akb
Related Servers
Alternatives to akb
No user-submitted related servers found.
Related Servers
- AlicenseNot gradedqualityCmaintenanceLocal-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
- AlicenseNot gradedqualityAmaintenanceEnables AI agents to persist, search, and evolve knowledge through a Markdown vault with a typed knowledge graph and MCP interface.15Apache 2.0
- AlicenseNot gradedqualityAmaintenanceLocal-first, file-based memory layer for AI agents — one shared Markdown vault across Claude, Codex, Gemini, Cursor and any MCP client. Provides read/write memory tools with an audit trail, per-agent trust levels, and Git sync; no cloud and no lock-in.2MIT
- AlicenseNot gradedqualityBmaintenanceGoverned knowledge base for AI agents via the Model Context Protocol (MCP), enabling agents to search, read, and contribute persisted knowledge with versioning, audit trails, and approval workflows.25 npmMIT
- AlicenseNot gradedqualityBmaintenanceDurable memory with sources, proof, history, and review for MCP-capable agents. It turns a Markdown/Obsidian vault into a local knowledge substrate, enabling agents to store, search, and retrieve governed knowledge.3,213 PyPI10AGPL 3.0
- FlicenseNot gradedqualityBmaintenanceMCP server for a shared Postgres-backed knowledge base with hybrid retrieval and agentic RAG, enabling coding agents to upload, search, and ask questions over documents with cited answers.-
TDQS
Scored across 50 tools
The resource-specific variants (put/put_file/put_image, get/get_file, delete/delete_file/delete_collection/delete_vault, update/update_file/edit) have overlapping verbs and could be misselected without close reading, but the descriptions carefully distinguish semantic search from grep, document content from file bytes, and vault-scoped activity from per-document history. Overall, an agent can disambiguate with effort, but the boundaries are not immediately obvious from names alone.
All 50 tools use a consistent akb_ + snake_case verb_noun pattern (list_vaults, create_table, delete_file) with only a few bare verbs (put, get, update, delete, sql, grep) that still fit the naming system. There is no mixing of conventions or unpredictable style.
At 50 tools this is a very large surface even for a comprehensive knowledge-base server; the count dimension explicitly treats 25+ as too many. The breadth of domains (vaults, docs, tables, files, graph, publications, access) explains some of the size, but the surface could be consolidated (e.g. file/image variants, publication helpers).
The server covers the full lifecycle for vaults, documents, tables, files, collections, access control, publications, and import/export, plus search, graph, history, and help. Minor gaps exist—no vault metadata/rename tool, no collection rename, and table row management is only via raw SQL—but they are workable.