Memory and knowledge · MCP server
Akb: MCP server, setup and security
Akb is an MCP server published on GitHub that lets an AI agent search organizational knowledge across linked Markdown documents, tables and files. Its repository has 163 stars and its last commit is from October 23, 2026, but it declares no licence.
| Adoption (stars) | 22/40 | |
|---|---|---|
| Maintenance | 30/30 | |
| Framework (licence, registry, official) | 10/30 |
What Akb does
According to its repository: “Organizational knowledge base: Markdown docs, PostgreSQL tables and files linked by a URI graph, with hybrid search, Git history and multi-tenant ACLs.”
An MCP server gives an AI agent extra tools it calls during the conversation: the agent reads their description, decides to use them and gets the result back. Akb is listed under Memory and knowledge, a category of 250 servers in the directory, where it ranks #59 by stars.
Topics declared by the repository: agent, claude, claude-code, fastapi, knowledge-base, knowledge-graph.
Installing and connecting Akb
Distribution modes declared in the official MCP registry:
- npm package (Node.js, usually started with
npx)
Like any MCP server, you declare it in your client's configuration (Claude Desktop, Claude Code, Cursor, VS Code, Codex…): a name, the command that starts it or its URL, and any environment variables. The client then starts it and lists its tools. Project language: Python, TypeScript. Listed systems: macOS, Windows, Linux.
The registry lists one secret variable to provide (API key, access token). Keep them in the client's environment variables, never in a shared file or a repository.
Security: what to check
An MCP server runs code with the rights you give it, and the model reads its tool descriptions: a malicious or compromised server can hijack the agent. Read the code, or pick a maintained and widely used server, before connecting it.
Points found for Akb:
- Secrets: the server acts with your credentials. Create a dedicated key with minimum rights and an expiry date.
- No licence: without a licence the code is not legally reusable, even if it is public. Avoid it in a company setting without the author's agreement.
Good practice: grant only the rights needed (least privilege), require human approval for irreversible actions, and run the AI agent security check.
Project activity and maintenance
Created on May 7, 2026, the dnotitia/akb repository has 163 stars and 11 forks, with 10 open issues. It has more stars than 74% of the servers in the directory. It received changes this month. Version published in the registry: 2.0.4 (June 6, 2026).
Stars measure attention, not quality: a recent, heavily promoted project can collect them fast, while a useful but niche server will have few.
Verdict
Akb is a reasonable choice; check the points below before connecting it.
Strengths
- Active project: recent commit
- Listed in the official MCP registry
Limitations
- Requires an API key or token
- No licence declared
Avoid if…
- Company use without the author's agreement
- You do not want to give credentials to an agent
Alternatives
- Context763.6K ★
- Basic memory4.3K ★
- Hindsight53.4K ★
- Cognee32.7K ★
- Skill Seekers15.2K ★
- Honcho7.8K ★
Learn more
Frequently asked questions
How do I install Akb?
Akb is distributed as npm package (Node.js, usually started with npx). Add it to your client's MCP configuration (Claude Desktop, Cursor, VS Code…) following the README of dnotitia/akb.
Is Akb free?
The code is public but has no declared licence: it is not formally free to reuse. It needs an API key: the service it connects to may be paid.
Is Akb safe?
Points to watch: secrets and no licence. Give it minimum rights and approve sensitive actions.
Is it an official server?
Nothing says so: it is a project published by dnotitia on GitHub. Check who maintains it before giving it access.
What are the alternatives to Akb?
In the same category: Context7, Basic memory, Hindsight, and Cognee. Context7 and Basic memory score higher on our grid.
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Neutrality. No affiliate links. No vendor pays to be reviewed, rated or ranked. Reviews are directed by François Chollet, neutral and factual, and every data point is dated and sourced. How we score