Context7
by upstash
Feeds AI the latest docs for libraries and frameworks before it answers, so code it writes does not use outdated, removed functions.
Computer or cloud★ 64,224MITUpdated yesterday
Install
OptimToken
Overview
Description from the maker (original English)
Compare LLM API and cloud compute pricing, estimate workload costs, pick a model within budget.
PopNx MCP’s three pillars
These three are never merged into one score: opinions, measurements and popularity are different things.
- User voiceiNo reviews yetReviews open together with accounts in a later step
- Our basic checksi1 of 1 passedChecked from public information; code not scanned yet
- UsageiNot measured yet★ –
What you can do with it
We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.
- Connection: Runs in the cloud
- Transport: Streamable HTTP
- Category: Search & AI memory
Install
Pick the AI app you use, then copy the settings.
Before you install
- Basic checks: 1 of 1 passed
- Runs on the maker’s server: what you ask it goes through their server.
- The registry lists no key to fill in.
You need
- Runs in the cloudNothing to install; it connects over the internet
Which app do you use?
Pick your app above. We remember it, so next time the button says “Install in …”.
Works in Claude on the web, desktop and mobile:
- Open Settings → Connectors
- Press Add custom connector
- Paste the address below and press Add
- If it asks you to sign in, sign in with the maker
https://optimtoken-mcp.optimnow.io/mcpRun this in your terminal
claude mcp add --transport http ai-pricing-hub https://optimtoken-mcp.optimnow.io/mcpOr copy the settings yourself
Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json
{
"mcpServers": {
"ai-pricing-hub": {
"url": "https://optimtoken-mcp.optimnow.io/mcp"
}
}
}Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.
Or copy the settings yourself
Paste into .vscode/mcp.json in your project
{
"servers": {
"ai-pricing-hub": {
"type": "http",
"url": "https://optimtoken-mcp.optimnow.io/mcp"
}
}
}Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.
ChatGPT connects only to servers on the internet:
- Open ChatGPT on the web → Settings → Connectors (Apps)
- Press Create or Add (some plans need Developer mode under Advanced first)
- Paste the address below, give it a name and save
- If it asks you to sign in, sign in with the maker
https://optimtoken-mcp.optimnow.io/mcpMenu names can differ slightly by plan and over time.
Your choice stays on this device in a cookie; no account needed.
These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.
What it can do
We have not read this server’s tool list yet; we check endpoints in rotation.
Basic checksi
We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 7, 2026
- ✓ Pass
Maker matches the repo
The registry name was verified with the GitHub account OptimNow, which owns the repo
- … Not checked yet
Still maintained
We have not read this repo from GitHub yet
- … Not checked yet
Has a licence
We have not read this repo from GitHub yet
- … Not checked yet
Endpoint responds
Not checked yet; we check endpoints in rotation
- … Not checked yet
Sign-in with OAuth
Not checked yet; we check endpoints in rotation
- … Not checked yet
No hidden instructions in tool descriptions
Not checked yet; we read the tool list when we check the endpoint
Compared with others in Search & AI memoryi
- More stars than 0% of the other 7277 servers in this category
- Published to the registry more recently than 55% of the other 7277 servers in this category
- Basic checks equal to or better than 100% of the other 7277 servers in this category
Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.
Common questions
Is OptimToken safe?
It passed 1 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.
What keys or codes does it need?
The registry does not list a required key, though some servers ask you to sign in on first use.
Does it run on my computer or in the cloud?
It runs in the maker’s cloud. Connect over the internet with nothing to install, but what you send passes through the maker’s servers.
Is it still maintained?
The GitHub repo last changed –, and the latest version (0.4.2) reached the registry 30 days ago.
Which apps can use it?
Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. It connects by URL, so apps that accept remote MCP servers work too, such as ChatGPT in developer mode.
What can I use instead?
In the same category: Context7, Codebase Memory, Exa
Alternatives
Servers in the same category from other makers, sorted by stars.
Reading a card:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi
Codebase Memory
by DeusData
Codebase knowledge graph for AI agents — 162 languages, sub-ms queries, 99% fewer tokens.
Runs on your computer★ 48,148MITUpdated 21 days ago
Install
Exa
by exa-labs
Connect AI agents to Exa for web search, content fetching, and multi-step research.
Runs in the cloud★ 5,213MITUpdated last month
Install
README from the maker
Open the README
Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.
OptimToken MCP
Built by OptimNow. Ask an AI assistant what a model or an
instance actually costs, and get a dated, sourced figure instead of a number the
model remembers from its training data.
Connect in 30 seconds
The server is hosted, so there is nothing to install.
https://optimtoken-mcp.optimnow.io/mcpPaste it exactly as written, with /mcp and no trailing slash. The widgets render only for that form: the host checks a hash of the URL you entered.
| Client | How to add it |
|---|---|
claude mcp add --transport http optimtoken https://optimtoken-mcp.optimnow.io/mcp | |
| Settings → Connectors → Add custom connector, paste the URL above | |
| Settings → Connectors → Add, paste the URL. Comparisons render as interactive widgets | |
| Add an HTTP MCP server entry pointing at the URL |
Then just ask:
*"We send 200k support tickets a month at about 1,500 input tokens each. Which model gives me the best quality per euro, and what would it cost?"*
Why this exists
Model prices change weekly, and a language model's idea of them is frozen at its training cutoff. Ask one what Claude or GPT costs and you get a confident answer that was true some months ago, with no date attached and no way to tell. The same applies to cloud instance rates, which additionally vary by region in ways nobody memorises.
This server replaces recall with a lookup:
- Live prices, not remembered ones. Every LLM figure comes from the OptimToken catalogue, which tracks 250+ models and refreshes daily.
- Corrected prices. OptimToken keeps a committed price archive, a verified overrides table checked against vendor pricing pages, and an anomaly check that alarms on the half-price and double-price breaks upstream feeds occasionally publish. This server asks that catalogue rather than re-deriving prices itself.
- Cost per request, not cost per million tokens. Price-per-token comparisons hide the thing you actually pay for. The tools apply your token shape, your cache hit rate and batch eligibility, and return a figure per request and per month.
- Every answer carries its provenance. Which tier served it, and whether the prices were verified.
Tools
| Tool | What it answers |
|---|---|
| `compare-llm-models` | "What is out there?" Browse and filter the catalogue on price, quality (Chatbot Arena ELO), efficiency and capabilities, with a self-hostability read from the licence. |
| `recommend-llm-model` | "Just tell me which one." A ranked top 3 for one workload under your constraints (budget, minimum ELO, required capability, self-hostability), each with a per-constraint satisfied or violated breakdown as the evidence. Over-constrained queries return the nearest misses, labelled as such. |
| `compare-models-side-by-side` | "How do these specific ones compare?" 2 to 4 named models across all 8 use case profiles at a chosen monthly volume, list and optimized cost for each. |
| `estimate-llm-cost` | "What will this cost us per month?" Per-request and monthly cost for your own volume, token shape, cache hit rate and batch eligibility. |
| `compare-compute-pricing` | "What should we run it on?" Compute instance rates across AWS, Azure, GCP, OCI, OVH, DigitalOcean and Alibaba, by region and category. |
All five are read-only and take no credentials. Nothing you send is stored.
Use case profiles ship with realistic token shapes, so you do not have to invent them: Support Ticket, Knowledge Q&A, Meeting Summary, Marketing Content, Coding Task, Invoice Processing, Call Summary, Agent Workflow.
Where the numbers come from
optimtoken.optimnow.io is the single source of truth. When it cannot be reached, the server degrades in tiers rather than failing, and says which tier it used.
| Tool | Tier 1 | Tier 2 | Tier 3 |
|---|---|---|---|
| LLM tools | GET /api/llm-models | OpenRouter direct | embedded snapshot |
| Compute tool | GET /api/pricing?region= | not available | embedded snapshot (137 rows) |
Tiers 2 and 3 serve uncorrected prices, and that matters more than it sounds. An upstream feed once published a frontier model at half its real list price, which halves every monthly figure derived from it. So every response carries a provenance object with pricesVerified, and the lower tiers put a notice at the top of the answer. A fallback should never quietly downgrade correctness.
Tier 1 is accepted only when the catalogue reports that it is itself serving fresh upstream data. If the site is on its own fallback, it carries no corrections, and this server treats it accordingly.
Local development
Requires Node.js 24+.
npm installnpm run dev # Skybridge dev server + MCP inspector at localhost:3000 npm test # schema conformance, serialisation precision, data sources npm run build # widgets + server
The static fallback catalogue is refreshed by hand, not on a schedule:
npm run refresh-fallbackBecause it is manual, check its dataAsOf before trusting a tier-3 response. An unrefreshed fallback ages silently.
ai-pricing-hub-mcp/├─ server/src/index.ts # tool + widget registrations ├─ server/src/lib/optimtoken-api.ts # the one base URL constant, fetch and timeout discipline ├─ server/src/lib/ # ranking, efficiency scoring, provenance, normalisation ├─ server/src/data/ # static fallback pricing + region maps └─ web/src/widgets/ # React widgets rendered in the client
Built with Skybridge, deployed on Fly.io.
The rest of the family
| OptimToken | The web app. Same catalogue, full UI, an AI advisor and a public JSON API. |
| AI ROI Calculator | Does the AI business case pay for itself. Same prices, plus harness costs and value modelling. |
| cloud-finops-skills | FinOps knowledge for AI agents: AWS, Azure, GCP, AI inference, SaaS. |
| finops-mcp-resources | MCP servers, tutorials and client guides for cloud cost work. |
License
Released under the MIT License.
Prices served by this server come from third-party sources and are provided as is, without warranty. Verify against vendor pricing pages before committing spend.
Questions about your own AI or cloud bill? Talk to OptimNow.