a527f6224f
Adds a new MCP tool that exposes scripts/aggregate_directives.py as an LLM-callable endpoint. The tool reads a presets markdown file, resolves each directive's v1.md, and returns the concatenated clean directive bodies. metadata (meta.md) is never read. Tool contract: name: aggregate_directives params: preset_path (string, default current_baseline.md), max_chars (int, default 0) result: text content (clean bodies) or 'ERROR: ...' string on failure Dispatch runs the impl in asyncio.to_thread so the 66+ v1.md reads do not block the MCP stdio loop. Errors from aggregate_directives are caught and formatted as 'ERROR: aggregate_directives(<path>) failed: <type>: <msg>' so the LLM can read the failure mode inline. Tool count: 45 (MCP_TOOL_SPECS) + 2 (run_powershell, aggregate_directives) = 47. Added scripts/ to sys.path so 'from aggregate_directives import ...' works inside the MCP server process; idempotent with existing project_root and src path inserts.
184 lines
6.7 KiB
Python
184 lines
6.7 KiB
Python
"""
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MCP server exposing Manual Slop's custom tools (mcp_client.py) to Claude Code.
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All 45 tools from mcp_client.MCP_TOOL_SPECS are served, plus run_powershell
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and aggregate_directives (47 total). Delegates to mcp_client.dispatch() for
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all tools except run_powershell (which routes through shell_runner directly)
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and aggregate_directives (which routes through scripts/aggregate_directives.py).
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Usage (in .claude/settings.json mcpServers):
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"command": "uv", "args": ["run", "python", "scripts/mcp_server.py"]
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# 2026-07-02: added aggregate_directives tool (Tier 1 directive hotswap harness expansion).
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"""
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import asyncio
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import os
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import sys
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# Add project root and src/ to sys.path
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project_root = os.path.abspath(os.path.join(os.path.dirname(__file__), ".."))
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sys.path.insert(0, project_root)
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sys.path.insert(0, os.path.join(project_root, "src"))
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sys.path.insert(0, os.path.dirname(os.path.abspath(__file__)))
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import mcp_client
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import mcp_tool_specs
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import shell_runner
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from aggregate_directives import aggregate_directives as _do_aggregate
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from mcp.server import Server
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from mcp.server.stdio import stdio_server
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from mcp.types import Tool, TextContent
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# run_powershell is handled by shell_runner, not mcp_client.dispatch()
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# Define its spec here since it's not in MCP_TOOL_SPECS
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RUN_POWERSHELL_SPEC = {
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"name": "run_powershell",
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"description": (
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"Run a PowerShell script within the project base directory. "
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"Returns combined stdout, stderr, and exit code. "
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"60-second timeout. Use for builds, tests, and system commands."
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),
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"parameters": {
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"type": "object",
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"properties": {
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"script": {
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"type": "string",
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"description": "PowerShell script content to execute."
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}
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},
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"required": ["script"]
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}
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}
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# aggregate_directives is handled by scripts/aggregate_directives.py, not
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# mcp_client.dispatch(). Define its spec here since it is not in MCP_TOOL_SPECS.
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AGGREGATE_DIRECTIVES_SPEC = {
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"name": "aggregate_directives",
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"description": (
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"Read a presets markdown file (e.g., conductor/directives/presets/current_baseline.md), "
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"resolve each directive path to its v1.md file, and return the concatenated clean "
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"directive bodies as a single text response. The metadata files (meta.md) are "
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"NEVER read - only the v1.md bodies are emitted.\n\n"
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"Useful when:\n"
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"- Session context was reset and the LLM needs to rehydrate the directives\n"
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"- The user said 'warm with: <preset>' and you need the actual text to read\n"
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"- A preset was just changed and you want to inspect what the agent sees\n\n"
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"For most sessions you should NOT call this - the warm-with: bootstrap "
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"already instructs the LLM to read the preset's v1.md files directly."
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),
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"parameters": {
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"type": "object",
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"properties": {
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"preset_path": {
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"type": "string",
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"description": "Path to the presets markdown file, relative to the project root or absolute. Defaults to 'conductor/directives/presets/current_baseline.md'."
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},
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"max_chars": {
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"type": "integer",
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"description": "Optional cap on total response size (chars). 0 or null = no cap. Useful for huge presets."
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}
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},
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"required": []
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}
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}
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def _aggregate_directives_impl(preset_path: str, max_chars: int = 0) -> str:
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"""
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Synchronous implementation backing the aggregate_directives MCP tool.
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Resolves preset_path against the script's project_root and delegates to
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scripts/aggregate_directives.py:aggregate_directives. Any exception is
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converted to a single ERROR:... string so the LLM can read it inline.
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"""
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root = os.path.abspath(os.path.join(os.path.dirname(__file__), ".."))
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try:
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return _do_aggregate(preset_path, max_chars=max_chars, project_root=root)
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except Exception as e:
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return "ERROR: aggregate_directives(" + str(preset_path) + ") failed: " + type(e).__name__ + ": " + str(e)
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server = Server("manual-slop-tools")
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@server.list_tools()
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async def list_tools() -> list[Tool]:
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tools = []
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for spec in [t.to_dict() for t in mcp_tool_specs.get_tool_schemas()]:
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tools.append(Tool(
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name=spec["name"],
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description=spec["description"],
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inputSchema=spec["parameters"],
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))
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# Add run_powershell
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tools.append(Tool(
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name=RUN_POWERSHELL_SPEC["name"],
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description=RUN_POWERSHELL_SPEC["description"],
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inputSchema=RUN_POWERSHELL_SPEC["parameters"],
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))
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# Add aggregate_directives
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tools.append(Tool(
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name=AGGREGATE_DIRECTIVES_SPEC["name"],
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description=AGGREGATE_DIRECTIVES_SPEC["description"],
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inputSchema=AGGREGATE_DIRECTIVES_SPEC["parameters"],
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))
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return tools
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@server.call_tool()
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async def call_tool(name: str, arguments: dict) -> list[TextContent]:
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try:
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if name == "run_powershell":
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script = arguments.get("script", "")
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# run_powershell is synchronous, so we run it in a thread to avoid blocking the loop
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result = await asyncio.to_thread(shell_runner.run_powershell, script, os.getcwd())
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elif name == "aggregate_directives":
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preset_path = arguments.get("preset_path") or "conductor/directives/presets/current_baseline.md"
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max_chars = int(arguments.get("max_chars") or 0)
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# aggregate_directives is synchronous and may read 66+ files; offload to a thread
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result = await asyncio.to_thread(_aggregate_directives_impl, preset_path, max_chars)
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else:
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result = await mcp_client.async_dispatch(name, arguments)
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return [TextContent(type="text", text=str(result))]
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except Exception as e:
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return [TextContent(type="text", text=f"ERROR: {e}")]
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async def main() -> None:
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# Robust context detection: project_root is os.getcwd() (the directory
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# the user is actually working in), not just where the script lives.
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# The script's own home is a secondary fallback. This handles the case
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# where opencode launches the MCP from a sibling clone (e.g., main repo
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# launches the tier2 clone's MCP via a hardcoded path in opencode.json)
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# — the MCP should allow access to the user's working directory too.
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cwd = os.getcwd()
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script_root = os.path.abspath(os.path.join(os.path.dirname(__file__), ".."))
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extra_dirs: list[str] = []
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for d in (cwd, script_root):
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if d and d not in extra_dirs:
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extra_dirs.append(d)
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# Read mcp_paths.toml from cwd first (the user's working dir takes
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# precedence), then fall back to the script's home dir.
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for mcp_paths_toml in (os.path.join(cwd, "mcp_paths.toml"),
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os.path.join(script_root, "mcp_paths.toml")):
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if os.path.exists(mcp_paths_toml):
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import tomllib
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with open(mcp_paths_toml, "rb") as f:
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config = tomllib.load(f)
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allowed = config.get("allowed_paths", {}).get("extra_dirs", [])
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for p in allowed:
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if p not in extra_dirs:
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extra_dirs.append(p)
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break
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mcp_client.configure([], extra_base_dirs=extra_dirs)
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async with stdio_server() as (read_stream, write_stream):
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await server.run(
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read_stream,
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write_stream,
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server.create_initialization_options(),
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)
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if __name__ == "__main__":
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asyncio.run(main())
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