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38 lines
1.8 KiB
38 lines
1.8 KiB
import json, sys, urllib.request
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sys.stdout.reconfigure(encoding='utf-8')
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URL = "http://127.0.0.1:8000/mcp"
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HEADERS = {"Content-Type": "application/json", "Accept": "application/json, text/event-stream"}
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def post(body, session=None, timeout=120):
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h = dict(HEADERS)
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if session:
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h["mcp-session-id"] = session
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req = urllib.request.Request(URL, data=json.dumps(body).encode(), headers=h, method="POST")
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resp = urllib.request.urlopen(req, timeout=timeout)
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sid = resp.headers.get("mcp-session-id", session)
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result = None
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for raw in resp:
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line = raw.decode("utf-8", "replace").strip()
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if not line or line.startswith(":"):
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continue
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if line.startswith("data:"):
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try:
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d = json.loads(line[5:].strip())
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except Exception:
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continue
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if isinstance(d, dict) and ("result" in d or "error" in d):
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result = d
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break
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return sid, result
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sid, _ = post({"jsonrpc": "2.0", "id": 1, "method": "initialize",
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"params": {"protocolVersion": "2024-11-05", "capabilities": {},
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"clientInfo": {"name": "pi", "version": "1.0"}}}, timeout=30)
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h = dict(HEADERS); h["mcp-session-id"] = sid
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urllib.request.urlopen(urllib.request.Request(URL, data=json.dumps({"jsonrpc": "2.0", "method": "notifications/initialized"}).encode(), headers=h, method="POST"), timeout=15).read()
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_, res = post({"jsonrpc": "2.0", "id": 2, "method": "tools/list", "params": {}}, session=sid, timeout=60)
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for t in res["result"]["tools"]:
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if t["name"] == "lanhu_get_ai_analyze_page_result":
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print(t.get("description", "")[:6000])
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print("\n=== INPUT SCHEMA ===")
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print(json.dumps(t.get("inputSchema", {}), ensure_ascii=False, indent=1))
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