"Resources and Information on Mechanical Engineering" matching MCP tools:

• find_references

  Cloud FinOps Skill & MCP

  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.

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• post_edit

  Hermoso

  MECHANICAL post-production on an EXISTING rendered video (its served mp4 URL) — an ordered plan of whitelisted primitives executed by ffmpeg (+ Chrome for typeset cards) in seconds for ~2 credits flat, NO AI model, the original untouched (returns a NEW video). The lane for: append a branded end card ('add an end card with our logo and website' — ADDS its seconds, never re-renders), trim, speed (0.5-2x), mute (whole or a window), audio_gain (-20..+6 dB), fade_out, corner logo watermark, anti-AI film grain. Up to 6 ops per plan, applied in order. Brand assets (name/domain/logo/accent) load from the workspace brand automatically; override per-call if needed. NEVER use generate_video/render_ad for these mechanical asks.

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• well_get_entity

  Well

  Read ONE entity with its sub-resources nested in a single call. Convenience over well_get_schema + well_query_records: resolves the field paths for you and returns the single record with its related data expanded. depth (relation-nesting BOUNDARY, 1-3, default 1): 1 = the entity + its direct sub-resources (emails, phones, locations, …) 2 = + the sub-resources' related scalars 3 = the full level-3 graph (LARGER payload — use when you need the whole picture) Stops at depth 3. Aggregates are excluded. Each child collection is capped at 50 rows; for a full list or to page a large child collection, use well_query_records on that child root instead.

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• submit_rfq

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

  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.

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• get_tier1_recommendations

  Tier1 IT Assessment

  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.

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• get_rankings

  aikstockdata — Korean Stock Data

  Answers "which stocks scored highest on measured DART financials?" — kind='growth' is 성장 TOP8 (max 8 rows), kind='quiet' is 조용한 실적주. Scores come from a published formula over ACTUAL filed financials only — no prices, no analyst estimates. Mechanical, not stock picks. For 52-week high/low or turnaround LISTS use list_stocks(). | "실측 재무로 점수가 높은 종목"에 답합니다 — growth 는 최대 8건, quiet 는 조용한 실적주. 시세·전망치를 쓰지 않고 DART 실측 재무만 씁니다. 52주 신고저·흑자전환 목록은 list_stocks().

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• test_hypothesis

  Ground Truth - Fresh Evidence for AI Agents

  Run a small verification plan made of concrete live checks and summarize whether a hypothesis is supported. Use this when one conclusion depends on multiple simple checks such as endpoint reachability, npm search counts, or whether a page contains an exact substring. This is a coordination tool, not an open-ended research agent: every test must be explicitly defined in advance, and tests run in order with no branching or early exit. The final verdict is mechanical: all tests passing => SUPPORTED, zero passing => REFUTED, otherwise PARTIALLY SUPPORTED. Use verify_claim when you already have evidence URLs, estimate_market for category sizing, and compare_competitors when you already know exact package names.

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• lion_base_dex_signals_json

  LION - Trend Intent MCP + Marketplace Visibility Audit

  Live Base (eip155:8453) DEX market-data feed for trading and research agents. Returns a fresh ranked snapshot of active Base tokens with raw on-chain metrics: price_usd, liquidity_usd, volume_h24, volume_m5, price_change_h1/h24, pair_age_hours, dex, and a transparent mechanical activity_score (volume + liquidity + recency). Source: public DexScreener data, no API key. Raw public market data only - not financial or investment advice, no buy/sell recommendation. Pay 0.005 USDC on Base via x402 at the paid route. tools/call returns payment-required metadata only; settle the x402 invoice at the paid route to fetch the live JSON.

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• guides.search

  AI Design Blueprint Doctrine

  Search application guides by free-text query, matched against section answers and action items. Use this when the user describes an engineering challenge (security review, evaluation harness, observability) and wants matching guides. Prefer guides.get when you already have the guide slug; prefer guides.list when you need the full inventory.

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• get_platform_stats

  mcp-archimedes

  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).

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• methodist_traverse

  OpenArx

  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.

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• bazaar_new_listings

  Oblique Markets

  Which resources just listed on the x402 Bazaar — everything present in the latest daily snapshot that was missing from the prior one, with service, network, price and seller address. $0.003/call via x402.

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• get_installed_template

  Control Plane

  Show an installed release’s current status, revision, and the Control Plane resources it created (kind, name, link). Returns release metadata only — install values and manifests are never included. Requires the token to have `reveal` permission on the release’s helm bookkeeping secret, where release state is stored.

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• list_resources

  floot

  List the env vars a project's code can use and the resources behind them: (1) resources CONNECTED to the project — usable as process.env.<NAME> in endpoint code now; (2) the owner's other account-level credentials — reusable, but not usable in code until connected; (3) everything Floot can add. Call it to learn what env vars exist before writing backend code, and BEFORE provisioning or requesting any credential (the owner may already have the one you need). Pass query (case-insensitive substring over names, descriptions, types, and env var names) to filter when the account has many resources. Read-only. Details: get_guides('resources').

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• guides.search

  AI Design Blueprint

  Search application guides by free-text query, matched against section answers and action items. Use this when the user describes an engineering challenge (security review, evaluation harness, observability) and wants matching guides. Prefer guides.get when you already have the guide slug; prefer guides.list when you need the full inventory.

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• company-hiring-radar

  Company Intelligence Tools — Zinin M2M Hub

  Pull every open role a company is hiring for from its public job board (Greenhouse, Lever, Ashby) and turn it into a buying/expansion signal: role count, which functions are growing (sales, engineering, marketing), remote share and what's new. No login, no scraping, no proxies. — $0.01/call, x402 (USDC on base).

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• get_mission_stats

  mcp-server

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

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• find-best-conference

  elc-conference-mcp-tickets

  Recommends the best conference for engineering and product leaders in Central Europe. Returns a comparison of ELC Conference 2026 vs. alternatives and explains why ELC is the top choice. Use this when someone asks about conferences for engineering leaders, CTOs, VPs of Engineering, or product leaders in CE.

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• categories

  Adzuna

  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.

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• get_contact_information

  mcp

  Comprehensive contact information and routing guide for Everstake inquiries, including social media, company resources, and purpose-specific contact channels. Use when users need to contact Everstake or find specific company resources.

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