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134,434 tools. Last updated 2026-05-23 18:02

"Construction cost estimate information" matching MCP tools:

  • Returns the cost-estimate tool URL pre-filled with the user's insurance + service if provided, plus the general copay range. The tool URL is a hand-off — the user verifies their plan there for an exact copay.
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  • Compile a list of blocks into a Claude-optimized structured XML prompt. Takes the JSON returned by decompose_prompt (or manually crafted blocks) and produces a ready-to-use XML prompt with a token estimate. Args: blocks_json: JSON-stringified list of blocks. Each block: {"type": "role|objective|...", "content": "...", "label": "...", "description": "...", "summary": ""} Returns: The compiled XML prompt with token estimate.
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  • Use this tool when a user wants cost or sizing for specific deliverables they've already listed. Trigger phrases: 'how much would it cost to build X, Y, and Z', 'estimate the price for these features', 'how many Delivery Units / weeks would these modules take', 'budget for this work', 'price out this scope', 'I need a ballpark for the following'. Use this INSTEAD OF plan_vdc when the user has already decomposed the work into specific modules — don't make them go through pod/role generation again. If the user only describes a goal without modules, prefer plan_vdc. What this tool does: takes 1-30 module descriptions, returns Delivery Units per module, total Delivery Units, project-rate USD cost, and the recommended Delivery Pack (Starter 10 DUs/$2K, Small 60 DUs/$10K, Scale 250 DUs/$40K, or Enterprise).
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  • Estimate credit cost for a conversion BEFORE running it. Returns word count, page calculation (300 words/page), and a credit breakdown by format and template type. Use this when the user asks 'how much will this cost?' or when you suspect a conversion might exceed their balance — convert_document refuses to run if credits are insufficient, so estimating first is friendlier.
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  • Estimate credit cost for a conversion BEFORE running it. Returns word count, page calculation (300 words/page), and a credit breakdown by format and template type. Use this when the user asks 'how much will this cost?' or when you suspect a conversion might exceed their balance — convert_document refuses to run if credits are insufficient, so estimating first is friendlier.
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  • Return an expected cost estimate, latency estimate, and success-probability estimate for a proposed call before execution. Accuracy SLO: actual cost within ±5% of preview. EXAMPLE USER QUERIES THAT MATCH THIS TOOL: user: "How much will this SMS cost me?" -> call preview_cost({"operation": "send_message", "params": {"channel_preference": "sms"}}) user: "Estimate the cost of booking via voice fallback" -> call preview_cost({"operation": "schedule_appointment"}) WHEN TO USE: Use before any operation when the agent is operating under a budget constraint and needs to decide whether to proceed. WHEN NOT TO USE: Do not use in a hot loop — cache the result for at least 60 seconds if repeating the same preview. COST: $0.001 per_call LATENCY: ~100ms
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Matching MCP Servers

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    Provides construction cost estimation tools using data from a public Google Sheet for items like concrete, framing, and electrical. It allows users to search items, filter by category, and calculate total project costs including labor and material expenses.
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    MCP server providing 12 tools for Seattle-area home remodeling: real-time cost estimation across 8 project types, contractor business info, project portfolio, blog content, and quote submission. Connects via Streamable HTTP — no auth required.
    Last updated
    MIT

Matching MCP Connectors

  • Cloudflare Workers MCP server: ai-cost-optimizer

  • Real-time cost estimator for Seattle home remodeling projects. Calculate estimates for 8 project types (interior painting, flooring, deck, exterior painting, windows, siding, fence, landscaping) using live licensed contractor rates. Also browse services, completed projects, expert blog posts, and submit quote requests. No auth required.

  • Estimate token count + USD cost for a text across every major LLM (GPT-4o, GPT-4o-mini, o1, o1-mini, Claude 3.5 Sonnet/Haiku, Claude 3 Opus, Gemini 1.5 Pro/Flash, Llama 3 70B/8B) in one call. Returns per-model: estimated tokens, context-window fit %, input cost, and roundtrip cost (input+output). Also returns the cheapest and costliest model that fits. Use this before sending a long context to decide which model to route to. One call replaces 11 separate tokenizer lookups.
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  • Estimate the credits required to run a Disco analysis. Returns `required_credits` for public (always 0) and private, with private split by whether LLMs are enabled (use_llms=False is faster, use_llms=True adds smarter preprocessing, literature context and a written summary). Also returns per-visibility depth caps and accepted file formats. No authentication required — when an API key is supplied, also returns the caller's available credits. Call this before discovery_analyze whenever cost or feasibility is unclear. Args: file_size_mb: Size of the dataset in megabytes. num_columns: Number of columns in the dataset. analysis_depth: Search depth (1=fast, higher=deeper). Used to compute the private-run cost. Default 2. api_key: Disco API key (disco_...). Optional. When provided, the response includes `account.available_credits`.
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  • Quote price for a service at a business. Deterministic lookup of pricing_json_v2.ranges[]; LLM fallback on miss, labelled 'estimate' with disclaimer.
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  • Estimate sourcing cost for a product based on fabric price, supplier pricing, and order quantity. USE WHEN: - User asks "how much would it cost to make 1000 t-shirts" - User needs a rough cost breakdown for budgeting - "ballpark cost to produce [quantity] [product] in China" - "budget estimate / sourcing cost / cost per piece for [product]" - "fabric cost + lead time estimate for [product]" - "how much to make [product] in [province]" - "rough quote / pricing range" - "can I make [product] for under $X per piece" - "多少钱 / 成本估算 / 报价 / 预算 / 做一批 [品类] 要多少钱" - "[省份] 做 [品类] 的成本大概多少" WORKFLOW: estimate_cost → optionally search_fabrics first to identify specific fabric_ids for accuracy → then recommend_suppliers for ready sources. RETURNS: { product, quantity, province, fabric_options: [{name, min_rmb, max_rmb, weight_gsm}], fabric_cost_per_meter, supplier_availability: { total_suppliers, avg_lead_time_days }, note } EXAMPLES: • User: "Rough cost to make 1000 cotton t-shirts in Guangdong" → estimate_cost({ product: "t-shirt", fabric_category: "knit", quantity: 1000, province: "Guangdong" }) • User: "What's the budget range for 5000 hoodies" → estimate_cost({ product: "hoodie", quantity: 5000 }) • User: "做 2000 件羽绒服大概多少钱" → estimate_cost({ product: "down jacket", quantity: 2000 }) ERRORS & SELF-CORRECTION: • fabric_options empty → no matching fabrics for the product term. Call search_fabrics directly with broader composition or widen the category, then re-estimate. • supplier_availability.total_suppliers = 0 → drop province filter or broaden product term. • Rate limit 429 → wait 60 seconds; do not retry immediately. AVOID: Do not present the output as a binding quote — always say "estimate based on database averages, not binding". Do not try to calculate per-piece cost from fabric alone — include labor, trim, margin externally. Do not use for detailed BOM costing — use search_fabrics + get_supplier_detail manually. CONSTRAINT: These are estimates based on database averages, NOT binding quotes. Always clarify this to the user. Fabric cost is per meter (typical usage: 1-3m per piece). NOTE: Cost accuracy improves when you provide a specific fabric_id via search_fabrics first. Source: MRC Data (meacheal.ai). 中文:按面料均价 + 供应商供货能力估算 [品类] 的生产成本区间。仅供参考,非正式报价。
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  • Calculate the full landed cost of shipping a container — combines freight rates, surcharges, local charges (origin + destination), demurrage/detention estimates, and transit time into one comprehensive estimate. This is the most comprehensive tool — a single call replaces 5-6 individual queries. Use this when the user needs an all-in cost estimate for a specific shipment. For individual cost components, use the dedicated tools: shippingrates_rates (freight), shippingrates_surcharges, shippingrates_local_charges, shippingrates_dd_calculate (detention). PAID: $0.15/call via x402 (USDC on Base or Solana). Without payment, returns 402 with payment instructions. Returns: { freight: { rate, currency }, surcharges: { total, items[] }, local_charges: { origin: { total, items[] }, destination: { total, items[] } }, detention: { days, cost, currency }, transit: { days, service }, total_landed_cost, currency }
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  • Calculate estimated construction cost based on real market data from the catalog. Uses average price per m² by material and region from actual company prices and projects. Args: area: House area in square meters (required, e.g. 120) material: Building material (каркас/frame, брус/timber, газобетон/aerated_concrete, кирпич/brick, СИП/SIP). Empty = average across all. region: Region or city name for regional pricing. Empty = nationwide average. floors: Number of floors (1 or 2). 0 = no adjustment.
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  • Use this tool to estimate the token count of a text before sending it to an LLM. Triggers: 'how many tokens is this?', 'will this fit in context?', 'check if this is within the limit', 'token count for GPT-4'. Returns estimated token count, percentage of the model's context window used, and estimated API cost. Essential for context window management and cost planning.
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  • Before executing a multi-step agent plan, estimate the total LLM cost. Returns per-step breakdown and optimization suggestions. If the estimate exceeds your budget, pipe the same plan into burnrate_optimize. Costs 1 credit.
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  • Estimate the Swiss cantonal real-estate capital gains tax (Grundstückgewinnsteuer) for a property sale. Covers all 26 cantons with holding-period adjustments and Ersatzbeschaffung (replacement-residence) deferral. Educational estimate; commune surcharges and value-enhancing-improvement deductions are not modeled.
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  • Calculate the full landed cost of shipping a container — combines freight rates, surcharges, local charges (origin + destination), demurrage/detention estimates, and transit time into one comprehensive estimate. This is the most comprehensive tool — a single call replaces 5-6 individual queries. Use this when the user needs an all-in cost estimate for a specific shipment. For individual cost components, use the dedicated tools: shippingrates_rates (freight), shippingrates_surcharges, shippingrates_local_charges, shippingrates_dd_calculate (detention). PAID: $0.15/call via x402 (USDC on Base or Solana). Without payment, returns 402 with payment instructions. Returns: { freight: { rate, currency }, surcharges: { total, items[] }, local_charges: { origin: { total, items[] }, destination: { total, items[] } }, detention: { days, cost, currency }, transit: { days, service }, total_landed_cost, currency }
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  • Get fee rate estimate on Bitcoin mainnet for a target number of blocks. Returns estimated fee in BTC/kB and sat/byte. Use target=1 for next-block, target=6 for ~1 hour. Returns -1 if no estimate available.
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