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authorClaude <noreply@anthropic.com>2026-05-24 09:38:06 +0000
committerClaude <noreply@anthropic.com>2026-05-24 09:38:06 +0000
commit54f6631c28a8b85f6f874e17822549faba916a38 (patch)
treebfd2a45e77cdbe60ca95362caf90721da6c8ea22 /internal/api/deployment.go
parentc7d95f3992d24f86ff71e5f3e18260a8ef8a09f0 (diff)
feat(executor): per-task agent MCP server + token registry (Phase 2)
Adds the agent-facing MCP transport foundation: a Registry that mints a per-task bearer token bound to a freshly built MCP server exposing the four agent tools (ask_user, report_summary, spawn_subtask, record_progress), and an HTTP handler (StreamableHTTP) that resolves the token to that server. The server never trusts an agent-supplied task ID — context comes from the token. The default storeChannel now buffers summary and question signals under a mutex (an MCP tool call lands on an HTTP-handler goroutine mid-run), exposing ReportedSummary/PendingQuestion. The pool flushes the buffered summary onto the execution after the run, replacing the runner's direct exec.Summary write and keeping the read race-free. ask_user follows the record-and-resume model: it buffers the question, returns ErrAgentBlocked, and the tool tells the agent to end its turn; the run blocks and resumes later via claude --resume (no live slot held). Tests cover registry lifecycle, in-memory tool dispatch, and HTTP end-to-end with bearer auth (valid token dispatches; invalid token rejected). Not yet wired into the runners or mounted on the API server — next increment. https://claude.ai/code/session_01SESwn7kQ7oP62trWw6pc39
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