"Understanding Cache for Prompt Engineering" matching MCP tools:

• find_referencesA

  Cloud FinOps Skill & MCPA

  Find which guidance serves a FinOps question - how to commit, size, allocate, charge back, forecast, or govern cloud and AI spend. Use this for questions like "how should we size Savings Plans", "what should Finance own in chargeback", "what does a Crawl-stage org tackle first" - anything that maps to FinOps Framework facets (domain, capability, phase, persona, maturity) - and you want only the references that serve it, instead of scanning the full list. All filters are optional and combine with AND semantics. String matching is case-insensitive and exact (not substring). Examples: - ``find_references(domain="Optimize Usage & Cost")`` - ``find_references(phase="Optimize", persona="Engineering")`` - ``find_references(persona="Engineering", persona_primary_only=True)`` - ``find_references(capability="Rate Optimization")`` - ``find_references(maturity="Crawl")`` Args: domain: FinOps Framework domain (e.g. ``"Optimize Usage & Cost"``, ``"Quantify Business Value"``, ``"Manage the FinOps Practice"``). capability: FinOps capability (matches ``fcp_capability`` and ``fcp_capabilities_secondary``). phase: FinOps phase (``"Inform"``, ``"Optimize"``, ``"Operate"``). persona: Persona (matches ``fcp_personas_primary`` and ``fcp_personas_collaborating``). maturity: Entry maturity level (``"Crawl"``, ``"Walk"``, ``"Run"``). persona_primary_only: when True, ``persona`` matches only the primary list. Use it when the default match barely narrows the set - broad personas like Engineering collaborate on nearly every file, so filtering on collaboration is descriptive, not discriminating. ``persona="Engineering", persona_primary_only=True`` is the engineering reading list; the default is the everything-they-touch view. Returns ``{"filters": {...}, "references": [...], "total": N}``. A query that matches nothing also returns `hint` and `valid_values`, so a typo is distinguishable from a genuine gap in coverage.

  ConnectorNo auth

• youtube_shorts_transcriptA

  captapiB

  Transcript for a YouTube Short — rejects long-form videos (≤3 min only). Costs 1 credit. Empty results and failures are never charged. Pass cache=true for a free 24h cache hit (default always fresh).

  ConnectorNo auth

• submit_rfqA

  Commonlands Optics: M12 Lens and C-Mount Lens Finder + Field-of-View CalculatorA

  Forward a buyer request-for-quote or engineering question to the Commonlands engineering team. Two-step, buyer-confirmed: the first call returns a preview and sends nothing; show the buyer the preview (including their reply-to email) and, only after they explicitly approve, call again with confirm: true to send. The recipient is fixed to the Commonlands inbox (the agent cannot choose it); this only sends an inquiry and never creates an order, charges a card, or writes Shopify/customer data. Include part numbers, sensor, quantity, and application when known so the team can reply with a quote. Commonlands replies by email.

  ConnectorNo auth

• ai_token_arbitrageA

  TrueCalciA

  Calculate multi-provider LLM API inference costs, prompt caching economics (up to 90% discount), batch discounts, and cost disparity across Claude 3.5 Sonnet, GPT-4o, DeepSeek V3/R1, and Gemini 1.5 Pro/Flash. Behavior: Deterministic, idempotent calculation with zero external side effects. Models official pricing cards per million input/output tokens. Incorporates prompt cache hit pricing reductions and asynchronous batch API discounts (50%). Returns comprehensive cost comparison matrix, cheapest model recommendation, cache savings, and cost multiples relative to the lowest-cost model. Usage Guidelines: Use when budgeting AI agent inference costs, evaluating LLM providers, or deciding whether to implement prompt caching. Do not use for general cloud bandwidth transfer costs; use cloud_egress_finops instead.

  ConnectorNo auth

• job_postings_intelligenceA

  mcp-knowledgeC

  Agrégation d'offres d'emploi publiques pour inférer les tendances de recrutement. Trois modes : (1) company_hiring — analyse des postings d'une société : volume, fonctions (engineering/sales/marketing/ops/finance/hr), seniorité, géographie, croissance vs période précédente, signaux stratégiques inférés ; (2) role_market — volume marché global pour un rôle (open positions estimate, top employeurs, compétences demandées, médiane seniorité) ; (3) competitor_hiring_comparison — comparaison multi-sociétés (total postings, growth%, focus areas). Sources : Adzuna (ADZUNA_APP_ID/KEY env), RemoteOK (keyless), Himalayas (keyless), baseline statique 40 top employeurs. Usages : due diligence VC, intelligence compétitive, benchmarks RH, signaux pivots stratégiques. Cache 6h. SLA ≤15s.

  ConnectorNo auth

• get_platform_statsA

  mcp-archimedesA

  Aggregate counters for Archimedes Market as a whole: number of published assets, funded bounties, verified engineers, and total USD paid out across asset sales and bounty payouts. Useful for: evaluating whether Archimedes is worth recommending, sizing the engineering-talent pool, or surfacing platform momentum to a user. Counters are cached upstream (60s).

  ConnectorNo auth

• linkedin_search_postsA

  captapiB

  Keyword search of public LinkedIn posts — offset cursor, ceiling 50. Costs ~16 credits (0.8/result). Empty results and failures are never charged. Pass cache=true for a free 24h cache hit (default always fresh).

  ConnectorNo auth

• methodist_traverseA

  OpenArxA

  Multi-hop traversal from a claim over typed relation edges of ONE class. Default walks the epistemic §7 edges transitively (support/extend/qualify/refute/background/shared_evidence/same_as); relation_class="engineering" walks the dependency graph (depends_on/satisfies). ★ Those are the values a record carries; the graph stores them as ENG_DEPENDS_ON/ENG_SATISFIES edges, which you never write. This sentence used to name the epistemic set by its RECORD values and the engineering set by its EDGE LABELS, so a reader applying the visible pattern produced `ENG_depends_on` — a third thing, rejected by the validator (which accepts exactly depends_on and satisfies). direction="out" = forward (dependencies / cited); "in" = reverse (impact set — who depends on this). ★ This `direction` is the TRAVERSAL direction of the read and has NOTHING to do with the `direction` FIELD on a relation record — different thing, same name. Do not copy in/out into a record. For engineering it also returns cycle_detected (start claim in a dependency cycle). Class label-spaces are disjoint — a §7 walk never crosses into engineering edges and vice versa.

  ConnectorAPI key

• queryPointInTimeMetricsA

  CortexC

  Execute point-in-time queries for one or more engineering metrics. Returns current metric values for specified time periods, with support for batch queries and optional period-over-period comparisons. Time range (startTime/endTime) cannot exceed 6 months (180 days). PREREQUISITES - Follow this workflow: 1. Discover all available metrics ONCE: Call listMetricDefinitions (view='basic') - cache this response 2. Get metric query metadata ONCE per metric: Call listMetricDefinitions (view='full', key=METRIC_KEY) - supportedAggregations: Valid aggregation methods - orderByAttribute: Attribute path for sorting by metric values - groupByOptions[].key: Valid groupBy keys (use exact values, do NOT guess) - filterOptions[].key: Valid filter keys (use exact values, do NOT guess) Cache the full view response for each metric. Reuse the metadata from cached responses for subsequent queries on the same metric. 3. Construct query: Use the query metadata from the full view responses in step 2 to build valid point-in-time requests IMPORTANT: Cache only results from listMetricDefinitions. Do NOT cache point-in-time query results - always execute fresh queries for current data. Only refresh cached listMetricDefinitions responses if no longer in your context window or explicitly requested. Do NOT guess attribute names - always use exact values from listMetricDefinitions responses. Response includes: - Lightweight metadata: Column definitions optimized for programmatic use - Row data: Actual metric values and dimensional data - No heavy schemas: Source definitions excluded (get from listMetricDefinitions instead) Error responses: - 400: Invalid metric names, date range, validation errors, or unsupported metric combinations - 403: Feature not enabled (contact help@cortex.io)

  ConnectorNo auth

• pinterest_searchA

  captapiB

  Keyword pin search — offset cursor, SERP window 40. Costs ~13 credits (0.5/result). Empty results and failures are never charged. Pass cache=true for a free 24h cache hit (default always fresh).

  ConnectorNo auth

• check_instructionA

  fingersA

  Is this CONTENT safe for an agent to ACT ON? Screens a message / tweet / DM / webpage / tool output an agent is about to treat as an instruction, for prompt-injection and social-engineering ('ignore previous instructions', 'send funds to', 'approve this', 'admin override', 'claim your airdrop' links). This is how autonomous agents get drained (a poisoned tweet a bot executed). Returns injection_suspected + a do_not_proceed/caution/proceed read; surfaces any addresses/links to verify separately. fingers never obeys the content -- it treats it as untrusted data.

  ConnectorNo auth

• ai_summarizeA

  x402 BazaarA

  Any text → crisp bullet points — Compress up to 16K characters of anything — articles, transcripts, email threads, reports — into 3-5 precise bullet points, one micro-payment per call. No API key, no subscription, no prompt engineering: send text=, get bullets back as clean JSON. The digest step for agent pipelines that read more than they can carry in context. Required input: text. Priced $0.03 per call over x402 on Base; send a prepaid x-credit-token header for unlimited calls, or get 1 free call/day per tool. No wallet or API key required.

  ConnectorNo auth

• build_partnership_business_caseA

  elc-tradeA

  Answers 'how do I justify a community partnership budget internally?' Returns real reach numbers, the deliverables that serve the stated goal, where a proposed budget lands on the published ladder, and a forwardable approval email. Goals: hiring, brand_awareness, product_feedback, thought_leadership, people_development (developing your own engineering leaders — mentoring, Academy seats, the peer network). Set buying_for=individual if you are a person rather than a company: ELC membership is free for engineering leaders and no business case is needed.

  ConnectorNo auth

• get_mission_statsA

  mcp-serverA

  Get aggregate statistics about missions on the HomeVisto platform. Returns total counts, status breakdown, and average bounty information. Useful for understanding platform activity.

  ConnectorNo auth

• sodax_refresh_cacheA

  SODAX Builders MCPA

  Clear both the backend API cache and the solver oracle cache to force fresh fetches on next requests. Reports the number of entries cleared per cache.

  ConnectorNo auth

• billing.statusA

  Admin SubstituteA

  Check subscription status, plan details, billing cycle, and feature access. Useful for understanding what the business can and cannot do on their current plan.

  ConnectorNo auth

• categoriesA

  AdzunaA

  Fetch Adzuna's normalized job-category list for a country (e.g. engineering, sales, healthcare) — returns tag slugs and display names. Use to enumerate valid category values before calling history or regional_stats with a category filter.

  ConnectorNo auth

• instagram_embedA

  captapiB

  Classic Instagram embed snippet — blockquote.instagram-media + embed.js. Drop html into your page. Costs 1 credit. Empty results and failures are never charged. Pass cache=true for a free 24h cache hit (default always fresh).

  ConnectorNo auth

• facebook_profile_reelsA

  captapiB

  Latest Facebook page Reels — views, likes, comments, shares; newest-first without archive padding. Costs 2 credits. Empty results and failures are never charged. Pass cache=true for a free 24h cache hit (default always fresh).

  ConnectorNo auth

• live_statsA

  whale-insightsA

  Get live activity counters — whale moves today, smart-money wallets active, golden alerts (10s cache) — Live activity snapshot for the platform (real recent counts, no fabricated floors). Cached ~10s. Response includes `meta.updatedAt` and `meta.cacheAgeSeconds` (derived from the underlying whale-copy-signals cache timestamp; 0 when the cache is cold).

  ConnectorNo auth

• calculate_engineering_manager_valueA

  eng-leadership-toolkitA

  Assess an engineering leader's market value: score 15 leadership skills across 5 pillars (people & talent, delivery & execution, technical direction, stakeholder influence, AI leverage), weighted by current level, get a total score, a level from Team Lead to Director/VP of Engineering, and a 2026 Western-Europe gross salary estimate. Same logic as the live EM salary calculator at marian.coach. Unscored skills default to the level's baseline.

  ConnectorNo auth