What are the prerequisites to use Chapel Support for MCP?
Python 3.13 or higher and a working Chapel installation are required. For linting, `chplcheck` (shipped with Chapel) is optional.
@DanilaFe
Basic information
A Model-Context-Protocol (MCP) server for AI Agents to make use of Chapel
No standard config provided
This server doesn't expose a parseable MCP config block in its README. See the repository for install instructions.
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A Model‑Context‑Protocol (MCP) server for the Chapel programming language that provides tools for compiling, linting, and accessing educational primers, designed to integrate Chapel functionality with AI assistants and other tools.
Install with UV, set the CHPL_HOME environment variable (or use a .env file or auto‑detection if chpl is in PATH), then run uv run chapel-support.py to start the server. Configure AI assistants to connect to it using a client configuration that points to the uv command and the server script.
Python 3.13 or higher and a working Chapel installation are required. For linting, `chplcheck` (shipped with Chapel) is optional.
It searches `CHPL_HOME` environment variable, then a `.env` file in the project root, then runs `chpl --print-chpl-home` if the compiler is in PATH.
It provides five tools: `list_primers()`, `get_primer(path)`, `compile_program(program_text, program_name)`, `list_chapel_lint_rules()`, and `lint_chapel_code(program_text, program_name, fix, custom_rules)`.
Configure the assistant to connect to the server using a client JSON object that specifies `uv run --directory <path> chapel-support.py` as the command.
Yes. When `fix=True` is passed to `lint_chapel_code()`, the server applies automatic fixes from `chplcheck` and returns the corrected code.
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