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Health: ActiveRecent health check succeeded.Last checked 9/8/2026, 12:46:46 AM

Plexus

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.
View Repository

Typed on-prem knowledge graph for AI agents β€” read-only for humans, write-only for agents via MCP.

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

Remote HTTP
Choose your client or environment
Target File:~/Library/Application Support/Claude/claude_desktop_config.json
claude_desktop_config.json
{
  "mcpServers": {
    "plexus": {
      "url": "https://pcas.io"
    }
  }
}

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

Install Tool Schemas (15) Directory Badge Claim listing AlternativesπŸ’» More in Developer Tools

Capabilities & Tool Schemas (15) ~189 tokensApproximate context cost of this server’s tool schemas (~4 chars/token), before any tool is called. Actual usage depends on your client and model.Self-reported Self-reportedParsed from the repository README, not verified against a live server β€” may be incomplete or out of date.

Inspect callable tools, capabilities, and parameters exposed to AI agents by Plexus.

save_entity

Create a new entity

get_entity

Fetch a single entity by id

list_entities

List with filters (kind, context, status)

search_entities

BM25-ranked full-text search with optional highlighting

update_entity

Update with optimistic locking (`expected_version`)

archive_entity

Soft-delete (status β†’ archived)

Documentation Overview

plexus (_graph)

A typed, on-prem knowledge graph for AI agents. Read-only for humans, write-only for agents, spoken over the Model Context Protocol.

Part of the pcas.io product line.

License Node CI

plexus graph view β€” Apollo-program demo graph


TL;DR

Knowledge management has been a document sport for twenty years β€” folders, notes, wikis, editor wars. plexus inverts that.

In plexus, every piece of information is a typed entity β€” concept, decision, fact, project, task, document, skill, … β€” with hard, temporally-valid edges between them. No free-form text, no forgotten tags, no "I'll clean that up later." Writing and linking happen exclusively through MCP β€” from your agent. The dashboard shows you the graph; it has no edit buttons.

That gets you three things:

  1. Your agent doesn't have to ask you β€” it just builds, with strict kind-and-relation discipline.
  2. The graph never goes stale, because lint, supersede, and provenance are part of the workflow.
  3. You can share a single idea, not your graph β€” passkey-gated one-shot links that burn on first click.

Runs in Docker Compose on your own hardware. Apache-2.0 licensed.

Think of it as a wiki, but for LLMs

Traditional wikis are built for human readers: free-form prose, hand-curated links, a tree of pages that rots the moment you stop grooming it. Put an LLM in front of one and the first thing the LLM does is ask you to summarise it.

plexus reverses the audience. The LLM is the reader and the writer. Each page is a typed record instead of a paragraph, each link is a named relation instead of a hyperlink, and each edit is an atomic MCP call instead of a markdown diff. The UI shows you the same graph your agent sees β€” but your agent does the curation.

This is the same pattern Andrej Karpathy sketched in his "The LLM wiki" gist (April 2026, 5000+ stars): instead of stateless RAG against raw documents on every query, an LLM compiles knowledge into a structured, cross-referenced wiki once and keeps it up to date. plexus is that pattern on infrastructure:

Karpathy's LLM wikiplexus
Raw sources (unchanging)External documents the agent reads with web_fetch, file I/O, …
Wiki (typed markdown, curated)Typed entities + named edges in a graph the agent writes via MCP
Schema (conventions in CLAUDE.md / AGENTS.md)list_kinds + list_relations registries, enforced at the MCP boundary
ingest β†’ compile β†’ reflect β†’ query β†’ lintsearch_entities β†’ save_entity / update_entity β†’ link_entities β†’ get_related β†’ lint_graph

Karpathy calls the gist an "idea file" β€” a vendor-neutral prompt pattern. plexus gives it a production backend: typed storage, optimistic locking, temporal edges, multi-user auth, audit log.

What that buys you:

  • One source of truth across sessions. Your agent loads the context at the start of every conversation. You don't re-explain yourself.
  • One source of truth across agents. Claude web, Claude Code, Claude Desktop, Le Chat, Gemini β€” whoever connects speaks the same graph.
  • One source of truth across humans. Multi-user out of the box, scoped tokens per person, shared project containers, audit log.

Contents

Understand it

  • Use cases β€” seven concrete scenarios plexus is built for

Run it

  • Quickstart β€” Docker Compose up in under two minutes
  • Create your admin user (first run) β€” the bootstrap walk-through, including where to find the admin token

Wire an agent to it

  • Connecting an agent β€” Claude web / Code / Desktop snippets
  • Agent system-prompt template β€” copy-paste block that makes an LLM use plexus correctly
  • Example: ingesting a source β€” a Karpathy-style LLM-wiki ingest walked end-to-end against plexus

Reference

  • MCP tools Β· What the graph knows Β· Authentication Β· Sharing Β· Search

Operate it

  • Architecture Β· Configuration Β· Self-hosting Β· Development Β· Security

Use cases

Persistent agent memory. Every conversation starts with context_load, so your assistant remembers which ADRs you've already made, which projects are live, and which tasks you finished yesterday. No "as you might recall…" prompt engineering.

Cross-agent handoff. Claude Code finishes a feature, writes a handoff-fact. Next morning Claude web picks up the same context, knows which commits shipped, what's still open. Zero re-briefing.

Team memory for small groups. Spin up one instance, issue scoped personal tokens per person, share a project container. Read-only dashboard for everybody, agents write for everybody. No Notion, no wiki, no Slack-archaeology.

Decision archaeology. Every ADR is a first-class decision entity with supersedes / derived_from edges. A year later you can trace why the F-1 engine stayed, what the Apollo 13 post-mortem triggered, and which design superseded which. Time-travel queries via get_related(as_of: "2026-01-01").

Incident β†’ fix loop. A production incident becomes a fact with severity: high. The mitigation ADR links triggered_by that fact. The runbook documents the ADR. When you hire someone six months later, they read one graph walk instead of twelve Slack threads.

Literature / research digest. An agent ingests a paper, creates a note for the source, extracts concept and fact entities, attaches mentions edges. You query the graph by topic; every claim has provenance back to a derived_from note.

Private "second brain" that an agent actually uses. Capture with inbox_item, promote to task/concept/fact during a weekly review, archive with supersedes. Your notes are structured without you having to touch a form.


Quickstart

bash
# 1. Clone
git clone https://github.com/pcas-io/plexus.git
cd plexus

# 2. Configure β€” generates .env from the template with fresh 32-byte
#    secrets for all four required fields:
#      PLEXUS_ADMIN_TOKEN      ← you'll use this once, to bootstrap
#      PLEXUS_OAUTH_SECRET     ← OAuth state signing
#      PLEXUS_COOKIE_SECRET    ← dashboard session cookie signing
#      PLEXUS_SURREAL_PASS     ← SurrealDB root password
scripts/bootstrap_env.sh

# 3. Start
docker compose up -d

# 4. Open the dashboard
open http://localhost:8787

The admin token you'll need for the very first login is in .env:

bash
grep '^PLEXUS_ADMIN_TOKEN=' .env

Copy that hex value β€” the next section walks through the one-time bootstrap.

Full configuration reference is in .env.example. Deployment notes for Coolify, plain Docker, and Kubernetes are below.


Create your admin user (first run)

plexus boots on an empty database with no user. You'll use your PLEXUS_ADMIN_TOKEN once to create the first admin account, then it steps aside.

1. Find your admin token

The scripts/bootstrap_env.sh script you ran in the Quickstart wrote the token into your .env. Read it back:

bash
grep '^PLEXUS_ADMIN_TOKEN=' .env
# PLEXUS_ADMIN_TOKEN=<64-char-hex>

Copy the hex value after the =. You'll paste it once into the dashboard; after the bootstrap, plexus rejects the admin token on MCP and on normal login.

2. Walk the flow

#What you doWhat plexus does
1Open http://localhost:8787Shows the login form
2Paste the admin token, click ContinueRecognises "admin token + no admin user exists" β†’ redirects to /bootstrap
3Enter an admin name (letters, digits, _, -, .), Create adminCreates the admin user, shows a new personal token pt_… once. Copy it.
4Click Continue to loginBack to /auth/login, pending-auth cookie set
5Paste the pt_ tokenShows the passkey-enrollment screen
6Register passkey now, confirm with Touch ID / Face ID / Windows Hello / YubiKeyStores the passkey, then rotates the pt_ token and shows the new one once. Overwrite your password-manager entry.
7Sign in with new token, paste new token, tap passkeyLands you on /home

From here on, the admin token is only used for admin-plane endpoints (backup, reset). It's rejected on MCP and on normal dashboard login.

Why the rotation?

The initial tokens (admin + first pt_) are one-shot invitation codes. If anything intercepted them — mail, chat, a screen share — rotation makes that capture worthless the moment you sign in. For additional users you create via /users, the same admin→user handoff + first-enroll rotation protects them the same way.

Where to go next

The /help page inside the dashboard covers everything else: MCP integration, token scoping, passkey management, share links, graph view.

plexus help page β€” first-run bootstrap documentation


Connecting an agent

plexus speaks Model Context Protocol over POST /mcp. Any MCP-capable client can connect.

Claude.ai (web)

Settings β†’ Integrations β†’ Add Custom Integration β†’ https://<your-plexus-host>/mcp. plexus handles OAuth automatically β€” you'll see a consent screen once.

Claude Code (CLI)

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

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Adoption & maintenance

Factual signals from GitHub, npm, and our automated checks β€” not a rating.

npm downloads
17
Package downloads in the last 30 days.
Last commit
4mo ago
Most recent push to the default branch.
Tools exposed
15
Callable tools this server registers over MCP.

Reviews

No reviews yet β€” be the first to share how this listing worked for you.

Frequently Asked Questions about Plexus

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

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Technical Specs & Signals

CategoryπŸ’»Developer Tools
More technical detailsExpand β–Ύ
TransportSSE (Remote)
RuntimeNode.js
Last updatedApr 27, 2026
Views0
Unique ViewsTotal visits recorded for this listing page on AllMCPs.
Installs0
Installs & Copy ActionsTotal times users copied install commands or configuration snippets for this server.
GitHub stars0
GitHub Star CountTotal stargazers on GitHub representing community popularity (0 stars).
Last commit4mo ago
Last Repository CommitThe most recent commit or push recorded for this server's GitHub repository.Last commit on Apr 27, 2026
npm downloads17/mo
Monthly npm DownloadsAverage monthly package installs recorded from npm registry statistics.
49Quality signal: Fair Β· 49/100How this signal is calculated β–Ύ
Server availabilityNot measured

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 & tools25/30
Adoption & activity2/15
Community engagement0/10

A guidance signal from public completeness & health data β€” not a user rating. New listings start lower and rise as they add docs, get verified, and grow adoption. Signals we can't observe for a listing are skipped, not counted against it.

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