Context7
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Description from the maker (original English)
Search TheAlgorithms across 24 languages; fetch implementations with examples.
These three are never merged into one score: opinions, measurements and popularity are different things.
We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.
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Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json
{
"mcpServers": {
"thealgorithms": {
"command": "uvx",
"args": [
"thealgorithms-mcp"
]
}
}
}Run this in your terminal
claude mcp add thealgorithms -- uvx thealgorithms-mcpPaste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json
{
"mcpServers": {
"thealgorithms": {
"command": "uvx",
"args": [
"thealgorithms-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.
Paste into .vscode/mcp.json in your project
{
"servers": {
"thealgorithms": {
"type": "stdio",
"command": "uvx",
"args": [
"thealgorithms-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.
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Runs on your computer; the tool list appears in your AI app after you install it.
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
The registry name was verified with the GitHub account mcande21, which owns the repo
We have not read this repo from GitHub yet
We have not read this repo from GitHub yet
This one runs on your computer; there is no internet endpoint
Runs on your computer and uses local settings instead
Runs on your computer; we can only read tool lists from internet endpoints
Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.
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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).
The GitHub repo last changed –, and the latest version (0.3.1) reached the registry 5 months ago.
Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Python (uv) on your computer.
In the same category: Context7, Codebase Memory, Exa
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
Feeds AI the latest docs for libraries and frameworks before it answers, so code it writes does not use outdated, removed functions.
Codebase knowledge graph for AI agents — 162 languages, sub-ms queries, 99% fewer tokens.
Connect AI agents to Exa for web search, content fetching, and multi-step research.
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.
mcp-name: io.github.mcande21/thealgorithms-mcp
An MCP server for querying the TheAlgorithms org across every language repo — search algorithm implementations and fetch any one with its in-file examples.
Languages are auto-discovered from the org (not a hardcoded list): a repo is indexed when it publishes a parseable DIRECTORY.md — currently 24 languages (Python, Java, C++, JavaScript, Rust, C, TypeScript, PHP, Dart, Kotlin, Ruby, R, Scala, Swift, Julia, Haskell, MATLAB, Zig, Fortran, Nim, Clojure, F#, Jule, aarch64-assembly). Repos without a DIRECTORY.md (Go, C#, Lua, Solidity, …) are reported by list_languages with their exclusion reason — no silent gaps.
Hybrid design: each repo's DIRECTORY.md index is cached locally (ETag + TTL); file contents are fetched on demand from raw.githubusercontent.com. The org/language manifest is auto-discovered via the GitHub API and cached 7 days. No token required (set GITHUB_TOKEN to raise the rate limit). See DESIGN.md.
| Tool | Purpose |
|---|---|
list_languages() | Indexed languages (+ counts, aliases) and excluded repos with reasons |
list_categories(language='python') | Categories with entry counts for a language |
search_algorithms(query, language='python', category?, limit=10) | Ranked {name, category, path, score} |
get_category(category, language='python') | Every algorithm in a category |
get_algorithm(path, language='python', include_source=True) | Source + extracted examples |
compare(name, languages?, min_score=90, limit_per_language=1) | Real matches across languages + missing_in |
suggest(prefix, language='python', limit=10) | Trie-backed name autocomplete (dij → Dijkstra) |
language accepts names or aliases (cpp/c++, js, ts, …). Typical flow: search_algorithms("dijkstra", language="rust") → get_algorithm("src/graph/dijkstra.rs", language="rust"). Examples are extracted where the language has an in-file convention (Python doctests, Rust doc-tests); other languages return source plus a note.
From PyPI (recommended):
{ "thealgorithms": { "command": "uvx", "args": ["thealgorithms-mcp"] } }
From GitHub:
{ "thealgorithms": {
"command": "uvx", "args": ["--from", "git+https://github.com/mcande21/thealgorithms-mcp", "thealgorithms-mcp"] } }
From a local checkout (development):
uv sync
uv run thealgorithms-mcp # serves over stdio
Add any of the above to ~/.normandy-generic/mcp.json (or your MCP client config).
uv run python scripts/verify_stdio.py # multi-language contract over stdio
uv run python scripts/verify_language.py rust # one language, end-to-end
The harness spawns the server over stdio and asserts every tool against the live org, including binary-search fetch across ≥8 languages and cross-language compare().