Chapel Support for MCP Server

@DanilaFe

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DanilaFe

Chapel Support for MCP Server について

A Model-Context-Protocol (MCP) server for AI Agents to make use of Chapel

#chapel#mcp #ai-assistant

Chapel Support for MCP Server の設定

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このサーバーの README には解析可能な MCP 設定ブロックが含まれていません。インストール手順はリポジトリをご確認ください。

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Chapel Support for MCP Server のツール

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ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。

概要

What is Chapel Support for MCP?

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.

How to use Chapel Support for MCP?

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.

Key features of Chapel Support for MCP

Browse and access Chapel primer examples.
Compile Chapel programs through the API.
Lint Chapel code with chplcheck and auto‑fix.
Automatically detect Chapel installation directory.
List and enable custom linting rules.

Use cases of Chapel Support for MCP

An AI assistant writing Chapel code can compile and check for errors on the fly.
A learner can fetch primer contents to study Chapel’s parallel programming concepts.
A developer can lint an existing Chapel codebase for style and best practices.
Integrate Chapel development into AI‑driven workflows without leaving the chat interface.

よくある質問

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.

How does Chapel Support for MCP find the Chapel installation?

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.

What tools does Chapel Support for MCP offer?

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)`.

How can I use Chapel Support for MCP with an AI assistant?

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.

Can Chapel Support for MCP automatically fix linting issues?

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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