MCP.Market

Kumbuka MCP server

online · 100% uptime
by kumbuka.ai·ai.kumbuka/kumbuka-server·v1.0.1·1 stars

Governed, auditable knowledge your team curates for its AI assistants, self-hostable

A93/100grade A
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Safety scan
A93/100

full report

Adoption
Growing

1 stars

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Kumbuka tools

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Public scan report

scanner v0.1.9 · 2026-09-26 · same rubric, same numbers if you re-run it

no findings
  • –Code scanremote-only server, no package to scann/a
  • Live reliabilityremote reachable in 534ms (auth required)20/20
  • –Tool poisoningtools not inspected (endpoint requires auth); not countedn/a
  • Auth qualityOAuth resource metadata advertised on 40115/15
  • Maintenancelast push 2 days ago15/15
  • Maintainer identitynamespace and repository owner differ; website matches verified namespace6/10
Overall 93/100. Components that don't apply are left out of the denominator. Any critical finding is an F.RubricAppeal a findingJSON

How Kumbuka compares

Against every graded MCP server, from our own scans and uptime checks. Updated after each scan run.

Safety score
93/100
higher than 96% of 48,255 servers
Uptime
100%
of our recent checks; the typical remote server answers 100%
Response time
89 ms
faster than 86% of 30,031 servers
GitHub stars
1
more than 65% of 28,688 servers

Install Kumbuka in Claude Code, Cursor or VS Code

claude mcp add --transport http kumbuka-server https://mcp.kumbuka.ai/mcp
Add to Cursor

What the publisher says

From the Kumbuka repository's README, as published. We do not edit it. Read it on GitHub

kumbuka

Shared, persistent memory for AI assistants working with a team — served over MCP, curated through an admin console, with a private space that stays private.

Status: pre-beta. kumbuka is in active development. The architecture and

data model are settled and the private-memory guarantee is a hard design

constraint, but the project is not yet a hardened, shipped product. Expect

rough edges and breaking changes.

kumbuka is Swahili — the imperative "remember!". The project lives at kumbuka.ai.

The problem: the context tax

AI assistants are stateless between sessions. A team using them pays the same toll over and over — re-explaining the things that should simply be known:

  • "We use Postgres as the system of record."
  • "Money is integer minor units, never floats."
  • "Service names are kebab-case."

That steering knowledge — the decisions, conventions, and constraints that shape how an assistant should work — is exactly what an assistant ought to remember and apply without being told again. Today it lives in people's heads and in scattered chat history, so every new session starts from zero.

What kumbuka is

kumbuka makes that knowledge a first-class, team-owned asset. It gives a team a durable, shared place for the rules an assistant should carry across conversations, and serves them to any MCP-capable assistant (Claude and others) over a remote MCP server. A web admin console lets the team curate the shared memory.

It is deliberately not a document store or a RAG index. kumbuka holds work-steering knowledge — a small, typed set of decisions, conventions, constraints, definitions, open questions, and status — not a copy of your docs or source, which stay in their own systems.

on, instead of each person accumulating an opaque, divergent context.

  • Shared and curatable — the team sees and edits what the assistant relies

endpoint.

  • Portable — any MCP-capable assistant reads and writes it through one

rather than letting it sprawl.

  • Bounded — a fixed taxonomy and explicit scopes keep the memory legible

The private-memory guarantee

A member's private memory is theirs alone. It is reachable only by them,

only over their own authenticated MCP session. **No admin, no console screen,

and no team-facing API can read it.**

This is the backbone of the product, not a feature flag. It is enforced at the data-access layer — the privileged (admin/console) code paths have no route that can return private rows — not by a configuration toggle that could be flipped. Disabling a member suspends their account but leaves their private memory untouched and theirs.

See the Security & privacy guide for how this is structurally enforced.

Quickstart (self-host the Community Edition)

Shortened. The full README is on GitHub.

Nothing above is checked by us. What we check is on the safety report.

Kumbuka: common questions

Is Kumbuka MCP server safe?
Yes, by our scan: it is graded A (93/100). Read the Kumbuka safety report
How do I install Kumbuka?
It runs remotely at mcp.kumbuka.ai. Add it to Claude Code, Cursor, VS Code or Claude Desktop with the snippets above, or call it through the mcp.market gateway without installing anything.
Does Kumbuka need an API key?
No key to paste: it signs you in with OAuth when your client connects.
Is Kumbuka maintained?
The last commit was 41 days ago (2026-09-24). The latest release is v1.0.1.
Is Kumbuka up?
100% of our last 28 checks got an answer. We check remote servers about four times a day.
How does Kumbuka compare with other MCP servers?
safety score 93/100 (higher than 96% of 48,255 servers); uptime 100% (of our recent checks; the typical remote server answers 100%); response time 89 ms (faster than 86% of 30,031 servers). Full comparison.