feat(rag): align LightRAG native citations and MCP bridge
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#!/usr/bin/env python3
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"""MNote LightRAG MCP facade.
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This is intentionally thin: LightRAG owns retrieval, MNote owns citation/open
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mapping through its source registry.
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"""
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from __future__ import annotations
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import os
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from pathlib import Path
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from typing import Any
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import httpx
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from mcp.server.fastmcp import FastMCP
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DEFAULT_ENV_FILE = "/mnt/Data1T/Mnote_data/lightrag/LightRAG/.env"
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DEFAULT_MNOTE_WEB_URL = "http://127.0.0.1:3000"
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DEFAULT_ROOT_URI = "file:///mnt/Data1T/Mnote_data/users/mnote-e2e/workspaces/my-space"
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DEFAULT_WORKSPACE_ID = "local-ws:mnote-e2e:my-space"
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mcp = FastMCP("MNote-LightRAG-Server")
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def _read_env_value(key: str, env_file: str) -> str:
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path = Path(env_file)
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if not path.exists():
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return ""
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for line in path.read_text(encoding="utf-8").splitlines():
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if not line.startswith(f"{key}="):
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continue
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value = line.split("=", 1)[1].strip()
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if (value.startswith('"') and value.endswith('"')) or (
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value.startswith("'") and value.endswith("'")
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):
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value = value[1:-1]
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return value
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return ""
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def _lightrag_base_url() -> str:
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env_file = os.environ.get("MNOTE_LIGHTRAG_ENV_FILE", DEFAULT_ENV_FILE)
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host = os.environ.get("LIGHTRAG_HOST") or _read_env_value("HOST", env_file) or "127.0.0.1"
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port = os.environ.get("LIGHTRAG_PORT") or _read_env_value("PORT", env_file) or "9621"
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return f"http://{host}:{port}".rstrip("/")
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def _lightrag_api_key() -> str:
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env_file = os.environ.get("MNOTE_LIGHTRAG_ENV_FILE", DEFAULT_ENV_FILE)
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return os.environ.get("LIGHTRAG_API_KEY") or _read_env_value("LIGHTRAG_API_KEY", env_file)
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def _mnote_web_url() -> str:
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return os.environ.get("MNOTE_WEB_URL", DEFAULT_MNOTE_WEB_URL).rstrip("/")
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def _mnote_headers() -> dict[str, str]:
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return {
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"content-type": "application/json",
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"x-mnote-actor-id": os.environ.get("MNOTE_ACTOR_ID", "mnote-e2e"),
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"x-mnote-actor-type": os.environ.get("MNOTE_ACTOR_TYPE", "user"),
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}
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async def _request_lightrag(path: str, *, method: str = "GET", json_body: Any = None) -> Any:
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headers = {"accept": "application/json"}
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api_key = _lightrag_api_key()
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if api_key:
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# 当前 LightRAG /query 接受 X-API-Key;Bearer 在本机版本会返回 Invalid token。
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headers["X-API-Key"] = api_key
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async with httpx.AsyncClient(timeout=180) as client:
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response = await client.request(
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method,
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f"{_lightrag_base_url()}{path}",
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headers=headers,
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json=json_body,
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)
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try:
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payload = response.json()
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except Exception:
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payload = {"text": response.text}
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if response.status_code >= 400:
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return {"status": "error", "response": None, "error": payload, "httpStatus": response.status_code}
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return {"status": "success", "response": payload, "error": None, "httpStatus": response.status_code}
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@mcp.tool(
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name="verify_server_health",
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description="Check whether the configured local LightRAG server is healthy.",
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)
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async def verify_server_health() -> Any:
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return await _request_lightrag("/health")
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@mcp.tool(
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name="check_indexing_status",
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description="Check the LightRAG document processing pipeline status.",
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)
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async def check_indexing_status() -> Any:
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return await _request_lightrag("/documents/pipeline_status")
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@mcp.tool(
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name="list_all_docs",
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description="List documents currently known to LightRAG.",
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)
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async def list_all_docs() -> Any:
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return await _request_lightrag("/documents")
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@mcp.tool(
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name="query_knowledge_graph",
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description="Search the local LightRAG knowledge base. Use mix by default; references include provider file_path/chunk_id for MNote citation mapping.",
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)
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async def query_knowledge_graph(
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prompt: str,
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search_mode: str = "mix",
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limit: int = 60,
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context_only: bool = False,
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prompt_only: bool = False,
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include_references: bool = True,
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include_chunk_content: bool = True,
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) -> Any:
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mode_aliases = {
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"keyword": "naive",
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"semantic": "hybrid",
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}
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mode = mode_aliases.get(search_mode, search_mode)
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body = {
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"query": prompt,
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"mode": mode,
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"top_k": limit,
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"chunk_top_k": limit,
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"only_need_context": context_only,
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"only_need_prompt": prompt_only,
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"include_references": include_references,
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"include_chunk_content": include_chunk_content,
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"response_type": "Multiple Paragraphs",
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}
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return await _request_lightrag("/query", method="POST", json_body=body)
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@mcp.tool(
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name="open_mnote_reference",
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description="Map a LightRAG reference/file_path/chunk_id to an MNote clickable citationUrl using MNote source registry.",
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)
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async def open_mnote_reference(
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file_path: str,
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chunk_id: str = "",
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reference_id: str = "",
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workspace_id: str = DEFAULT_WORKSPACE_ID,
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root_uri: str = DEFAULT_ROOT_URI,
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include_registry: bool = False,
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) -> Any:
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body: dict[str, Any] = {
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"workspaceId": workspace_id,
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"rootUri": root_uri,
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"filePath": file_path,
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}
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if chunk_id:
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body["chunkId"] = chunk_id
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if reference_id:
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body["referenceId"] = reference_id
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async with httpx.AsyncClient(timeout=60) as client:
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response = await client.post(
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f"{_mnote_web_url()}/api/knowledge-rag/open-reference",
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headers=_mnote_headers(),
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json=body,
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)
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try:
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payload = response.json()
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except Exception:
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payload = {"text": response.text}
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if response.status_code >= 400:
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return {"status": "error", "response": None, "error": payload, "httpStatus": response.status_code}
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if not include_registry and isinstance(payload, dict):
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payload = {key: value for key, value in payload.items() if key != "registry"}
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return {"status": "success", "response": payload, "error": None, "httpStatus": response.status_code}
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if __name__ == "__main__":
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mcp.run()
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