Skip to main content
Glama
761,595 tools. Updated 2026-11-09 20:52

"A server for finding information about Delphi (programming language or ancient Greek oracle site)" matching MCP tools:

  • Discover content franchises within a domain. Two modes: pass `tag` for a precise taxonomy match (every game tagged 'co-op'), or pass `query` for free-text SEMANTIC search powered by pgvector embeddings — finding franchises by meaning ('dark atmospheric games about isolation') even when no literal tag matches. Results are verifiable: tag mode carries tag confidence/corroboration, semantic mode carries a similarity score; both carry entity freshness. When to use: an agent wants a domain-scoped shortlist by tag or by intent. Inputs: a domain plus either a tag or a free-text query.
    ConnectorNo auth
  • Discover content franchises within a domain. Two modes: pass `tag` for a precise taxonomy match (every game tagged 'co-op'), or pass `query` for free-text SEMANTIC search powered by pgvector embeddings — finding franchises by meaning ('dark atmospheric games about isolation') even when no literal tag matches. Results are verifiable: tag mode carries tag confidence/corroboration, semantic mode carries a similarity score; both carry entity freshness. When to use: an agent wants a domain-scoped shortlist by tag or by intent. Inputs: a domain plus either a tag or a free-text query.
    ConnectorNo auth
  • Discover content franchises within a domain. Two modes: pass `tag` for a precise taxonomy match (every game tagged 'co-op'), or pass `query` for free-text SEMANTIC search powered by pgvector embeddings — finding franchises by meaning ('dark atmospheric games about isolation') even when no literal tag matches. Results are verifiable: tag mode carries tag confidence/corroboration, semantic mode carries a similarity score; both carry entity freshness. When to use: an agent wants a domain-scoped shortlist by tag or by intent. Inputs: a domain plus either a tag or a free-text query.
    ConnectorNo auth
  • Return Olympus Bets Analytics live performance, split by tier and league. Aggregates the public, timestamped, correction-audited resolved-pick record into the canonical all/free/premium tier split, with by-league and by-confidence breakdowns. Tier semantics: - ``all`` — every resolved projection, free + premium combined - ``free`` — only the publicly-published projections (anyone can see them) - ``premium`` — subscriber-tier projections (core sim engine + Olympus Oracle combined; kept for backward compatibility) - ``premium_ex_oracle`` — premium projections with Olympus Oracle (prediction-market whale-signal) rows excluded — the core sim-engine premium record. Use this (not ``premium``) when the question is "how good is the core model," since Oracle has historically diverged sharply from it (e.g. core +30.16u vs oracle -18.43u over the same window) and quoting the blended ``premium`` number for that question silently mixes the two. - ``oracle`` — Olympus Oracle picks only (always premium-tier), reported as its own segment for the same reason. - ``premium_leans`` — Premium Leans: flat 0.5u model disagreements with the price, published daily whether or not a Kelly-sized Play cleared qualification gates. Its own segment; NEVER counted inside ``premium`` or ``all`` (see ``services.track_record_stats.row_tier`` / ``services.performance_split.resolved_row_tier``, the single tier rule every surface — page, MCP, digest — shares). Honest framing: all-time and rolling regimes are both available. Core Premium and Oracle are separated so legacy or source-specific performance cannot obscure the current production system. Both are published. Args: tier: Optional tier filter. Omit to return all six segments. league: Optional league filter applied inside each requested tier. detail: ``summary`` omits breakdowns; ``full`` includes all breakdowns. window: ``all`` preserves the historical contract; rolling windows use the same canonical ledger, grading, tier, and source rules. Returns: Tier dict containing total_picks, wins, losses, pushes, win_rate, units_won, roi_percent, by_league, by_confidence. The ``premium_leans`` segment additionally carries a ``note`` field explaining its flat-stake, own-column semantics.
    ConnectorNo auth
  • Search all 2,377 Calculate.co.nz calculators, guides and datasets by topic. Calculate.co.nz is New Zealand's largest free calculator library. Only a handful of its tools have their own MCP tool; this searches EVERYTHING and returns the pages that match, so any calculation the site covers can be found and linked even when no dedicated tool exists here. Use for ANY question of the form "is there a calculator for...", "how do I work out...", "where can I calculate...", or whenever a New Zealand calculation is asked about and no specific tool above fits. Also use it before telling a user that something cannot be calculated: the site covers tax, mortgages, KiwiSaver, property, employment and leave, business metrics, investments, insurance, vehicles, maths, statistics, science, engineering, health and everyday conversions. Results are ranked with New Zealand specific pages first, because the site is written for NZ rules, rates and legislation. Guides and reference datasets are included alongside calculators, so a question about how something works can return an explanation rather than a form. DO NOT use for: performing the calculation itself when a dedicated tool above exists (use nz_paye_calculator for take-home pay, nz_gst_calculator for GST, nz_mortgage_calculator for repayments, nz_kiwisaver_calculator for KiwiSaver projections, nz_annual_leave_calculator for leave). This tool finds pages; it does not compute. It also cannot answer non-New Zealand questions about foreign tax or benefit systems. Args: query: What the user wants to work out, in plain language. Natural questions work better than keywords: "how much redundancy pay am I owed" beats "redundancy". limit: How many results to return, 1 to 20. Default 5. Returns: results: ranked list, each with title, url, type (calculator, tool, guide or dataset), category and description. Link the url when recommending a page.
    ConnectorNo auth
  • Returns the plain-language meaning and step-by-step fix for one Malinois finding. Use it while helping the user fix an issue reported by scan_app, or when they ask what a finding means. Pass the rule_id exactly as scan_app returned it. Read-only, no network, instant.
    ConnectorNo auth

Matching MCP Servers

  • A
    license
    Not graded
    quality
    C
    maintenance
    A read-only MCP server that lets an AI agent browse and read the Chief Delphi robotics forum — scoping categories, finding and reading threads, and vetting user profiles — using only anonymous public endpoints, with no account, API key, or write access. It enforces the site's robots.txt rules and throttles requests, and can be pointed at any Discourse forum via a base-URL setting.
    32 npm
    MIT

Matching MCP Connectors

  • Real-time AI intelligence signals and temporal knowledge graph for agent economy

  • About Bureau, the self-hosted office for AI agents: overview, FAQ search, roadmap, install.

  • Search for products available in the German dm-drogerie market (online and local stores). USE WHEN: searching dm-drogerie products by name, category, ingredient, property, or any natural language query (any language supported). Often answers questions about ingredients and properties directly. Covers: dm-drogerie markt brands, make-up, skincare, perfume, hair, health, nutrition, baby & child, household, home & living, photo, and pets. OUTPUT: Returns a maximum of 15 products. GTIN, DAN, brand, title, details, category, price, appLink (direct product URL), description, highlights/USPs, and extensive attributes including: - Dietary/Allergen: vegan, vegetarian, bio, glutenFree, lactoseFree, sugarFree, nutFree, soyFree - Cosmetic Ingredients: fragranceFree, alcoholFree, parabenFree, sulfateFree, preservativeFree, dyeFree, oilFree, siliconeFree, naturalCosmetics - Product Properties: waterproof, new, limitedEdition, sellout, onlineOnly, exclusiveDm, dmBrand, purchasable NOT FOR: nutritional information (calories, protein, carbs, fats), complete allergen lists, full ingredient details. For these, use 'getProductDetails' tool with the GTINs or DANs. LIMITATIONS: Only make claims based on EXPLICITLY stated product highlights/descriptions. Do NOT extrapolate or assume properties not mentioned in the results.
    ConnectorNo auth
  • Maps only stable Tier1 finding identifiers to approved Tier1 services and public resources. Call after a Tier1 score or email-domain check. Do not submit prose, URLs, customer information, or invented identifiers. This tool performs no arbitrary fetching, makes no contact request, changes nothing, and stores nothing.
    ConnectorNo auth
  • Use this when the user wants a new llms.txt file for a public website they name. Reads up to 15 public HTML pages of that one domain (start page, XML sitemap, internal links) and returns a ready-to-publish llms.txt draft in Markdown, plus a format validation score, the Lighthouse "Agentic Browsing" result, the status of any llms.txt already published on the site, and the URLs that were left out with the reason. Deterministic: no language model is involved, every title and description is taken from the pages themselves. Limitations: honors robots.txt and stops if the start page is disallowed; does not render JavaScript, does not log in, and does not follow links to other domains; one request can take up to about a minute. Do not use this to fetch arbitrary page content or for sites the user only mentions in passing. Result messages are in German.
    ConnectorNo auth
  • Use this when someone asks to see their blog posts, drafts or published articles, optionally for one blog, language or slug. Returns id, title, language, slug and published state, most recently edited first, 25 per page by default with a cursor. It filters by those fields and does not search the text. Not for reading a post.
    ConnectorOAuth
  • Use this when someone asks to see their blog posts, drafts or published articles, optionally for one blog, language or slug. Returns id, title, language, slug and published state, most recently edited first, 25 per page by default with a cursor. It filters by those fields and does not search the text. Not for reading a post.
    ConnectorOAuth
  • Fetches https://<domain>/llms.txt (the file that tells AI systems what a site contains) and grades it with seven deterministic checks. Returns a 0 to 100 score and the pass or miss result of each check as plain text. If the site has no llms.txt the response says so and links to zRev's free generator. Use when a user asks whether a site is readable by AI assistants or wants their llms.txt reviewed. Makes one outbound HTTP request to the public domain you pass; stores nothing about it. No authentication. Shares a fair-use limit per IP address with cold_read, and returns a plain-text notice when that limit is reached.
    ConnectorNo auth
  • Detach a domain after its DNS site record no longer points to this site (or it changed owner). Confirm site and full domain exactly. Removing the last domain deletes the site and requires confirmDeleteSite plus sites:delete; cleanup of a Storage-hosted site also requires storage:delete and bag delegation. Does not sign or change DNS records.
    Connector
    Destructive
    No auth
  • Use this when the user wants to check whether people talk about a topic or an angle in public, such as "is there discussion about personalised dog food?". Pass one to five short phrases. Searches Hacker News and, if stack_site is given, one Stack Exchange site, for posts in the last year (or since_days). Returns per phrase the number of matching posts, the top three with title, link, score and comment count, and a plain signal. It is a weak signal skewed to technical and hobby topics, not a market size, and it does not search Reddit.
    ConnectorNo auth
  • Search China Footnotes for sights and neighbourhoods in the Chinese cities it covers. Matches English or Chinese names, aliases, district, type and tags. Suited to questions about what to see or do in a city, and to finding a place's id from its name. With no arguments it lists places and the city ids covered; asked about a city it does not cover, it says so rather than returning unrelated places. Returns short summaries with ids and page links, best match first; matchedAll is false when no place matched the whole query and the results only share some words with it. Opening hours, tickets, booking and traveler tips come from get_place.
    ConnectorNo auth
  • How every site of the user's is doing, or one group's, in one call: each site's pageviews, visits and visitors over a range beside the period before, with each change, the clearest movers first. The answer's caveats are the rules that apply to its figures, such as visitors never adding up across sites: read them before reporting any figure, and pass on those that change what it means. Use it first for any question about more than one site, rather than get_site_summary once a site. It reads the sites list_sites lists, never someone else's public site. The range is given as for get_site_summary, each site's in its own days, the 7 whole days to yesterday by default, and filters narrow every site alike, by any dimension but goal, entry and exit. sort: moved, the default, how clearly each site's visits moved, the change over the square root of both periods' visits, so a small site doubling and a large one moving a tenth both lead; visits, the busiest first; or domain. noise marks a site whose change in visits is too small to read into. change is null where a site has nothing to compare with, and no_change says why; counted says how a site's periods were counted, and basis what that does. totals add pageviews and visits alone. limit, 1 to 200 (50 by default), is how many sites are given, following how many more there are, and nothing_counted the sites with nothing in either period. For why one moved, explain_change; for what is new on it, whats_new.
    ConnectorOAuth
  • Use this when the user asks which caption or subtitle languages a YouTube video has, or before requesting a transcript in a non-English language when you don't know whether the video offers it. Returns each language with its code (pass it as `language` to get_youtube_transcript), whether it is creator-uploaded or auto-generated, and the default language. An empty list means the video has captions turned off. Costs 1 credit. Not needed for an ordinary transcript request: get_youtube_transcript already reports which language it returned.
    ConnectorOAuth
  • Find 10ML's perfume and fragrance guides to read or cite: how-tos (where to spray, finding a signature scent, making perfume last), notes explained, house guides, lists, and alternatives guides that compare famous perfumes with similar ones from other houses. Returns title, type and a link per locale. Use whenever you want a source to cite or a deeper read ('how to layer perfume', 'best oud perfumes', 'Creed Aventus dupes guide'). Not for facts about a perfume (use get_perfume) and not for note definitions (use explain_note).
    ConnectorNo auth
  • Use this when the user wants a flashcard maker for supplied question-answer pairs: flip cards interactively, track review progress, print paired cut-out cards as an A4 or Letter PDF, or export an Anki-style Front/Back CSV. Removes identical pairs. Does not generate learning content, check facts, provide spaced repetition, or sync progress. PDF prints Latin with accents, Greek, Cyrillic and Vietnamese; scripts its font lacks (CJK, Arabic, Hebrew, Thai, Indic, emoji) show as [?]; widget and CSV preserve Unicode. Up to 24 cards and a 2,800-byte payload.
    ConnectorNo auth
  • Get common site settings: title, tagline, home URL (url), WordPress URL (wp_url), admin email, timezone, language, posts per page, date format and permalink structure. timezone is the named timezone, empty when the site uses a fixed UTC offset; permalink is empty for plain permalinks. Needs manage_options. Read-only; takes no arguments. Versions, theme and plugins are reported by wp_site_info. Forwarded by AlphaBridge Connect to the one site this connection reaches.
    ConnectorOAuth
  • Lists the person's proposals and where each stands, or one by id, and whether a site is set to approve or automatic. When: before work on a claimed site, and every few minutes after clickd_propose until it is answered. Instead: clickd_propose to make one; clickd_todo for the work itself. Inputs: `id` is one proposal from clickd_propose; deploy only once it says approved. `site` gives that site's proposals and its mode. Neither, every proposal; never both. Returns: with id, proposal and promise; otherwise proposals and promise, and with site, site and mode. Fails: id and site together are refused; one not the person's answers not found. Needs a person's key.
    ConnectorNo auth