Verified SaaS, AI, and LLM pricing for 490+ tools: plans, hidden costs, TCO, and alternatives.
ComparEdge Pricing MCP server is a locally run integration for AI assistants that speak the Model Context Protocol. Verified SaaS, AI, and LLM pricing for 490+ tools: plans, hidden costs, TCO, and alternatives.
A free REST API and HTTP MCP server for verified SaaS pricing, AI tool pricing, and LLM pricing across 490+ tools. Every response ships the source link and reuse terms. No API key, no sign-up, CORS open.
Setup follows the usual MCP pattern — install or clone the server, register it in your client's configuration file, restart the client.
Once ComparEdge Pricing is connected, these are the calls the assistant has available:
get_pricing — Full sourced pricing record for one productcompare_software — Side-by-side comparison of 2 to 4 productsdiscover_software — Find software by category, price, or free tierget_hidden_costs — Overage, add-on, and seat-floor costscalculate_tco — Team total cost of ownershipestimate_llm_cost — Token-based cost estimate for an LLM or APIget_price_history — Price-stability signal and latest snapshotget_positioning — Where a product sits against its category medianget_cost_guide — True-cost brief: renewal rates, surviving discounts, negotiation tacticsTools — Setup notes and a full request: examples/mcp.mdPlenty of AI and media services servers cover similar ground. The differences that matter in practice are scope of access and how much setup stands between you and a working tool call. ComparEdge Pricing's toolset — get_pricing, compare_software, discover_software and 7 more — is a fair guide to whether it matches your workflow. It is maintained by comparedge; worth a glance at recent repository activity before you build anything load-bearing on it.
We check each listing at SyncDev against the project's documentation before it goes live — if something here drifts out of date, it is a bug worth reporting.
| Tool | What it does |
|---|---|
| get_pricing | Full sourced pricing record for one product |
| compare_software | Side-by-side comparison of 2 to 4 products |
| discover_software | Find software by category, price, or free tier |
| get_hidden_costs | Overage, add-on, and seat-floor costs |
| calculate_tco | Team total cost of ownership |
| estimate_llm_cost | Token-based cost estimate for an LLM or API |
| get_price_history | Price-stability signal and latest snapshot |
| get_positioning | Where a product sits against its category median |
| get_cost_guide | True-cost brief: renewal rates, surviving discounts, negotiation tactics |
| Tools | Setup notes and a full request: [examples/mcp.md](./examples/mcp.md). |
Build a programmable telecommunications stack for connecting telephony services with the Internet via a cloud-based utility.
Search built for AI, not humans — semantic web search that returns model-ready content, plus code context.
Answers, not links — delegate questions to Perplexity's search-grounded models and get cited responses back.
Give your assistant a voice — text-to-speech, voice cloning and audio tools from the ElevenLabs API.
Give your assistant a real code sandbox — isolated cloud VMs for actually running the code it writes.
The ML hub in your context window — search models, datasets, papers and run Spaces from the official server.