Files
peltier.io/agent/hotpath_agent/mcp_server.py
T
Claude 23ab522445 agent: propose_patch ergonomics from the phase2-comrak-004 audit
- Standalone-proposal semantics: workspace resets to pristine before
  every apply, so probe patches can't accumulate into a tested tree the
  ledger's patch field doesn't describe.
- Friendly errors: explicit trailing-newline check, and git apply's
  stderr relayed on refusal instead of a generic message.
- Tool docs + task prompt updated to match.
- phase2-comrak-004 audited: honest rejected-bench (median 1.0124,
  CI [1.0011, 1.0267] — real but under the 2% bar), Mutex pre-flagged
  for human review, cumulative-probe state disclosed in the hypothesis.

Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01EcKPWQ3MQD4NdEHwar96u2
2026-07-10 05:32:08 +00:00

79 lines
2.9 KiB
Python

"""Standalone MCP stdio server exposing the six harness tools (SPEC §3.5).
Spawned as a subprocess by the agent loop; speaks MCP over stdio. Wraps
the harnessd IPC client — the trust-layer allowlist and gates remain the
hard boundary. Run standalone for debugging:
HOTPATH_REPO_ROOT=/path/to/repo python -m hotpath_agent.mcp_server
"""
from __future__ import annotations
import os
from mcp.server.fastmcp import FastMCP
from . import tools as harness
REPO_ROOT = os.environ.get("HOTPATH_REPO_ROOT", ".")
harness.connect(REPO_ROOT)
mcp = FastMCP("harness")
@mcp.tool()
def read_profile(target: str) -> str:
"""Latest profile for a target: ranked hotspots with % of instructions."""
return str(harness.read_profile(target))
@mcp.tool()
def read_ledger(target: str) -> str:
"""Prior attempts against a target. Never re-attempt a playbook class listed here."""
return str(harness.read_ledger(target))
@mcp.tool()
def read_playbook(class_number: int) -> str:
"""Optimization playbook class 1-7: preconditions, procedure, verification, failure modes."""
return harness.read_playbook(class_number)
@mcp.tool()
def read_target_source(target: str, path: str, offset: int = 0, limit: int = 400) -> str:
"""Read one file from the target workspace (path relative to the workspace root),
as a line window: `offset` (0-based first line) and `limit` (max lines). Large
files (100KB+) MUST be read in windows — the response is truncated otherwise.
Returns numbered lines plus total_lines/returned_lines/truncated metadata."""
return str(harness.read_target_source(target, path, offset, limit))
@mcp.tool()
def propose_patch(target: str, diff: str, hypothesis: str) -> str:
"""Submit a unified git diff (a/ b/ prefixes, paths relative to the target
workspace, MUST end with a trailing newline) plus the hypothesis it tests.
Each proposal is STANDALONE: the workspace is reset to pristine before the
diff is applied, so always submit the complete patch — never an increment
on top of an earlier proposal. The harness applies it only after a
path-allowlist check. Returns a patch_id, or an error string if refused."""
return harness.propose_patch(target, diff, hypothesis)
@mcp.tool()
def run_verdict(patch_id: str, run_id: str, playbook_class: int, hotspot: str) -> str:
"""Launch the gate+bench pipeline on a proposed patch (runs detached, several
minutes) and return immediately. Poll read_verdict with the same run_id for the
result; the ledger row is written when the pipeline finishes."""
return str(harness.run_verdict(patch_id, run_id, playbook_class, hotspot))
@mcp.tool()
def read_verdict(run_id: str) -> str:
"""Poll for a completed verdict by run_id. Returns the verdict and speedup CI once
the ledger row is written, or a 'running' status while the pipeline is still going."""
return str(harness.read_verdict(run_id))
if __name__ == "__main__":
mcp.run()