Akb

Name: Akb
Author: dnotitia

by dnotitiaversion 2.0.4i★ –iRuns on your computer

Registry nameio.github.dnotitia/akb

Install

Overview

Description from the maker (original English)

Git-backed org memory for AI agents — hybrid search, tables, files & a URI graph over MCP.

PopNx MCP’s three pillars

These three are never merged into one score: opinions, measurements and popularity are different things.

User voiceiNo reviews yetReviews open together with accounts in a later step
Our basic checksi1 of 1 passedChecked from public information; code not scanned yet
UsageiNot measured yet★ –

What you can do with it

We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.

Connection: Runs on your computer
Transport: stdio
Category: Search & AI memory
You need to fill in: AKB_MCP_URL, AKB_PAT

Install

Pick the AI app you use, then copy the settings.

Before you install

Basic checks: 1 of 1 passed
Runs on your computer with your user’s permissions (files, network, apps).
You fill in yourself: AKB_MCP_URL, AKB_PAT

Values marked secret are keys to your account. Never share them or paste them into a chat.

You need

npmNode.js installed (for the npx command)

Which app do you use?

ClaudeClaude CodeCursorVS CodeChatGPT

Pick your app above. We remember it, so next time the button says “Install in …”.

Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json

{
  "mcpServers": {
    "akb": {
      "command": "npx",
      "args": [
        "-y",
        "akb-mcp"
      ],
      "env": {
        "AKB_MCP_URL": "your-value",
        "AKB_PAT": "your-value"
      }
    }
  }
}

Run this in your terminal

claude mcp add akb --env AKB_MCP_URL=your-value --env AKB_PAT=your-value -- npx -y akb-mcp

Fill in the empty values before running it.

Open in Cursor

Or copy the settings yourself

Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json

{
  "mcpServers": {
    "akb": {
      "command": "npx",
      "args": [
        "-y",
        "akb-mcp"
      ],
      "env": {
        "AKB_MCP_URL": "your-value",
        "AKB_PAT": "your-value"
      }
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

Open in VS Code

Or copy the settings yourself

Paste into .vscode/mcp.json in your project

{
  "servers": {
    "akb": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "akb-mcp"
      ],
      "env": {
        "AKB_MCP_URL": "your-value",
        "AKB_PAT": "your-value"
      }
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

This one runs on your computer, and ChatGPT can only connect to servers on the internet. Pick another app.

Your choice stays on this device in a cookie; no account needed.

Values you fill in

AKB_MCP_URL required env
Your AKB backend MCP endpoint, e.g. https://akb.example.com/mcp/ — or try the public demo at https://akb-demo.agent.seahorse.dnotitia.ai/mcp/
AKB_PAT secret required env
AKB Personal Access Token (akb_...). Create one in your AKB instance, or sign up on the public demo with any email to get one.

These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.

What it can do

Runs on your computer; the tool list appears in your AI app after you install it.

Basic checksi

We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 6, 2026

✓ Pass
Maker matches the repo
The registry name was verified with the GitHub account dnotitia, which owns the repo
… Not checked yet
Still maintained
We have not read this repo from GitHub yet
… Not checked yet
Has a licence
We have not read this repo from GitHub yet
– Not applicable
Endpoint responds
This one runs on your computer; there is no internet endpoint
– Not applicable
Sign-in with OAuth
Runs on your computer and uses local settings instead
… Not checked yet
No hidden instructions in tool descriptions
Runs on your computer; we can only read tool lists from internet endpoints

Compared with others in Search & AI memoryi

More stars than 0% of the other 7241 servers in this category
Published to the registry more recently than 15% of the other 7241 servers in this category
Basic checks equal to or better than 100% of the other 7241 servers in this category

Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.

Common questions

Is Akb safe?

It passed 1 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.

What keys or codes does it need?

You need to fill in: AKB_MCP_URL, AKB_PAT

Does it run on my computer or in the cloud?

It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).

Is it still maintained?

The GitHub repo last changed –, and the latest version (2.0.4) reached the registry 5 months ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Node.js on your computer.

What can I use instead?

In the same category: Context7, Codebase Memory, Exa

Alternatives

Servers in the same category from other makers, sorted by stars.

Reading a card:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi

Context7

by upstash

Feeds AI the latest docs for libraries and frameworks before it answers, so code it writes does not use outdated, removed functions.

Computer or cloud★ 64,224MITUpdated 3 days ago

Install

Codebase Memory

by DeusData

Codebase knowledge graph for AI agents — 162 languages, sub-ms queries, 99% fewer tokens.

Runs on your computer★ 48,148MITUpdated 20 days ago

Install

Exa

by exa-labs

Connect AI agents to Exa for web search, content fetching, and multi-step research.

Runs in the cloud★ 5,213MITUpdated 44 days ago

Install

README from the maker

Open the README

Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.

AKB — Agent Knowledge Base

Organizational memory for AI agents. PostgreSQL-native knowledge base served

over the Model Context Protocol (MCP) — agents read and write directly

with hybrid semantic + keyword search, structured tables, files, and a URI

graph. Drop-in alternative to Confluence / Notion for Claude Code, Cursor,

Windsurf, and any MCP-aware agent.

Works with

Any agent client that speaks MCP (Streamable HTTP or stdio):

Claude Code — CLI / VS Code / JetBrains
Claude Desktop — macOS / Windows
Cursor, Windsurf, Cline, Continue — via the akb-mcp stdio proxy
Custom agents — direct HTTP POST /mcp/ with a Bearer token

The default flow uses a Personal Access Token. Deployments with the optional MCP OAuth Resource Server path turned on (via Keycloak as the AS — see docs/mcp-clients/web-connectors.md) also accept Claude Code's mcp add --transport http + mcp login flow end-to-end, without a PAT.

MCP protocol compatibility

AKB keeps one tool and authorization core behind two protocol adapters:

Surface	Modern	Legacy
Direct HTTP `/mcp/`	`2026-07-28` stateless `server/discover` and per-request `_meta` with `Mcp-Protocol-Version` / `Mcp-Method` (and `Mcp-Name` for named calls)	`2024-11-05`, `2025-03-26`, `2025-06-18`, `2025-11-25` initialize, stateless requests (no `Mcp-Session-Id` lifecycle)
`akb-mcp` stdio proxy	`2026-07-28` discovery and per-request metadata	`2025-06-18` initialize

The proxy answers either handshake locally and normalizes backend calls to the modern stateless contract when available. For older backends without modern discovery, the proxy can fall back to legacy initialization and retain a session ID if that older server returns one. The current backend runs both adapters statelessly. A process cannot mix generations, and unsupported revisions or conflicting protocol evidence fail closed before a tool or local-file operation runs.

Plugins

Beyond raw MCP access, AKB ships ready-made agent plugins for Claude Code and Codex that wrap common vault workflows:

akb-wiki — ingest a source (local file, web URL, GitHub PR / release / commit, Confluence page, or Jira issue) into the vault as a structured document, and answer questions from the vault with grounded, cited synthesis (read-only).
akb-sessions — capture a coding session as structured notes: a session report plus follow-up tasks, learnings, ideas, and decisions.
akb-claude-code — a Claude Code lifecycle bridge: hooks anchor each session to your AKB memory vault, injecting preferences and recent learnings at the start and writing a recap at the end.

/plugin marketplace add dnotitia/akb        # Claude Code

codex plugin marketplace add dnotitia/akb # Codex

Install details and credentials: plugins/.

Try it live

A public demo runs at [akb-demo.agent.seahorse.dnotitia.ai](https://akb-demo.agent.seahorse.dnotitia.ai). Browse and search a small fictional-organization knowledge base — product docs, a company handbook, agent session notes, and an engineering wiki, cross-linked by the URI graph — right in your browser, no signup. To wire it into your own agent, sign up with any email (a throwaway address is fine) and point the akb-mcp proxy at https://akb-demo.agent.seahorse.dnotitia.ai/mcp/.

⚠️ Throwaway demo. It is public, wiped and re-seeded weekly, and runs on

minimal resources with no uptime, privacy, or data guarantees. Don't put

anything real or sensitive in it — treat every write as public and ephemeral.

For real use, self-host with Docker Compose or Kubernetes.

Why AKB

Most knowledge tools are built for humans clicking through a UI. Agents need a different shape: structured documents, semantic + keyword search in one call, explicit relations, and full version history. AKB gives agents a single set of tools (akb_put, akb_search, akb_browse, akb_relations, …) over a PostgreSQL-native revision store and hybrid index. Explicit Bare Git installations remain supported for existing deployments.

Retrieval quality

Memory is only useful if the right note comes back. AKB's hybrid retrieval (dense + BM25, source-level dedup) was benchmarked on LongMemEval-S — 500 long-context questions, ~50 chat sessions per question. Recall@5 = 98.4%, with no reranker in the loop.

System	R@5	n	Reranker	Source
AKB hybrid	98.4%	500	no	this repo
MemPalace hybrid + rerank	98.4%	450	yes	MemPalace
gbrain hybrid	97.6%	500	no	gbrain-evals
gbrain vector	97.4%	500	no	gbrain-evals

Methodology, per-category breakdown, and a one-command reproducible harness live in eval/longmemeval/. The embedding model differs across systems (AKB: bge-m3@1024), so read this as a stack-level comparison.

Design philosophy

Core stays small; flexibility comes from extension, not built-in automation. AKB does not ship its own consolidator, summariser, or "knowledge gardener" — instead every write records a structured event in the PostgreSQL outbox. When redis_url is configured, the publisher fans those events out to a Redis Stream (akb:events). Operators wire any external consumer (periodic synthesis bot, doc-rot reaper, weekly-digest agent, audit trail, …) on top, with no patches to the core. The base contract is a read/write store; opinions about *what to do with* the knowledge live outside.

Architecture

┌──────────────────────────────────────────────────────────┐

│ Access Layer │ │ MCP Server │ REST API │ Web UI │ ├──────────────────────────────────────────────────────────┤ │ Core Services │ │ Document (Put/Get) │ Search (Hybrid: dense+BM25) │ │ Relations (graph) │ Session │ Publications │ ├──────────────────────────────────────────────────────────┤ │ Storage Layer │ │ Native revisions │ PostgreSQL 16 (text + meta SoT)│ │ │ Vector store (driver): │ │ │ pgvector (default, PG)│ │ │ qdrant (optional) │ │ │ seahorse-cloud (managed) │ │ │ seahorse-db (self-hosted)│ │ │ seahorse-db-grpc(experimental)│ └──────────────────────────────────────────────────────────┘

PostgreSQL is the source of truth — chunk text + metadata + BM25 vocab. The vector store is a driver-pluggable derived index holding dense embeddings and corpus-side sparse vectors. Full vector-store loss is recoverable from PG by setting chunks.vector_indexed_at = NULL and letting the indexing worker re-populate.

Key Concepts

Vault — The unit of access control and knowledge organization. Native revisions live in PostgreSQL; the legacy backend uses one bare Git repo per vault.
Collection — A directory inside a vault. Topical grouping of documents.
Document — Markdown + YAML frontmatter, optimised for agent read/write.
Hybrid Search — Dense (semantic) + BM25 (lexical) fused via RRF in one call.
Relations — depends_on, related_to, implements in frontmatter form an explicit knowledge graph.
Vault isolation in `akb_sql` — Enforced by PostgreSQL ACL. Each AKB user has a corresponding PG role (akb_user_ ) and each vault has three group roles (akb_vault_ _{reader,writer,admin}). akb_sql runs the user's SQL inside a transaction with SET LOCAL ROLE; cross-vault references return PG 42501 directly. No application-side regex inspects user SQL for forbidden identifiers. See docs/designs/pg-native-rbac/.

MCP Tools (selection)

Tool	Description
`akb_list_vaults` / `akb_create_vault`	Vault management
`akb_put` / `akb_get` / `akb_update` / `akb_delete`	Document CRUD (revision + indexing)
`akb_put_file` / `akb_get_file` / `akb_update_file` / `akb_delete_file`	File attachments — proxy-side (requires local filesystem)
`akb_put_image` / `akb_discard_image`	Validated inline Markdown images — proxy-side in `akb-mcp` 2.2+
`akb_create_table` / `akb_alter_table` / `akb_drop_table` / `akb_sql`	Tabular content — per-doc tables + SQL
`akb_browse`	Tree traversal (collection → docs)
`akb_search` / `akb_grep`	Hybrid search (dense + BM25) / literal grep
`akb_drill_down`	Section-level retrieval
`akb_relations` / `akb_link` / `akb_unlink` / `akb_graph`	Knowledge graph
`akb_edit` / `akb_diff` / `akb_history`	In-place edit, diff, revision history
`akb_grant` / `akb_revoke` / `akb_set_public`	Permission boundaries — per-user, per-org, public
`akb_publish` / `akb_unpublish`	Public publication

Agent memory and session lifecycle are not MCP tools — they live on the dedicated /api/v1/agent-sessions REST surface, driven by AKB lifecycle plugins (akb-claude-code, akb-cursor, …) that hook into the agent's own SessionStart / PreCompact / SessionEnd events. As an agent, your own memory vault (agent-memory-{username}) is browsable through the standard akb_search / akb_browse / akb_get tools exactly like any other vault.

The full tool catalogue is exposed via akb_help() from any MCP client.

Inline document images from MCP

Inline images are hidden document attachments, not browsable Files. Upload a local PNG, JPEG, GIF, or WebP (maximum 10 MiB), then insert the returned Markdown without reconstructing its asset URL:

image = akb_put_image(

parent="akb://eng/coll/specs", file_path="/workspace/architecture.png", alt_text="Request processing architecture")

akb_put( parent="akb://eng/coll/specs", title="Request Processing", content="# Architecture\n\n" + image.markdown)

For an existing document, use akb_get followed by a targeted akb_edit(base_commit=...). Do not pass only the image fragment to akb_update(content=...), which replaces the complete body. Image bytes are immutable: replacing an image means uploading a new one and editing the Markdown reference. Remove an image by deleting its Markdown expression; use akb_discard_image only for an upload that never reached a successful document commit. Run akb_help(topic="images") for retention and publication behavior.

The image tools require both the matching backend release and akb-mcp 2.2 or newer. For upgrades, deploy the backend first, then publish/install the proxy and restart existing MCP processes so they load the updated tool list.

Document Format

Every vault resource has a location-aware AKB URI — the canonical handle used by every tool and stored in relations. As of 0.3.0:

akb://{vault}                                          vault root (browse target)

akb://{vault}/coll/{coll_path} collection (browse target) akb://{vault}[/coll/{coll_path}]/doc/{filename} doc

Only the beginning is shown; read the rest in the repo

Akb

Overview

PopNx MCP’s three pillars

What you can do with it

Install

Before you install

Values you fill in

What it can do

Basic checksi

Maker matches the repo

Still maintained

Has a licence

Endpoint responds

Sign-in with OAuth

No hidden instructions in tool descriptions

Compared with others in Search & AI memoryi

Common questions

Alternatives

Context7

Codebase Memory

Exa

README from the maker

AKB — Agent Knowledge Base

Works with

MCP protocol compatibility

Plugins

Try it live

Why AKB

Retrieval quality

Design philosophy

Architecture

Key Concepts

MCP Tools (selection)

Inline document images from MCP

Document Format