{"name":"io.github.thelabvenice/memdata","slug":"thelabvenice-memdata","title":null,"description":"Persistent memory for AI agents. Store context, retrieve it semantically.","url":"https://mcp.market/server/thelabvenice-memdata","rating":null,"grade":"C","score":66,"certified":false,"status":"active","category":"ecommerce","tags":["ecommerce"],"presence":{"score":10,"stars":0,"forks":0,"downloads_week":27,"last_push_at":"2026-02-03T02:29:26.000Z","license":"MIT"},"uptime":null,"claimed":false,"transport":"npm","callable_via_gateway":false,"default_price_micros":0,"repository":"https://github.com/thelabvenice/memdata-mcp","website":null,"version":"1.4.1","remotes":[],"packages":[{"registryType":"npm","identifier":"memdata-mcp","version":"1.4.1","transport":{"type":"stdio"},"environmentVariables":[{"description":"Your MemData API key (get one at memdata.ai/dashboard/api-keys)","isRequired":true,"format":"string","isSecret":true,"name":"MEMDATA_API_KEY"}]}],"tools":[{"name":"memdata_delete","description":"Delete a memory/artifact from storage. This permanently removes the content and all associated chunks. Use memdata_list to find artifact IDs.","write_action":true,"price_micros":0,"input_schema":null},{"name":"memdata_ingest","description":"Ingest text content into long-term memory for later retrieval. Use this to store important information, notes, decisions, or context that should be remembered across conversations.","write_action":false,"price_micros":0,"input_schema":null},{"name":"memdata_list","description":"List all stored memories/artifacts. Shows what content has been ingested with chunk counts and dates. Use this to see what is in memory before querying or to find artifact IDs for deletion.","write_action":false,"price_micros":0,"input_schema":null},{"name":"memdata_query","description":"Search memory for relevant context based on a natural language query. Returns the most semantically similar stored content with similarity scores.","write_action":false,"price_micros":0,"input_schema":null},{"name":"memdata_query_timerange","description":"Search memory within a specific time range. Use for queries like \"what did I work on last week\" or \"meetings from January\".","write_action":false,"price_micros":0,"input_schema":null},{"name":"memdata_relationships","description":"Find entities related to a person, company, or concept in your memory. Shows who/what appears together in the same context.","write_action":false,"price_micros":0,"input_schema":null},{"name":"memdata_session_end","description":"Save a session handoff before ending. Stores what you were working on and context for the next session. Call this before context compression or when ending a work session.","write_action":false,"price_micros":0,"input_schema":null},{"name":"memdata_set_identity","description":"Set or update your agent identity. Use this to establish who you are and your purpose.","write_action":false,"price_micros":0,"input_schema":null},{"name":"memdata_status","description":"Check the health and storage usage of your MemData account. Shows API connectivity and how much storage space is used.","write_action":false,"price_micros":0,"input_schema":null},{"name":"memdata_whoami","description":"Get your agent identity and context at session start. Returns your name, identity summary, what you were working on, recent activity, and memory stats. Call this at the beginning of each session to remember who you are.","write_action":false,"price_micros":0,"input_schema":null}],"scan":{"score":66,"grade":"C","scanned_at":"2026-09-28T14:29:53.959Z","report":{"scannerVersion":"0.1.10","scannedAt":"2026-09-28T14:29:53.940Z","components":{"code":{"score":25,"max":25,"notes":["3 source files scanned"]},"reliability":{"score":-1,"max":20,"notes":["no gateway calls yet and no remote to probe"]},"poisoning":{"score":-1,"max":15,"notes":["tools not inspected (local package is not executed); not counted"]},"auth":{"score":6,"max":15,"notes":["static API keys via environment variables"]},"maintenance":{"score":4,"max":15,"notes":["last push 238 days ago"]},"identity":{"score":8,"max":10,"notes":["registry namespace matches repository owner","GitHub account older than a year"]}},"findings":[],"inputs":{"packages":[{"registryType":"npm","identifier":"memdata-mcp","version":"1.4.1","found":true,"license":"MIT","hasInstallScripts":false,"dependencyCount":2,"publishedAt":"2026-01-31T21:34:20.003Z","repositoryUrl":"git+https://github.com/thelabvenice/memdata-mcp.git","weeklyDownloads":27}],"repo":{"found":true,"owner":"thelabvenice","repo":"memdata-mcp","archived":false,"pushedAt":"2026-02-03T02:29:26Z","stars":0,"forks":0,"openIssues":0,"ownerType":"User","ownerAvatarUrl":"https://avatars.githubusercontent.com/u/10201497?v=4","ownerCreatedAt":"2014-12-15T22:56:59Z","license":"MIT"},"icon":{"url":"https://avatars.githubusercontent.com/u/10201497?v=4&s=128","source":"github"},"presence":{"stars":0,"forks":0,"downloadsWeek":27,"license":"MIT","lastPushAt":"2026-02-03T02:29:26.000Z","score":10}}}},"grade_history":[],"reviews":[]}