progress

MainContext.md

@@ -28,6 +28,8 @@ Is a local GUI tool for manually curating and sending context to AI APIs. It agg
 - `theme.py` - palette definitions, font loading, scale, load_from_config/save_to_config
 - `gemini.py` - legacy standalone Gemini wrapper (not used by the main GUI; superseded by `ai_client.py`)
 - `file_cache.py` - stub; Anthropic Files API path removed; kept so stale imports don't break
+- `mcp_client.py` - MCP-style read-only file tools (read_file, list_directory, search_files, get_file_summary); allowlist enforced against project file_items + base_dirs; dispatched by ai_client tool-use loop for both Anthropic and Gemini
+- `summarize.py` - local heuristic summariser (no AI); .py via AST, .toml via regex, .md headings, generic preview; used by mcp_client.get_file_summary and aggregate.build_summary_section
 - `config.toml` - global-only settings: [ai] provider+model, [theme] palette+font+scale, [projects] paths array + active path
 - `manual_slop.toml` - per-project file: [project] name+git_dir, [output] namespace+output_dir, [files] base_dir+paths, [screenshots] base_dir+paths, [discussion] roles+active+[discussion.discussions.<name>] git_commit+last_updated+history
 - `credentials.toml` - gemini api_key, anthropic api_key
@@ -179,6 +181,19 @@ Entry layout: index + timestamp + direction + kind + provider/model header row,
 - `_classify_anthropic_error` and `_classify_gemini_error` inspect exception types and status codes/message bodies to assign the kind
 - `ui_message()` returns a human-readable label for display in the Response panel
 
+**MCP file tools (mcp_client.py + ai_client.py):**
+- Four read-only tools exposed to the AI as native function/tool declarations: `read_file`, `list_directory`, `search_files`, `get_file_summary`
+- Access control: `mcp_client.configure(file_items, extra_base_dirs)` is called before each send; builds an allowlist of resolved absolute paths from the project's `file_items` plus the `base_dir`; any path that is not explicitly in the list or not under one of the allowed directories returns `ACCESS DENIED`
+- `mcp_client.dispatch(tool_name, tool_input)` is the single dispatch entry point used by both Anthropic and Gemini tool-use loops
+- Anthropic: MCP tools appear before `run_powershell` in the tools list (no `cache_control` on them; only `run_powershell` carries `cache_control: ephemeral`)
+- Gemini: MCP tools are included in the `FunctionDeclaration` list alongside `run_powershell`
+- `get_file_summary` uses `summarize.summarise_file()` — same heuristic used for the initial `<context>` block, so the AI gets the same compact structural view it already knows
+- `list_directory` sorts dirs before files; shows name, type, and size
+- `search_files` uses `Path.glob()` with the caller-supplied pattern (supports `**/*.py` style)
+- `read_file` returns raw UTF-8 text; errors (not found, access denied, decode error) are returned as error strings rather than exceptions, so the AI sees them as tool results
+- `summarize.py` heuristics: `.py` → AST imports + ALL_CAPS constants + classes+methods + top-level functions; `.toml` → table headers + top-level keys; `.md` → h1–h3 headings with indentation; all others → line count + first 8 lines preview
+- Comms log: MCP tool calls log `OUT/tool_call` with `{"name": ..., "args": {...}}` and `IN/tool_result` with `{"name": ..., "output": ...}`; rendered in the Comms History panel via `_render_payload_tool_call` (shows each arg key/value) and `_render_payload_tool_result` (shows output)
+
 **Known extension points:**
 - Add more providers by adding a section to `credentials.toml`, a `_list_*` and `_send_*` function in `ai_client.py`, and the provider name to the `PROVIDERS` list in `gui.py`
 - System prompt support could be added as a field in the project `.toml` and passed in `ai_client.send()`