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Compare scores, permissions, risks, and fit in one decision-focused table.

DimensionMindwtr MCP ServerLet AI assistants read and manage your local Mindwtr GTD tasks.Basic MemoryYour AI never forgets again.
FMRS57 / 100 · C72 / 100 · B
Reliability8 / 2010 / 20
Security and permissions10 / 2015 / 20
Maintenance16 / 2016 / 20
Documentation11 / 2017 / 20
Setup experience12 / 2014 / 20
Best for
  • Existing Mindwtr users who want AI assistance with task capture and processing
  • Developers or power users comfortable configuring a local stdio MCP server
  • Self-hosters running a Mindwtr Cloud instance who need read-only querying
  • Privacy-conscious developers who want local data storage.
  • Researchers who need AI-assisted management of large note collections.
  • Users of Markdown editors like Obsidian.
Not for
  • Users without Mindwtr installed or without a local SQLite database
  • Teams needing multi-user collaborative writes via Cloud (Cloud mode is read-only)
  • Non-technical users unfamiliar with npm package installs and environment variables
  • Users needing cloud sync and mobile access (unless using the paid cloud service).
  • Minimalists who want zero configuration.
  • Scenarios requiring large-scale vector databases and complex retrieval (local SQLite may be insufficient).
Required permissions
  • Read/write access to the local Mindwtr SQLite database file (path set via MINDWTR_DB_PATH)
  • Network access to a self-hosted Mindwtr Cloud URL when Cloud mode is configured (read-only)
  • A bearer token credential for Cloud API access
  • Read and write to the local filesystem (default: ~/basic-memory).
  • Perform file and directory operations (create, edit, delete).
  • Access local SQLite database (or Postgres/Milvus if configured).
Risks and side effects
  • The server has write access to the local database, so erroneous AI-issued changes could corrupt or pollute local task data
  • Storing the Cloud bearer token insecurely in environment variables risks credential exposure
  • Task and project data is exposed to whichever AI model is connected, with no additional sandboxing on scope
  • Tools have write operations that may unintentionally modify or delete notes.
  • Edit operations may overwrite existing content, though there are protections.
  • Semantic search and reranking features may require model downloads, adding latency.
  • Local data backups are the user's responsibility.
Supported clientsClaude DesktopClaude Desktop, Claude Code, Codex, Cursor, VS Code, ChatGPT, Obsidian
Tools021