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  1. Home
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  3. Cambium
Cambium logo
Health: ActiveRecent health check succeeded.Last checked 9/7/2026, 8:43:31 PM

Cambium

User RatingsBe the first to rate and review this MCP server! Enrichment pendingWe haven’t run our AI enrichment pass on this listing yet, so the overview, use cases, and FAQ below may be sparse or missing. We work through the catalog over time β€” check back soon.
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Knowledge-lifecycle MCP: turn agent work into memory, recall it across projects, promote to org.

Quick Install

Automated & IDE Setup

Copy the AI prompt to install this server into Claude Code, Cursor, or another agent β€” or use 1-click editor setup below.

Add to CursorAdd to VS Code
Manual Client & Custom JSON ConfigExpand JSON β–Ύ

Client Config & Setup

Choose your client or environment
Target File:~/Library/Application Support/Claude/claude_desktop_config.json
claude_desktop_config.json
{
  "mcpServers": {
    "cambium": {
      "command": "npx",
      "args": [
        "-y",
        "cambium"
      ]
    }
  }
}

πŸ’‘ Paste the JSON block into your client's configuration file under mcpServers, then restart the application.

Install Directory Badge Claim listing Alternatives🧠 More in Knowledge & Memory

Documentation Overview

cambium

Part of the xylem stack.

The knowledge-lifecycle MCP that turns work your agents already did into compound, org-wide knowledge. cambium bridges two substrates that already exist β€” agentsync (what happened: claims, finishes, notes, changed files) and context-keeper (why: decisions, constraints) β€” and adds the three things neither has:

  1. distill() β€” turn events into memory automatically (passive capture)
  2. recall() β€” one federated read endpoint for every agent type (coding agent, Slack KB bot, SRE bot β€” same store, same call)
  3. promote() β€” graduate knowledge local β†’ team β†’ org as it earns trust

Named for the cambium layer of a tree: the thin living tissue where all growth happens.

Why a third MCP (and not a database)

Knowledge layers fail because they're a side system nobody calls. cambium's bet: capture and recall must be native tools in the agent's loop, and state must live in the substrate the work already lives in β€” git β€” not a separate service. Storage is an implementation detail behind recall():

ScopeLives inTrust gate
local<repo>/.cambium/knowledge.jsonnone β€” it's yours
teamknowledge.json on a dedicated cambium branch of the shared reporecalls β‰₯ N or an endorsement
orgknowledge.json in a dedicated org knowledge repoan endorsement required; optionally lands as a pull request β€” review is the gate, git revert is the undo

Team writes use the agentsync pattern: a private worktree under .git/ and git push as compare-and-swap, so concurrent agents never clobber each other.

Install

Terminal
pip install -r requirements.txt      # just `mcp`

gh (GitHub CLI) is only needed for pull-request-mode org promotion.

Configure

Point an MCP client at the server β€” no env required to start:

config.json
{
  "mcpServers": {
    "cambium": {
      "command": "python3",
      "args": ["/abs/path/to/cambium_server.py"]
    }
  }
}

First contact is helpful, not cold. MCP servers can't start a conversation, so cambium teaches you through its own responses. Call status() (or any tool) before it's configured and instead of a bare env error you get structured guidance β€” what's set, what's missing, what each gap costs in plain terms, and the exact setup() call that fixes it:

JSON Config
{
  "configured": false,
  "gaps": [
    {"setting": "CAMBIUM_REPO",
     "cost": "no project repo β†’ cambium has no substrate; every tool is unavailable",
     "fix": "setup(project_repo=\"/abs/path/to/your/clone\", agent_id=\"your-id\")"},
    {"setting": "CAMBIUM_ORG_REPO",
     "cost": "org scope off β†’ promotions stop at team; org-wide recall unavailable",
     "fix": "setup(project_repo=…, agent_id=…, org_repo=\"owner/knowledge or /abs/path/to/clone\")"}
  ],
  "next_step": "setup(project_repo=\"/abs/path/to/your/clone\", agent_id=\"your-id\")"
}

setup(project_repo, agent_id, org_repo?, org_pr?, team_branch?) finishes the job: it validates the paths, scaffolds .cambium/ (and adds it to the repo's .gitignore), and writes a fallback config at ~/.cambium/config.json that the server reads when env vars are absent. It takes effect immediately β€” no restart. No secrets are written: the file holds only paths, ids, and flags, and lives outside any repo. If org_repo is a GitHub owner/name you haven't cloned locally, setup offers the exact gh/git commands to stand it up and leaves org scope off β€” it never creates or pushes a repo for you.

Env still wins. Any of the variables below, set in the MCP client config, overrides the config file per-key β€” the table is the full reference layer:

env varrequireddefaultmeaning
CAMBIUM_REPOyesβ€”your project clone (local scope, agentsync + context-keeper substrates)
CAMBIUM_AGENT_IDyesβ€”your unique agent id
CAMBIUM_REMOTEnoorigingit remote
CAMBIUM_GIT_TIMEOUTno25per-invocation git/gh timeout (seconds) so a stuck call fails fast instead of hanging the server
CAMBIUM_TEAM_BRANCHnocambiumteam-scope branch
CAMBIUM_AGENTSYNC_BRANCHnoagentsynccoordination branch name distill reads
AGENTSYNC_BOARD_REPOno*β€”which repo holds the board β€” the same setting agentsync reads, so the two servers cannot disagree (see below)
CAMBIUM_ORG_REPOnoβ€”path to the org knowledge repo clone (org scope off without it)
CAMBIUM_ORG_PRnodirect push1 = org promotion opens a pull request
CAMBIUM_PROMOTE_RECALLSno3recalls needed for local→team
CAMBIUM_RELEASE_CAPTUREnooff1 = also capture agentsync claims at their done/released transition (see below)
CAMBIUM_CONFIG_FILEno~/.cambium/config.jsonoverride the fallback config path (mainly for tests)

Where the agentsync board lives (board addressing)

* distill() reads finished agentsync claims off a coordination board. That board is a shared, long-lived team artifact β€” not a property of whichever project this session happens to be in β€” so cambium resolves its address independently of the session, using exactly the order agentsync itself uses:

  1. AGENTSYNC_BOARD_REPO β€” the explicit board address (env, or the same key in ~/.cambium/config.json). One setting configures both servers.
  2. AGENTSYNC_REPO β€” agentsync's legacy explicit pin.
  3. CAMBIUM_REPO β€” but only if that repo actually holds the coordination branch (real ref lookup: local head β†’ remote-tracking ref β†’ ls-remote).
  4. Otherwise: no board, reported loudly (next section) β€” never silently.

Why. Before this, cambium looked for the coordination branch in CAMBIUM_REPO while agentsync (unpinned) followed ~/.xylem/active_project.json. The two could point at different repos, and whenever the current project had never been provisioned neither found anything. distill() reported that as the bland string "no coordination branch found", callers treated it as normal, and the result was that distill imported zero agentsync claims across its entire lifetime β€” a three-legged design silently running on two legs.

A skipped source does not look like a completed one

distill()'s return now makes a miss impossible to read as a success:

  • top-level status becomes "distilled_with_warnings" (not "distilled");
  • top-level warnings carries a plain-language line per skipped substrate;
  • sources.agentsync is an object β€” {status, board_repo, board_source, branch, claims_seen, done_claims, imported, reason, fix} β€” so "there is no board", "the board is here and nobody has finished anything", and "imported 3" are three visibly different results rather than one empty number.

status() reports the same under substrates.agentsync_board.

Org setup: create one (private) repo, e.g. github.com/you/knowledge, with an empty {"items": []} in knowledge.json; everyone who should read org knowledge clones it and points CAMBIUM_ORG_REPO (or setup(org_repo=…)) at their clone. cambium manages that clone (it hard-syncs it) β€” dedicate it, don't work in it.

Tools

capture(content, type, kind, why, tags, valid_while) β€” save a knowledge item to local scope (types: memory | need | skill). Manual path. valid_while optionally names the premise the item depends on, so a dead assumption is spottable later (see Machine-maintained documentation entropy).

record_need(content, why, tags) β€” first-class needs ("we're missing X"), promotable like anything else so recurring wants surface at team/org level.

distill() β€” the automatic path. Reads agentsync's coordination branch (every currently done claim: task + note + changed files β†’ an outcome memory) and context-keeper's .context/ (active decisions & constraints, rationale and dec-NNN provenance preserved). Idempotent β€” wire it to a session-end or post-commit hook and capture becomes passive.

Release-time capture (opt-in, CAMBIUM_RELEASE_CAPTURE=1). agentsync keys claims by agent id and deletes a claim from live state the instant it is released or re-claimed β€” it exposes no hook or event, only the rewritten claims.json on the branch. So a claim that completes and then churns before a full distill runs against it is silently lost. With the flag on, each distill also remembers the last-seen claim per agent and captures any that has churned away since the previous run β€” reconstructing it from that snapshot, through the same dedupe watermark, so a claim captured at release time and again in a later full distill never double-imports. Fire distill() on completion events (a post-commit / session-end hook) and completed work is captured at its transition instead of only when a distill happens to catch it live.

What this is not: it is passive capture at the moments distill runs, not exhaustive reconstruction. The guarantee is precise β€” if a distill sweep observes a claim while it is done (or carries a note), that knowledge is captured even if the claim later churns. The residual gap: a done state that is created and churned away entirely between two sweeps (e.g. cambium wasn't running) is never observed, and only agentsync's git log still holds it. Walking that log to reconstruct such claims exhaustively is a possible follow-up (the history survives β€” agentsync's history() reads it), deliberately left out of this change.

import_memory(source, path) β€” ingest an external memory export into cambium as local-scope, provenance-tagged knowledge items (see Import below). Read-only against the source; imported items are not auto-promoted.

Read the full README β†’View source on GitHub β†’

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Reviews

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Frequently Asked Questions about Cambium

Add the following block to your claude_desktop_config.json under mcpServers: "mcpServers": { "cambium": { "command": "npx", "args": ["-y", "Cambium"] } }

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Technical Specs & Signals

Category🧠Knowledge & Memory
More technical detailsExpand β–Ύ
TransportSTDIO
RuntimeNode.js
Last updatedSep 7, 2026
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29Quality signal: Emerging Β· 29/100How this signal is calculated β–Ύ
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Not scored for repo-hosted servers β€” we can't reach the running server, only its GitHub page. Hosted MCP endpoints are health-checked live.

Verified ownership10/20
Documentation & tools11/30
Adoption & activity1/15
Community engagement0/10

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