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  1. Home
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  3. CostBench
CostBench logo
Health: ActiveRecent health check succeeded.Last checked 10/12/2026, 7:46:44 AM

CostBench

InstallableWe know how to install it, but have not yet seen it complete a handshake. User RatingsBe the first to rate and review this MCP server!
View RepositoryVisit Website
pricingsoftwareprocurementfinancetco

Read-only MCP tools for sourced software pricing, hidden costs, comparisons, TCO, LLM estimates, and pricing changes.

Quick Install

Automated & IDE Setup

Copy the AI prompt to install this server into Claude Code, Cursor, or another agent — or use 1-click editor setup below.

Add to CursorAdd to VS Code
Not yet automatically verified

We haven't yet run this listing's install command through our automated sandbox check. This isn't a red flag — we're steadily working through the catalog.

Manual Client & Custom JSON ConfigExpand JSON ▾

Client Config & Setup

Configure Environment Variables (API Keys, Tokens, Options):
Add required secrets below — values are included directly in the generated snippet so you can copy and paste with confidence.
Quick Add:
Choose your client or environment
Target File:~/Library/Application Support/Claude/claude_desktop_config.json
claude_desktop_config.json
{
  "mcpServers": {
    "costbench-2": {
      "command": "npx",
      "args": [
        "-y",
        "github:aadilr/costbench-mcp"
      ],
      "env": {
        "COSTBENCH_MCP_URL": "YOUR_VALUE_HERE"
      }
    }
  }
}

💡 Paste the JSON block into your client's configuration file under mcpServers, then restart the application.

Install Tool Schemas (9) Directory Badge Claim listing Alternatives💰 More in Finance & Fintech

Overview

CostBench MCP server provides AI clients with sourced pricing data for more than 3,390 software products. It exposes read-only tools for pricing records, hidden fees, comparisons, TCO calculations, LLM usage estimates, negotiation guidance, and dated price changes, with source links and dates attached to returned figures. Use it when evaluating software costs, comparing vendors, or checking whether a provider’s pricing has changed.

Use cases

•Compare software vendors by annual cost and free-tier availability
•Calculate total ownership costs for a planned team size
•Find hidden fees and implementation charges before procurement
•Track recent vendor pricing changes and historical trends

Key features

•Sourced pricing records with dates and links
•Hidden-cost and negotiation data
•Side-by-side software comparisons
•Team-based TCO calculations
•LLM and API usage-cost estimates
•Dated pricing-change feed

Capabilities & Tool Schemas (9) ~370 tokensApproximate context cost of this server’s tool schemas (~4 chars/token), before any tool is called. Actual usage depends on your client and model.Self-reported Self-reportedParsed from the repository README, not verified against a live server — may be incomplete or out of date.

Inspect callable tools, capabilities, and parameters exposed to AI agents by CostBench.

get_pricing

Full sourced pricing record for a product: tiers, hidden costs, contract terms, market data, sentiment, negotiation tips, TCO scenarios, and price history — each claim with its sources. Args: `slug`, optional `depth` (`summary`\

get_hidden_costs

The documented hidden / implementation / add-on costs (uplifts, onboarding fees, overages), each with a sourced quote + date. Args: `slug`.

get_negotiation_tips

Sourced negotiation tactics with success-likelihood. Args: `slug`.

get_price_history

Per-quarter price snapshots + trend — has the price changed? Args: `slug`.

compare_software

Side-by-side pricing for 2–4 products (starting price, median annual cost, free tier, ratings). Args: `slugs` (array).

discover_software

Find products by `category`, `maxPrice`, `hasFreeTier`. Returns matching slugs to look up.

How CostBench works

What CostBench MCP server does

CostBench MCP server connects an MCP client to CostBench.com’s software-pricing dataset. The service covers more than 3,390 products across 255 categories, including commercial software and usage-priced providers. Returned records can include tiers, contract terms, hidden or implementation costs, market data, sentiment, negotiation guidance, total-cost scenarios, and historical prices.

The server is read-only. It does not require an account or API key, and responses include attribution plus links to the pages used as sources. Data fields may also include a license marker identifying CostBench-owned research or restricted third-party market medians.

How it works

Products are addressed with a slug such as salesforce, microsoft-teams, or openai-api. If the slug is unknown, call discover_software with a category, maximum price, or free-tier filter to find matching products.

CostBench MCP server can be used through the hosted streamable HTTP endpoint at https://costbench.com/mcp. Clients that only support stdio can run the supplied bridge locally; it forwards requests to the hosted service. The repository can also be installed as an Agent Skill or Claude Code plugin, and Docker support is provided for local execution.

Every pricing claim is accompanied by provenance information. Because the data is sourced and dated, applications should preserve the returned source links when presenting prices or changes to users.

Setup and configuration

For a remote MCP connection, configure the server URL https://costbench.com/mcp with streamable HTTP. A local stdio configuration can invoke the package through npx -y github:aadilr/costbench-mcp. The repository can alternatively be cloned, installed with npm, and started with node index.js.

Docker users can build the image and run it interactively. The optional COSTBENCH_MCP_URL environment variable overrides the default hosted endpoint. The repository also supports npx skills add aadilr/costbench-mcp for skills-capable agents and provides separate Claude Code plugin commands.

Tools and capabilities

CostBench MCP server exposes these read-only operations:

  • get_pricing returns a summary or full record for one product.
  • get_hidden_costs lists documented add-on, onboarding, uplift, and overage costs with quotes and dates.
  • get_negotiation_tips returns sourced tactics and estimated success likelihood.
  • get_price_history provides quarterly snapshots and a trend.
  • compare_software compares two to four products by starting price, median annual cost, free tier, and ratings.
  • discover_software filters the catalog and returns product slugs.
  • calculate_tco estimates year-one and multi-year ownership costs for a team, including effective per-seat cost.
  • estimate_llm_cost estimates input and output token costs from a usage-priced provider’s rate card.
  • get_price_changes returns dated before-and-after pricing bands and source links, with filters for product, category, age, and result count.

Limitations and notes

Requests are rate-limited to 60 per IP address per minute. The service never writes data. Pricing and market information can change, so consumers should use the returned dates and source URLs rather than treating figures as permanent. Restricted market-data fields can be shown to users but are not licensed for commercial redistribution. The project is released under the MIT license.

Read the full README →View source on GitHub →

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Adoption & maintenance

Factual signals from GitHub, npm, and our automated checks — not a rating.

Last commit
1mo ago
Most recent push to the default branch.
Tools exposed
9
Callable tools this server registers over MCP.

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Frequently Asked Questions about CostBench

CostBench is an MCP server that connects AI clients to CostBench's sourced software-pricing database and exposes tools for pricing, hidden costs, negotiation tips, price history, comparisons, discovery, TCO, LLM cost estimates, and detected price changes. It is read-only, needs no API key or signup, and returns dated source links.

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Technical Specs & Signals

Category💰Finance & Fintech
More technical detailsExpand ▾
TransportSTDIO
RuntimeNode.js
LicenseMIT
ClientsClaude Desktop, Cursor, Cline / VS Code, Windsurf, Claude Code, VS Code (GitHub Copilot), Zed, OpenAI Codex CLI, Gemini CLI, JetBrains AI Assistant, Roo Code, Continue, LM Studio
Last updatedOct 7, 2026
13/17 checks healthy over the last 64d
Views0
Unique ViewsTotal visits recorded for this listing page on AllMCPs.
Installs0
Installs & Copy ActionsTotal times users copied install commands or configuration snippets for this server.
GitHub stars0
GitHub Star CountTotal stargazers on GitHub representing community popularity (0 stars).
Last commit1mo ago
Last Repository CommitThe most recent commit or push recorded for this server's GitHub repository.Last commit on Aug 24, 2026
49Quality signal: Fair · 49/100How this signal is calculated ▾
Server availabilityNot measured

Not scored for repo-hosted servers — we can't reach the running server, only its GitHub page. Hosted MCP endpoints are health-checked live.

Verified ownership10/20
Documentation & tools25/30
Adoption & activity2/15
Community engagement0/10

A guidance signal from public completeness & health data — not a user rating. New listings start lower and rise as they add docs, get verified, and grow adoption. Signals we can't observe for a listing are skipped, not counted against it.

Supply-chain signal

No high-severity advisories surfaced by our automated scan.

Critical 0High 0Medium 0Low 0

Scanned 8d ago via OSV.dev · github:aadilr/costbench-mcp (npm)

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