search_notes
Search across your knowledge base with advanced syntax to find specific content, filter by type or date, and navigate results with pagination controls.
Instructions
Search across all content in the knowledge base with advanced syntax support.
Input Schema
TableJSON Schema
| Name | Required | Description | Default |
|---|---|---|---|
| after_date | No | ||
| entity_types | No | ||
| page | No | ||
| page_size | No | ||
| project | No | ||
| query | Yes | ||
| search_type | No | text | |
| types | No |
Implementation Reference
- Main handler function for the 'search_notes' MCP tool. Processes parameters, builds SearchQuery, calls backend /search/ API, returns SearchResponse or formatted error string.@mcp.tool( description="Search across all content in the knowledge base with advanced syntax support.", ) async def search_notes( query: str, project: Optional[str] = None, page: int = 1, page_size: int = 10, search_type: str = "text", types: List[str] = [], entity_types: List[str] = [], after_date: Optional[str] = None, context: Context | None = None, ) -> SearchResponse | str: """Search across all content in the knowledge base with comprehensive syntax support. This tool searches the knowledge base using full-text search, pattern matching, or exact permalink lookup. It supports filtering by content type, entity type, and date, with advanced boolean and phrase search capabilities. Project Resolution: Server resolves projects in this order: Single Project Mode → project parameter → default project. If project unknown, use list_memory_projects() or recent_activity() first. ## Search Syntax Examples ### Basic Searches - `search_notes("my-project", "keyword")` - Find any content containing "keyword" - `search_notes("work-docs", "'exact phrase'")` - Search for exact phrase match ### Advanced Boolean Searches - `search_notes("my-project", "term1 term2")` - Find content with both terms (implicit AND) - `search_notes("my-project", "term1 AND term2")` - Explicit AND search (both terms required) - `search_notes("my-project", "term1 OR term2")` - Either term can be present - `search_notes("my-project", "term1 NOT term2")` - Include term1 but exclude term2 - `search_notes("my-project", "(project OR planning) AND notes")` - Grouped boolean logic ### Content-Specific Searches - `search_notes("research", "tag:example")` - Search within specific tags (if supported by content) - `search_notes("work-project", "category:observation")` - Filter by observation categories - `search_notes("team-docs", "author:username")` - Find content by author (if metadata available) ### Search Type Examples - `search_notes("my-project", "Meeting", search_type="title")` - Search only in titles - `search_notes("work-docs", "docs/meeting-*", search_type="permalink")` - Pattern match permalinks - `search_notes("research", "keyword", search_type="text")` - Full-text search (default) ### Filtering Options - `search_notes("my-project", "query", types=["entity"])` - Search only entities - `search_notes("work-docs", "query", types=["note", "person"])` - Multiple content types - `search_notes("research", "query", entity_types=["observation"])` - Filter by entity type - `search_notes("team-docs", "query", after_date="2024-01-01")` - Recent content only - `search_notes("my-project", "query", after_date="1 week")` - Relative date filtering ### Advanced Pattern Examples - `search_notes("work-project", "project AND (meeting OR discussion)")` - Complex boolean logic - `search_notes("research", "\"exact phrase\" AND keyword")` - Combine phrase and keyword search - `search_notes("dev-notes", "bug NOT fixed")` - Exclude resolved issues - `search_notes("archive", "docs/2024-*", search_type="permalink")` - Year-based permalink search Args: query: The search query string (supports boolean operators, phrases, patterns) project: Project name to search in. Optional - server will resolve using hierarchy. If unknown, use list_memory_projects() to discover available projects. page: The page number of results to return (default 1) page_size: The number of results to return per page (default 10) search_type: Type of search to perform, one of: "text", "title", "permalink" (default: "text") types: Optional list of note types to search (e.g., ["note", "person"]) entity_types: Optional list of entity types to filter by (e.g., ["entity", "observation"]) after_date: Optional date filter for recent content (e.g., "1 week", "2d", "2024-01-01") context: Optional FastMCP context for performance caching. Returns: SearchResponse with results and pagination info, or helpful error guidance if search fails Examples: # Basic text search results = await search_notes("project planning") # Boolean AND search (both terms must be present) results = await search_notes("project AND planning") # Boolean OR search (either term can be present) results = await search_notes("project OR meeting") # Boolean NOT search (exclude terms) results = await search_notes("project NOT meeting") # Boolean search with grouping results = await search_notes("(project OR planning) AND notes") # Exact phrase search results = await search_notes("\"weekly standup meeting\"") # Search with type filter results = await search_notes( "meeting notes", types=["entity"], ) # Search with entity type filter results = await search_notes( "meeting notes", entity_types=["observation"], ) # Search for recent content results = await search_notes( "bug report", after_date="1 week" ) # Pattern matching on permalinks results = await search_notes( "docs/meeting-*", search_type="permalink" ) # Title-only search results = await search_notes( "Machine Learning", search_type="title" ) # Complex search with multiple filters results = await search_notes( "(bug OR issue) AND NOT resolved", types=["entity"], after_date="2024-01-01" ) # Explicit project specification results = await search_notes("project planning", project="my-project") """ # Create a SearchQuery object based on the parameters search_query = SearchQuery() # Set the appropriate search field based on search_type if search_type == "text": search_query.text = query elif search_type == "title": search_query.title = query elif search_type == "permalink" and "*" in query: search_query.permalink_match = query elif search_type == "permalink": search_query.permalink = query else: search_query.text = query # Default to text search # Add optional filters if provided (empty lists are treated as no filter) if entity_types: search_query.entity_types = [SearchItemType(t) for t in entity_types] if types: search_query.types = types if after_date: search_query.after_date = after_date async with get_client() as client: active_project = await get_active_project(client, project, context) project_url = active_project.project_url logger.info(f"Searching for {search_query} in project {active_project.name}") try: response = await call_post( client, f"{project_url}/search/", json=search_query.model_dump(), params={"page": page, "page_size": page_size}, ) result = SearchResponse.model_validate(response.json()) # Check if we got no results and provide helpful guidance if not result.results: logger.info( f"Search returned no results for query: {query} in project {active_project.name}" ) # Don't treat this as an error, but the user might want guidance # We return the empty result as normal - the user can decide if they need help return result except Exception as e: logger.error(f"Search failed for query '{query}': {e}, project: {active_project.name}") # Return formatted error message as string for better user experience return _format_search_error_response(active_project.name, str(e), query, search_type)
- Pydantic schemas used by search_notes: SearchQuery for input, SearchResponse/SearchResult for output, SearchItemType enum.class SearchItemType(str, Enum): """Types of searchable items.""" ENTITY = "entity" OBSERVATION = "observation" RELATION = "relation" class SearchQuery(BaseModel): """Search query parameters. Use ONE of these primary search modes: - permalink: Exact permalink match - permalink_match: Path pattern with * - text: Full-text search of title/content (supports boolean operators: AND, OR, NOT) Optionally filter results by: - types: Limit to specific item types - entity_types: Limit to specific entity types - after_date: Only items after date Boolean search examples: - "python AND flask" - Find items with both terms - "python OR django" - Find items with either term - "python NOT django" - Find items with python but not django - "(python OR flask) AND web" - Use parentheses for grouping """ # Primary search modes (use ONE of these) permalink: Optional[str] = None # Exact permalink match permalink_match: Optional[str] = None # Glob permalink match text: Optional[str] = None # Full-text search (now supports boolean operators) title: Optional[str] = None # title only search # Optional filters types: Optional[List[str]] = None # Filter by type entity_types: Optional[List[SearchItemType]] = None # Filter by entity type after_date: Optional[Union[datetime, str]] = None # Time-based filter @field_validator("after_date") @classmethod def validate_date(cls, v: Optional[Union[datetime, str]]) -> Optional[str]: """Convert datetime to ISO format if needed.""" if isinstance(v, datetime): return v.isoformat() return v def no_criteria(self) -> bool: return ( self.permalink is None and self.permalink_match is None and self.title is None and self.text is None and self.after_date is None and self.types is None and self.entity_types is None ) def has_boolean_operators(self) -> bool: """Check if the text query contains boolean operators (AND, OR, NOT).""" if not self.text: # pragma: no cover return False # Check for common boolean operators with correct word boundaries # to avoid matching substrings like "GRAND" containing "AND" boolean_patterns = [" AND ", " OR ", " NOT ", "(", ")"] text = f" {self.text} " # Add spaces to ensure we match word boundaries return any(pattern in text for pattern in boolean_patterns) class SearchResult(BaseModel): """Search result with score and metadata.""" title: str type: SearchItemType score: float entity: Optional[Permalink] = None permalink: Optional[str] content: Optional[str] = None file_path: str metadata: Optional[dict] = None # IDs for v2 API consistency entity_id: Optional[int] = None # Entity ID (always present for entities) observation_id: Optional[int] = None # Observation ID (for observation results) relation_id: Optional[int] = None # Relation ID (for relation results) # Type-specific fields category: Optional[str] = None # For observations from_entity: Optional[Permalink] = None # For relations to_entity: Optional[Permalink] = None # For relations relation_type: Optional[str] = None # For relations class SearchResponse(BaseModel): """Wrapper for search results.""" results: List[SearchResult] current_page: int page_size: int
- src/basic_memory/mcp/tools/__init__.py:16-16 (registration)Import statement that registers the search_notes tool by importing the decorated handler function.from basic_memory.mcp.tools.search import search_notes
- Helper function that formats comprehensive, user-friendly error messages with search tips for various failure modes in search_notes.def _format_search_error_response( project: str, error_message: str, query: str, search_type: str = "text" ) -> str: """Format helpful error responses for search failures that guide users to successful searches.""" # FTS5 syntax errors if "syntax error" in error_message.lower() or "fts5" in error_message.lower(): clean_query = ( query.replace('"', "") .replace("(", "") .replace(")", "") .replace("+", "") .replace("*", "") ) return dedent(f""" # Search Failed - Invalid Syntax The search query '{query}' contains invalid syntax that the search engine cannot process. ## Common syntax issues: 1. **Special characters**: Characters like `+`, `*`, `"`, `(`, `)` have special meaning in search 2. **Unmatched quotes**: Make sure quotes are properly paired 3. **Invalid operators**: Check AND, OR, NOT operators are used correctly ## How to fix: 1. **Simplify your search**: Try using simple words instead: `{clean_query}` 2. **Remove special characters**: Use alphanumeric characters and spaces 3. **Use basic boolean operators**: `word1 AND word2`, `word1 OR word2`, `word1 NOT word2` ## Examples of valid searches: - Simple text: `project planning` - Boolean AND: `project AND planning` - Boolean OR: `meeting OR discussion` - Boolean NOT: `project NOT archived` - Grouped: `(project OR planning) AND notes` - Exact phrases: `"weekly standup meeting"` - Content-specific: `tag:example` or `category:observation` ## Try again with: ``` search_notes("{project}","{clean_query}") ``` ## Alternative search strategies: - Break into simpler terms: `search_notes("{project}", "{" ".join(clean_query.split()[:2])}")` - Try different search types: `search_notes("{project}","{clean_query}", search_type="title")` - Use filtering: `search_notes("{project}","{clean_query}", types=["entity"])` """).strip() # Project not found errors (check before general "not found") if "project not found" in error_message.lower(): return dedent(f""" # Search Failed - Project Not Found The current project is not accessible or doesn't exist: {error_message} ## How to resolve: 1. **Check available projects**: `list_projects()` 3. **Verify project setup**: Ensure your project is properly configured ## Current session info: - See available projects: `list_projects()` """).strip() # No results found if "no results" in error_message.lower() or "not found" in error_message.lower(): simplified_query = ( " ".join(query.split()[:2]) if len(query.split()) > 2 else query.split()[0] if query.split() else "notes" ) return dedent(f""" # Search Complete - No Results Found No content found matching '{query}' in the current project. ## Search strategy suggestions: 1. **Broaden your search**: Try fewer or more general terms - Instead of: `{query}` - Try: `{simplified_query}` 2. **Check spelling and try variations**: - Verify terms are spelled correctly - Try synonyms or related terms 3. **Use different search approaches**: - **Text search**: `search_notes("{project}","{query}", search_type="text")` (searches full content) - **Title search**: `search_notes("{project}","{query}", search_type="title")` (searches only titles) - **Permalink search**: `search_notes("{project}","{query}", search_type="permalink")` (searches file paths) 4. **Try boolean operators for broader results**: - OR search: `search_notes("{project}","{" OR ".join(query.split()[:3])}")` - Remove restrictive terms: Focus on the most important keywords 5. **Use filtering to narrow scope**: - By content type: `search_notes("{project}","{query}", types=["entity"])` - By recent content: `search_notes("{project}","{query}", after_date="1 week")` - By entity type: `search_notes("{project}","{query}", entity_types=["observation"])` 6. **Try advanced search patterns**: - Tag search: `search_notes("{project}","tag:your-tag")` - Category search: `search_notes("{project}","category:observation")` - Pattern matching: `search_notes("{project}","*{query}*", search_type="permalink")` ## Explore what content exists: - **Recent activity**: `recent_activity(timeframe="7d")` - See what's been updated recently - **List directories**: `list_directory("{project}","/")` - Browse all content - **Browse by folder**: `list_directory("{project}","/notes")` or `list_directory("/docs")` """).strip() # Server/API errors if "server error" in error_message.lower() or "internal" in error_message.lower(): return dedent(f""" # Search Failed - Server Error The search service encountered an error while processing '{query}': {error_message} ## Immediate steps: 1. **Try again**: The error might be temporary 2. **Simplify the query**: Use simpler search terms 3. **Check project status**: Ensure your project is properly synced ## Alternative approaches: - Browse files directly: `list_directory("{project}","/")` - Check recent activity: `recent_activity(timeframe="7d")` - Try a different search type: `search_notes("{project}","{query}", search_type="title")` ## If the problem persists: The search index might need to be rebuilt. Send a message to support@basicmachines.co or check the project sync status. """).strip() # Permission/access errors if ( "permission" in error_message.lower() or "access" in error_message.lower() or "forbidden" in error_message.lower() ): return f"""# Search Failed - Access Error You don't have permission to search in the current project: {error_message} ## How to resolve: 1. **Check your project access**: Verify you have read permissions for this project 2. **Switch projects**: Try searching in a different project you have access to 3. **Check authentication**: You might need to re-authenticate ## Alternative actions: - List available projects: `list_projects()`""" # Generic fallback return f"""# Search Failed Error searching for '{query}': {error_message} ## Troubleshooting steps: 1. **Simplify your query**: Try basic words without special characters 2. **Check search syntax**: Ensure boolean operators are correctly formatted 3. **Verify project access**: Make sure you can access the current project 4. **Test with simple search**: Try `search_notes("test")` to verify search is working ## Alternative search approaches: - **Different search types**: - Title only: `search_notes("{project}","{query}", search_type="title")` - Permalink patterns: `search_notes("{project}","{query}*", search_type="permalink")` - **With filters**: `search_notes("{project}","{query}", types=["entity"])` - **Recent content**: `search_notes("{project}","{query}", after_date="1 week")` - **Boolean variations**: `search_notes("{project}","{" OR ".join(query.split()[:2])}")` ## Explore your content: - **Browse files**: `list_directory("{project}","/")` - See all available content - **Recent activity**: `recent_activity(timeframe="7d")` - Check what's been updated - **All projects**: `list_projects()` ## Search syntax reference: - **Basic**: `keyword` or `multiple words` - **Boolean**: `term1 AND term2`, `term1 OR term2`, `term1 NOT term2` - **Phrases**: `"exact phrase"` - **Grouping**: `(term1 OR term2) AND term3` - **Patterns**: `tag:example`, `category:observation`"""
- src/basic_memory/mcp/server.py:7-9 (registration)Creation of the FastMCP server instance 'mcp' to which all tools including search_notes are registered.mcp = FastMCP( name="Basic Memory", )