Installable MCP bridge for AdaptOrch
Project description
adaptorch-mcp
Installable Python wrapper for the AdaptOrch MCP server.
The package intentionally delegates runtime behavior to adaptorch.mcp_server, so MCP tools, transports, safety checks, prompts, and optional algorithm controls stay aligned with AdaptOrch core.
Install
pip install adaptorch-mcp
If AdaptOrch is not published to your package index yet:
pip install "adaptorch[api] @ git+https://github.com/dmae97/adaptorch.git"
pip install adaptorch-mcp
One-shot with uvx:
uvx adaptorch-mcp --help
uvx --with "adaptorch[api] @ git+https://github.com/dmae97/adaptorch.git" adaptorch-mcp --help
For contributors inside this monorepo:
uv sync --all-packages --extra dev
uv run adaptorch-mcp --help
Run stdio MCP
Use stdio for Claude Code, Claude Desktop, and other local MCP hosts.
export ADAPTORCH_CONTROL_PLANE_TOKEN="<your-token>"
adaptorch-mcp --transport stdio --base-url https://adaptorch.com
Run HTTP MCP
Use HTTP for local gateways, reverse proxies, or remote MCP clients. Keep the client-facing MCP token separate from the upstream AdaptOrch token.
export ADAPTORCH_CONTROL_PLANE_TOKEN="<upstream-adaptorch-token>"
export ADAPTORCH_MCP_HTTP_AUTH_TOKEN="<client-facing-mcp-token>"
adaptorch-mcp \
--transport http \
--base-url https://adaptorch.com \
--http-host 127.0.0.1 \
--http-port 8765 \
--http-auth-token "$ADAPTORCH_MCP_HTTP_AUTH_TOKEN"
Health check:
python - <<'PY'
import httpx
print(httpx.get('http://127.0.0.1:8765/mcp/health').json())
PY
CLI reference
| Command | Purpose | Important options |
|---|---|---|
adaptorch-mcp |
Start the stdio or HTTP MCP server. | `--transport stdio |
adaptorch-mcp-doctor |
Print redacted local diagnostics. | --json, --strict |
adaptorch-mcp-smoke |
Verify stdio initialize + tools/list. |
--command, --base-url, --api-token, --timeout-seconds, repeatable --expected-tool |
For adaptorch-mcp, the public wrapper resolves the control-plane URL in this order: explicit --base-url, then trimmed/validated ADAPTORCH_CONTROL_PLANE_BASE_URL, then the hosted fallback https://adaptorch.com. adaptorch-mcp-smoke keeps a local-dev fallback of http://127.0.0.1:8000 when no base URL is configured. Pass --base-url explicitly in checked-in MCP client configs for reproducible behavior.
Environment variables
| Variable | Purpose | Notes |
|---|---|---|
ADAPTORCH_CONTROL_PLANE_TOKEN |
Upstream AdaptOrch token. | Required unless --api-token is passed. |
ADAPTORCH_CONTROL_PLANE_BASE_URL |
Base URL used when --base-url is omitted. |
Trimmed and validated as HTTP(S); do not embed credentials. |
ADAPTORCH_MCP_HTTP_AUTH_TOKEN |
Client-facing bearer token for HTTP/SSE MCP. | Keep separate from the upstream token. |
ADAPTORCH_MCP_ALLOWED_ORIGINS |
Comma-separated HTTP origin allowlist. | Use with browser or remote HTTP clients. |
ADAPTORCH_MCP_MAX_PAYLOAD_SIZE_BYTES |
Maximum accepted HTTP request body size. | Keep bounded for public deployments. |
ADAPTORCH_MCP_REQUEST_TIMEOUT_SECONDS |
HTTP request timeout budget. | Applies to HTTP server request handling. |
ADAPTORCH_MCP_MAX_SSE_SUBSCRIBERS |
Maximum concurrent SSE subscribers. | Defaults are provided by adaptorch.mcp_server. |
ADAPTORCH_MCP_TIMEOUT_SECONDS |
Control-plane client timeout for app-factory usage. | Useful when embedding the ASGI app. |
ADAPTORCH_MCP_HTTP_HOST / ADAPTORCH_MCP_HTTP_PORT |
Shell/template values for --http-host and --http-port. |
CLI flags are authoritative. |
ADAPTORCH_REPRODUCIBLE |
Benchmark/eval reproducibility beta. | Benchmark/eval scope only; not general runtime determinism. |
ADAPTORCH_ROUTER_ACCURACY_GATE |
Online-router learned-model gate. | point default or wilson; advanced/operator use. |
ADAPTORCH_PAPER_SEMANTIC_WEIGHT |
Paper-mode lexical/semantic blend. | Default 0.35; nonzero values use Python scoring over the native fast path. |
Engine-delegated optional controls
The wrapper forwards these controls to the installed adaptorch engine; it does
not implement routing, synthesis, or benchmark algorithms itself. See the root
configuration guide for non-env controls such as manifest_canonical_sha256,
pass_rate_credit, quality_signal, prefer_multi_model_ensemble_singleton,
and MCP prefer_ensemble_singleton.
Tool surface
| Tool | Purpose |
|---|---|
adaptorch_run |
Submit an AdaptOrch task payload and optionally wait. |
adaptorch_get_run |
Read run summary by run_id. |
adaptorch_get_artifacts |
Read artifact metadata for a run. |
adaptorch_list_runs |
List recent runs. |
adaptorch_get_traces |
Read execution traces. |
adaptorch_cancel_run |
Request run cancellation (write/destructive; keep manually approved). |
adaptorch_route_topology |
Locally route a DAG through AdaptOrch's topology router. |
adaptorch_server_metrics |
Read redacted MCP server metrics. |
adaptorch_capabilities |
Read synthesis modes, connectors, and server features. |
adaptorch_plan_catalog |
Read hosted plan catalog: Starter $0, Pro $39, Team $149. |
Diagnostics and smoke tests
adaptorch-mcp-doctor
adaptorch-mcp-doctor --json
adaptorch-mcp-doctor --strict
The doctor command reports package availability, expected MCP tools, redacted environment metadata, and controlPlane base-url resolution details without printing token values.
export ADAPTORCH_CONTROL_PLANE_TOKEN="<your-token>"
adaptorch-mcp-smoke --base-url https://adaptorch.com
Expected JSON includes "ok": true, adaptorch_plan_catalog, and the expected core tool subset. If no base URL is supplied, smoke targets http://127.0.0.1:8000 for local development. Add repeatable --expected-tool <name> flags when validating a specific hosted/core release.
Example configs
../../examples/claude_desktop_config.json../../examples/omk.mcp.json../../examples/mcp-http.env.example
Checked-in examples use placeholders or environment interpolation. Fill real URLs and tokens only in local, uncommitted config files. For shared or production clients, avoid auto-approving run, artifact, and trace readers unless those payloads are already sanitized.
HTTP app factory
create_default_mcp_http_app() embeds the canonical AdaptOrch MCP HTTP ASGI app. It requires an upstream control-plane token in the environment.
export ADAPTORCH_CONTROL_PLANE_TOKEN="<upstream-adaptorch-token>"
export ADAPTORCH_CONTROL_PLANE_BASE_URL="https://adaptorch.com"
export ADAPTORCH_MCP_HTTP_AUTH_TOKEN="<client-facing-mcp-token>"
from adaptorch_mcp import create_default_mcp_http_app
app = create_default_mcp_http_app()
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