CostBench

Verified pricing, hidden costs, negotiation data, price changes & TCO for 3,390+ software products.

Should I use this

Quality & Safety

A
Description quality
92%
Schema completeness
83%
Naming quality
93%
Poisoning risk
100%
Permission match
100%
Protocol compliance
100%

Findings (1)

  • LOWTool 'calculate_tco' description lacks action verbin calculate_tco

Based on automated analysis of tool definitions and protocol compliance.

Context Cost

~1,055Tokens (tool definitions)
~601 BTypical response size
Moderate attention impact (0.82% of 128k context)

This is the approximate number of tokens consumed each time the server's tools are loaded into a model's context. Higher counts reduce the attention available for other tasks.

Install

One-Click Install

Add this to your `claude_desktop_config.json` file:

{
  "mcpServers": {
    "mcp": {
      "url": "https://costbench.com/mcp"
    }
  }
}

Remote endpoints

https://costbench.com/mcpstreamable-http

What it can do

Tool inventory

Tools (9)

🟒 Read-only🟑 WriteπŸ”΄ Deleteβšͺ Unknown
🟒get_pricing(slug, depth)

Full sourced pricing record for a software product: tiers, hidden costs, contract terms, market data, sentiment, negotiation tips, TCO scenarios, price history β€” every claim with its sources + a confidence/verification envelope.

Input Schema

{
  "type": "object",
  "properties": {
    "slug": {
      "type": "string",
      "description": "Product slug, e.g. \"salesforce\""
    },
    "depth": {
      "type": "string",
      "enum": [
        "summary",
        "full"
      ],
      "description": "summary = numbers+sources only"
    }
  },
  "required": [
    "slug"
  ]
}
🟒get_hidden_costs(slug)

The documented hidden/implementation/add-on costs of a product (uplifts, onboarding fees, overages), each with a sourced quote + date. The "what they don't tell you" answer.

Input Schema

{
  "type": "object",
  "properties": {
    "slug": {
      "type": "string"
    }
  },
  "required": [
    "slug"
  ]
}
🟒get_negotiation_tips(slug)

Sourced negotiation tactics for a product with success-likelihood (how to get a discount).

Input Schema

{
  "type": "object",
  "properties": {
    "slug": {
      "type": "string"
    }
  },
  "required": [
    "slug"
  ]
}
🟒get_price_history(slug)

Dated per-quarter snapshots of a product's pricing page. Returns observations, NOT a trend figure β€” CostBench does not publish one, because diffing snapshots across renamed/restructured plan lineups is ~90% measurement artifact.

Input Schema

{
  "type": "object",
  "properties": {
    "slug": {
      "type": "string"
    }
  },
  "required": [
    "slug"
  ]
}
🟒compare_software(slugs)

Side-by-side pricing comparison of 2–4 products (starting price, enterprise tier, median annual cost, free tier, ratings).

Input Schema

{
  "type": "object",
  "properties": {
    "slugs": {
      "type": "array",
      "items": {
        "type": "string"
      },
      "minItems": 2,
      "maxItems": 4
    }
  },
  "required": [
    "slugs"
  ]
}
🟒discover_software(category, maxPrice, hasFreeTier, limit)

Find software products by criteria (category, max price, free tier). Returns matching slugs to look up.

Input Schema

{
  "type": "object",
  "properties": {
    "category": {
      "type": "string"
    },
    "maxPrice": {
      "type": "number"
    },
    "hasFreeTier": {
      "type": "boolean"
    },
    "limit": {
      "type": "number"
    }
  }
}
🟒calculate_tco(slug, seats, tier, termYears)

Total cost of ownership for a product and team size: sourced line items (licenses with price escalation, benchmark implementation), year-one + multi-year totals, effective per-seat cost. The defensible "true cost for an N-person team" answer.

Input Schema

{
  "type": "object",
  "properties": {
    "slug": {
      "type": "string"
    },
    "seats": {
      "type": "number"
    },
    "tier": {
      "type": "string"
    },
    "termYears": {
      "type": "number"
    }
  },
  "required": [
    "slug",
    "seats"
  ]
}
🟒estimate_llm_cost(slug, model, inputTokens, outputTokens)

Estimate the cost of an LLM/API workload (input + output tokens) for a usage-priced provider (OpenAI, Anthropic, AWS Bedrock…) from its real rate card.

Input Schema

{
  "type": "object",
  "properties": {
    "slug": {
      "type": "string"
    },
    "model": {
      "type": "string"
    },
    "inputTokens": {
      "type": "number",
      "description": "Input tokens for the workload (e.g. per month). At least one of inputTokens/outputTokens must be > 0."
    },
    "outputTokens": {
      "type": "number",
      "description": "Output tokens for the workload. At least one of inputTokens/outputTokens must be > 0."
    }
  },
  "required": [
    "slug"
  ]
}
🟒get_price_changes(slug, category, days, limit, include_suspect)

Recent software pricing changes CostBench detected against vendor pricing pages (increases, decreases, plan restructures) β€” dated, with before/after price bands and a source link. Filter by product slug, category, or lookback window. The "what changed lately" answer; each item links to the sourced record.

Input Schema

{
  "type": "object",
  "properties": {
    "slug": {
      "type": "string",
      "description": "Only changes for this product"
    },
    "category": {
      "type": "string",
      "description": "Only changes in this category slug, e.g. \"crm\""
    },
    "days": {
      "type": "number",
      "description": "Lookback window in days (default 30, max 365)"
    },
    "limit": {
      "type": "number",
      "description": "Max items (default 25, max 100)"
    },
    "include_suspect": {
      "type": "boolean",
      "description": "Include moves flagged as likely extraction artifacts (unit switches, |change| > 300%). Default false."
    }
  }
}

Community

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Evidence

Recent observations

verifiedversion not recorded9 tools
verifiedversion not recorded9 tools