loci
Related Servers
Alternatives to loci
No user-submitted related servers found.
Related Servers
- AlicenseNot gradedqualityAmaintenanceMCP server for local RAG over personal notes, PDFs, and documents, enabling plain-English querying and hybrid search with multi-hop context expansion.MIT
- AlicenseNot gradedqualityDmaintenanceLocal MCP server for indexing personal knowledge into SQLite with hybrid search, chunk-level citations, memory tools, and agent orchestration.4MIT
- AlicenseAqualityAmaintenanceLocal-first RAG MCP server that indexes local documents and provides hybrid search (semantic + keyword) with file ingestion, URL fetching, and a CLI, keeping data on-device.1167MIT
- AlicenseNot gradedqualityAmaintenanceLocal-first MCP server for retrieval over markdown wikilink vaults, offering hybrid vector+lexical search, note reading, neighbor expansion, and recent activity tracking with fully local embeddings and no network egress.MIT
- AlicenseNot gradedqualityDmaintenanceA private, local AI second brain for Markdown notes, providing hybrid search and read/write tools for MCP-compatible AI clients like Claude and Cursor.6MIT
- FlicenseNot gradedqualityCmaintenanceA local-first, LLM-agnostic MCP server that lets you ask hard questions about your documents, media, and code, and get traceable answers entirely offline.-
TDQS
Scored across 9 tools
Most tools are clearly separated: brain_search returns raw excerpts while brain_ask synthesizes an answer, and brain_ingest/brain_forget/brain_stats are unambiguous. The only real overlap is brain_graph vs brain_links, which both explore connections but one uses entity-relation triples and the other uses wikilinks.
All tools share the brain_ prefix with short single-word suffixes, making the set feel cohesive and scannable. However, suffixes mix verb forms (ask, forget, ingest, remember, search) with noun forms (graph, links, stats, wiki), so the pattern is not perfectly uniform.
Nine tools is a well-scoped size for a personal knowledge base server. Each tool covers a distinct operation and none feels redundant, while the count is small enough for an agent to navigate quickly.
The core memory lifecycle is covered well: create via brain_remember and brain_ingest, read via brain_search and brain_ask, delete via brain_forget, plus stats and wiki consolidation. The main gap is that brain_graph queries the knowledge graph but building/updating graph.json is left to an external CLI rather than an MCP tool.