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Feeds AI the latest docs for libraries and frameworks before it answers, so code it writes does not use outdated, removed functions.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
Scicompute
Overview
Description from the maker (original English)
Scientific computation: named tensors, matrix algebra and vector operations, fully local.
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": {
"scicompute": {
"command": "npx",
"args": [
"-y",
"@reneturcios/scicompute",
"mcp"
]
}
}
}Run this in your terminal
claude mcp add scicompute -- npx -y @reneturcios/scicompute mcpOr copy the settings yourself
Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json
{
"mcpServers": {
"scicompute": {
"command": "npx",
"args": [
"-y",
"@reneturcios/scicompute",
"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": {
"scicompute": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"@reneturcios/scicompute",
"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 7236 servers in this category
- Published to the registry more recently than 89% of the other 7236 servers in this category
- Basic checks equal to or better than 100% of the other 7236 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 Scicompute 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 4 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 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.
scicompute
scicompute is a scientific-computation server built around one idea: a named, in-process tensor store. You create tensors under names, then run matrix algebra and vector operations by referring to those names. Everything is computed locally in pure TypeScript — no network, no external math library. One binary serves a command-line interface and a stdio MCP server.
This build is a labelled core subset of the documented tool set: tensor storage, linear algebra, and vector operations (14 tools). Eigen/SVD/QR decompositions, the vector-calculus tools, basis changes, and plotting from the wider documented set are not included; see the build report for the full omission list.
Install
npx @reneturcios/scicompute create-tensor T 2,2 1,2,3,4Or run the container image:
docker run -i ghcr.io/cloudcorprecords/scicomputeThe container defaults to the MCP server (see below). Pass CLI arguments to use it as a CLI instead.
CLI
scicompute create-tensor A 2,2 4,7,2,6scicompute view-tensor A scicompute determinant A scicompute --version
The store is in-process, so a single CLI invocation holds its tensors only for its own lifetime; chained operations over several tensors belong to one MCP session, where the store persists across tool calls. Exit codes: 0 on success, 1 for a computation error (such as a shape mismatch or a singular matrix), 2 for usage errors.
Subcommands: create-tensor, view-tensor, delete-tensor, add, subtract, multiply, scale (--no-in-place to leave the stored matrix untouched), transpose, determinant, rank, inverse, dot, cross, project, and mcp.
MCP server
npx -y @reneturcios/scicompute mcpMCP client configuration:
{"mcpServers": { "scicompute": { "command": "npx", "args": ["-y", "@reneturcios/scicompute", "mcp"] } } }
Tools
| Tool | Input | What it returns |
|---|---|---|
create_tensor | name, shape, values (all required) | The stored tensor: name, shape, flat values, and nested data. values length must equal the shape product. |
view_tensor | name (required) | The stored tensor under that name. |
delete_tensor | name (required) | Confirmation that the tensor was deleted. |
add_matrices | a, b (required), result (optional) | The element-wise sum matrix; stored under result when given. |
subtract_matrices | a, b (required), result (optional) | The element-wise difference matrix. |
multiply_matrices | a, b (required), result (optional) | The matrix product. |
scale_matrix | name, factor (required), in_place (optional) | The scaled matrix. In place by default; stored matrix is untouched when in_place is false. |
transpose | name (required), result (optional) | The transposed matrix. |
determinant | name (required) | The determinant of a square matrix. |
rank | name (required) | The matrix rank, from row-echelon reduction. |
matrix_inverse | name (required), result (optional) | The inverse of a square, non-singular matrix. |
vector_dot_product | a, b (required) | The dot product of two stored vectors. |
vector_cross_product | a, b (required) | The cross product of two stored 3-vectors. |
vector_project | a, b (required) | The projection of vector a onto vector b. |
Algebra and vector operands are tensor names, not raw data. Matrices are 2-entry shapes and vectors are 1-entry shapes; shape mismatches, missing tensors, non-square determinant/inverse requests, singular inverses, and projections onto the zero vector are all errors rather than silent zeros.
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
License
MIT — see LICENSE.