Skip to main content
Glama
741,819 tools. Updated 2026-11-04 09:25

"An in-memory data store for caching and message brokering" matching MCP tools:

  • Search or list stores in the Partle marketplace. Use for store-led questions ("what hardware shops are in Madrid?") rather than product-led ones (use `search_products` for that). Pass no query to browse the whole catalog. Read-only. No authentication. Rate-limited to 100 requests/hour per IP. Args: query: Free-text search over store name and address. Omit to list all stores in default order. limit: Max results (1–50, default 20). Returns: A list of stores with `id`, `name`, `address`, `lat`/`lon` (when geocoded), `homepage`, `type`, and `product_count` (active listings in the store — useful for competitive-landscape sizing without a separate `search_products` round-trip). Pass `id` to `search_products(store_id=…)` to filter the product catalog by that store.
    ConnectorNo auth
  • Search or list stores in the Partle marketplace. Use for store-led questions ("what hardware shops are in Madrid?") rather than product-led ones (use `search_products` for that). Pass no query to browse the whole catalog. Read-only. No authentication. Rate-limited to 100 requests/hour per IP. Args: query: Free-text search over store name and address. Omit to list all stores in default order. limit: Max results (1–50, default 20). Returns: A list of stores with `id`, `name`, `address`, `lat`/`lon` (when geocoded), `homepage`, `type`, and `product_count` (active listings in the store — useful for competitive-landscape sizing without a separate `search_products` round-trip). Pass `id` to `search_products(store_id=…)` to filter the product catalog by that store.
    ConnectorNo auth
  • Assemble checkout-ready cart(s) in ONE call for a multi-product (and optionally multi-store) request. Creates a cart per store, adds all items, and sets the shipping address — then returns the cart(s) with delivery options to choose. Use this when the buyer lists several products at once (optionally across stores) and/or gives their address up front, instead of calling create_cart/add_to_cart/set_shipping_address separately. Does NOT select delivery, check out, or pay — the buyer picks delivery (select_shipping_option) and approves checkout/payment per store afterward. Out-of-stock items are reported; pass customer.email to auto-arm a back-in-stock alert for them.
    ConnectorNo auth
  • Finds a store by name and returns its current cashback rates from every cashback portal that lists it — online and in-store, percentage or fixed amount, with 'up to' flags — so the user can compare every portal and see the best. This is the preferred first call for any cashback question that names a store: 'best cashback for Walmart', 'highest Nike cashback', 'cashback at Expedia', 'Walmart cashback today', 'compare Walmart cashback portals', 'Best Buy in-store cashback', 'Dell cashback in Germany'. No prior lookup is needed — do not call get_stores_by_name, get_stores_by_country or get_countries first. Returns every matching store (best match first, one entry per country), each with its 'cashback_rates'; an empty list means no match — retry with a shorter name or without country_code. Use get_cashback_rates_by_store_id only when a store_id is already known, get_gift_cards_by_store_name for gift card discounts, and get_best_deals_by_brand when the user asks where to buy a brand's products rather than about a specific store. Rates reflect GotCashback's current data, refreshed several times a day. Present every returned portal's rate to the user (a table with a link column, not only the best one) and always show each rate's 'url' as a clickable link — cashback is only credited when the user clicks through it.
    ConnectorNo auth
  • Finds a store by name and returns its current cashback rates from every cashback portal that lists it — online and in-store, percentage or fixed amount, with 'up to' flags — so the user can compare every portal and see the best. This is the preferred first call for any cashback question that names a store: 'best cashback for Walmart', 'highest Nike cashback', 'cashback at Expedia', 'Walmart cashback today', 'compare Walmart cashback portals', 'Best Buy in-store cashback', 'Dell cashback in Germany'. No prior lookup is needed — do not call get_stores_by_name, get_stores_by_country or get_countries first. Returns every matching store (best match first, one entry per country), each with its 'cashback_rates'; an empty list means no match — retry with a shorter name or without country_code. Use get_cashback_rates_by_store_id only when a store_id is already known, get_gift_cards_by_store_name for gift card discounts, and get_best_deals_by_brand when the user asks where to buy a brand's products rather than about a specific store. Rates reflect GotCashback's current data, refreshed several times a day. Present every returned portal's rate to the user (a table with a link column, not only the best one) and always show each rate's 'url' as a clickable link — cashback is only credited when the user clicks through it.
    ConnectorNo auth
  • Decode a database error and get the fix and the next step — no connection needed. Paste a MySQL error number (1213, 1062, 1452, 1205…) or a PostgreSQL SQLSTATE (40P01, 23505, 53300…), optionally with the failing statement, and get the proximate cause, the concrete fix, and — when it helps — the SIXTA tool and artifact to go deeper (e.g. a deadlock → paste SHOW ENGINE INNODB STATUS for sixta_explain_deadlock). Use when the user pastes a DB error code or message. Input is analyzed in memory and never stored.
    ConnectorOAuth

Matching MCP Servers

Matching MCP Connectors

  • Encrypted long-term memory shared across your AI assistants (Claude, ChatGPT, Perplexity).

  • India Open Government Data (OGD) Platform MCP — data.gov.in

  • Analyze text for writing style issues: weasel words, passive voice, duplicate words, long sentences, nominalizations, hedging, filler adverbs, and research-cited AI tells. Read-only and stateless — text is analyzed in memory on the hosted server and never stored. Returns a plain-text report with each issue's line and column, the matched text, surrounding context, and the reason for AI tells; texts over 100,000 characters return an error message. This hosted server has no filesystem access — the wsc-mcp npm package adds a check_file tool for local files. It only reports issues — to auto-remove duplicate words, follow up with fix_duplicates.
    ConnectorNo auth
  • Build a ReceiverProfile (TI, SG, FT, UE, AR — continuous 0-100, never a category label) from five behavioral forced-choice answers. Call with NO answers to get the five questions to ask the user; call again with their answers (a/b/c per primitive) to get the profile. Store the returned profile JSON in the user’s notes or memory and pass it to render_reply / prepare_prompt on every turn. Deterministic and stateless — nothing is stored server-side. Schema: https://rpcs1.dev/v1/receiver-profile.json
    ConnectorNo auth
  • Side effect when confirmSend is true: sends one current draft email or Slack message for review, but does not publish, schedule, or edit the workflow. Use after authoring or inspection when the user wants to verify an important message before publishing. Returns sent-test details, app URLs, a confirmation request, or a clarification request with user-facing message choices. If the test has no data because row level security hides a source table's rows from Dreamlit, returns error code table_rows_hidden_by_rls with unreadableTables[].fixSql to run, or ask the user to run, in the Supabase SQL editor. Do not expose test target ids as copy; ask users to choose by message label and confirm before sending.
    ConnectorNo auth
  • Permanently delete one memory by UUID. When to use: user asks to remove outdated or incorrect context, or to free plan storage. When NOT: fix content → update (mode=replace); find the ID first → list_memories or recall. Requires delete OAuth scope. Non-idempotent: deleting the same memory_id twice fails. Errors: Memory not found, Not authorized to delete this memory. Side effects: removes the memory row and vector embedding with no recovery; invalidates plan cache. The target workspace is always the one the memory itself belongs to (echoed in resolved_workspace); optionally pass workspace: <name> as a safety confirmation — the call fails if the memory is not actually in that workspace.
    Connector
    Destructive
    No auth
  • Update an existing memory by ID. Use mode replace (default) to patch fields, or append to extend content. Re-embeds only when content changes. The target workspace is always the one the memory itself belongs to (echoed in resolved_workspace); optionally pass workspace: <name> as a safety confirmation — the call fails if the memory is not actually in that workspace.
    ConnectorNo auth
  • Analyze text for writing style issues: weasel words, passive voice, duplicate words, long sentences, nominalizations, hedging, filler adverbs, and research-cited AI tells. Read-only and stateless — text is analyzed in memory on the hosted server and never stored. Returns a plain-text report with each issue's line and column, the matched text, surrounding context, and the reason for AI tells; texts over 100,000 characters return an error message. This hosted server has no filesystem access — the wsc-mcp npm package adds a check_file tool for local files. It only reports issues — to auto-remove duplicate words, follow up with fix_duplicates.
    ConnectorNo auth
  • A table of contents for this user's memory: which sources are connected (email, calendar, docs, …), how many items each holds, and the top people, topics and projects. It is an index rather than an answer — it contains no message bodies, no dates and no content, so it establishes that a source exists without saying anything about what is in it. The content behind any entry it lists is retrievable with cortex_ask.
    ConnectorNo auth
  • 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.
    ConnectorNo auth
  • Verify a list of email addresses (2 to 10,000) as one bulk job using the full ClearBounce bulk pipeline — per-domain caching and greylist retries give better accuracy than verifying one by one. Costs 1 credit per unique address; duplicates are removed for free. Returns a jobId immediately (the job runs in the background, roughly 1-10 minutes depending on size). Use check_bulk_status with the jobId to get progress and the final summary. Before starting a large list, confirm with the user that spending that many credits is intended.
    ConnectorNo auth
  • Returns the current online and in-store cashback rates from every cashback portal for one store identified by its numeric store_id, so the user can compare every portal and see the best. Use it only when a store_id is already known from an earlier result (a store, deals, favorites or alerts response). When the user gives a store name instead, call get_cashback_rates_by_store_name directly — do not look the id up first. Returns an error when the id does not exist. Rates reflect GotCashback's current data, refreshed several times a day. Present every returned portal's rate to the user (a table with a link column, not only the best one) and always show each rate's 'url' as a clickable link — cashback is only credited when the user clicks through it.
    ConnectorNo auth
  • Mark messages as unread, restoring the state they were in before something marked them read. This is the undo for mark_read, and it is the one to reach for when a triage pass marked more than the person meant. Pass the whole set in ONE call. Verified the same way mark_read is: the flags are read back off the server, so a message that could not be changed is named rather than assumed done. A uid only means something in the folder it came from, so pass `mailbox` when the uids did not come from INBOX. Marking a message that is already unread changes nothing and is not an error. It does not touch anything else - a message stays flagged, answered and where it was.
    ConnectorOAuth
  • Validates a Python automation script that runs OUTSIDE the game, on three axes: Python syntax (using the real interpreter), Minecraft commands embedded in the script (against the official command index), and the shape of the /connect WebSocket message envelope. For behavior pack scripts use validate_script instead — Python does not run inside a pack. The embedded command check is the most valuable one: a command written from memory can look syntactically fine and still do nothing in the game. Only strings starting with / are treated as commands. If syntax could not be checked, syntaxChecked is false in the result; ok:true alone does not mean the syntax is valid.
    ConnectorNo auth
  • Returns the current online and in-store cashback rates from every cashback portal for one store identified by its numeric store_id, so the user can compare every portal and see the best. Use it only when a store_id is already known from an earlier result (a store, deals, favorites or alerts response). When the user gives a store name instead, call get_cashback_rates_by_store_name directly — do not look the id up first. Returns an error when the id does not exist. Rates reflect GotCashback's current data, refreshed several times a day. Present every returned portal's rate to the user (a table with a link column, not only the best one) and always show each rate's 'url' as a clickable link — cashback is only credited when the user clicks through it.
    ConnectorNo auth
  • Email the free FineRx discount card to an address the person gave you. Use ONLY after the person has given an email address AND confirmed they want the card sent there — ask for both first, then set ``consent`` to true. The message contains the card and nothing else; FineRx does not store the address. Returns ``sent`` true with the masked address, or ``sent`` false with the reason. On an error, say what happened and offer the printable card or the link instead. Do not retry a refusal or read the full address back.
    Connector
    Destructive
    No auth
  • Write /data/{name}.json on the live site without a deploy (Pro/Scale). Page JS keeps fetch("/data/{name}.json"). JSON must be an object or array, max 256 KB. Include the file in the next deploy or a repo upload that omits it can wipe it. Do not store secrets — the URL is public. Free: upload the JSON and call deploy instead.
    ConnectorNo auth