epsilongraph
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- AlicenseAqualityBmaintenanceTurns a plain-Markdown Obsidian vault into a second brain that any MCP-speaking coding agent can search, read, extend, and maintain, using swappable SQLite, Qdrant, or markdown memory backends with automatic re-indexing and wiki-link graph navigation. Exposes read, write, and index tools plus an operator CLI for health, linting, and graph export.12MIT
- AlicenseBqualityAmaintenanceLocal-first agentic knowledge layer over Obsidian notes, enabling MCP-aware agents to search, retrieve, and compile knowledge with provenance and task contracts.3711 npmMIT
- AlicenseNot gradedqualityAmaintenanceEnables LLM clients to read, search, and write to a local Obsidian vault over MCP, with full-text search, vault analytics, health scoring, and policy-enforced file operations.MIT
- AlicenseNot gradedqualityDmaintenanceLocal-first knowledge backend for AI agents that connects MCP hosts to an Obsidian-compatible vault with indexed retrieval, token-budgeted memory recall, and secure ingestion.1MIT
- FlicenseBqualityBmaintenanceParses an Obsidian vault and exposes structured context (notes, blocks, tasks, headings) through MCP tools, enabling AI clients to query and reason over local markdown notes.19-
- FlicenseNot gradedqualityBmaintenanceServes as a unified MCP gateway to an Obsidian vault, enabling AI agents to perform hybrid lexical/vectorial semantic search, explore note graphs, and write through consent-based intent batches with conflict detection.-
TDQS
Scored across 10 tools
Most tools target clearly distinct operations (search, get, pack, neighbors, skeleton, stats, gaps). However, vault_load_bearing vs vault_impact both compute falsification/blast radius (global ranking vs per-note transitive closure), and vault_claim also surfaces blast radius, so an agent could conflate these three. The rich descriptions mostly resolve the overlap, but the boundaries are not as crisp as they could be.
Every tool uses the same vault_ prefix followed by a single descriptive noun (search, get, pack, neighbors, skeleton, stats, gaps, claim, impact, load_bearing). The convention is uniform snake_case throughout with no mixing of styles or verb forms.
Ten tools is well-scoped for a knowledge-vault query and analysis server, with each tool earning its place across retrieval (search, get, pack), structure (neighbors, skeleton), and epistemic analysis (claim, impact, load_bearing, gaps, stats). Nothing feels redundant or padding.
The read/analysis surface is comprehensive: retrieval, structure, provenance, epistemic state, and impact are all covered, plus a session-level skeleton and stats. The one notable gap is that descriptions repeatedly reference editing and changing notes, yet no mutation tool (edit/update) exists in the set, leaving a workflow dead-end if agents are meant to act on the vault.