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Feeds AI the latest docs for libraries and frameworks before it answers, so code it writes does not use outdated, removed functions.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 3 days ago
Install
Dictionary of Applied Machine Learning
Overview
Description from the maker (original English)
Look up, search and cross-reference machine-learning terms from dictionaryofml.org.
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://dictionaryofml.org/mcpRun this in your terminal
claude mcp add --transport http dictionary https://dictionaryofml.org/mcpOr copy the settings yourself
Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json
{
"mcpServers": {
"dictionary": {
"url": "https://dictionaryofml.org/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": {
"dictionary": {
"type": "http",
"url": "https://dictionaryofml.org/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://dictionaryofml.org/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 6, 2026
- ✓ Pass
Maker matches the repo
The registry name was verified against the domain dictionaryofml.org (the registry checks domain ownership)
- … 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 7240 servers in this category
- Published to the registry more recently than 76% of the other 7240 servers in this category
- Basic checks equal to or better than 100% of the other 7240 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 Dictionary of Applied Machine Learning 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 (1.0.0) reached the registry 11 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
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Install
Exa
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Runs in the cloud★ 5,213MITUpdated 44 days ago
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.
Dictionary of Applied Machine Learning — companion repository
Companion code for the Dictionary of Applied Machine Learning (course edition, CC BY 4.0): 114 machine-learning terms, each defined precisely and cross-referenced, with citations, a typeset PDF, and a Python demo that recomputes what the entry states.
| Directory | Contents |
|---|---|
notebooks/ | The per-term Python demos as Jupyter notebooks — each opens in Colab with one click from its demo page |
mldict/ | mldict.sty: the dictionary's notation as a LaTeX package (\usepackage{mldict}) |
mcp/ | An MCP server exposing the dictionary to AI assistants (Claude Code, VS Code Copilot, …) |
The notebooks and mldict.sty are generated from the dictionary's source; edits belong there, not here. The dictionary itself — definitions, symbol list, per-term PDFs — lives at dictionaryofml.org; the full content is also machine-readable as terms.json and indexed for LLM crawlers in llms.txt.
Provenance and disclaimer
The source code in this repository (demo notebooks, LaTeX package, MCP server) was created with the help of large language models (LLMs), under review by the author. It is provided as is, without warranty of any kind: use at your own risk and verify results independently before relying on them.
Basic checks are applied to the Python demos before release:
- each demo runs its own
check()assertions on the quantities it computes, with fixed random seeds for reproducibility; ruff check --select F(correctness rules only: undefined and unused names);bandit, restricted to the exec/eval/shell-injection checks (B102, B307, B602, B605) — the one deliberate exception is thellmdemo, whose subject is an LLM wrapper executing emitted code;- project-specific linters for figure style and for keeping a demo's prose within the concepts its dictionary entry introduces.
These are screens, not proofs of correctness.
The demos import two third-party packages, numpy and matplotlib (both preinstalled on Colab); the source repository pins their exact versions, since the committed figure data is byte-reproducible only under the pinned pair.
MCP server
pip install -r mcp/requirements.txtclaude mcp add --scope user dictionaryofml -- python /path/to/mcp/server.py
Tools: list_all_terms, lookup_term, search_terms, get_related_terms, list_learning_paths, get_learning_path. Content is fetched from the site's terms.json and cached for a day.
Citing
@misc{dictml,author = {Jung, Alexander and Olioumtsevits, Konstantina and Schnoor, Ekkehard}, title = {Dictionary of Applied Machine Learning (course edition)}, doi = {10.5281/zenodo.21569296}, note = {ISBN 978-952-64-3013-3, CC BY 4.0}, url = {https://dictionaryofml.org} }
Each term page carries its own "Cite this entry" BibTeX block. This repository is a course-edition companion, distinct from the copyrighted Springer *Dictionary of Applied Machine Learning*.
License
CC BY 4.0. Maintained by Alexander Jung, Aalto University; corrections and suggestions are welcome at the address on dictionaryofml.org.