feat: Phase 1 — Authentik auth, MCP endpoint, persistent memory
End-to-end Phase 1 of shared-memory: a logged-in Authentik user can sign into the Web UI (/me debug page), and an MCP client with an Authentik- issued bearer token can call memory.write / memory.list / memory.get / memory.delete plus project.identify against /api/mcp. Stack: - Next.js 15 (App Router) + React 19 + TypeScript, pnpm workspaces - Drizzle ORM + Postgres 16 + pgvector + pg_trgm - Auth.js v5 with Authentik provider (Web UI) - jose + Authentik JWKS for MCP bearer-token validation - JSON-RPC 2.0 dispatcher implementing the MCP wire protocol over plain HTTP POST (hand-rolled to fit Next.js App Router; switches to SSE in a later phase if server-initiated events are needed) - bge-small embeddings sidecar deferred to Phase 2; the schema already reserves the vector(384) column + IVFFlat index, FTS via a STORED tsvector column, and the visibility enum (private/shared/team) so cross-user memory sharing can be added without a future migration Deployment supports two modes (set in .env, never committed): - Behind an external reverse proxy (HAProxy / nginx / Cloudflare Tunnel / Traefik) — DEFAULT; the app exposes APP_PORT on the host with X-Forwarded-* trusted, no in-container TLS - Built-in TLS via Caddy — opt-in with `docker compose --profile tls up` Discovery endpoint at /.well-known/oauth-protected-resource (RFC 9728) points MCP clients at the Authentik authorization server after a 401. README walks through both Authentik providers (Web UI + MCP resource server), the audience scope mapping, redirect URIs, and includes a worked HAProxy config snippet. Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
This commit is contained in:
@@ -0,0 +1,25 @@
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import { drizzle } from "drizzle-orm/postgres-js";
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import postgres from "postgres";
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import { env } from "@/lib/env";
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import * as schema from "./schema";
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// Reuse a single connection pool across hot reloads in dev.
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type GlobalWithPg = typeof globalThis & {
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__sharedMemoryPg?: ReturnType<typeof postgres>;
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};
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const g = globalThis as GlobalWithPg;
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function makePool() {
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return postgres(env().DATABASE_URL, {
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max: 10,
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idle_timeout: 30,
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connect_timeout: 10,
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prepare: false,
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});
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}
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const sql = g.__sharedMemoryPg ?? makePool();
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if (process.env.NODE_ENV !== "production") g.__sharedMemoryPg = sql;
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export const db = drizzle(sql, { schema, logger: env().LOG_LEVEL === "debug" });
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export { sql as pg, schema };
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@@ -0,0 +1,162 @@
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import {
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pgTable,
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pgEnum,
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uuid,
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text,
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timestamp,
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jsonb,
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uniqueIndex,
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index,
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customType,
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vector,
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varchar,
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} from "drizzle-orm/pg-core";
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import { sql } from "drizzle-orm";
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// ---------- custom column types ----------
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// Postgres tsvector — generated server-side from `content`, not written by app.
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const tsvector = customType<{ data: string; driverData: string }>({
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dataType() {
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return "tsvector";
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},
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});
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// Text array helper (Drizzle's `.array()` works, but this keeps intent explicit).
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const textArray = customType<{ data: string[]; driverData: string }>({
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dataType() {
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return "text[]";
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},
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toDriver(value) {
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return `{${value.map((v) => `"${v.replace(/"/g, '\\"')}"`).join(",")}}`;
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},
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});
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// ---------- enums ----------
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export const memoryScope = pgEnum("memory_scope", ["project", "user"]);
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export const memoryVisibility = pgEnum("memory_visibility", ["private", "shared", "team"]);
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export const auditActor = pgEnum("audit_actor", ["mcp", "web", "system"]);
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// ---------- tables ----------
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export const users = pgTable(
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"users",
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{
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id: uuid("id").primaryKey().defaultRandom(),
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// OIDC `sub` claim from Authentik — stable identifier for this user.
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oidcSub: text("oidc_sub").notNull(),
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// OIDC `iss` so we can disambiguate if we ever federate.
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oidcIss: text("oidc_iss").notNull(),
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email: text("email"),
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name: text("name"),
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picture: text("picture"),
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createdAt: timestamp("created_at", { withTimezone: true }).notNull().defaultNow(),
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lastSeenAt: timestamp("last_seen_at", { withTimezone: true }).notNull().defaultNow(),
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},
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(t) => ({
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uniqueIss: uniqueIndex("users_iss_sub_uq").on(t.oidcIss, t.oidcSub),
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}),
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);
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export const projects = pgTable(
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"projects",
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{
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id: uuid("id").primaryKey().defaultRandom(),
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userId: uuid("user_id")
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.notNull()
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.references(() => users.id, { onDelete: "cascade" }),
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// Caller-supplied stable identifier (e.g. repo name or any string).
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key: varchar("key", { length: 200 }).notNull(),
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displayName: text("display_name"),
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createdAt: timestamp("created_at", { withTimezone: true }).notNull().defaultNow(),
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updatedAt: timestamp("updated_at", { withTimezone: true }).notNull().defaultNow(),
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},
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(t) => ({
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uniqueUserKey: uniqueIndex("projects_user_key_uq").on(t.userId, t.key),
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}),
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);
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export const memories = pgTable(
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"memories",
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{
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id: uuid("id").primaryKey().defaultRandom(),
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userId: uuid("user_id")
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.notNull()
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.references(() => users.id, { onDelete: "cascade" }),
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// NULL when scope = 'user' (global to the user across all projects).
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projectId: uuid("project_id").references(() => projects.id, { onDelete: "set null" }),
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scope: memoryScope("scope").notNull().default("project"),
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visibility: memoryVisibility("visibility").notNull().default("private"),
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content: text("content").notNull(),
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tags: textArray("tags").notNull().default([]),
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// Populated by Phase 2 once the embedder sidecar is online; NULL in Phase 1.
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embedding: vector("embedding", { dimensions: 384 }),
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// Generated column — see migration SQL for definition.
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contentTsv: tsvector("content_tsv"),
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createdAt: timestamp("created_at", { withTimezone: true }).notNull().defaultNow(),
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updatedAt: timestamp("updated_at", { withTimezone: true }).notNull().defaultNow(),
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deletedAt: timestamp("deleted_at", { withTimezone: true }),
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},
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(t) => ({
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userIdx: index("memories_user_idx").on(t.userId),
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projectIdx: index("memories_project_idx").on(t.projectId),
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createdIdx: index("memories_created_idx").on(t.createdAt),
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// Vector index, tsvector index, and trigram index for tags are declared
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// in the SQL migration since drizzle-kit doesn't model them.
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}),
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);
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export const snippets = pgTable(
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"snippets",
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{
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id: uuid("id").primaryKey().defaultRandom(),
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userId: uuid("user_id")
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.notNull()
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.references(() => users.id, { onDelete: "cascade" }),
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name: varchar("name", { length: 200 }).notNull(),
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body: text("body").notNull(),
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description: text("description"),
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tags: textArray("tags").notNull().default([]),
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createdAt: timestamp("created_at", { withTimezone: true }).notNull().defaultNow(),
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updatedAt: timestamp("updated_at", { withTimezone: true }).notNull().defaultNow(),
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},
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(t) => ({
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uniqueUserName: uniqueIndex("snippets_user_name_uq").on(t.userId, t.name),
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}),
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);
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export const auditLog = pgTable(
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"audit_log",
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{
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id: uuid("id").primaryKey().defaultRandom(),
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userId: uuid("user_id").references(() => users.id, { onDelete: "set null" }),
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actor: auditActor("actor").notNull(),
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action: text("action").notNull(),
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entityType: text("entity_type"),
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entityId: uuid("entity_id"),
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payload: jsonb("payload"),
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createdAt: timestamp("created_at", { withTimezone: true }).notNull().defaultNow(),
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},
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(t) => ({
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userIdx: index("audit_user_idx").on(t.userId),
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createdIdx: index("audit_created_idx").on(t.createdAt),
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}),
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);
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// Re-export sql helper so callers can compose raw fragments without a
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// second drizzle import.
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export { sql };
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// ---------- inferred types ----------
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export type User = typeof users.$inferSelect;
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export type NewUser = typeof users.$inferInsert;
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export type Project = typeof projects.$inferSelect;
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export type NewProject = typeof projects.$inferInsert;
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export type Memory = typeof memories.$inferSelect;
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export type NewMemory = typeof memories.$inferInsert;
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export type Snippet = typeof snippets.$inferSelect;
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export type NewSnippet = typeof snippets.$inferInsert;
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export type AuditEntry = typeof auditLog.$inferSelect;
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export type NewAuditEntry = typeof auditLog.$inferInsert;
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