About mort-mcp
mort-mcp is an MCP server for developers and agents working with Mort, a statically typed systems language that compiles to C. It offers type checking, execution, documentation search, and standard-library lookup using information from the installed compiler.
Key features
- 01Type-check source and pinpoint diagnostics
- 02Compile and run programs
- 03Show generated C output
- 04Format code with the official formatter
- 05Search language docs and standard-library signatures
Use cases
- 01Check newly written Mort code
- 02Run a program and inspect output and exit code
- 03Look up language specifications or standard-library APIs
MCP support
As an MCP server, it gives agents tools for checking, running, formatting, and looking up Mort code. The tools call mortc through its command-line interface and use docs and standard-library data from the installed compiler.
Configuration
Local server config is the same for every client. Copy it into your client’s MCP config file.
uvx mort-mcpMORT_HOMEPath to a checkout of github.com/0xmortuex/Mort (enables docs and examples)Local servers need a runtime on your machine (e.g. Node.js 18+). Config file locations differ by client; see your client’s docs.
Tools
8Saved tool list · updated 3w ago
This tool takes no parameters.
Details
From the project READMEmort-mcp
Let an AI agent write a language it has never seen.
Mort is a statically typed systems language that compiles to C. It's the language MORT OS is written in. No model has Mort in its training data, so an agent asked to write it will guess Rust-like syntax and get it wrong.
mort-mcp gives the agent what a human newcomer would use: a fast type checker with precise errors, a way to run programs, the language spec to search, and the exact signatures of the standard library.
> mort_check
FAILED:
error: <source>:4:1: argument 1 of 'strings.starts_with' expects []const u8, got *u8
if strings.starts_with("mortos", "mort") {
> mort_std strings
// First byte offset of `needle` in `text`, or None if it does not occur.
pub fn index_of(text: []const u8, needle: []const u8) -> Option<u64>;
...
> mort_run
[exit 0]
1
Install
You need the Mort compiler. The simplest setup is a checkout, which also brings the docs and examples:
git clone https://github.com/0xmortuex/Mort
pip install mort-mcp ziglang # ziglang = zero-install C backend for mort_run
claude mcp add mort --env MORT_HOME=/path/to/Mort -- mort-mcp
Without MORT_HOME, mort-mcp uses a mortc on your PATH
(pip install git+https://github.com/0xmortuex/Mort). Checking, running and std
lookup all work that way. mort_docs and mort_examples need the checkout.
Tools
| Tool | What it does |
|---|---|
mort_check | Type-check source text or files without building. Fast, and needs no C compiler. Returns diagnostics as file:line:col with the source line. |
mort_run | Compile and run, with stdin, args and a timeout. Reports output and exit code. |
mort_emit_c | Show the generated C. freestanding=True shows the kernel-mode output. |
mort_format | Format with the official formatter (mortc fmt). |
mort_std | List std modules, or show one module's public API: exact signatures, struct fields and doc comments. |
mort_docs | Search the language specification and reference docs, e.g. "resource struct cleanup" or "integer overflow". |
mort_examples | List or read the compiler's example programs. |
mort_version | Compiler and language version, and where the compiler was found. |
Every tool calls mortc through its command-line interface, and reads std signatures
and docs from the installed compiler. Answers therefore match the version you're
running, even as the language changes.
Tests
pip install ".[test]" "ruff==0.16.0" "mypy==2.3.0" ziglang
ruff check src tests && mypy --strict src
MORT_HOME=/path/to/Mort pytest tests
Without MORT_HOME, only the unit tests and the MCP handshake test run. CI checks
out the latest Mort and also runs every night, so a change to the compiler's CLI or
docs layout shows up as a failing build.
License
MIT
Comments
New to MCP?
From what the protocol is to installing your first server, these answers cover most first questions.
An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.