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306,067 tools. Last updated 2026-07-16 19:08

"namespace:io.github.tide-foundation" matching MCP tools:

  • Ten-card Celtic Cross spread — traditional ten-position tarot layout. Draws 10 unique cards using cryptographic randomness and assigns each to one of the 10 classical Celtic Cross positions. SECTION: WHAT THIS TOOL COVERS The Celtic Cross examines a situation from 10 angles simultaneously: Position 1 (present) — the core situation Position 2 (challenge) — what crosses or complicates it Position 3 (root) — unconscious foundation or distant past Position 4 (past) — recent events that led here Position 5 (possible_outcome) — what could happen if current energy continues Position 6 (near_future) — what is coming in the next weeks Position 7 (self) — how you see yourself / your attitude Position 8 (external) — how others see you or environmental factors Position 9 (hopes_and_fears) — what you hope for or fear Position 10 (outcome) — the most likely final resolution All position meanings are included in the response — callers do not need external tables. SECTION: WORKFLOW BEFORE: None — standalone reading, or follow asterwise_get_tarot_three_card_spread when a more detailed examination of the same question is needed. AFTER: None. SECTION: INPUT CONTRACT allow_reversed (bool, default false) — Each card independently has 50% reversal chance. question (optional string, max 500 chars) — The question or situation being examined. Example: 'Should I accept the job offer in London?' SECTION: OUTPUT CONTRACT data.spread_type (string — 'celtic_cross') data.positions[] — 10 objects in order [present, challenge, root, past, possible_outcome, near_future, self, external, hopes_and_fears, outcome]: card — full card object is_reversed (bool) position (string — named position key) position_meaning (string — what this position represents) active_meaning (string — orientation-appropriate interpretation) active_keywords[] (string array) data.question (string or null — echoed) SECTION: RESPONSE FORMAT response_format=json — full 10-card spread object. response_format=markdown — formatted Celtic Cross reading. SECTION: COMPUTE CLASS FAST_LOOKUP — cryptographic randomness, no ephemeris. SECTION: ERROR CONTRACT INVALID_PARAMS (local): None. INTERNAL_ERROR: Any upstream API failure → MCP INTERNAL_ERROR SECTION: DO NOT CONFUSE WITH asterwise_get_tarot_three_card_spread — 3 positions only; use for simpler questions. asterwise_draw_tarot_cards — free draw with no positional meaning. asterwise_get_tarot_yes_no — binary answer, not positional analysis.
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  • Authenticated — returns the caller's Blueprint learning-path state: current course slug, stage progress, certification status (Foundation, Practitioner, Capstone), Capstone track eligibility flags, and the next recommended stage. WHEN TO CALL: the user asks 'where am I', 'what's next', or 'am I Capstone-eligible'; before suggesting next-step coaching content. WHEN NOT TO CALL: as a heartbeat (state changes only when the user completes a stage); to read another user's progress. BEHAVIOR: read-only, idempotent. Auth: Bearer <token> (any plan, including basic). Returns user_email, course_slug, stages list with completion timestamps, certification block, and a next_stage hint.
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  • Search open grant opportunities from Kindora's active foundation-program corpus and federal government grants. Searches both private foundation grant programs (from IRS data and funder websites) and federal government grant opportunities (from Grants.gov). Uses full-text search with natural language understanding — queries are parsed into individual terms with stemming, so "youth after school programs" matches programs about youth, after-school, and programming even if those exact words don't appear together. Search covers program names, descriptions, focus areas, beneficiary types, and geographic focus fields. Use the state parameter to focus on geographically relevant opportunities. Query syntax: - Natural language: "affordable housing for seniors" (matches any of these terms) - Quoted phrases: '"after school"' (matches exact phrase) - Exclusion: "education -higher" (matches education, excludes higher education) - Combine: '"mental health" youth -adult' (phrase + term + exclusion) - No query: returns broadly open programs sorted by upcoming deadlines (browsing mode)
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  • Authenticated — returns the caller's Blueprint learning-path state: current course slug, stage progress, certification status (Foundation, Practitioner, Capstone), Capstone track eligibility flags, and the next recommended stage. WHEN TO CALL: the user asks 'where am I', 'what's next', or 'am I Capstone-eligible'; before suggesting next-step coaching content. WHEN NOT TO CALL: as a heartbeat (state changes only when the user completes a stage); to read another user's progress. BEHAVIOR: read-only, idempotent. Auth: Bearer <token> (any plan, including basic). Returns user_email, course_slug, stages list with completion timestamps, certification block, and a next_stage hint.
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  • Paid tier only. Calling this without an authenticated CivilQuants account returns TIER_INSUFFICIENT — sign up at https://civilquants.com/pricing or use the free-tier alternative compute_cantilever_wall. Linear reinforced concrete strip foundation, level or stepped. Closes the P1 launch set alongside pad_foundation. Integrates BS 8666:2020 reinforcement scheduling. Stepping is the v10 demonstration of cross-cutting standards-handler discrimination. Example params: length=10 m (1–100), width=0.75 m (0.3–2.5), thickness=0.35 m (0.15–1.5). Example call: {"params": {"length": 10, "width": 0.75, "thickness": 0.35}, "standard": "MMHW"}. Omitted parameters use sensible engineering defaults. Pass deliverables=["xlsx","dxf","pdf"] (any subset) to also receive one-shot download URLs in the same call: Excel BoQ (both tiers, watermarked free) plus the dimensioned DXF (CAD) and PDF drawing sheets (paid tier).
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  • Find grantmakers that have ACTUALLY funded organizations LIKE the caller's, using the real 7.5M-edge who-funds-whom grant graph (IRS 990-PF, 2022-2026). This is the strongest free-tier prospecting move: collaborative-filtering peer prospecting, distinct from search_funders (name/topic lookup) and search_open_grants (active RFPs). HOW IT WORKS: for each peer organization, it looks up every foundation that granted to that peer, then merges funders across peers. A funder that gave to several of your peers ranks highest. Every result carries real grant evidence — which peers the funder funded and for how much. INPUTS (provide one): - peer_orgs (PREFERRED): names or 9-digit EINs of organizations LIKE the one you're raising for — peers, aspirational orgs, or orgs with a similar mission. The graph is keyed by recipient EIN, so naming real peers yields the sharpest evidence. Up to 12 are used. - org_description: a plain-language description of the nonprofit (mission, cause, who it serves). Fallback that resolves well-funded peers by keyword over the IRS BMF; prefer peer_orgs when you can name a few peers. RECOMMENDED WORKFLOW: establish the org's mission/cause, then name 2-5 peer organizations and call this tool. Deepen any candidate with get_funder_profile / get_foundation_grants (pass the returned ein).
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  • Foundation discovery and grant intelligence for nonprofits. 174K+ US funders, IRS 990 data.

  • MCP server teaching AI agents to implement TideCloak: auth, E2EE, IGA, security analysis

  • Look up grantmaking organizations by name, topic, or location. This tool searches 174K+ grantmaking organizations from IRS data using organization names plus grant-purpose/topic signals. Use it when you know the funder's name, want aligned funders for a cause area, or want to browse by location/size/NTEE code. Multi-word searches are ranked by relevance; simple browse/name fallback results are ordered by total assets. IMPORTANT: Use search_open_grants when the user needs active grant programs or RFPs. search_funders is for finding aligned grantmakers, including ones that may fund by relationship, LOI, or annual cycle rather than a live call.
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  • Returns all 22 Major Arcana cards (The Fool through The World) as a structured array. Major Arcana represent universal archetypes and major life themes. SECTION: WHAT THIS TOOL COVERS The 22 Major Arcana are the foundation of the tarot — they deal with karmic and spiritual lessons, major life events, and universal forces. They are numbered 0 (The Fool) through 21 (The World). Each has an astrological correspondence and elemental association. SECTION: WORKFLOW BEFORE: None — standalone. AFTER: asterwise_draw_tarot_cards — draw from this subset by filtering by arcana_type. SECTION: INPUT CONTRACT response_format — Required: markdown | json. SECTION: OUTPUT CONTRACT data[] — 22 card objects, each identical to asterwise_get_tarot_card output. Ordered 0–21 (The Fool through The World). SECTION: RESPONSE FORMAT response_format=json — array of 22 card objects. response_format=markdown — formatted list. SECTION: COMPUTE CLASS FAST_LOOKUP SECTION: ERROR CONTRACT INVALID_PARAMS (local): None. INTERNAL_ERROR: Any upstream API failure → MCP INTERNAL_ERROR SECTION: DO NOT CONFUSE WITH asterwise_get_tarot_cards — full 78-card deck including Minor Arcana. asterwise_get_tarot_suit — 14 Minor Arcana cards by suit.
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  • List statutory tax-rate slabs by jurisdiction — IN GST (5/12/18/28 + zero + exempt + composition trader/manufacturer/restaurant + compensation cess), UK VAT (20 / 5 / zero / exempt), AU GST (10 / GST-free), US sales-tax (state-administered summary, no federal rate), CA GST 5% + HST 13% ON / 15% Atlantic, SG GST 9%, NZ GST 15%, AE VAT 5%. Filter by `country`, `taxType` (GST/VAT/Sales-Tax/HST/IGST/CGST-SGST/TDS/TCS), or `scheme` (standard / reduced / zero / exempt / composition / cess / state-summary). Every entry carries an effective-from date and an authoritative `source` URL (CBIC, gov.uk, ATO, CRA, IRAS, IRD, FTA, Tax Foundation) — agents should confirm the rate against the source before quoting figures to a user. Use this when a user asks "what is the GST rate on X?", "what VAT band does Y fall into?", or "what are the composition slabs in India?". This is the public statutory reference — for an org-specific tax assignment use the authenticated books_classify_event tool.
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  • List statutory tax-rate slabs by jurisdiction — IN GST (5/12/18/28 + zero + exempt + composition trader/manufacturer/restaurant + compensation cess), UK VAT (20 / 5 / zero / exempt), AU GST (10 / GST-free), US sales-tax (state-administered summary, no federal rate), CA GST 5% + HST 13% ON / 15% Atlantic, SG GST 9%, NZ GST 15%, AE VAT 5%. Filter by `country`, `taxType` (GST/VAT/Sales-Tax/HST/IGST/CGST-SGST/TDS/TCS), or `scheme` (standard / reduced / zero / exempt / composition / cess / state-summary). Every entry carries an effective-from date and an authoritative `source` URL (CBIC, gov.uk, ATO, CRA, IRAS, IRD, FTA, Tax Foundation) — agents should confirm the rate against the source before quoting figures to a user. Use this when a user asks "what is the GST rate on X?", "what VAT band does Y fall into?", or "what are the composition slabs in India?". This is the public statutory reference — for an org-specific tax assignment use the authenticated books_classify_event tool.
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  • Forecast the next `horizon` readings of a canonical telemetry series using TimesFM (Google's time-series foundation model). Returns a point forecast plus quantile uncertainty bands (q0.1 … q0.9) — no per-machine training required. The kernel already normalizes raw OEM telemetry into canonical FCS fields; this predicts where a field is headed next. Args: time_series historical canonical values, oldest→newest (≥16 recommended) canonical_field the FCS field the series represents (e.g. "spindle_load_pct"), carried through for labeling/provenance horizon number of steps to predict (1–256, default 24) frequency accepted for forward-compat; TimesFM 2.5 auto-detects cadence USE WHEN: a user wants to know where a metric is trending — "what will spindle load look like over the next 2 hours", "project coolant temperature", "forecast throughput". For threshold/failure questions use predict_breach or remaining_life instead. PREMIUM (Pro tier) — runs ML inference (~$0.05/call once metered billing is active).
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  • List available MCP tools and get detailed help. Use this tool to discover what tools are available and how to use them. Call without parameters to see all tools, or provide a tool name to get detailed help including parameters, examples, and related tools.
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  • Paid tier only. Calling this without an authenticated CivilQuants account returns TIER_INSUFFICIENT — sign up at https://civilquants.com/pricing or use the free-tier alternative compute_manhole. Prefabricated petrol/oil interceptor (separator) per BS EN 858-1:2002 / BS EN 858-2:2003 and SHW Cl. 519. Catalogue-driven on three axes: Class (1 with coalescer + auto-closure for ≤5 mg/l surface-water discharge, or 2 for ≤100 mg/l foul-sewer discharge), Type (full retention NSF for high-spill-risk forecourts, or bypass NSB for low-spill-risk car parks), and Nominal Size (NS3 to NS100 l/s flow rating — 7 catalogue entries). Composite of the procured interceptor unit (Nr, default supply route CONTRACTOR_INSTALL_PC_SUPPLY for engineer-specified prefab), concrete blinding bedding, granular surround per SHW Cl. 803, geotextile separator, and foundation excavation with optional sheet pile support. Oil storage capacity derived per BS EN 858-2 cl. 4.3.6 (V = NS×10 for full retention, NSB×15 for bypass). Opens drainage_treatment leaf; the canonical pre-treatment for hot-spot catchments draining to soakaway, watercourse, or foul sewer. Routes via CESMM4 K.5.x.n (size-banded), NRM2 33.9.x, MMHW 500.13.x (SHW Cl. 519), SMM7 R12.5.x. Example params: bedding_blinding_thickness_mm=150 mm (100–300), bedding_overhang_m=0.3 m (0.15–0.5), surround_thickness_each_side_m=0.3 m (0.15–0.5). Example call: {"params": {"bedding_blinding_thickness_mm": 150, "bedding_overhang_m": 0.3, "surround_thickness_each_side_m": 0.3}, "standard": "MMHW"}. Omitted parameters use sensible engineering defaults. Pass deliverables=["xlsx","dxf","pdf"] (any subset) to also receive one-shot download URLs in the same call: Excel BoQ (both tiers, watermarked free) plus the dimensioned DXF (CAD) and PDF drawing sheets (paid tier).
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  • Paid tier only. Calling this without an authenticated CivilQuants account returns TIER_INSUFFICIENT — sign up at https://civilquants.com/pricing or use the free-tier alternative compute_cantilever_wall. Single isolated reinforced concrete pad foundation with optional pedestal. Demonstrates BS 8666:2020 reinforcement scheduling integrated with the four-standard rendering invariant. Example params: length=2 m (0.5–10), width=2 m (0.5–10), thickness=0.45 m (0.15–2). Example call: {"params": {"length": 2, "width": 2, "thickness": 0.45}, "standard": "MMHW"}. Omitted parameters use sensible engineering defaults. Pass deliverables=["xlsx","dxf","pdf"] (any subset) to also receive one-shot download URLs in the same call: Excel BoQ (both tiers, watermarked free) plus the dimensioned DXF (CAD) and PDF drawing sheets (paid tier).
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  • Materialize a memory or freeform note as a post-item in the space. Position+normal anchor it to a 3D surface: call list_surfaces first to pick a real wall/floor instead of guessing. Put it at EYE LEVEL (a wall face around world y 3.5 to 4), not the foundation row (world y 2.0) where it reads as a floor sticker. Default visibility inherits from the region you stand in (list_regions / inspect_region_provenance to check) or falls back to your private cap. Pass memoryId to link this post to a reflection row in agents.memories. Content shape MUST match the type: text={text:string<=2000}; image={url|asset_key,width,height}; sticker={stickerId} OR {kind:'custom',url,asset_key,width,height}; video={kind:'youtube',youtube_id,...} OR {kind:'streamVideo',stream_uid|hls_url|asset_key|url,...}; card={title?,body?,sourceUrl?,layout?,composition?,...}. The anchor MUST sit on a real surface: the server snaps a near-miss onto the nearest voxel face within ~1.5m, but rejects an anchor with nothing solid in reach (reason no-surface) so a post can never float in mid-air. Returns { ok, postId, memoryId } on accept, { ok:false, reason } on reject (no-surface / capability-missing / type-not-allowed / invalid-content-shape:<type>:<path> / rate-limit-1s / quota-daily / content-too-large / invalid-*). A post landing where you have already looked a lot may be skipped automatically (skipped:true, reason:'low_novelty') to avoid storing redundant observations; pass force:true to override that gate and insert regardless. Delete your own posts with delete_memory_post.
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  • Find trust & foundation jurisdictions for asset protection and succession planning (e.g. Cook Islands, Nevis, Cayman, Jersey, Liechtenstein), ranked by asset-protection strength, each with its statute, CRS status and EU-list status. Filter by vehicle (trust/foundation) or strong_protection. The wealth-structuring complement to the residence/citizenship pathways.
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  • List all available service directories in the LocalPro network. This is the starting point for discovering what categories of verified local service providers are available. Categories include water damage restoration, foundation repair, crawl space repair, basement waterproofing, mold/asbestos/lead remediation, radon mitigation, septic services, commercial electrical, floor coating, and laundry pickup & delivery. Returns niche IDs needed for all other tools.
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  • k-NN over the corpus by cell embedding or inline vector. When to use: Call when the user asks 'find places like X', 'where else looks like this', or hands an embedding to find neighbours. `key` is either a cell64 or `inline:[x,y,...]`. Default band is `geotessera` (128-D Tessera foundation embedding); pass `band: "geotessera.multi_year"` for the 1152-D 9-vintage (2017–2025) fusion.
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  • Answer whether ROSCA / savings-circle payments build credit history in Canada. The honest answer: not yet directly to a credit bureau, but a Wiremi on-ledger record is the data foundation for a credit-reporting pilot in conversation with a Canadian bureau. Never claims bureau reporting is live. No personal data.
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  • GRANTS & FOUNDATIONS — Search grants, prizes, fellowships, SBIR/STTR, and private foundations. Excludes procurement/contracts for clean results. Use when user wants: funding, grants, fellowships, research money, SBIR, foundation grants. Also returns matching private foundations automatically. Examples: "cancer research funding", "clean energy small business grants", "HVAC grants in Arizona". BATCH MODE (paid): pass a queries[] array of 2-5 variations instead of query to run them in parallel, dedupe, and return all unique results in one call — this replaces the former batch_search_grantsplus tool. Paid plans show new listings the day they open; the free plan reaches the same listings after 10 days. Counts toward your monthly searches. A batch counts as 1 call.
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