docs(conductor): Synchronize docs for track 'External MCP Server Support'

This commit is contained in:
2026-03-12 16:22:58 -04:00
parent 95800ad88b
commit e5a86835e2
2 changed files with 10 additions and 0 deletions

View File

@@ -45,6 +45,12 @@ For deep implementation details when planning or implementing tracks, consult `d
- **Parallel Multi-Agent Execution:** Executes multiple AI workers in parallel using a non-blocking execution engine and a dedicated `WorkerPool`. Features configurable concurrency limits (defaulting to 4) to optimize resource usage and prevent API rate limiting.
- **Parallel Tool Execution:** Executes independent tool calls (e.g., parallel file reads) concurrently within a single agent turn using an asynchronous execution engine, significantly reducing end-to-end latency.
- **Automated Tier 4 QA:** Integrates real-time error interception in the shell runner, automatically forwarding technical failures to cheap sub-agents for 20-word diagnostic summaries injected back into the worker history.
- **External MCP Server Support:** Adds support for integrating external Model Context Protocol (MCP) servers, expanding the agent's toolset with the broader MCP ecosystem.
- **Multi-Server Lifecycle Management:** Orchestrates multiple concurrent MCP server sessions (Stdio for local subprocesses and SSE for remote servers).
- **Flexible Configuration:** Supports global (`config.toml`) and project-specific (`manual_slop.toml`) paths for `mcp_config.json` (standard MCP configuration format).
- **Auto-Start & Discovery:** Automatically initializes configured servers on project load and dynamically aggregates their tools into the agent's capability declarations.
- **Dedicated Operations UI:** Features a new **External Tools** section within the Operations Hub for monitoring server status (idle, starting, running, error) and browsing discovered tool schemas.
- **Strict HITL Safety:** All external tool calls are intercepted and require explicit human-in-the-loop approval via the standard confirmation dialog before execution.
- **High-Fidelity Selectable UI:** Most read-only labels and logs across the interface (including discussion history, comms payloads, tool outputs, and telemetry metrics) are now implemented as selectable text fields. This enables standard OS-level text selection and copying (Ctrl+C) while maintaining a high-density, non-editable aesthetic.
- **High-Fidelity UI Rendering:** Employs advanced 3x font oversampling and sub-pixel positioning to ensure crisp, high-clarity text rendering across all resolutions, enhancing readability for dense logs and complex code fragments.
- **Enhanced MMA Observability:** Worker streams and ticket previews now support direct text selection, allowing for easy extraction of specific logs or reasoning fragments during parallel execution.

View File

@@ -40,6 +40,10 @@
- **src/tool_presets.py:** Extends `ToolPresetManager` to handle nested `Tool` models, weights, and global `BiasProfile` persistence within `tool_presets.toml`.
- **src/mcp_client.py (External Extension):** Implements the `ExternalMCPManager` for orchestrating third-party Model Context Protocol servers.
- **StdioMCPServer:** Manages local MCP servers via asynchronous subprocess pipes (stdin/stdout/stderr).
- **RemoteMCPServer (SSE):** Provides a foundation for remote MCP integration via Server-Sent Events.
- **JSON-RPC 2.0 Engine:** Handles asynchronous message routing, request/response matching, and error handling for all external MCP communication.
- **tree-sitter / AST Parsing:** For deterministic AST parsing and automated generation of curated "Skeleton Views" and "Targeted Views" (extracting specific functions and their dependencies). Features an integrated AST cache with mtime-based invalidation to minimize re-parsing overhead.
- **pydantic / dataclasses:** For defining strict state schemas (Tracks, Tickets) used in linear orchestration.