Librarian (arcadeai-labs/agent-library) is an MCP server listed on the M8ven Trust Index. M8ven has not graded it: we have no way to read this server ourselves. No publisher has claimed this listing.
Provides AI agents with persistent knowledge storage, enabling them to store, search, and retrieve text, documents, and files using semantic and keyword search via MCP tools.
Caution. Specific findings reduced this grade. They are listed on the page. Grades reflect the full trust pyramid: code, verification depth, and reputation. New projects cap at C until adoption is earned.
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arcadeai-labs
Source: Glama
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LIBRARIAN_PROG_NAMEEDITORVISUALDOCUMENTS_PATH./documents Root directory for filesINDEX_SKIP_DIRSINDEX_SKIP_EXTENSIONSDATABASE_PATH~/.librarian/index.db SQLite database locationSOURCES_CONFIG_PATHEMBEDDING_PROVIDERopenai local or openaiEMBEDDING_MODELall-MiniLM-L6-v2 Local model nameEMBEDDING_DIMENSIONOPENAI_API_KEYOPENAI_API_BASEOPENAI_EMBEDDING_MODELqwen3-embedding-06b API model nameOPENAI_EMBEDDING_DIMENSIONOPENAI_EMBEDDING_BATCH_SIZEENABLE_CODE_EMBEDDINGSCODE_EMBEDDING_MODELCODE_EMBEDDING_DIMENSIONCODE_EMBEDDING_PROVIDERENABLE_VISION_EMBEDDINGSVISION_EMBEDDING_MODELVISION_EMBEDDING_DIMENSIONENABLE_OCROCR_LANGUAGEOCR_CONFIGOCR_MIN_CONFIDENCEDEFAULT_ASSET_TYPESCHUNK_SIZE512 Max characters per chunkCHUNK_OVERLAP50 Overlap between chunksMIN_CHUNK_SIZECODE_CHUNK_STRATEGYCODE_INCLUDE_CONTEXTCODE_CONTEXT_LINESPDF_CHUNK_STRATEGYSEARCH_LIMIT10 Default results limitMMR_LAMBDA0.7 MMR diversity (0=diverse, 1=relevant)HYBRID_ALPHA0.7 Vector vs keyword weight (1=vector only)ENABLE_CROSS_MODAL_SEARCHCROSS_MODAL_SIMILARITY_THRESHOLDMODALITY_WEIGHT_TEXTMODALITY_WEIGHT_CODEMODALITY_WEIGHT_VISIONMODALITY_WEIGHT_FTSCODEBASE_AUTO_DETECTCODEBASE_INDEX_TESTSCODEBASE_MAX_FILE_SIZE_KBENABLE_PDF_PROCESSINGPDF_OCR_ENABLEDIMAGE_GENERATE_CAPTIONSIMAGE_CAPTION_MODELTOOL_SEARCH_DEFAULT_LIMITTOOL_MAX_CONTEXT_LINESCODE_MAX_DEPENDENCY_DEPTHCODE_MAX_REFERENCESINDEX_POLL_INTERVALINDEX_START_DELAYLIBRARIAN_HOSTLIBRARIAN_PORTLIBRARIAN_ENABLE_OPTIONAL_TOOLSOptional Tools (enable with =true):ANTHROPIC_API_KEYTRANSFORMERS_VERBOSITYTQDM_DISABLETool annotations
No tools have read-only/destructive annotations
Add readOnlyHint or destructiveHint annotations to every tool so hosts can warn users before invoking.
All four hints declared on every tool
9/9 tools missing one or more hints — index_directory_to_library (missing: readOnlyHint, destructiveHint, idempotentHint, openWorldHint); add_to_library (missing: readOnlyHint, destructiveHint, idempotentHint, openWorldHint); update_library_doc (missing: readOnlyHint, destructiveHint, idempotentHint, openWorldHint), +6 more. OpenAI's directory rejects tools where any of the four hints are missing or non-boolean.
For every tool, set all four hints (readOnlyHint, destructiveHint, idempotentHint, openWorldHint) to explicit true/false values that match the handler’s actual behaviour.
Destructive tools are labelled
1 tool perform destructive updates without destructiveHint — remove_from_library deletes at line 1029 (file_path.unlink())
Add destructiveHint:true to any tool whose handler calls .delete(), .upsert(), .update(), unlink, rm, DELETE, DROP, REPLACE INTO, or any operation that overwrites existing data.
Tool handlers catch errors
7/9 tool handlers wrap calls in try/catch (78%)
Wrap each tool handler body in try/catch and return a structured error response.
Tests exist
No test files found
Add tests that exercise each declared tool.
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