Code Context Provider MCP

Code Context Provider MCP

The Code Context Provider MCP fills a critical gap for AI assistants that need to reason about the structure and contents of real codebases. Traditional language models can generate or modify code, but they lack a reliable way to introspect the files and symbols that exist in a project. This server supplies an API that extracts a hierarchical view of a directory and, optionally, parses JavaScript/TypeScript and Python files to expose functions, variables, classes, imports, and exports. By doing so, it turns raw file trees into rich, machine‑readable metadata that AI assistants can consume in real time.

Developers benefit immediately when building tooling around code generation, refactoring suggestions, or documentation assistants. The server can be invoked from any MCP‑compatible client—Claude Desktop, Claude API, or other AI platforms—to provide a “snapshot” of the current workspace. This snapshot enables an assistant to answer questions like “Which functions are exported from ?” or “What variables are defined in the top‑level module of this repository?” without requiring the model to guess or parse files manually. The result is faster, more accurate interactions and a smoother developer experience.

Key capabilities of the provider include:

• Directory tree generation – Recursively lists folders and files up to a configurable depth, giving assistants an overview of project layout.
• Language‑aware parsing – Uses WebAssembly‑based Tree‑sitter parsers to analyze JavaScript/TypeScript and Python code without native dependencies, ensuring portability across operating systems.
• Symbol extraction – Returns precise locations of functions, variables, classes, imports, and exports, filtered to exclude anonymous functions for clarity.
• Flexible filtering – Supports custom file patterns, depth limits, and symbol type selection so that only relevant data is transmitted.

Typical use cases span automated code reviews, where an assistant can quickly locate all functions that need updating; on‑the‑fly documentation generation, which pulls function signatures and comments; or IDE extensions that provide context‑aware autocomplete by querying the server for symbol definitions. Because the MCP protocol is stateless and lightweight, these operations can be performed on demand without maintaining a persistent process.

The server’s design gives it an edge over ad‑hoc solutions: it is zero‑native‑dependency, cross‑platform, and fully compliant with MCP, meaning any tool that speaks the protocol can tap into its functionality. Whether you’re building a CI/CD pipeline, an AI‑powered IDE helper, or a code search assistant, the Code Context Provider MCP offers a dependable foundation for turning raw source files into actionable intelligence.