ZBS Index What actually exists in applied AI, with the source next to it

mcp server

ComparEdge Pricing

Verified SaaS, AI, and LLM pricing for 490+ tools: plans, hidden costs, TCO, and alternatives.

Description as published by the maintainer. Source

  • version 1.0.0
  • active

active — Most recent push to the repository was 2026-07-15.

What this server can do

9 functions, named and described by the server itself. Parameter names are shown because they say more about what a function does than its name usually does.

calculate_tco(slug, tier, seats, billing)
Total cost of ownership for a team: the seat-aware, annual-aware subscription line plus the hidden-cost line items. Params: slug, seats, tier, billing (monthly|annual). Required: slug.
compare_software(slugs)
Structured side-by-side comparison of 2 to 4 products, each a full record plus a compact matrix (starting price, free tier, max annual discount, hidden-cost count). Required: slugs.
discover_software(q, limit, category, maxPrice, hasFreeTier)
Find software by criteria: category, max starting price, free-tier requirement, or a keyword. Returns compact cards with the source link for each.
estimate_llm_cost(slug, model, inputTokens, outputTokens)
Per-model token rate card ($/1M input, output, cached input, context window) for a token-priced AI product, plus a cost estimate when a token volume is given. Required: slug.
get_cost_guide(slug)
Negotiation-ready true-cost brief for one product: real renewal-rate costs, the vendor cost-transparency score, discount programs that survive renewal, negotiation tactics with expected discount ranges, what is negotiable vs fixed, and a link to a free negotiation email generator. Required: slug.
get_hidden_costs(slug)
The costs beyond the sticker price (implementation, add-ons, overage, support) for one product, with the intro context and category positioning. This is the data most pricing answers miss. Required: slug.
get_positioning(slug)
Where a product sits on price against its category: starting price vs the category median, min, max and sample size — the most citable one-line stat. Required: slug.
get_price_history(slug)
Price-stability signal, latest verified snapshot, last observed change and derived trend for one product. Required: slug.
get_pricing(slug, depth, fields)
Full sourced pricing record for one product: tiers with per-tier features, price range, annual discounts, hidden costs, capabilities, verdict, plan advice, category positioning, verification and links. Required: slug.

Last successful function declaration observed on . Source: https://comparedge.com/api/mcp. We list what the server declared; we do not call any of these functions.

Endpoint status observed on . Source: https://comparedge.com/api/mcp.

Signals

These are separate measurements of different things. They are deliberately not combined into one score, because a popularity number that mixes website traffic with saves and stars cannot be checked or acted on.

Signal Value What it measures Window Observed Source
GitHub stars 2 Number of GitHub accounts that bookmarked this repository since it was created. It is a bookmark count, not installs, not active users and not quality. cumulative, all time GitHub
Last commit 2026-07-15 Date of the most recent push to any branch. This is the strongest cheap indicator of whether the project is still maintained. point in time GitHub
Open issues 0 Open issues plus open pull requests, as GitHub counts them together. A high number can mean an active project or an abandoned one. as of fetch GitHub
Latest published version 1.0.0 Latest version string the maintainer published to the registry. as of fetch Model Context Protocol
Registry record last updated 2026-07-13 When the registry record was last updated by its maintainer. point in time Model Context Protocol
First listed in the MCP Registry 2026-07-13 Date this server was first published to the official MCP Registry. Not a usage or quality measure. point in time Model Context Protocol
repository status active The repository exists on GitHub and is not archived. This says nothing about how recently it was worked on. as of fetch GitHub
mcp tools declared 9 tools Number of functions the server itself declared when asked to list them. This is what the server offers an agent, not a measure of how well any of them work. as of probe comparedge.com
mcp endpoint status ok The server listed 9 functions when asked. as of probe comparedge.com

Where to get it

Related, by what their authors tagged them

  • PromptSpend — last commit 2026-08-06, shares llm-pricing, pricing-api
    LLM pricing where every rate carries its source and the date it was last confirmed.
  • CostBench — last commit 2026-07-25, shares pricing, saas, software-pricing
    Verified pricing, hidden costs, negotiation data & TCO for 3,290+ software products.
  • The Front Desk Review — last commit 2026-07-22, shares saas-pricing
    4,764 products, 626 categories: sourced prices, dated price history, independent-test coverage.
  • ATOM Pricing Intelligence — last commit 2026-06-23, shares llm-pricing
    The Global Price Benchmark for AI Inference. 1,600+ SKUs, 40+ vendors, 14 price indexes.
  • Cloudprice — last commit 2026-08-02, shares pricing
    Compare on-demand compute + storage pricing across AWS, Azure, and GCP. Bulk workload compare.
  • io.github.Daichi-Kudo/llm-advisor — last commit 2026-06-18, shares pricing
    Real-time LLM/VLM benchmarks, pricing, and recommendations. 300+ models, 5 sources.
  • io.github.enzoemir1/shopops-mcp — last commit 2026-08-05, shares pricing
    AI e-commerce operations. Inventory, pricing, segmentation, and analytics.
  • io.github.friendlygeorge/jobber-mcp-server — archived, last commit 2026-06-11, shares api, saas
    MCP server for Jobber (home services SaaS) — exposes tools for clients, jobs, invoices, and quote...
  • DABLOCK AI Visibility Index — last commit 2026-08-06, shares saas
    Measured share of answer for 24 crypto and Web3 brands. An open dataset, not an audit of your site.
  • DABYTE AI Visibility Index — last commit 2026-08-06, shares saas
    Measured share of answer for 20 SaaS brands. An open dataset, not an audit of your site.

These share tags the maintainers applied themselves, such as llm-pricing, pricing-api, pricing, saas. Common tags like "mcp" or "ai" are ignored for this: agreeing with six hundred other projects is not a similarity.

This is not a recommendation and not a test result. It is a map of what the authors said their work is about.

Also from comparedge

  • ComparEdge LLM Cost
    Token cost math for LLM API calls: verified per-1M-token rates for 69 models, 17 providers.
  • ComparEdge
    Verified pricing, alternatives, and comparisons for 495+ SaaS and AI tools.
  • ComparEdge Price Watch
    Dated log of SaaS, AI and crypto price changes: recent moves, history, biggest increases.

How the author describes it

Topics the maintainer set on GitHub: ai-tools, api, llm-pricing, mcp, model-context-protocol, openapi, pricing, pricing-api, pricing-dataset, saas, saas-pricing, software-pricing.

This record as data

Every field on this page, with its source and observation date, is in the catalog JSON. Fetch the whole kind at once instead of parsing this HTML.

GET /api/v1/entries/mcp_server.json

Sources

  1. comparedge/pricing-api on GitHub — GitHub, observed , trust tier 3.
  2. Tools declared by the MCP server at https://comparedge.com/api/mcp — comparedge.com, observed , trust tier 1.
  3. Official MCP Registry — Model Context Protocol, observed , trust tier 1.