Npm Package Ws Has 241560546 Weekly Downloads But Sdk MCP Server

ws-mcp

WebSocket session management as MCP tools — with per-frame Shannon entropy tracking.

ws has 241,560,546 weekly downloads. There are zero MCP servers that expose WebSocket primitives. This is that server.

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The problem

AI agents cannot interact with live WebSocket streams without custom glue code per integration. There is no standardized way for an LLM to open a persistent connection, send a typed frame, and receive structured events as tool call responses. Debugging message flows requires external tooling (Wireshark, browser devtools) that is incompatible with agentic workflows.

ws-mcp exposes five atomic operations over HTTP: open a session, send a frame, drain buffered frames, inspect telemetry, and close. Each frame — inbound or outbound — is scored with a Shannon entropy delta relative to the session's cumulative message distribution, so an agent can detect when a stream is diverging from its expected schema without any external monitoring.

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Why the entropy delta is not optional

The server maintains a live token-frequency Counter per session_id inside the same process that holds the socket open. For each frame, it computes:

delta = H(t) - H(t-1)

where H(t) is the Shannon entropy of the cumulative distribution after frame t. A delta near zero means the frame is statistically consistent with the session's established message pattern. A large positive delta means the frame introduced new information — schema divergence, anomalous payload, or a new message type.

This requires coupling MCP tool state with a live socket registry and a probabilistic frame classifier in the same process. It cannot be replicated by wrapping ws.send() in a stateless proxy.

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Base URL

https://npm-package-ws-has-241560546-weekly-down.railway.app

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Endpoints

POST /ws-sessions/open

Establishes a persistent WebSocket connection to a target URL and registers it in the stateful session registry. Returns a session_id for all subsequent operations.

Use when an agent needs to initiate a long-lived connection before sending or receiving frames. Do NOT use to reconnect an already-open session — call close_websocket_session first, or use the session_id of an existing session.

Request

{
  "target_url": "wss://stream.example.com/feed",
  "schema_hint": {
    "type": "object",
    "properties": {
      "event": { "type": "string" },
      "price": { "type": "number" }
    }
  },
  "headers": {
    "Authorization": "Bearer YOUR_API_KEY"
  }
}

Response

{
  "session_id": "wss_01hx3kp9v2f4e7b8c6d0",
  "state": "OPEN",
  "target_url": "wss://stream.example.com/feed",
  "opened_at": "2025-01-15T14:23:01.847Z"
}

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POST /ws-sessions/{session_id}/send-frame

Sends a single text or binary frame over an open session. Returns the frame's Shannon entropy delta relative to the session baseline — confirming delivery and quantifying how novel this frame is versus the established message distribution.

Use for request-response patterns or publishing commands to a WebSocket server. Do NOT use to send a sequence of frames in bulk — call this endpoint once per frame to preserve per-frame entropy tracking. Fails if session_id does not exist or the connection is not in OPEN state.

Request

{
  "payload": "{\"action\": \"subscribe\", \"channel\": \"trades\"}",
  "frame_type": "text"
}

Response

{
  "session_id": "wss_01hx3kp9v2f4e7b8c6d0",
  "frame_index": 1,
  "frame_type": "text",
  "bytes_sent": 44,
  "entropy_delta": 0.83,
  "delivered_at": "2025-01-15T14:23:04.112Z"
}

---

POST /ws-sessions/{session_id}/drain-frames

Returns up to max_frames buffered inbound frames received since the last drain (or session open), each annotated with its Shannon entropy delta and schema validation result.

Use to poll for incoming messages without holding a blocking connection. Do NOT use as a real-time streaming mechanism — it returns only frames already buffered. For high-frequency streams, increase poll cadence or reduce max_frames. Returns an empty list if no frames have arrived since the last call.

Request

{
  "max_frames": 10
}

Response

{
  "session_id": "wss_01hx3kp9v2f4e7b8c6d0",
  "frames": [
    {
      "frame_index": 1,
      "frame_type": "text",
      "payload": "{\"event\": \"trade\", \"price\": 42381.50}",
      "received_at": "2025-01-15T14:23:05.203Z",
      "entropy_delta": 0.12,
      "schema_valid": true
    },
    {
      "frame_index": 2,
      "frame_type": "text",
      "payload": "{\"event\": \"liquidation\", \"size\": 180000, \"side\": \"long\"}",
      "received_at": "2025-01-15T14:23:05.891Z",
      "entropy_delta": 1.47,
      "schema_valid": false
    }
  ],
  "drained_count": 2,
  "buffer_remaining": 0
}

The entropy_delta of 1.47 on frame 2 combined with schema_valid: false indicates the stream introduced a message type outside the schema hint — exactly the signal an agent needs to decide whether to escalate or re-negotiate the subscription.

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POST /ws-sessions/{session_id}/telemetry

Returns real-time telemetry for a session: connection state, frame counts (sent/received), cumulative and rolling Shannon entropy statistics, schema violation rate, and uptime.

Use to diagnose whether a stream is diverging from its expected schema or to verify a session is still alive before sending. Do NOT use as the primary liveness check in a tight loop — it performs entropy aggregation on each call; poll at most once per second.

Response

{
  "session_id": "wss_01hx3kp9v2f4e7b8c6d0",
  "state": "OPEN",
  "uptime_seconds": 187.4,
  "frames_sent": 3,
  "frames_received": 214,
  "entropy": {
    "cumulative_H": 3.72,
    "rolling_H_last_20_frames": 2.91,
    "mean_delta": 0.18,
    "max_delta": 1.47,
    "delta_stddev": 0.31
  },
  "schema_violation_rate": 0.014
}

---

POST /ws-sessions/{session_id}/close

Sends a WebSocket close frame with the specified status code, waits for the server close handshake, and removes the session from the registry. Returns a final telemetry snapshot including total frames exchanged and terminal entropy statistics.

Use when a session is no longer needed or before re-opening a connection to the same URL. Do NOT use to temporarily pause a session — the session_id is permanently deallocated after this call and cannot be reused.

Request

{
  "status_code": 1000,
  "reason": "agent task complete"
}

Response

{
  "session_id": "wss_01hx3kp9v2f4e7b8c6d0",
  "state": "CLOSED",
  "closed_at": "2025-01-15T14:26:11.034Z",
  "final_telemetry": {
    "uptime_seconds": 310.2,
    "frames_sent": 3,
    "frames_received": 441,
    "cumulative_H": 4.09,
    "schema_violation_rate": 0.011
  }
}

---

End-to-end example: subscribe to a trade stream, detect schema drift

import httpx
import time

BASE = "https://npm-package-ws-has-241560546-weekly-down.railway.app"

# 1. Open a session
r = httpx.post(f"{BASE}/ws-sessions/open", json={
    "target_url": "wss://stream.example.com/trades",
    "schema_hint": {
        "type": "object",
        "properties": {
            "event": {"type": "string"},
            "price": {"type": "number"}
        },
        "required": ["event", "price"]
    }
})
r.raise_for_status()
session_id = r.json()["session_id"]

# 2. Subscribe to a channel
httpx.post(f"{BASE}/ws-sessions/{session_id}/send-frame", json={
    "payload": '{"action": "subscribe", "channel": "trades"}',
    "frame_type": "text"
}).raise_for_status()

# 3. Poll for frames, alert on entropy spikes
ENTROPY_ALERT_THRESHOLD = 1.0

for _ in range(10):
    time.sleep(1.0)
    drain = httpx.post(f"{BASE}/ws-sessions/{session_id}/drain-frames", json={
        "max_frames": 20
    }).json()

    for frame in drain["frames"]:
        if frame["entropy_delta"] > ENTROPY_ALERT_THRESHOLD or not frame["schema_valid"]:
            print(f"[ALERT] frame {frame['frame_index']}: "
                  f"delta={frame['entropy_delta']:.2f}, "
                  f"schema_valid={frame['schema_valid']}")
            print(f"        payload={frame['payload'][:120]}")

# 4. Inspect session health before deciding to continue
telemetry = httpx.post(f"{BASE}/ws-sessions/{session_id}/telemetry").json()
print(f"violation_rate={telemetry['schema_violation_rate']:.3f}  "
      f"cumulative_H={telemetry['entropy']['cumulative_H']:.2f}")

# 5. Close cleanly
httpx.post(f"{BASE}/ws-sessions/{session_id}/close", json={
    "status_code": 1000,
    "reason": "polling complete"
}).raise_for_status()

---

curl example

# Open a session
curl -X POST https://npm-package-ws-has-241560546-weekly-down.railway.app/ws-sessions/open \
  -H "Content-Type: application/json" \
  -d '{
    "target_url": "wss://stream.example.com/feed"
  }'

# Send a frame (replace SESSION_ID with the value returned above)
curl -X POST https://npm-package-ws-has-241560546-weekly-down.railway.app/ws-sessions/SESSION_ID/send-frame \
  -H "Content-Type: application/json" \
  -d '{
    "payload": "{\"action\": \"ping\"}",
    "frame_type": "text"
  }'

# Drain buffered inbound frames
curl -X POST https://npm-package-ws-has-241560546-weekly-down.railway.app/ws-sessions/SESSION_ID/drain-frames \
  -H "Content-Type: application/json" \
  -d '{"max_frames": 5}'

---

SDK

The Python SDK (Client) ships in this repository. There is no published PyPI package yet. To use it:

git clone https://github.com/your-org/ws-mcp
cd ws-mcp
pip install -r requirements.txt

The Client class accepts an api_key, a base_url, a timeout, and max_retries. It dispatches to five methods via an action key: open_session, send_typed_frame, inspect_session_entropy, subscribe_topic_stream, and close_session. All HTTP errors surface as typed exceptions: AuthenticationError, SessionNotFoundError, WebSocketFrameError, and the base WebSocketSessionError.

Direct HTTP calls to the endpoint above require no SDK — use requests, httpx, or curl as shown.

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Error reference

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Stack

Python 3.11 — FastAPI — websockets (asyncio-native). The session registry and per-session entropy state live in-process; the entropy tracker maintains a token-frequency Counter per session_id that is updated on every frame without blocking the socket loop.

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Pricing

See pricing.md.

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Pricing

No base fee. No storage fee. No minimum commitment. You pay for computation, not for parking vectors you queried once.