, emails HIDDEN). Examples: 'CTOs in Denver', 'John Smith at Google', 'VPs of Sales at SaaS startups'. Emails are not included — to reveal one, call find_email for that person (4 credits per verified find). Use load_more_contacts for the next page.Connector
- Return the catalog of paired models — concrete real-world systems that live in two ChiAha sandboxes simultaneously, one for dynamics (DES via ReliaSim) and one for statistics (distribution fitting + validation via ReliaStats). Today: a single paired model — the bottling line. Returns canonical model IDs + cross-MCP routing metadata (which ReliaSim chapter, which ReliaSim MCP tools, which ReliaStats mode consumes which file shape). Use when a user asks about cross-MCP workflows, paired sandboxes, or the bottling-line example. ANTI-FABRICATION: this is a soft-reference catalog — to actually run a simulation, the LLM client calls ReliaSim's MCP tools directly.Connector
Matching MCP Servers
- Alicense-qualityAmaintenanceEnables AI agents to query OpenRouter model information including prices, ELO rankings, context, and perform comparisons.Last updated221MIT
- Flicense-qualityDmaintenanceProvides an intelligent, graph-based memory system for LLM agents using the Zettelkasten principle, enabling automatic note construction, semantic linking, memory evolution, and autonomous graph maintenance with background optimization processes.Last updated9
Matching MCP Connectors
Email for AI agents: read, search, send, organize, and schedule across your inboxes.
Compare ocean carrier sailing schedules, transit times, and on-time reliability before you book.
- Hide one or more emails from the user's feed (does not delete them). Optional reason, e.g. 'spam', 'not_interested', 'never_show_this_sender'.Connector
- Request an invitation to KernelScan from inside MCP (no API key needed). Use this when a keyless caller wants the full service. It records an invitation request and emails a confirmation; an admin reviews it and, if approved, sends an invitation code. This tool does NOT create an account or mint an API key — you finish signup (including accepting the terms) on the website after you receive the invitation. ``email`` is required. ``name`` and ``reason`` are optional context for the reviewer. The response is identical whether or not the email is already known, so it never reveals account state.Connector
- Get detailed transit schedules for a specific carrier — service codes, routing via transhipment ports, transit days, and sailing frequency. Use this when you need routing details beyond just transit time — e.g., which transhipment ports are used, what service string applies, or weekly frequency. For a quick transit time comparison across all carriers, use shippingrates_transit instead. PAID: $0.03/call via x402 (USDC on Base or Solana). Without payment, returns 402 with payment instructions. Returns: Array of { carrier, service_code, origin, destination, transit_days, transhipment_ports[], frequency, direct }.Connector
- Get Lenny Zeltser's Malware cross-server handoff routes — when this MCP server can't fulfill a request, which other MCP servers (or fallback workflows) to consult. Surfaces a compact subset of `malware_load_context`. This server never requests your sample, analysis notes, or indicators and instructs your AI to keep them local—guidelines and the report template flow to your AI for local analysis.Connector
- Get Lenny Zeltser's Security Assessment cross-server handoff routes — when this MCP server can't fulfill a request, which other MCP servers (or fallback workflows) to consult. Surfaces a compact subset of `assessment_load_context`. This server never requests your assessment notes or report and instructs your AI to keep them local—the templates and guidelines flow to your AI for local analysis.Connector
- Fetch a ManifestYOU soul document — a short philosophical grounding text designed to be injected into an AI system prompt before a session begins. Call this at the start of a session to orient the model toward stillness, precision, or creative expansion before work. Paste the returned soul_document into your system prompt or before the first user message.Connector
- List and keyword-search federal accounts by agency identifier or title keyword. Returns account numbers, names, managing agencies, and budgetary resources. Use account_number from results as input to usaspending_get_federal_account for full budget detail. Use usaspending_list_agencies to look up agency_identifier codes (3-digit strings, e.g. "097" for DoD).Connector
- Add and/or remove the same labels on many email messages at once in a single Gmail API call (wraps users.messages.batchModify). Use this for bulk operations such as marking multiple specific emails as read (remove ['UNREAD']), archiving (remove ['INBOX']), or starring (add ['STARRED']). Use list_labels to find label IDs (Gmail requires IDs, not names). Common system label IDs: INBOX, STARRED, IMPORTANT, UNREAD, SPAM, TRASH. Provide 1-1000 email IDs and at least one of `add` or `remove`. The same label changes are applied to every listed message. Gmail returns no per-message status, so a successful call means Gmail accepted the request; an invalid email ID or label ID typically causes Gmail to reject it.Connector
- Resolve the storyflo embedder onboarding URL prefilled with the partner's name + email + optional vertical. Returns the URL the human must visit to complete signup (storyflo emails a magic link to verify ownership; the embedder slug + ref_token are minted on verification). DOES NOT create a DB row + DOES NOT send email — the MCP tool is a discovery + handoff surface so an agent can call it speculatively without triggering inbox-bound email to the human. Public — no auth required.Connector
- Get the total MUNICIPAL DEVELOPMENT COST to build in a US jurisdiction — the impact/development fees, water & sewer tap (connection) fees and capital-recovery charges a real-estate developer must pay the city/utility before breaking ground — for a standard single-family home. Returns ONE aggregated USD figure, the water+sewer vs other-impact split, and a one-line summary of each fee included. This is the number a development-feasibility / pro-forma analysis needs and that today costs weeks of manual digging across municipal ordinances, utility fee schedules and county portals. We AGGREGATE and NORMALIZE it from public, government-published fee schedules so your agent doesn't have to. Pass a 'jurisdiction' ('Phoenix, AZ', 'Raleigh, NC') or a US 'address'. Coverage is honest: 'deep' = the city's own water/sewer schedule was ingested (per-meter detail); 'partial' = headline figures from public schedules; 'estimated' = a regional benchmark when the exact city isn't in our deep KB yet (clearly marked, never passed off as the city's published number). FREE. For the fee-by-fee breakdown, per-meter water/sewer schedule, multi-jurisdiction comparison or a whole-project estimate, use the premium tools. Indicative — verify with the jurisdiction.Connector
- Fetch current NFL football game scores, schedules, and results. Returns team matchups, final scores, scheduled start times, team standings, and individual player stats. Use for fantasy football, sports analysis, or following NFL season progress.Connector
- Search MCP servers by server title/name, description, or by the tools they provide. Accepts natural language capability queries like 'send emails', 'search the web', 'create pull requests', or direct server names like 'GitHub' or 'Stripe'. Results are ranked by relevance: title match first, then tool name match, then description. Each result includes the server's tool list so you can confirm it does what you need. Set limit based on the type of request you received: - Prompting (general/exploratory — user is browsing or asking broadly): use 20-30 - Task assignment (user delegated a goal for you to execute autonomously): use 10-15 - Instruction/directive (specific command with a clear target server in mind): use 3-5Connector
- Run forensic windows analysis (AACE RP 29R-03 §3.3, MIP 3.3 Observational / Dynamic / Contemporaneous As-Is) across multiple Primavera P6 XER snapshots and return the full analysis dict. This is the headline forensic tool — it computes per-window completion shifts, per-window slip registers (per-activity slip with critical/non-critical flag), per-window duration growth on critical-path activities, per-window per-party attribution (Owner / Contractor / Concurrent / Force Majeure / Unattributed), and cumulative project drift from baseline. The attribution math satisfies the AACE 29R-03 §4.1 conservation rule (per-party day buckets sum to project drift within ±1 day, no cascade-double- counting). Use this tool for the full multi-window forensic claim. If you already have a windows result and only want the per-window × per-party grid view, call ``concurrent_delay_matrix`` instead. Args: schedules: list of dicts in chronological order. Minimum 2 entries (baseline + at least one update). Each dict must contain ``label`` (str) and EXACTLY ONE of: - ``xer_path`` — server-side filesystem path, OR - ``xer_content`` — full XER text content. Use ``xer_content`` when calling a hosted MCP server from a remote client whose XER lives locally. project_name: optional override; auto-picked from XER if "". baseline_idx: which entry in ``schedules`` is the contract baseline (default 0 = first one). entitlement_milestone: optional task_code (e.g. "Ready for Takeover") — recorded on the result, not used for math. output_dir: optional dir for HTML dashboard / DOCX report. If "", a tempdir is used and dropped after — the dashboard / report paths in the response will point to the temp location (caller responsible for moving them). Returns: { "analysis": full dict from run_windows() with keys: "windows", "cumulative", "baseline_label", "data_dates", "attribution_summary", "mcpm_attribution", ..., "dashboard": path to HTML dashboard (server-side), "report": path to DOCX executive report (server-side), "baseline_stability": {"worst_severity", "has_block", ...} } On failure: {"error": "..."} with no schedules processed.Connector
- Get Lenny Zeltser's CTI cross-server handoff routes — when this MCP server can't fulfill a request, which other MCP servers (or fallback workflows) to consult. Surfaces a compact subset of `cti_load_context`. This server never requests your campaign or threat-intel notes and instructs your AI to keep them local—templates and guidelines flow to your AI for local analysis.Connector