Qualitative Researcher MCP Server

A sophisticated query tool for exploring, analyzing, and retrieving complex information from the qualitative research knowledge graph. When to use this tool: - Retrieving a comprehensive view of your entire research knowledge structure - Searching for specific research entities across your qualitative data corpus - Getting detailed information about particular research projects, participants, or analytical elements - Exploring relationships between research components (codes, themes, quotes) - Analyzing code frequencies and distributions across your data - Retrieving interview or observation transcripts for analysis - Accessing memo content for reflection on the research process - Generating codebooks or analytical frameworks for documentation - Finding connections between different aspects of your research - Creating research reports or summaries from your data - Exploring thematic structures and their evidentiary basis - Identifying entities by status to track research progress - Filtering tasks by priority to manage research workflow - Analyzing sequential relationships between research processes Key features: - Offers specialized operations for querying different aspects of qualitative research data - Retrieves complete or filtered views of the research knowledge graph - Provides flexible search capabilities across all research entities - Supports detailed exploration of specific entities by name - Generates specialized views for projects, participants, codes, and themes - Retrieves content and metadata for interviews, transcripts, and memos - Creates codebooks and thematic frameworks for documentation - Identifies related entities to explore connections within your research - Returns consistently structured JSON responses for easy processing - Facilitates depth and breadth exploration of qualitative data - Supports status-based filtering of research entities - Enables priority-based task management - Provides sequential process analysis capabilities Parameters explained: 1. type: The type of query operation to perform - Accepts one of the specialized operations: "graph", "search", "nodes", "project", "participant", "codes", "themes", "transcript", "memo", "analysis", "codebook", "related", "status", "priority", "sequence" - Determines how the params parameter is interpreted 2. params: Operation-specific parameters (structure varies by type): - For "graph": No parameters needed (retrieves the full research knowledge graph) - For "search": Object containing: * query: Search string to find entities (supports entity type filters) - For "nodes": Object containing: * names: Array of entity names to retrieve - For "project": Object containing: * projectName: Name of the project to retrieve details for - For "participant": Object containing: * participantName: Name of the participant to retrieve profile for - For "codes": Object containing: * projectName: (Optional) Project name to filter codes by - For "themes": Object containing: * projectName: (Optional) Project name to filter themes by - For "transcript": Object containing: * participantName: Participant associated with the transcript * interviewId: (Optional) Specific interview identifier - For "memo": Object containing: * memoName: Name of the memo to retrieve - For "analysis": Object containing: * projectName: Project name to retrieve analysis artifacts for - For "codebook": Object containing: * projectName: Project name to generate codebook for - For "related": Object containing: * entityName: Name of the entity to find related entities for - For "status": Object containing: * statusValue: The status value to filter by (e.g., "planning", "data_collection", "analysis") - For "priority": Object containing: * priorityValue: The priority value to filter by (e.g., "high", "low") - For "sequence": Object containing: * entityName: Name of the entity to find sequential relationships for Operation details: - graph: Returns the complete research knowledge graph with all entities and relationships - search: Performs text-based search across entity names and observations - nodes: Retrieves detailed information about specific entities by name - project: Returns comprehensive project information including participants, interviews, codes, and findings - participant: Generates a participant profile with demographic information and associated data - codes: Lists all codes, optionally filtered by project, with reference counts and descriptions - themes: Returns all themes, optionally filtered by project, with associated codes and descriptions - transcript: Retrieves interview transcript content for specific participant/interview combinations - memo: Returns the full content of an analytical memo with metadata - analysis: Collects all analysis artifacts (codes, themes, memos) for a specific project - codebook: Generates a structured codebook for a project with code definitions and examples - related: Identifies all entities directly connected to a specific entity - status: Retrieves all entities with a specific status value - priority: Retrieves all entities with a specific priority value - sequence: Identifies sequential relationships for a specific entity showing preceding and following entities Status and Priority Information: - Status queries return entities organized by their current research stage - Priority queries help identify critical research tasks and elements - Status values include: planning, data_collection, analysis, writing, complete, scheduled, conducted, transcribed, coded, analyzed, emerging, developing, established, preliminary, draft, final, active, in_progress - Priority values include: high, low Sequential Process Information: - Sequence queries identify entities that come before or after in a research process - Sequential relationships help visualize the research workflow - The sequence operation shows both incoming and outgoing precedes relations Return information: - JSON response with a consistent structure: - success: Boolean indicating whether the operation succeeded - Additional fields depend on the operation type: * graph: Complete knowledge graph * results: For search operations * nodes: For specific entity retrieval * project/participant/etc.: For specialized views * status/priority: Lists of entities with specified status/priority values * sequence: Preceding and following entities in research processes - Error information when operations fail You should: - Start with broad queries ("graph", "search") to explore your research corpus - Use specific entity queries ("nodes", "project", "participant") for detailed information - Combine search and related queries to discover connections in your data - Generate codebooks and project overviews for documentation and reporting - Use transcript retrieval to access primary data when needed - Explore thematic structures through themes and related entity queries - Review memos to track your analytical process over time - Filter code and theme queries by project for more focused results - Use search with entity type filters to find specific types of research elements - Use status queries to identify all entities at a particular research stage - Use priority queries to focus on high-priority research tasks - Use sequence queries to understand process flows in your research methodology