Context7
Up-to-date docs for AI agents
Descripción del creador (original en inglés)
Typed on-prem knowledge graph for AI agents — read-only for humans, write-only for agents via MCP.
Estos tres nunca se combinan en una sola puntuación: las opiniones, las mediciones y la popularidad son cosas distintas.
Todavía no escribimos un resumen sencillo para este. Abajo están los datos que leímos del registro.
Elige la app de IA que usas y copia la configuración.
Necesitas
¿Qué app usas?
Elige tu app arriba. La recordamos, así que la próxima vez el botón dirá “Instalar en …”.
Funciona en Claude para web, escritorio y móvil:
https://{plexus_host}/mcpLa dirección tiene partes {…} que solo tú conoces (como tu cuenta), así que cópiala y complétalas.
Ejecuta esto en tu terminal
claude mcp add --transport http plexus 'https://{plexus_host}/mcp'La dirección tiene partes {…} que solo tú conoces (como tu cuenta), así que cópiala y complétalas.
Pégalo en .cursor/mcp.json de tu proyecto, o en ~/.cursor/mcp.json
{
"mcpServers": {
"plexus": {
"url": "https://{plexus_host}/mcp"
}
}
}Tu navegador te pide permiso para abrir la app; luego la app muestra la configuración y te pide confirmar. Los valores de las claves quedan vacíos para que los completes tú.
La dirección tiene partes {…} que solo tú conoces (como tu cuenta), así que cópiala y complétalas.
Pégalo en .vscode/mcp.json de tu proyecto
{
"servers": {
"plexus": {
"type": "http",
"url": "https://{plexus_host}/mcp"
}
}
}Tu navegador te pide permiso para abrir la app; luego la app muestra la configuración y te pide confirmar. Los valores de las claves quedan vacíos para que los completes tú.
ChatGPT solo se conecta a servidores en internet:
https://{plexus_host}/mcpLa dirección tiene partes {…} que solo tú conoces (como tu cuenta), así que cópiala y complétalas.
Los nombres de los menús pueden variar un poco según el plan y con el tiempo.
Tu elección se guarda en una cookie en este dispositivo; no necesitas cuenta.
Esta configuración se genera a partir de la ficha del creador en el registro. Si el README dice otra cosa, sigue el README.
Todavía no hemos leído la lista de herramientas de este servidor; revisamos los endpoints por turnos.
Revisamos información que cualquiera puede ver; no hemos leído el código. Las revisiones que no aplican no se cuentan. · Revisado el 6 nov 2026
El nombre en el registro se verificó con la cuenta de GitHub pcas-io, dueña del repo
Todavía no hemos leído este repo en GitHub
Todavía no hemos leído este repo en GitHub
La dirección necesita datos de tu propia cuenta, así que no podemos revisarla por ti
La dirección necesita datos de tu propia cuenta, así que no podemos revisarla por ti
Aún sin revisar; leemos la lista de herramientas cuando revisamos el endpoint
Comparado con todos los servidores activos de esta categoría en el registro. Las estrellas solo cuentan cuando quien lo publica es dueño del repo.
Superó 1 de 1 revisiones básicas aplicables. No hemos leído el código. Antes de agregar una clave o un token, revisa qué acceso pide el servidor y usa una clave que tenga solo los permisos que necesitas.
El registro no indica ninguna clave obligatoria, aunque algunos servidores te piden iniciar sesión la primera vez que los usas.
Se ejecuta en la nube del creador. Te conectas por internet sin instalar nada, pero lo que envías pasa por los servidores del creador.
El repo de GitHub cambió por última vez –, y la última versión (0.1.2) llegó al registro hace 6 meses.
Las apps compatibles con MCP, como Claude Desktop, Claude Code, Cursor y VS Code. Se conecta por URL, así que también funcionan las apps que aceptan servidores MCP remotos, como ChatGPT en modo desarrollador.
En la misma categoría: Context7, Codebase Memory, Exa
Servidores de la misma categoría hechos por otros creadores, ordenados por estrellas.
Cómo leer una tarjeta:★ Estrellas de GitHubiTres pilares: reseñas · revisiones · usoiActualizado = fecha en que se publicó la última versión en el registroi
Up-to-date docs for AI agents
Codebase knowledge graph for AI agents — 162 languages, sub-ms queries, 99% fewer tokens.
Connect AI agents to Exa for web search, content fetching, and multi-step research.
Copiado tal cual del repo del creador. PopNx MCP no lo ha revisado ni lo respalda. Se quitaron HTML, imágenes y scripts. Los enlaces llevan fuera de este sitio.
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.
Knowledge management has been a document sport for twenty years — folders, notes, wikis, editor wars. plexus inverts that.
In plexus, every piece of information is a typed entity — concept, decision, fact, project, task, document, skill, … — 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 — from your agent. The dashboard shows you the graph; it has no edit buttons.
That gets you three things:
Runs in Docker Compose on your own hardware. Apache-2.0 licensed.
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 — 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 wiki | plexus |
|---|---|
| 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 → compile → reflect → query → lint | search_entities → save_entity / update_entity → link_entities → get_related → lint_graph |
Karpathy calls the gist an "idea file" — 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:
project containers, audit log.Understand it
Run it
Wire an agent to it
Reference
Operate it
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 → 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.
# 1. Clone
git clone https://github.com/pcas-io/plexus.git cd plexus
scripts/bootstrap_env.sh
docker compose up -d
open http://localhost:8787
The admin token you'll need for the very first login is in .env:
grep '^PLEXUS_ADMIN_TOKEN=' .env
Copy that hex value — 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.
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.
The scripts/bootstrap_env.sh script you ran in the Quickstart wrote the token into your .env. Read it back:
grep '^PLEXUS_ADMIN_TOKEN=' .env
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.
| # | What you do | What plexus does |
|---|---|---|
| 1 | Open http://localhost:8787 | Shows the login form |
| 2 | Paste the admin token, click Continue | Recognises "admin token + no admin user exists" → redirects to /bootstrap |
| 3 | Enter an admin name (letters, digits, _, -, .), Create admin | Creates the admin user, shows a new personal token pt_… once. Copy it. |
| 4 | Click Continue to login | Back to /auth/login, pending-auth cookie set |
| 5 | Paste the pt_ token | Shows the passkey-enrollment screen |
| 6 | Register passkey now, confirm with Touch ID / Face ID / Windows Hello / YubiKey | Stores the passkey, then rotates the `pt_` token and shows the new one once. Overwrite your password-manager entry. |
| 7 | Sign in with new token, paste new token, tap passkey | Lands 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.
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.
The /help page inside the dashboard covers everything else: MCP integration, token scoping, passkey management, share links, graph view.
plexus speaks Model Context Protocol over POST /mcp. Any MCP-capable client can connect.
Settings → Integrations → Add Custom Integration → https:// /mcp. plexus handles OAuth automatically — you'll see a consent screen once.
claude mcp add plexus --transport http \
--header "Authorization: Bearer pt_YOUR_TOKEN" \ https:// /mcp
In ~/Library/Application Support/Claude/claude_desktop_config.json:
{
"mcpServers": { "plexus": { "type": "http", "url": "https:// /mcp", "headers": { "Authorization": "Bearer pt_YOUR_TOKEN" } } } }
plexus exposes 15 tools.
| Tool | Purpose | Scope |
|---|---|---|
save_entity | Create a new entity | write |
get_entity | Fetch a single entity by id | read |
list_entities | List with filters (kind, context, status) | read |
search_entities | BM25-ranked full-text search with optional highlighting | read |
update_entity | Update with optimistic locking (expected_version) | write |
archive_entity | Soft-delete (status → archived) | write |
link_entities | Create a temporal edge between two entities | write |
unlink_entity | Invalidate an edge (valid_to = now) | write |
get_related | Traverse edges with direction + point-in-time filter | read |
list_kinds | Query the kind registry | read |
list_relations | Query the relation registry | read |
context_load | Session warm-up — 20 most recent entities + registries | read |
lint_graph | Orphans + duplicate-title check | read |
list_skills | Compact index of all skills | read |
load_skill | Load one skill by name, trigger phrase, or BM25 fallback | read |
Every tool enforces scope at the handler boundary: requireWrite(), checkContext(), checkKind(), and rejectSecret(). kind=secret is unreachable via MCP and filtered out of every read response.
Paste this block into any MCP-capable agent (Claude web custom integration, Claude Code CLI, Claude Desktop, Le Chat, a custom SDK harness). It's written tight on purpose — every line earns its place. Model-agnostic
Solo se muestra el principio; lee el resto en el repo