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528,237 tools. Updated 2026-09-07 12:48

"Steam Deck" matching MCP tools:

  • Run a Sieve IMPACT-X Quick Screen on a startup. Analyzes the company across 7 dimensions (Innovators, Market, Product, Advantage, Commerce, Traction, X-Factor) and returns an analysis ID. Takes 2-5 minutes to complete. Upserts -- if the company was previously screened, returns the existing deal (set confirm=true to re-screen). Two ways to use: - v3 (recommended): First add documents with sieve_dataroom_add, then call sieve_screen(deal_id=...) to analyze everything in the data room. - v2 (legacy): Call sieve_screen(company_name=..., website_url=...) directly. At least one of website_url or pitch_deck_text is required in this mode. Args: company_name: Name of the startup to screen (v2 flow, or to create new deal). deal_id: Screen an existing deal by ID (v3 flow -- use after sieve_dataroom_add). website_url: Company website URL (v2 flow). pitch_deck_text: Extracted pitch deck text (v2 flow). description: Brief company description (optional). confirm: Set to true to re-screen an existing deal.
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  • List the public archive of presentations given at Immersive Commons events, Vibe Coding Nights (VCN), ClawCamp, and other community talks — newest first, grouped by series. No auth required. NOT to be confused with ic_resources_list (that lists bookable rooms). Use ic_presentations_get for one VCN session's detail. Args: { series?: string (e.g. 'VCN'|'ClawCamp'|'Talk'), format?: 'deck'|'slides'|'video'|'doc'|'link', limit?: number (max 200, default 100) }. Returns: { count, total, series: string[], scaffold, by_series: Array<{ series, presentations: P[] }>, presentations: P[] (flat) } where P = { session_no (number, VCN-only; null for non-VCN talks), series, title, date, format, public_url, deployed, speaker?, event?, summary? }. `scaffold:true` means placeholder data (real manifest not yet synced). `public_url` is a direct view/download link, null if unpublished (local-only).
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  • Log a grammar mistake the user just made in the target language, creating a grammar point in their Minddory deck. Use it proactively whenever the user writes a target-language sentence with a clear, correctable error (wrong tense, agreement, word_choice, word_order, missing or wrong article, preposition, gender, conjugation, spelling, pluralization). By connecting Minddory the user opted IN to automatic capture, so log it as you go - do not ask permission first or turn it into a yes/no question. The user connected Minddory to catch and review these patterns; you do not need to announce each log. Pass the original text + correction + error_type. Multiple mistakes in one message = multiple calls. VARIANT RULE: Always pass the user's full BCP-47 variant in the lang field (e.g. en-gb, not en) - get it from get_system_instructions on first turn. Before logging, check that the "error" is not actually a valid regional variant form (US past-simple vs UK present-perfect with "just/already", US "in the hospital" vs UK "in hospital", US "color" vs UK "colour", BR gerund vs PT "a + infinitive", etc.). When the variant is unspecified (base ISO only), treat ALL regional forms as valid. Better to skip a borderline call than to mark a valid variant form as wrong. error_type must be one of: tense, agreement, word_choice, word_order, article, preposition, spelling, pluralization, conjugation, gender, other. Feeds the user's Grammar Patterns view at app.minddory.com/grammar.
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  • Create a follow-up tied to a person — a to-do for the relationship (e.g. 'send the deck', 'intro to Ana'). In Team context, pass team_id and assigned_to to create it for any teammate against a Team-visible relationship. RECOMMENDED: include both assigned_to and remind_at whenever ownership and timing are known; neither is required. @mention a name in `content` to link someone in the relationship owner's network. Read open ones via get_person (relationship.actions); close them with complete_action or edit them with update_action.
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  • Draws N unique random cards from the 78-card deck using cryptographic randomness (Python secrets.SystemRandom). Every call is independent — there is no session state. WORKFLOW: BEFORE: None — standalone. AFTER: None — interpret drawn cards using their active_meaning and active_keywords fields. INPUT CONTRACT: count (int 1–78, default 1) — Number of unique cards to draw. Example: 1 (daily pull), 3 (simple reading), 10 (Celtic Cross), 78 (full deck shuffle). Values outside 1–78 are rejected locally with MCP INVALID_PARAMS. allow_reversed (bool, default false) — When true, each drawn card independently has a 50% chance of reversal (cryptographically random, not seeded). DO NOT CONFUSE WITH: asterwise_get_tarot_card_of_the_day — deterministic daily card, same for all callers. asterwise_get_tarot_three_card_spread — positional read with named positions and meanings. asterwise_get_tarot_celtic_cross — 10-card positional spread. Full output and error contract: https://docs.asterwise.com/mcp/tools/draw-tarot-cards/
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  • Capability manifest of the hosted runners: LAMMPS version, installed packages, and every style by category with gpu=true (KOKKOS-accelerated) or gpu=false (exists, but runs on the pod's CPU cores at the GPU rate). Default = compact summary; runner=lammps&full=true returns the whole style table. Use preflight_deck to check a specific deck.
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    A read-only Model Context Protocol server for Valve's public Steam Web API and storefront. Ask about your friends and games, playtime and achievements, plus account-independent things like sales, reviews, live player counts, Steam Deck compatibility, discovery, and recommendations — bring your own free Steam API key.
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Matching MCP Connectors

  • Steam Web API: profiles, owned games, achievements, app news, player counts.

  • Steam concurrent players by game over time, monthly trends and growth. Free key at trendsmcp.ai

  • Draws N unique random cards from the 78-card deck using cryptographic randomness (Python secrets.SystemRandom). Every call is independent — there is no session state. WORKFLOW: BEFORE: None — standalone. AFTER: None — interpret drawn cards using their active_meaning and active_keywords fields. INPUT CONTRACT: count (int 1–78, default 1) — Number of unique cards to draw. Example: 1 (daily pull), 3 (simple reading), 10 (Celtic Cross), 78 (full deck shuffle). Values outside 1–78 are rejected locally with MCP INVALID_PARAMS. allow_reversed (bool, default false) — When true, each drawn card independently has a 50% chance of reversal (cryptographically random, not seeded). DO NOT CONFUSE WITH: asterwise_get_tarot_card_of_the_day — deterministic daily card, same for all callers. asterwise_get_tarot_three_card_spread — positional read with named positions and meanings. asterwise_get_tarot_celtic_cross — 10-card positional spread. Full output and error contract: https://docs.asterwise.com/mcp/tools/draw-tarot-cards/
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  • Look up road-freight vehicle and trailer specifications — 17 types: EU articulated trailers (standard/mega curtainsider, box, reefer, double-deck, flatbed, low-loader), US 53ft/48ft dry vans, rigid trucks (7.5-26 t) and vans (Luton, Transit, Sprinter). Each record carries internal dimensions, payload and gross weights, euro/UK pallet capacity, axle configuration and features. Provide slug (e.g. "standard-curtainsider") for one record; omit it to list all 17; category (articulated | rigid | van) and region (EU | US) filter the list. Behavior: read-only; an unknown slug errors with the valid list; per-record provenance (sources, audited_at, decision_rationale) is included. Rate-limited (anonymous use: 25 requests/day per IP): a 429 error body carries retry_after_seconds and a Retry-After header — back off and retry, or call get_subscribe_link for higher limits. Returns: the vehicle record (or filtered list) under result, plus confidence, _source and citation (the FreightUtils v1 response envelope). Limitations: typical specs, provenance pending independent verification (the envelope's provenance_status says so) — real equipment varies by operator and build; legal payload is set by the vehicle's plated weights. Related: ldm_calculator (whether a pallet load fits), pallet_fitting_calculator, consignment_calculator.
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  • Build a complete creative intelligence profile from internal brand documents — creative briefs, brand guidelines, product specs, customer research, competitive analysis. Takes any mix of file_ids (from a previous upload), document_urls (public PDF/DOCX/TXT/MD links, up to 10), or documents_inline (base64-encoded files with filename), plus an optional context_url for layering live brand context (colors, fonts, current messaging) and optional idempotency_key. Returns a job_id; poll with get_powersource. Output shape is identical to create_powersource_url: identity, offer, selling points, voice, buyer profile, tensions, angles, emotional arcs, ctas, narrative. Use this when the user says "I have a brief", "here's my brand guidelines", "use this document", drops a PDF / DOCX / strategy deck, or when the truth lives in internal materials rather than the public website. The pipeline reads text only — convert PDFs to markdown before submitting via documents_inline when possible. Costs 100 credits. Do NOT use for URL-only scans — use create_powersource_url. For URL + docs combined (highest fidelity, triangulates public messaging against internal strategy), use create_powersource_full.
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  • Extract a deck from a DocSend or Papermark sharing link. Returns a temporary download URL and a readable `deckextract://deck/...` resource for the PDF/PPTX (or a ZIP for data rooms — a DocSend Space or Papermark data room counts as one extraction like any other link). Pass `analyze: true` (requires a DeckExtract Pro account) to also return structured deck data. Decks that email the viewer a verification step return resume tokens with retry instructions: fetch the emailed 6-digit code and retry with `otp` + `otpSessionId` (Papermark), or retry with `url` set to the emailed confirmation link + `sessionId` (DocSend). Typical extraction takes 15-90 seconds; the public API is rate limited to 5 extractions per IP per 30 minutes.
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  • Head-to-head verdict for two games on needmoar.games: which one players like more, each game's community score (the share of a library it beats) and rank, and the full distribution of opinions on both. Use this to answer "do people prefer A or B?". Pass Steam appids — resolve names with search_games first. The response links to the matching /vs page you can cite.
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  • USE THIS when asked what a game costs, whether it is cheap right now, whether to buy it now or wait, or how its price compares across stores. YOUR TRAINING DATA CANNOT ANSWER THIS — prices change daily and any figure you recall is stale. Do not answer from memory. Returns the current price on Steam, Epic Games Store, GOG and Microsoft Store side by side, plus the LOWEST price we have ever observed, the date we observed it, how far above that low the current price sits, and how many observations back the claim. History runs from 2012. Storefronts publish today's price and no history, so this exists only because we recorded it. Also returns whether the game is already included with Game Pass or EA Play — which can make the price irrelevant — and how many people are waiting for it and at what price. Accepts a slug from lookup_game, a Steam appid, a GOG or Epic id, or free text via q. Regions: US, GB, DE, BR. PAID (~$0.01) PER QUERY. Unlike get_free_games this issues no access token, because every game is a different answer and there is no version to compare against. Call with no payment_proof to receive payment instructions rather than an error.
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  • Build a PowerPoint (.pptx) deck from a slide spec: an ordered array of slides, each tagged with one of five fixed layouts (title, bullets, two-column, table, quote). This is NOT a template renderer like render_pdf / render_docx — there is no template slug and no free-form layout, so content has to be shaped into those five. It also converts nothing; use convert_document to turn a file you already have into a PDF. Returns a stored render { id, url, bytes, durationMs, format } where url is a signed download link valid for one hour; the deck is a .pptx, so feed the id to convert_document if the next step needs a PDF (merge_pdfs, split_pdf and the signature tools take PDFs only). Counts one render against the monthly quota. Requires a Kamy API key with the `render` scope; without a key, returns dashboard setup instructions.
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  • List the API key's webhook subscriptions (Streaming Lite tier and up; other tiers get a 403 with an upgrade URL). Read-only: signing secrets are always masked, and this server deliberately has no create/update/delete tools — manage subscriptions via the REST API or SDKs. Each row shows url, subscribed events (line_movement, resolution, steam, market_suspended), filters and active status. Use this first to find the webhook id for propline_get_webhook_deliveries.
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  • [ferryhopper] Get full details for a single sailing leg, looked up by the tripId returned by search_trips_v2. Returns the trip's departure/arrival time, ports, and operating company, plus the vessel's technical specs, onboard amenities, and photos. Use this to answer questions about a vessel such as: does it have wifi / a restaurant / a snack bar / an open deck / a lift or elevator / wheelchair or disabled access / a designated smoking area? Is it pet-friendly, or does it allow pets on board? Does it have cabins, or a garage / vehicle deck for cars and motorbikes? How many passengers or vehicles does it carry (capacity)? How long is the vessel (length in meters)? What is its IMO number or MMSI (maritime identification numbers used for registry/tracking lookups)? Is this vessel accessible, family-friendly, or suitable for passengers who need mobility assistance? What does the vessel look like (photos)? If no detailed specs exist for the vessel in the source system, vessel.hasDetails is returned as false and every spec/amenity field is null — this means the data is unavailable, not that the vessel lacks that amenity. Also returns the trip's bookable accommodation tiers (seat/cabin classes) with their price and a photo of that accommodation, when available. Throws if the tripId is malformed or the trip is no longer bookable (e.g. it has already departed, was cancelled, or sold out) — re-run search_trips_v2 to get a fresh tripId in that case.
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  • Publish a post to one of the user’s LinkedIn COMPANY PAGES — text, plus optionally an image, a video, a 2–20 image CAROUSEL (LinkedIn calls it a MultiImage post; pass the slides in order as imageUrls[]), or a LINK POST with a real preview card (linkUrl). USE linkUrl WHENEVER THE POINT OF THE POST IS A LINK: LinkedIn disables URL scraping for API partners, so a url sitting in the text renders as plain text with no card, and the card’s title, description and image only exist if you pass linkTitle / linkDescription / linkThumbnailUrl — read them off the page and supply them. The media need not be a Hermoso render — it must be Hermoso-HOSTED because we upload the bytes to LinkedIn ourselves, and upload_file turns ANY file the user already has into such a URL. ORGANIC CAROUSELS ARE COMPANY-PAGE ONLY — a personal profile cannot publish one and is refused by name, so send a deck here rather than to post_to_linkedin. This is a DIFFERENT thing from post_to_linkedin, which publishes to the person’s own profile: pick the one the user actually asked for and never substitute. organizationId comes from list_linkedin_pages; omit it only when the account administers exactly one Page. This PUBLISHES immediately and PUBLICLY — ALWAYS show the user the exact text and get an explicit yes BEFORE calling. A VIDEO POST CAN CARRY CAPTIONS AND ITS OWN COVER, and both are attached only during the upload: pass captionsSrt (SubRip content — LinkedIn is watched with the sound off) and videoThumbnailUrl (otherwise LinkedIn picks a frame for you). LinkedIn does NOT allow the image, video, captions or thumbnail of a published post to be swapped afterwards, so get all of that right first (the copy can still be edited with manage_linkedin_post).
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  • File an ADJUSTING JOURNAL ENTRY as a draft in Taokeh — the accountant's entry, not a document: accruals, prepayments, depreciation, corrections, reclassifications, year-end adjustments, and REVERSING entries. This does NOT post to the books: it creates a pending draft with the debits and the credits laid out for the user to see, and only their approval writes it to the ledger. Shape the fields with intake_contract(doc_type:'journal') first — it returns this company's REAL chart of accounts, which is what every accountRef must match. IT MUST BALANCE TO THE SEN: debits equal credits or the draft is refused, with the difference named. Each line carries exactly one side (debit OR credit), and at least two lines are required. Accounts are matched by CODE (best) or by their exact name; an unknown ref is refused and an ambiguous name reports the candidates rather than picking. THIS TOOL NEVER CREATES AN ACCOUNT — if the adjustment needs one that does not exist, tell the user to add it in Taokeh and file again. FIXING A WRONG ENTRY THAT IS ALREADY POSTED: file a REVERSING entry here. Taokeh's connector never edits and never deletes posted history — that is deliberate and it is the point: a ledger you can rewrite is not a ledger, and every entry must stay auditable. So find the wrong entry with search_journal, file a reversing journal dated today (its debits become credits and its credits become debits, same accounts, same amounts), then file the correct entry. Tell the user plainly that this is what you are doing and why, rather than reporting that you 'cannot' fix it. CONTROL ACCOUNTS ARE ALLOWED BUT NEVER SILENT: a line on accounts receivable, accounts payable, inventory, the SST control or opening-balance equity is reconciled to a subledger, so a journal there moves the control with no document behind it and the aging-vs-control tie-out will show the difference. Such a draft is filed and flagged — it can be approved ONLY on its full review page in Taokeh, never by a one-tap email approval or a deck swipe. Say in `notes` why the control line is right. WHAT NOT TO USE THIS FOR: anything that has a real document. A supplier bill is create_bill_draft, a sale is create_invoice_draft, a paid expense is create_expense_draft, a customer payment is create_receipt_draft. Those carry party, SST and stock consequences a raw journal silently skips. Attach the WORKING PAPER you read the adjustment off — the depreciation schedule, the accrual computation, the bank letter. It rides the draft and the approver sees it beside your figures. Prefer request_attachment_upload → attachmentToken; if your shell cannot reach taokeh.my (a sandboxed client behind a network allowlist) send attachmentBase64 + attachmentMediaType inline instead — correct even for a full PDF — always with attachmentBytes, the file’s decoded size on disk, so a truncated paste is rejected instead of filed. Never both. Set needsReview and add a SHORT reviewer note in `notes` for any doubt. Filed it wrong? Use revise_draft (kind: 'journal') rather than filing a second one.
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  • One call: create a hosted GPU job, upload the deck given INLINE as {relative_path: text}, and queue it. Total inline size <= 8 MB; for larger decks use create_job, PUT the tarball to upload_url, then start_job. Billing starts at the first heartbeat (state running) and stops at done/failed/cancelled. The deck is executed as a program on an isolated GPU pod.
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  • Create a complete PowerPoint presentation (.pptx): a whole multi-slide deck, native and editable, in one call. `slides` is a list of create_slide intents (same form menu + data shapes — see create_slide). Slides fill in parallel and merge into one themed PPTX with page numbers. Include furniture: a hero_statement cover, section_divider breaks, and a closing (hero_statement variant=contact_closing via blocks-free slots). BLOCKED ($0)? If an error has `can_autofix:true`, merge its `patch` into the args at `patch_target`. Unchanged retries repeat the block. New form: browse_catalog(type=schema) first. Also: mode=assemble merges existing slide job_ids as-rendered (free; theme_id does NOT re-theme them — render with create_deck(slides=[…], theme_id=…) for a unified theme); mode=fork clones a deck (free). Polling: deck_id == job_id — manage_account(action=job, job_id=<deck_id>).
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  • Look up air-cargo ULD (Unit Load Device) specifications — 16 types spanning lower-deck containers (AKE/LD3 and family), main-deck pallets (PMC, PAG and family) and temperature-controlled units. Each record carries external/internal/door dimensions (cm), tare and max gross weight (kg), usable volume (m³), deck position and compatible aircraft. Provide type as an IATA code ("AKE", "PMC") or slug ("ake-ld3"); omit it to list all 16; category (container | pallet | special) and deck (lower | main) filter the list. Behavior: read-only; an unknown type errors with the valid list; per-record provenance (sources, audited_at, decision_rationale) is included. Rate-limited (anonymous use: 25 requests/day per IP): a 429 error body carries retry_after_seconds and a Retry-After header — back off and retry, or call get_subscribe_link for higher limits. Returns: the ULD record (or filtered list) under result, plus confidence, _source and citation (the FreightUtils v1 response envelope). Limitations: specs are compiled from manufacturer and carrier-published sources with ≥7 cited sources per record. Provenance is PENDING, not verified — read the envelope's provenance_status rather than this sentence. Second-agent coverage is now COMPLETE — every cited record-URL pairing has been opened and verdicted by a second agent, and 145 of 148 citations carry a timestamped read (the 3 without one were never opened, and say so). COVERAGE IS NOT AGREEMENT, which is why provenance is still pending: reading every page is what made the disagreements visible, not what resolved them. The second agent also WITHDRAWS stamps — pages a first pass had confirmed turned out not to list the code, or to disagree once somebody read the words around them — so treat an unstamped citation as evidence that was tried and failed, not evidence not yet gathered. CORROBORATION IS COUNTED BY PUBLISHER, NOT BY URL: the 148 citations resolve to 125 distinct sources, because several records cite one publisher at several of its own addresses (one carrier's pallet table appears in three of its documents) and several forwarders republish a single upstream template. Two citations of the same source cannot corroborate each other, so a long source list is not the same as a well-corroborated record. Treat tare_weight with particular caution: it is confirmed by no non-tertiary source on 13 of the 16 records. PGA's 565 kg is now read-confirmed by one carrier (Cathay, basis stated on the page as including nets) while two other carrier pages publish 535 kg and 505-545 kg on that same basis, so it is the top of a contested band rather than an agreed figure. Confidence is medium and a PROVENANCE_PENDING advisory rides every response. Pallet records (PMC, PAG, PGA, PLA, PAJ, PMCQ7) have NO internal dimensions — a pallet has no walls or roof; read max_build_up_height_cm for the aircraft contour ceiling and do not multiply dimensions to get a volume. Airline-specific ULD variants still differ; confirm operationally critical dimensions with the carrier. Related: chargeable_weight_calculator (what the cargo inside is billed at), container_lookup (the sea-freight equivalent), airline_lookup (whose aircraft it flies on).
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  • Calculates loading metres (Lademeter, LDM) -- the floor-space unit (Ladefläche) that governs European road freight -- for a list of cargo pieces, plus the equivalent number of pallet places (Palettenstellplätze, Stellplätze). Answers questions like "wie viele Lademeter" or "wieviel Platz brauche ich im Lkw". Units: length_cm and width_cm (Länge/Breite in cm) per piece. weight_kg_per_piece (Gewicht in kg) is optional. Formula: LDM = sum(length_cm x width_cm x quantity) / reference_deck_width_cm / 100. Height is irrelevant here -- LDM is a floor-footprint metric, not a volume one (for volumetric/chargeable weight, use calculate_chargeable_weight instead). Reference width: Lademeter (LDM) is always computed at the fixed 240cm (2.4m) reference lane -- this is a commercial road-freight convention, not a DIN/EN/ISO/VDI standard, and does not vary by vehicle. If vehicle_id names one of the loadable vehicle profiles (e.g. "semi_136" = Sattelzug 13,6 m, "rigid_75" = 7,5-Tonner), the response additionally reports deck_length_m: how much of that specific vehicle's own deck length the cargo occupies -- a different, vehicle-specific quantity, not the LDM figure. Pallet-place equivalents are also computed at the 240cm reference lane. Worked example: 8 Europaletten/EUR-Paletten (120cm x 80cm) at the standard 240cm width = (120*80*8)/240/100 = 3.2 LDM, equivalent to 8 Palettenstellplätze (one Europalette occupies 0.4 LDM at this width). An Industriepalette (120x100cm) occupies more floor space per unit: 0.5 LDM at the same width. Edge cases: an unknown vehicle_id returns the list of available vehicles instead of guessing -- it never silently picks one. If any piece omits weight_kg_per_piece, total_weight_kg is returned as null rather than an incomplete partial sum. Maximum 100 piece lines (use quantity to combine identical pieces).
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