scratchbook-mcp
Related Servers
Alternatives to scratchbook-mcp
No user-submitted related servers found.
Related Servers
- AlicenseAqualityAmaintenancePersistent memory MCP server for AI coding agents (Claude Code, Codex, Gemini CLI). Hybrid retrieval (vector + BM25), cross-encoder reranking, knowledge graph, session checkpoint/resume, and multi-scope isolation. Local-first with LanceDB.3024 npm15MIT
- AlicenseAqualityDmaintenanceMCP server for semantic code indexing using vector embeddings, enabling AI agents to maintain persistent memory of codebases through natural language queries and intelligent chunking.193 npm4MIT
- AlicenseAqualityBmaintenanceUnified MCP server: hybrid search + code graph + semantic memory. 10 tools, <350MB RAM, fully local. No API keys.10PolyForm Noncommercial 1.0.0
- FlicenseNot gradedqualityDmaintenanceMCP server for semantic code search and explanation. Allows AI agents to search, ask questions, and manage memory about a codebase with local embeddings and LLM integration.-
- AlicenseBqualityCmaintenanceA local-first MCP server that provides AI agents with safe codebase access through file discovery, hybrid lexical-semantic search, and project introspection. It features durable local memory and semantic indexing while keeping all data and processing entirely on your local machine.747 npm6MIT
- AlicenseNot gradedqualityDmaintenanceMCP server that gives AI coding agents persistent, semantic memory via Qdrant vector search, enabling workspace-aware codebase, documentation, and decision search.MIT
TDQS
Scored across 9 tools
Each tool targets a distinct concern: indexing, semantic search, structural outline, journaling, recall, status, forget, and gaze (create/read). There is no overlap in purpose, and the descriptions make boundaries clear.
All tools share the `scratchbook_` prefix and use consistent lowercase snake_case. The suffixes are single verbs/nouns, and even the compound `gaze_read` follows the established pattern. No style mixing.
With 9 tools covering codebase indexing/search/outline, journaling/recall, status/forget, and the gaze subsystem, the count is well-scoped and each tool earns its place.
Core workflows are covered: index, search, outline, journal, recall, forget, status, gaze, and gaze_read. Minor gaps exist—journal notes cannot be updated or deleted, and gaze boards lack a list/delete capability—but these are workable.