optimize mcp
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@@ -59,11 +59,10 @@ def embed(text, input_type):
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assert resp.embeddings.float_ is not None
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assert resp.embeddings.float_ is not None
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return resp.embeddings.float_[0]
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return resp.embeddings.float_[0]
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def search(query, roles: list[str], limit: int = 5) -> list[dict]:
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def search(query, roles: list[str], limit: int = 3, max_content_length: int = 1500) -> list[dict]:
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query_embedding = embed(query, 'search_query')
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query_embedding = embed(query, 'search_query')
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if not roles:
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if not roles:
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# No roles = no results
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return []
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return []
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rows = conn.execute(
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rows = conn.execute(
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@@ -71,7 +70,13 @@ def search(query, roles: list[str], limit: int = 5) -> list[dict]:
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(roles, query_embedding, limit)
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(roles, query_embedding, limit)
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).fetchall()
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).fetchall()
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return [{'key': row['key'], 'content': row['content']} for row in rows]
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docs = []
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for row in rows:
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content = row['content'] or ''
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if len(content) > max_content_length:
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content = content[:max_content_length] + '...[truncated, use get_document_page for full text]'
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docs.append({'key': row['key'], 'content': content})
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return docs
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@mcp.tool
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@mcp.tool
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def get_cave_location(cave: str, state: str, county: str) -> list[dict]:
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def get_cave_location(cave: str, state: str, county: str) -> list[dict]:
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