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find_files_by_chunk_content

Locate files in a project containing specific text chunks within logical code segments. Use this tool to streamline codebase searches and identify relevant files for detailed analysis.

Instructions

Step 1: Find files containing chunks with matching text.

Returns file tree only showing which files contain matches. You must use find_matching_chunks_in_file on each relevant file to see the actual matches. Example workflow: 1. Find files: files = find_files_by_chunk_content(project, ["MyClass"]) 2. For each file, find actual matches: matches = find_matching_chunks_in_file(file, ["MyClass"]) 3. Get content: content = chunk_details(file, match_id)

Input Schema

NameRequiredDescriptionDefault
chunk_contents_filterYesMatch if any of these strings appear. Match all if None/null. Single empty string or empty list will match all.
project_nameYes

Input Schema (JSON Schema)

{ "properties": { "chunk_contents_filter": { "anyOf": [ { "type": "string" }, { "items": { "type": "string" }, "type": "array" }, { "type": "null" } ], "description": "Match if any of these strings appear. Match all if None/null. Single empty string or empty list will match all.", "title": "Chunk Contents Filter" }, "project_name": { "title": "Project Name", "type": "string" } }, "required": [ "project_name", "chunk_contents_filter" ], "title": "find_files_by_chunk_contentArguments", "type": "object" }

Implementation Reference

  • The handler function decorated with @mcp.tool(), which registers the tool and executes the logic by filtering files based on chunk content matches using the helper function.
    @mcp.tool() @log_inputs_outputs() def find_files_by_chunk_content( project_name: str, chunk_contents_filter: FilterType, ) -> ToolResponse: """Step 1: Find files containing chunks with matching text. Returns file tree only showing which files contain matches. You must use find_matching_chunks_in_file on each relevant file to see the actual matches. Example workflow: 1. Find files: files = find_files_by_chunk_content(project, ["MyClass"]) 2. For each file, find actual matches: matches = find_matching_chunks_in_file(file, ["MyClass"]) 3. Get content: content = chunk_details(file, match_id) """ return _filter_files_by_chunk(project_name, chunk_contents_filter, "name_or_content").render()
  • Helper function implementing the core filtering logic: iterates over project files, checks if any chunk matches the filter on name or content, collects matching file paths, and generates a file tree.
    def _filter_files_by_chunk( project_name: str, filter_: FilterType, filter_on: Literal["name", "name_or_content"], ) -> MCPToolOutput: project = _get_project_or_error(project_name) matching_files: set[pathlib.Path] = set() for file in project.chunk_project.files: if any(c.matches_filter(filter_, filter_on) for c in file.chunks): matching_files.add(file.abs_path) data = create_file_tree(project_root=project.root, paths=matching_files) if data is None: return MCPToolOutput(text="No files found") elif isinstance(data, str): return MCPToolOutput(text=data) else: assert_never(data)
  • Pydantic schema type for the chunk_contents_filter parameter, defining the input validation and description.
    FilterType = Annotated[ str | list[str] | None, Field( description=( "Match if any of these strings appear. Match all if None/null. " "Single empty string or empty list will match all." ), ), ]

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