Mnemosyne MCP
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TDQS
Scored across 23 tools
Each tool has a clearly distinct purpose with no significant overlap. For example, append_to_document is for adding content without replacement, while write_document replaces entire documents; get_block retrieves a single block, query_blocks searches across blocks, and read_document fetches full documents. The separation between document operations, block operations, folder management, and graph queries is well-defined.
Tool names follow a highly consistent verb_noun pattern throughout, such as create_folder, delete_block, get_workspace, and move_document. All tools use snake_case without deviation, and verbs like create, delete, get, list, move, rename, query, and update are applied predictably across different resource types (e.g., graph, folder, block, document).
With 23 tools, the count is slightly high but reasonable for the server's broad scope covering document editing, block management, folder organization, and graph operations. Each tool appears purposeful, such as batch_update_blocks for efficiency or sparql_query for specialized queries, though some consolidation might be possible (e.g., move_artifact, move_document, and move_folder could be unified).
The toolset provides comprehensive coverage for the Mnemosyne domain, including full CRUD for documents, blocks, folders, and graphs, plus advanced operations like SPARQL queries, workspace navigation, and context retrieval. There are no obvious gaps; tools support creation, reading, updating, deletion, moving, renaming, querying, and batch operations, enabling agents to handle all typical workflows without dead ends.