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Feeds AI the latest docs for libraries and frameworks before it answers, so code it writes does not use outdated, removed functions.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 today
Install
Encyport
Overview
Description from the maker (original English)
Search Wikipedia and read articles, summaries, sections, links, and coordinates.
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 on your computer
- Transport: stdio
- 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 your computer with your user’s permissions (files, network, apps).
- The registry lists no key to fill in.
You need
- npmNode.js installed (for the npx command)
Which app do you use?
Pick your app above. We remember it, so next time the button says “Install in …”.
Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json
{
"mcpServers": {
"encyport": {
"command": "npx",
"args": [
"-y",
"@reneturcios/encyport",
"mcp"
]
}
}
}Run this in your terminal
claude mcp add encyport -- npx -y @reneturcios/encyport mcpOr copy the settings yourself
Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json
{
"mcpServers": {
"encyport": {
"command": "npx",
"args": [
"-y",
"@reneturcios/encyport",
"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": {
"encyport": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"@reneturcios/encyport",
"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.
This one runs on your computer, and ChatGPT can only connect to servers on the internet. Pick another app.
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
Runs on your computer; the tool list appears in your AI app after you install it.
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 with the GitHub account CloudCorpRecords, 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 applicable
Endpoint responds
This one runs on your computer; there is no internet endpoint
- – Not applicable
Sign-in with OAuth
Runs on your computer and uses local settings instead
- … Not checked yet
No hidden instructions in tool descriptions
Runs on your computer; we can only read tool lists from internet endpoints
Compared with others in Search & AI memoryi
- More stars than 0% of the other 7243 servers in this category
- Published to the registry more recently than 84% of the other 7243 servers in this category
- Basic checks equal to or better than 100% of the other 7243 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 Encyport 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 on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).
Is it still maintained?
The GitHub repo last changed –, and the latest version (0.1.0) reached the registry 7 days ago.
Which apps can use it?
Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Node.js, Docker on your computer.
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 20 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.
encyport
encyport reads Wikipedia so people and agents do not have to scrape it. Give it a phrase and it finds matching articles; give it a title and it hands back the article text, just the lead summary, the section outline, the pages the article links to, or the coordinates recorded for the subject — all from the public Wikipedia APIs on en.wikipedia.org, with nothing to sign up for and no API key.
Install
npx @reneturcios/encyport search "analytical engine"Or run the container image:
docker run -i ghcr.io/cloudcorprecords/encyportThe container defaults to the MCP server (see below). Pass CLI arguments to use it as a CLI instead.
CLI
Every command prints JSON.
# Search for articlesencyport search Ada Lovelace encyport search black holes --limit 5
Read a page four ways, plus its coordinates
encyport article Ada Lovelace encyport summary Ada Lovelace encyport sections Ada Lovelace encyport links Ada Lovelace encyport coordinates Eiffel Tower
encyport --version
Titles and queries may contain spaces; everything after the command word is joined into one phrase. Exit codes: 0 on success, 1 when the lookup fails (a missing page or an upstream error, named in the message), 2 for usage errors.
MCP server
One bin serves both faces. The mcp subcommand starts a stdio MCP server:
npx -y @reneturcios/encyport mcpMCP client configuration:
{"mcpServers": { "encyport": { "command": "npx", "args": ["-y", "@reneturcios/encyport", "mcp"] } } }
Tools
| Tool | Input | What it returns |
|---|---|---|
search_wikipedia | query (string, required), limit (integer, optional) | Matching articles: title, page id, a cleaned text snippet, word count, and last-revision timestamp for each hit. |
get_article | title (string, required) | The full plain-text content of the article. |
get_summary | title (string, required) | The lead section of the article as plain text — the part most readers mean by "the summary". |
get_sections | title (string, required) | The article's section outline: section number, heading, heading level, and parse index, in document order. |
get_links | title (string, required) | Pages this article links to, each with its namespace and whether the target page exists. |
get_coordinates | title (string, required) | Latitude/longitude pairs recorded for the page (empty when the subject has none), with the primary coordinate flagged. |
Titles follow redirects, so a common name or an old title still lands on the current article. A title that does not resolve to a page is reported as an error rather than returning empty content.
Development
npm installnpm run build # tsc -> dist/ npm test # node test runner over test/*.test.ts, no network npm run dev # run the CLI from source via tsx
The core takes an injectable fetch function, and the test suite drives it entirely with hand-written payloads shaped like real Wikipedia API responses — the tests never touch the network.
License
MIT — see LICENSE.