GitHub
GitHub’s official server lets AI read and manage code, issues and pull requests in your account. Use GitHub’s hosted version or run it locally with Docker.
Description from the maker (original English)
Run Python, Java, C, C++, C#, Go, Rust and 39 more languages, each run in a fresh, offline sandbox.
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.
Pick the AI app you use, then copy the settings.
AuthorizationValues marked secret are keys to your account. Never share them or paste them into a chat.
You need
Which app do you use?
Pick your app above. We remember it, so next time the button says “Install in …”.
This address needs a key in a request header, which the add-connector menu cannot set. Use Claude Code, Cursor or VS Code instead.
Run this in your terminal
claude mcp add --transport http compiler https://api.onlinecompiler.io/mcp --header 'Authorization: Bearer {api_key}'Fill in the empty values before running it.
Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json
{
"mcpServers": {
"compiler": {
"url": "https://api.onlinecompiler.io/mcp",
"headers": {
"Authorization": "Bearer {api_key}"
}
}
}
}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": {
"compiler": {
"type": "http",
"url": "https://api.onlinecompiler.io/mcp",
"headers": {
"Authorization": "Bearer {api_key}"
}
}
}
}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 address needs a key in a request header, which the add-connector menu cannot set. Use Claude Code, Cursor or VS Code instead.
Your choice stays on this device in a cookie; no account needed.
Authorization secret HTTP headerThese settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.
The server asks you to sign in before it lists its tools.
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 9, 2026
The registry name was verified against the domain onlinecompiler.io (the registry checks domain ownership)
We have not read this repo from GitHub yet
We have not read this repo from GitHub yet
Responded in 207 ms (HTTP 401)
Declares OAuth sign-in, so your AI app can take you to log in
Not checked yet; we read the tool list when we check the endpoint
Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.
It passed 3 of 3 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.
You need to fill in: Authorization
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.
The GitHub repo last changed –, and the latest version (1.2.1) reached the registry 2 days ago.
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.
In the same category: GitHub, Desktop Commander, Cloudflare MCP
Servers in the same category from other makers, sorted by stars.
Reading a card:↓ Downloads per weeki★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi
GitHub’s official server lets AI read and manage code, issues and pull requests in your account. Use GitHub’s hosted version or run it locally with Docker.
MCP server for terminal commands, file operations, and process management
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.
An MCP server that lets AI assistants execute code in 46 programming languages via OnlineCompiler.io.
Each run starts a fresh gVisor sandbox (512 MB RAM, 30 s timeout, no network access).
Python, C, C++, Fortran, Java, C#, F#, Visual Basic, Go, Rust, PHP, Ruby, Haskell, TypeScript (Deno), JavaScript (Node.js), Kotlin, R, Bash, SQL (SQLite), SQL (DuckDB), Swift, COBOL, Perl, Julia, Pascal, Octave, Assembly (NASM), Lua, OCaml, Common Lisp, Erlang, Elixir, Prolog, D, FreeBASIC, Dart, Clojure, Groovy, Scala, Zig, Nim, Crystal, Ada, PowerShell, Racket and Objective-C. list_compilers returns the current list with versions.
Point your MCP client at the URL. No install needed.
https://api.onlinecompiler.io/mcp
There are two ways in:
Authorization: Bearer (the bare key works too). Get a free key on the API Keys page.Runs count against your plan either way. A wrong or disabled key gets 401.
list_compilersList all available compilers with their identifiers.
run_codeExecute code with a specified compiler.
Parameters:
code (required): Source code to executecompiler (required): Compiler identifier from list_compilers (e.g. python-3.14, gcc-15)input (optional): Standard input for the programtime_limit (optional): Seconds the run may take, above 0 and at most 30 (default 30)files (optional): Files the program can use, up to 20 and 1,000,000 decoded bytes in total: helper source files (compiled with the program) and input data. Each {"name": "util.py" or "pkg/util.py", "content": "...", "encoding": "utf8" or "base64"}; the program finds them in its working directorypython-3.14 includes numpy, pandas, scipy, scikit-learn, matplotlib, seaborn, statsmodels, sympy, openpyxl, pillow and duckdb. Files a program writes to $OUTPUT_DIR come back (png, svg, csv, json, txt; up to 8 files and 2 MB), and plt.show() saves each open figure as a PNG.
Returns: output, error, status, exit_code, time, memory, truncated, files, files_truncated. PNG files arrive as MCP image content; SVG, CSV, JSON and text files are listed with their text (cut at 64 KB).
run_testsCheck a program against test cases and judge it like an online judge. At most 10 tests per call, each counting as one run. Every test runs unless the code fails to compile or the request runs out of time.
Parameters:
code (required): Source code to checkcompiler (required): Compiler identifier from list_compilerstests (required): Up to 10 objects, each {"input": "...", "expected_output": "..."}time_limit (optional): Seconds per test, above 0 and at most 30 (default 2); compiling does not count, and Java, Groovy and F# get a start-up allowance on topchecker (optional): trim (default), exact, tokens, float or rows (unordered lines, numbers within tolerance)files (optional): Files shared by every test (input data or helper source files), same shape as in run_codeReturns: an overall verdict, a score from 0 to 100 and a verdict per test.
judge_problemJudge code against one of your stored problems. Hidden tests return only their verdict, never their input or expected output. Nothing is invented: a missing problem or a failed run is an error (for example HTTP 404: Problem not found).
Parameters:
problem (required): The id or slug of one of your stored problemscompiler (required): Compiler identifier from list_compilerscode (required): Source code to judgemode (optional): all (default) runs every test; samples runs only the sample testsReturns: a verdict, a score, a per-test verdict, a summary, a submission id, a signed receipt, and the problem id and version.
In claude.ai or Claude Desktop, open Customize, then Connectors, then Add custom connector. Paste https://api.onlinecompiler.io/mcp, sign in to OnlineCompiler.io when asked and approve. The connector belongs to your Claude account, so it works in the Claude mobile apps too.
Turn on developer mode in ChatGPT's settings, add a custom connector with https://api.onlinecompiler.io/mcp and sign in when asked.
claude mcp add --transport http onlinecompiler https://api.onlinecompiler.io/mcp
Then run /mcp inside Claude Code, pick onlinecompiler and sign in. To use an API key instead:
claude mcp add onlinecompiler https://api.onlinecompiler.io/mcp --transport http --header "Authorization: Bearer YOUR_API_KEY"
Install the extension from this repository:
gemini extensions install https://github.com/onlinecompiler-io/onlinecompiler-mcp
It adds the hosted server at https://api.onlinecompiler.io/mcp and a short context file telling Gemini when to use the tools. Gemini CLI signs you in with OAuth. To use an API key instead, add the server by hand in ~/.gemini/settings.json:
{
"mcpServers": { "onlinecompiler": { "httpUrl": "https://api.onlinecompiler.io/mcp", "headers": { "Authorization": "Bearer your-api-key" } } } }
This repository is also a Claude Code plugin marketplace:
/plugin marketplace add onlinecompiler-io/onlinecompiler-mcp
/plugin install onlinecompiler@onlinecompiler
Then run /mcp, pick onlinecompiler and sign in. The plugin does the same as the claude mcp add command above.
See llms-install.md: add the URL as a remote server with your API key in an Authorization header.
codex mcp add onlinecompiler --url https://api.onlinecompiler.io/mcp
codex mcp login onlinecompiler
To use an API key instead, skip the login and put the key in the environment variable that bearer_token_env_var names, in ~/.codex/config.toml:
[mcp_servers.onlinecompiler]
url = "https://api.onlinecompiler.io/mcp" bearer_token_env_var = "ONLINECOMPILER_API_KEY"
Add to .vscode/mcp.json:
{
"servers": { "onlinecompiler": { "url": "https://api.onlinecompiler.io/mcp", "headers": { "Authorization": "Bearer your-api-key" } } } }
Add to .cursor/mcp.json:
{
"mcpServers": { "onlinecompiler": { "url": "https://api.onlinecompiler.io/mcp", "headers": { "Authorization": "Bearer your-api-key" } } } }