"Cloud Foundry" matching MCP tools:

• estimate_lead_time

  Silicon Analysts

  Heuristic chip manufacturing LEAD TIME estimator (MANUFACTURING CYCLE TIME). Given total mask layers (or a processNode to default them), foundry utilization % (optional — defaults from live foundry-allocation data), and packagingType, returns min/max bands: fabDays, fabWeeks, packagingWeeks, totalWeeks, plus effectiveDpml (days per mask layer), the operating-curve weight, a resolved-inputs echo, assumptions, methodology, and public-source citations. USE THIS for: "how long to manufacture this chip" — wafer-fab cycle time + packaging assembly/test time for hypothetical chips; cycle-time sensitivity to fab utilization or packaging class (conventional vs flip-chip vs CoWoS). DO NOT USE for: booking windows / allocation lead time — how long until a booked-out foundry STARTS wafers, publicly 52–156+ weeks at N3-class nodes and CoWoS (use get_foundry_allocation); chip cost (use calculate_chip_cost / get_accelerator_costs). Provide maskLayers (integer 10–200) or processNode (tsmc-n3 | tsmc-n5 | tsmc-n7 | tsmc-n16 | tsmc-28 | samsung-3nm | samsung-5nm | samsung-7nm | samsung-14nm | intel-7 | intel-16 | gf-12lp | gf-fdx | umc-22-28 | umc-40 | smic-28). packagingType accepts coarse classes (conventional | flip-chip | cowos, default flip-chip) or any platform packaging id (fc-bga, wirebond-bga, cowos-l, copos, ...). Utilization ≤80% settles at the best-case band; ≥95% converges to the worst-case bound (FabTime operating-curve shape). Heuristic from public DPML benchmarks — directional, confidence LOW, not a foundry quote. Cite as "Silicon Analysts — Lead Time Estimator".

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• get_benchmark_history

  Silicon Analysts

  Historical Benchmarks — the bitemporal benchmark-observations ledger behind the Chip Cost Calculator: wafer cost by node/foundry (deflationary curves), defect-density (D0) learning curves per node, advanced-packaging costs incl. the broken-out CoWoS interposer entity, test cost, backend yield, and HBM $/GB. Each observation carries as_of (the date the reading reflects — curated backfill from dated public archives extends history), detected_at (capture time), and full sourcing metadata (source_type taxonomy: foundry_ir | wfe_vendor_earnings | government_filing | press_release | analyst_report | company_announcement | trade_press | public_web; source_url; confidence high/medium/low). grain=month|quarter returns median/min/max rollups per period; grain=raw returns per-source observations. Access tiers: free key → preview, Pro/Enterprise → full ledger, anonymous → none. USE THIS for: "how has TSMC N5 wafer pricing moved over 24 months?", "is our internal D0 ramp tracking the market's learning curve?", "CoWoS interposer cost trend", benchmarking product-lifecycle cost projections. DO NOT USE for: current point values (use get_wafer_pricing / get_packaging_costs); the daily PIT ledger replay (use /api/v1/snapshot-series); margin history (use /api/v1/margin-trends). Filters: benchmark_type (required: wafer_cost|defect_density|packaging_cost|interposer_cost|test_cost|backend_yield|hbm_cost_per_gb), entity_id, foundry, from/to (as_of bounds), grain (raw|month|quarter), limit. Access: a free API key returns a short preview (latest few observations); Pro/Enterprise unlock the full ledger; anonymous callers get none (empty + a get-a-key note). Cite as "Silicon Analysts — Historical Benchmarks".

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• run_cost_scan

  Tomorrow Central: Cloud Cost Sentinel

  Start a cloud cost / FinOps scan of a linked account and return a job_id. Use this when the user wants to find idle, unused or underutilized cloud resources, review cloud spend, or estimate savings. The provider comes from the connection, and **AWS is the only provider supported today** (see `list_connections`). Other clouds will appear on this same tool as connections for them become linkable; nothing else about the call changes. READ-ONLY against your cloud: it reads resource metadata and monitoring metrics and reports; it never changes, stops or deletes anything. (It does create a scan job here and consume that account's scan quota, which is why this tool is not marked read-only.) On AWS it covers EC2 instances, EBS volumes and snapshots, RDS instances, Elastic IPs, NAT Gateways, load balancers, VPCs and VPC endpoints, site-to-site VPN and Transit Gateway attachments, Client VPN endpoints, Secrets Manager secrets, CloudFront distributions and WAF web ACLs. Resource kinds outside that list are not inspected, so a clean scan is not a claim that the whole bill is optimized. `connection_id` picks which linked AWS account to scan (see `list_connections`). Omit it to run against sample data — useful for showing the user what the output looks like before any account is linked. The scan runs asynchronously: poll `get_job(job_id)` roughly every 10 seconds until status is COMPLETED (typically 1-3 minutes), then call `list_cost_findings(job_id)`. Do NOT start another scan while one is running — each scan consumes the account's monthly quota. Pass `idempotency_key` (any unique string you choose) if you may retry on a network error: a retry with the same key returns the original job instead of starting a second scan.

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• get_foundry_economics

  Silicon Analysts

  Foundry IR ECONOMICS — per-foundry, per-process-node, per-fiscal-quarter wafer ASP (min/max/blended, USD per 300mm-equivalent wafer, $250-grained) and fab UTILIZATION (%), derived exclusively from PUBLIC IR materials (earnings releases/transcripts/decks, trade press) via a documented scaling calculation (rev-mix-v1): reported revenue × reported node revenue-shares × reported wafer shipments, allocated on pinned analyst prior ratios. Covers tsmc | umc | intel | samsung | smic | gf. Every row carries source_urls + release_dates + confidence (high/medium/low); utilization is 'stated' (company said it — UMC/SMIC style) or 'derived' (shipments vs capacity estimate, capped medium) and NEVER fabricated per node. include_facts=true returns the underlying evidence facts (verbatim quote + source per datum). Also returns node_margin_estimates for TSMC: per-node est. wafer price / est. wafer cost / est. GROSS MARGIN % with ranges (N3/N5/N7/N16/N28+/N2) — single-vintage Silicon Analysts ESTIMATES from public analysis, explicitly labelled (TSMC does not disclose per-node margin; company-level GM is quarterly IR). USE THIS for: "what does a TSMC 3nm wafer sell for and how has it moved by quarter?", "TSMC blended ASP trend", "UMC utilization last quarter", "N3 share of TSMC revenue over time", "estimated gross margin by node", node-economics history for models. DO NOT USE for: the current spot wafer price band only (use get_wafer_pricing — that is the live analyst-consensus band this dataset cross-validates against); allocation/lead-time/booking (use get_foundry_allocation); chip-level cost (use calculate_chip_cost / get_accelerator_costs). Filters: foundry, node (canonical token, e.g. n3 | 22-28nm | 18a), node_group (leading_3nm | class_5nm | ...), quarter (2026Q1 | 2025FY), from/to range, include_facts, limit. LATEST period per foundry is free; multi-period HISTORY (quarter/from/to) requires a Pro key — free callers are clamped to latest with an explanatory meta.note (never an error). Sparse-disclosure foundries (Intel, Samsung) return nulls/low confidence rather than invented numbers. Refreshes weekly (Mon 14:30 UTC) + each earnings season. Cite as "Silicon Analysts — Foundry IR Economics".

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• import_data

  mcp

  Import data into a Cloud SQL instance. If the file doesn't start with `gs://`, then the assumption is that the file is stored locally. If the file is local, then the file must be uploaded to Cloud Storage before you can make the actual `import_data` call. To upload the file to Cloud Storage, you can use the `gcloud` or `gsutil` commands. Before you upload the file to Cloud Storage, consider whether you want to use an existing bucket or create a new bucket in the provided project. After the file is uploaded to Cloud Storage, the instance service account must have sufficient permissions to read the uploaded file from the Cloud Storage bucket. This can be accomplished as follows: 1. Use the `get_instance` tool to get the email address of the instance service account. From the output of the tool, get the value of the `serviceAccountEmailAddress` field. 2. Grant the instance service account the `storage.objectAdmin` role on the provided Cloud Storage bucket. Use a command like `gcloud storage buckets add-iam-policy-binding` or a request to the Cloud Storage API. It can take from two to up to seven minutes or more for the role to be granted and the permissions to be propagated to the service account in Cloud Storage. If you encounter a permissions error after updatingthe IAM policy, then wait a few minutes and try again. After permissions are granted, you can import the data. We recommend that you leave optional parameters empty and use the system defaults. The file type can typically be determined by the file extension. For example, if the file is a SQL file, `.sql` or `.csv` for CSV file. The following is a sample SQL `importContext` for MySQL. ``` { "uri": "gs://sample-gcs-bucket/sample-file.sql", "kind": "sql#importContext", "fileType": "SQL" } ``` There is no `database` parameter present for MySQL since the database name is expected to be present in the SQL file. Specify only one URI. No other fields are required outside of `importContext`. For PostgreSQL, the `database` field is required. The following is a sample PostgreSQL `importContext` with the `database` field specified. ``` { "uri": "gs://sample-gcs-bucket/sample-file.sql", "kind": "sql#importContext", "fileType": "SQL", "database": "sample-db" } ``` The `import_data` tool returns a long-running operation. Use the `get_operation` tool to poll its status until the operation completes.

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• zaira_compare_tools

  Zaira Labs Guide

  Compare 2-3 developer tools side by side. Returns each tool's full Markdown-KV entry separated by "===". Alternatives and worksWith are enriched with tagline + agent-readiness for resolved slugs. If any requested slugs are not found, they appear in a trailing "Note: slugs not found: ..." line; the comparison still returns for the ones found. Examples: - Three search engines: {slugs: ["meilisearch-oss", "algolia", "elasticsearch-oss"]} - Two ORMs: {slugs: ["drizzle-orm", "prisma"]} - Three auth providers: {slugs: ["auth0", "clerk", "keycloak"]} - Hosted vs self-hosted for the same vendor: {slugs: ["redis-cloud", "redis-oss"]} — shows deployment trade-off - Postgres engine vs hosted offerings: {slugs: ["postgresql", "supabase-cloud", "cockroachdb-cloud"]} Edge cases: - Cross-category comparisons (e.g., {slugs: ["auth0", "redis-cloud"]}) are allowed but rarely useful. Same-category comparisons answer "which should I pick?" better; cross-category answers "these coexist in my stack" — a compatibility question. - Minimum 2 slugs, maximum 3. Four or more is a validation error; for more, run pairs. - Invalid or unknown slugs are listed under "slugs not found"; the partial comparison returns for valid ones. - Duplicate slugs in the array are deduplicated. - A few tools are single entries (no -cloud/-oss split): stripe, auth0, firebase, twilio, openai-api, pinecone, algolia. Don't pass "stripe-cloud" — it doesn't exist. Risk: read-only, closed-world, idempotent — no state change possible.

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• get_kg_facts

  NightWatch Live Intelligence

  NightWatch Knowledge Graph lookup for a COMPANY/entity (equities & RWA universe: Samsung 'samsung-electronics', SK Hynix 'sk-hynix', 'tsmc', 'nvidia', 'asml', 'arm', ...). Returns SOURCED data only — every row carries a citation URL (the KG refuses uncited data): (1) numeric fundamentals (revenue, net income, market cap, business segments, dividend, market-share rankings), (2) typed relations (supplies / competes / customer_of / licenses — e.g. Samsung supplies NVIDIA HBM, competes with TSMC in foundry), and (3) a live HyperLiquid price block when the entity is tradable. Use this BEFORE reasoning about a company's fundamentals, competitors, supply chain, or a hedge on its equity perp. Input accepts a slug or a plain company name (fuzzy-matched).

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• get_foundry_allocation

  Silicon Analysts

  Foundry & advanced-packaging ALLOCATION — the current-state snapshot per node/tech (TSMC/Samsung/Intel/... × N2/N3/CoWoS-L/SoIC/...) plus optional time-series HISTORY. Current fields: allocation_status (fully_booked → available), lead_time_weeks_min/max + trend, utilization, price_trend, geo_risk, customers, capacity_current/target, customer_shares, allocation_note. With include_history=true, returns the tracked series from capacity_signals: lead_time / booking-window, pct_locked (%-capacity-locked), customer_allocation (publicly-reported per-customer share), cowos_capacity, foundry_utilization — each point dated (as_of) with provenance. No competitor publishes allocation as a structured, queryable feed. USE THIS for: "who has CoWoS allocation and how much?", "what's the booking lead time for N2?", "how locked is 2026 CoWoS capacity?", allocation/lead-time trend over time. DO NOT USE for: per-chip cost (use get_accelerator_costs / calculate_chip_cost); HBM market share/pricing (use get_hbm_market_data); HBM qual status (use get_hbm_qualification). Filters: foundry, node, category, customer, history_metric, include_history (bool), limit. Sourced public estimates (analyst/press/earnings), human-reviewed; every record carries provenance.confidence_tier. wafer_price is intentionally omitted. Cite as "Silicon Analysts — Foundry Allocation".

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• list_api_reference_pages

  docs-mcp

  List pages in Redpanda API reference documentation. Returns endpoints, schemas, and topic pages with URL, title, type, and description. SCOPING (important for accurate results): - api="all" or omit: Lists all available APIs - api="admin": Cluster management operations (brokers, partitions, configs, users) - api="cloud-controlplane": Redpanda Cloud resource management (clusters, networks, namespaces) - api="cloud-dataplane": Cloud cluster data operations (topics, ACLs, connectors) - api="http-proxy": Kafka operations over HTTP (produce, consume, offsets) - api="schema-registry": Schema management (register, retrieve, compatibility) Use this to browse API structure. For general Redpanda docs, use ask_redpanda_question instead.

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• install_app

  BorealHost

  Install an app template on a VPS/Cloud site. Starts a background installation. Poll get_app_status() for progress. Requires: API key with write scope. VPS or Cloud plan only. Args: slug: Site identifier template: App template slug. Available: django, laravel, nextjs, nodejs, nuxtjs, rails, static app_name: Short name for the app (2-50 chars, lowercase alphanumeric + hyphens). Used as subdomain: {app_name}.{site_domain} db_type: Database type. "none", "mysql", or "postgresql" (depends on template) domain: Custom domain override (default: {app_name}.{site_domain}) display_name: Human-friendly name (default: derived from app_name) Returns: {"id": "uuid", "app_name": "myapp", "status": "installing", "message": "Installation started. Poll for progress."} Errors: FORBIDDEN: Plan does not support apps (shared plans) VALIDATION_ERROR: Invalid template, app_name, or duplicate name

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• list_tables

  Drillr — The financial MCP for AI agents

  List alternative-data tables under the given categories. Returns each table's name, one-line purpose, and column names (call get_table_schema if you need column types/comments). Batch up to 5 categories in one call; omit categories, or pass ["all"], to get the category index instead. Use this BEFORE run_sql when you want to explore alt-data — run_sql alone won't tell you which tables exist. Available categories: - Energy & Power — US power plants, electricity prices, regional hourly generation/demand - Data Centers — facilities, GPU clusters, cooling - Semiconductors — AI chip specs, sales, ownership, foundry revenue, customs trade - Compute Pricing — GPU rental, cloud VM spot/on-demand, instance specs - Model Development — model specs, benchmarks, AI companies, AI polling, LLM arena - Inference Economics — LLM API pricing across providers - Macro & Trade — UN Comtrade, US Census trade flows, FRED macro series - Prediction Markets — Polymarket and Kalshi events, markets, trades, daily aggregates - Critical Minerals — USGS mineral deposits, country supply, critical materials

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• create_node

  Chainstack

  Deploy a new blockchain node. Call get_deployment_options first for valid IDs. Trader nodes are region-bound (e.g., London, Ashburn, Singapore). Always confirm the region with the user before deploying — region cannot be changed after deployment. Args: name: Node name. project: Project ID from list_projects (e.g., PR-123-456-789). blockchain: Blockchain ID from get_deployment_options (e.g., BC-000-000-008). cloud: Cloud ID from get_deployment_options (e.g., CC-0016 for Global, CC-0020 for London).

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• list_playbooks

  Cloud FinOps Skill & MCP

  See every ready-made runbook for finding and fixing cloud waste: idle, orphaned and overprovisioned resources, egress surprises, schedule blindness and AI/ML inefficiency across AWS, Azure and GCP. Use this to discover which waste patterns have a runbook. When the question already names a provider, waste category, or confidence tier, call ``find_playbooks`` instead. Each playbook is a small (~80-130 line) runbook scoped to one waste pattern (e.g. ``aws-zombie-nat-gateway``, ``azure-orphan-disks``). Returns ``{"playbooks": [...], "total": N}`` where each entry includes ``name``, ``title``, ``scope`` (aws/azure/gcp/cross-cloud), ``service``, ``waste_category``, ``confidence`` (obvious/likely/possible), and ``lines``.

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• get_playbook

  Cloud FinOps Skill & MCP

  Fetch the step-by-step runbook for one specific waste pattern: symptoms, the detection queries to run, the fix, and the anti-pattern to avoid. Use this when the user asks how to detect, confirm, or fix one specific named waste pattern (zombie NAT gateway, snapshot sprawl, idle SageMaker endpoint, ...). Args: name: Playbook slug as returned by ``list_playbooks`` (e.g. ``"aws-zombie-nat-gateway"``, ``"azure-orphan-disks"``, ``"cross-cloud-untagged-spend-drift"``). Returns ``{"name": ..., "title": ..., "content": "...", "lines": N}``. On miss, returns ``{"error": ..., "suggestions": [...]}`` with up to three string-distance matches so the caller can self-correct. A host with MCP Apps (SEP-1865) support may render this result via the linked ``ui://cloud-finops/playbook-viewer`` resource instead of showing the raw markdown.

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• search_api_reference

  docs-mcp

  Search Redpanda API reference documentation by keyword. Returns up to 20 matching endpoints, schemas, or topics with URL, title, and text excerpts. SCOPING (important for accurate results): - api="all" or omit: Search across ALL APIs at once - useful when unsure which API contains the endpoint - api="admin": Search only cluster management (brokers, partitions, configs, users, maintenance) - api="cloud-controlplane": Search only Cloud resource management (clusters, networks, namespaces) - api="cloud-dataplane": Search only Cloud data operations (topics, ACLs, connectors) - api="http-proxy": Search only HTTP Proxy (produce, consume, offsets over HTTP) - api="schema-registry": Search only Schema Registry (register, retrieve, compatibility) WHEN TO USE WHICH: - User asks "broker endpoints" → api="admin" (brokers are cluster management) - User asks "create topic API" → api="all" (topics exist in admin AND cloud-dataplane) - User asks "Cloud cluster API" → api="cloud-controlplane" - User asks about Redpanda APIs generally → api="all" or omit For general Redpanda questions (not API-specific), use ask_redpanda_question instead.

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• search_docs

  pg-aiguide

  Search documentation with hybrid semantic (vector) and keyword (BM25) search. Use semanticWeight to choose keyword-only (0), semantic-only (1), or a blend; mid values fuse rankings with RRF. Supports Tiger Cloud (TimescaleDB), PostgreSQL, and PostGIS.

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• create_b2_snapshot

  BorealHost

  Create a B2 cloud-backed snapshot (zero local disk, async). Streams container data directly to Backblaze B2 via restic. No local disk impact — billed separately at cost+5%. Runs in background — returns immediately with status "creating". Poll list_snapshots() to check when status becomes "completed". Only available for VPS plans. Requires: API key with write scope. Args: slug: Site identifier description: Optional description (max 200 chars) Returns: {"id": "uuid", "name": "...", "status": "creating", "storage_type": "b2", "message": "B2 cloud snapshot started. Poll list_snapshots()..."} Errors: VALIDATION_ERROR: Not a VPS plan or max snapshots reached

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• check_local_viability

  Local Model Suitability MCP

  Checks whether a task can be handled by a local model instead of a cloud API. Call this BEFORE your agent routes any task to a cloud model — at the moment a task is ready to be sent and the model has not yet been selected. Use this when your agent is about to make a cloud inference call and wants to determine whether a local model could handle it at lower cost. Returns LOCAL/CLOUD/EITHER verdict with recommended model. If verdict is LOCAL, skip the cloud call entirely — saves cost on every routable inference call. Pass data_sensitivity=CONFIDENTIAL to force LOCAL verdict for tasks that must not leave the machine. Do not route to cloud without checking local viability first.

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• m365_send_email

  local-mcp

  Use this when the user wants to send from their Microsoft 365 / Outlook account via the cloud — requires a connected M365 account. Shows a preview first — set confirm=true to actually send. For sending from an account configured in the Mac's Mail.app, use send_email.

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• pathrule_write_rule

  Pathrule

  Create a new rule at a workspace path. Missing nodes auto-create. Use scope_type/priority honestly: high only when a violation causes a real bug or regression. Cloud-only — Pathrule Studio/CLI also renders the rule into the user's CLAUDE.md/AGENTS.md and editor companion files automatically.

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