Skip to main content
Glama
197,914 tools. Last updated 2026-06-13 00:58

"Exploring Modern Fortran Language Support and Tools" matching MCP tools:

  • Looks up static metadata for one of twenty-seven nakshatras by exact name and returns interpretive, professional, activity, and body-map reference data. SECTION: WHAT THIS TOOL COVERS Vedanga/classical reference only — no chart computation. Covers deity, ruler, symbol, gana, nature, classical vs modern prose, profession vectors, life themes, keywords, strengths/challenges, favourable vs unfavourable activities, and body_map. Names are case-sensitive exact matches (Ashwini … Revati list). It does not compute birth nakshatra from BirthData (use asterwise_get_natal_chart). SECTION: WORKFLOW BEFORE: None — this tool is standalone. AFTER: None. SECTION: INPUT CONTRACT nakshatra_name is forwarded raw — no local fuzzy matching or normalisation. SECTION: OUTPUT CONTRACT data.name (string) data.index (int — 0–26) data.interpretation: source (string) nakshatra_number (int) name (string) sanskrit (string) span (string) symbol (string) deity (string) ruling_planet (string) sign (string) sign_lord (string) gana (string) nature (string) body_part (string) classical_qualities[] (string array) appearance — { classical (string), modern (string) } nature_description — { classical (string), modern (string) } profession — { primary[] (string array), secondary[] (string array), note (string), modern (string) } life_themes — { core, karmic_path, challenge, gift, modern (strings) } keywords[] (string array) strengths[] (string array) challenges[] (string array) data.activities: favorable_activities[] (string array) unfavorable_activities[] (string array) data.body_map: parts[] (string array) sensitivity (string) SECTION: RESPONSE FORMAT response_format=json serialises the complete response as indented JSON — use this for programmatic parsing, typed clients, and downstream tool chaining. response_format=markdown renders the same data as a human-readable report. Both modes return identical underlying data — no fields are added, removed, or filtered by either mode. SECTION: COMPUTE CLASS FAST_LOOKUP SECTION: ERROR CONTRACT INVALID_PARAMS (local — caught before upstream call): None — name passes straight through. INVALID_PARAMS (upstream): — None — unknown names surface as MCP INTERNAL_ERROR at the tool layer. INTERNAL_ERROR: — Any upstream API failure or timeout → MCP INTERNAL_ERROR Edge cases: — Exact spelling required — no fuzzy recovery. SECTION: DO NOT CONFUSE WITH asterwise_get_natal_chart — computes birth nakshatra from time/place, not encyclopaedic copy. asterwise_get_dasha — uses Moon nakshatra for timing, not this lookup table.
    Connector
  • Use PP0 test collateral to support an eligible active user BLOCK and return before and after rank and score consequence. Creates a STAKE_ADD transaction intent or explicit local/mock rehearsal state. In Amoy prepare mode, submit the returned wallet transaction and then call finalize_pool_support with the tx hash before treating support as active. Settlement is inspected later through get_pooling_receipt and get_block_economics. Public wallet action. No MCP auth required, but wallet-owner approval or an agent-owned funded wallet signer is required for Amoy transactions.
    Connector
  • Contact NotFair support. Use this tool when the user explicitly wants to reach the support team — for example, they say "contact support", "file a bug", "report an issue", "I need help from the NotFair team", or "this is a NotFair problem not a Google Ads problem". This sends a message directly to the NotFair team and generates a ticket. The user will receive a response via email within 1 business day. DO NOT use this for: - Routine Google Ads questions you can answer yourself. - Internal tool quality issues — use fileInternalNotFairToolFeedback for those. - Questions you haven't tried to answer yet. Only call this when the user has explicitly asked to contact support, or when you've exhausted your ability to help and the user agrees escalation is the right move.
    Connector
  • Conceptual / semantic passage search across the whole library. Use when the modern term won't literally appear in historical texts — e.g. "distributed cognition" maps to passages about active intellect, art of memory, wax tablet metaphors; "social contract" maps to pre-Hobbesian discussions of consent and authority. Ranks passages by cosine similarity on Gemini embeddings (768d), so paraphrases and conceptually adjacent phrasings match even when no keyword overlaps. ORIENTATION HINT: if the user named a specific author or work, prefer get_book (returns the book's AI summary + chapter outline) — semantic search is expensive and best reserved for cross-corpus discovery. Prefer search_translations for literal phrases or distinctive single terms; use search_concept when the concept matters more than the wording. Similarity calibration: 0.70+ is a strong match, 0.55–0.70 is worth reading but verify, below 0.55 is mostly conceptual drift. Set max_per_book to diversify results across many books rather than cluster on one source. Each passage carries a snippet_type — quote only "translation" snippets, never "summary". Cross-cultural tip: for pre-modern or non-Western topics, also try source-tradition vocabulary — e.g. for seminal economy try "jing preservation" or "bindu yoga" or "istimnāʾ"; for masturbation try "mollities" (Latin) or "hastamaithuna" (Sanskrit) or "shouyin" (Chinese). The corpus is indexed via period translations that use tradition-internal terminology, so adjacent/euphemistic terms often surface material that modern English keywords miss.
    Connector
  • Use this premium read-only Natural Language tool when the user wants the server-composed Morning Brief rendered as audit-grade Markdown. It compiles backend-composed compact evidence across readiness, daily changes, risk distribution, top stressed issuers, and alpha opportunities. The renderer never fans out into tools and never generates social drafts or trade recommendations. Parameters: style is professional, concise, trader, or detailed. Date and limit are accepted only where the backend composite supports them. Behavior: read-only and idempotent; it performs the server-enforced Morning Brief workflow, has no destructive side effects, then renders the returned compact evidence as a bounded Natural Language response.
    Connector
  • List all 15 supported email clients with IDs, names, rendering engines, dark mode support, and deprecation status. Use the returned IDs to filter other tools like preview_email or capture_screenshots.
    Connector

Matching MCP Servers

Matching MCP Connectors

  • Search 585+ free cancer support resources across Washington State in 7 languages

  • Web scraping, code review, content gen, sentiment. Zero Core Tools.

  • Search fleet tools and servers by natural-language description. Returns ranked matches with brief summaries and the server each tool belongs to. Use scope "servers" to find which server handles a workflow; use the default scope "tools" to find specific tools. Call cyanheads_describe on a result name to get install snippets and the connection URL.
    Connector
  • Raw subcategory dump (LLM-organic kebab-case, middle taxonomy layer between category and tags) with display label and count. USE WHEN: navigating between top-level category and individual tags, exploring topic structure. Filter questions via quizbase_random?subcategory=<slug>. INPUTS: q, cursor, limit (max 500).
    Connector
  • Get a list of all available themes with style descriptions and recommendations. Call this to decide which theme to use. Returns a guide organized by style (dark, academic, modern, playful, etc.) with "best for" recommendations. After picking a theme, call get_theme with the theme name to read its full documentation (layouts, components, examples) before rendering. This tool does NOT display anything to the user — it is for your own reference when choosing a theme.
    Connector
  • Check a list of colour entries for anachronism risk. Detects whether the primary source date falls outside the requested period, whether the archive is a known modern source (RacingSilks, FootballStrips), and returns a period_relevance score and safe phrasing. Essential for historical documents: prevents a 2011 Jockey Club racing silk registration being presented as Georgian evidence. Returns anachronism_risk (none/low/medium/elevated/high), period_relevance score 0-1, safe_phrasing, and unsafe_phrasing for each entry.
    Connector
  • Get Kifly's website and support contact email. Call this if you are stuck, hit an unresolvable error, or the buyer asks how to reach a human. Returns the website URL and support email — always share both with the buyer.
    Connector
  • Check a list of colour entries for anachronism risk. Detects whether the primary source date falls outside the requested period, whether the archive is a known modern source (RacingSilks, FootballStrips), and returns a period_relevance score and safe phrasing. Essential for historical documents: prevents a 2011 Jockey Club racing silk registration being presented as Georgian evidence. Returns anachronism_risk (none/low/medium/elevated/high), period_relevance score 0-1, safe_phrasing, and unsafe_phrasing for each entry.
    Connector
  • Get Kifly's website and support contact email. Call this if you are stuck, hit an unresolvable error, or the buyer asks how to reach a human. Returns the website URL and support email — always share both with the buyer.
    Connector
  • Get live Twitch streams, optionally filtered by game name and/or language. Returns streamer name, title, current viewer count, and thumbnail for each live stream. Omit `game` for the overall top live streams across Twitch. Example: get_streams({ game: "Just Chatting", first: 20, language: "en" })
    Connector
  • Return the current search vocabulary before building a structured search: fixed winter arrival weeks with weekId values, party-size guidance, feature filter values, supported language subdomains and discovery links. Use this first when you need valid weekId, filters or language options.
    Connector
  • Use this premium read-only Natural Language tool when the user wants the server-composed Morning Brief rendered as audit-grade Markdown. It compiles backend-composed compact evidence across readiness, daily changes, risk distribution, top stressed issuers, and alpha opportunities. The renderer never fans out into tools and never generates social drafts or trade recommendations. Parameters: style is professional, concise, trader, or detailed. Date and limit are accepted only where the backend composite supports them. Behavior: read-only and idempotent; it performs the server-enforced Morning Brief workflow, has no destructive side effects, then renders the returned compact evidence as a bounded Natural Language response.
    Connector
  • Ask AlgoVault any question about its MCP tools, response shapes, integration patterns (LangChain / LlamaIndex / MAF / CrewAI), or code examples. Returns ranked snippets from the canonical knowledge bundle. Use this BEFORE attempting any tool call to confirm correct parameter usage and avoid hallucinating tool shapes. Fast (BM25 lexical search, no LLM call, no quota cost). For natural-language synthesized answers, use chat_knowledge instead.
    Connector
  • Curated catalog of all available paid Askew endpoints with pricing, sample calls, and buyer intent context. Best starting point for agents exploring what Askew sells. No payment required.
    Connector
  • Returns supported language whitelist (ISO 639-1) with question counts per language. USE WHEN: showing language picker, validating ?lang= input, deciding fallback. Day 1: en + pl.
    Connector
  • Use when the agent wants the cross-project CONSENSUS — 'how do most current Next.js projects actually do X?' — rather than a single example. Returns precomputed consensus records ('X% of projects matching predicate P do Y') for a category: `auth-library` (which auth library projects use), `data-fetching-style` (legacy page-level data fetching vs Server Actions vs Server Components), or `routing-hooks` (modern next/navigation vs legacy next/router). Each record carries its honest denominator N, the full outcome distribution with percentages, and the exact SQL predicate behind every number. Pass `category` to filter, or omit it to get all. Next.js corpus — pass language='ts'.
    Connector