import { and, desc, eq, inArray, isNull, sql } from "drizzle-orm"; import { db } from "@/lib/db/client"; import { memories, projects, auditLog } from "@/lib/db/schema"; import { MemoryIdInput, MemoryListInput, MemorySearchInput, MemoryUpdateInput, MemoryWriteInput, ProjectIdentifyInput, } from "@shared-memory/schemas"; import { embedText } from "@/lib/embedder"; import { searchMemories } from "@/lib/memories"; import type { UserContext } from "./context"; /** * MCP tool definitions. Each tool has: * - name: dotted identifier exposed to clients * - description: shown to the model * - inputSchema: JSON Schema for the arguments object * - handler: async function that runs the tool */ export interface ToolResult { content: Array<{ type: "text"; text: string }>; isError?: boolean; structuredContent?: unknown; } export interface ToolDef { name: string; description: string; inputSchema: Record; handler: (args: unknown, ctx: UserContext) => Promise; } // ---------- helpers ---------- function ok(structured: unknown, summary: string): ToolResult { return { content: [{ type: "text", text: summary }], structuredContent: structured, }; } function err(message: string): ToolResult { return { content: [{ type: "text", text: `error: ${message}` }], isError: true, }; } async function resolveProjectId( ctx: UserContext, projectKey: string | undefined, ): Promise { if (!projectKey) return null; const row = await db .select({ id: projects.id }) .from(projects) .where(and(eq(projects.userId, ctx.userId), eq(projects.key, projectKey))) .limit(1); return row[0]?.id ?? null; } // ---------- tools ---------- const projectIdentify: ToolDef = { name: "project.identify", description: "Call ONCE near the start of every session that has a project context — a repo you're working in, a service you're debugging, etc. — to register or look up that project so subsequent project-scoped memories attach correctly. Use a stable `key` you can reproduce next session (repo name, repo URL, or working directory basename). Skip if the work is purely scratch / not tied to a specific codebase.", inputSchema: { type: "object", properties: { key: { type: "string", description: "Stable project identifier. Recommended: repo name, repo URL, or any string the caller can reproduce across sessions.", }, display_name: { type: "string", description: "Human-readable name shown in the Web UI. Optional.", }, }, required: ["key"], }, async handler(args, ctx) { const parsed = ProjectIdentifyInput.safeParse(args); if (!parsed.success) return err(parsed.error.message); const row = await db .insert(projects) .values({ userId: ctx.userId, key: parsed.data.key, displayName: parsed.data.display_name ?? null, }) .onConflictDoUpdate({ target: [projects.userId, projects.key], set: { displayName: parsed.data.display_name ?? sql`${projects.displayName}`, updatedAt: new Date(), }, }) .returning({ id: projects.id, key: projects.key, displayName: projects.displayName, createdAt: projects.createdAt, }); const p = row[0]!; return ok(p, `project ${p.key} (${p.id})`); }, }; const memoryWrite: ToolDef = { name: "memory.write", description: "Save a durable fact, preference, or decision that ANY future Claude Code session on ANY of this user's machines should know. Call this when the user shares something that meets ALL of: (1) likely to matter beyond this conversation, (2) not derivable from reading current code/git, (3) would surprise a future you if forgotten. Examples: 'I use HAProxy at home' (user-scope), 'we chose Drizzle over Prisma because of bundle size' (project-scope), 'our prod DB is at db.example.com' (user-scope reference). Use scope='user' for facts about the human or their infra; scope='project' for facts tied to a specific codebase (always preceded by project.identify). Sensitive info (API keys, credentials, connection strings the user actively shares with you) IS appropriate to save here — this server is OIDC-gated and per-user; safer than writing to local container files. DO NOT use for: transient task state, this-session-only scratch notes, or container-specific facts (those belong in the built-in file-based memory at ~/.claude/.../memory/). Tags help retrieval.", inputSchema: { type: "object", properties: { content: { type: "string", description: "Memory content (1–64,000 chars)." }, project: { type: "string", description: "Project key (required when scope='project').", }, scope: { type: "string", enum: ["project", "user"], description: "Scope of the memory. Defaults to 'project'.", }, tags: { type: "array", items: { type: "string" }, description: "Optional tags for filtering/grouping.", }, }, required: ["content"], }, async handler(args, ctx) { const parsed = MemoryWriteInput.safeParse(args); if (!parsed.success) return err(parsed.error.message); const scope = parsed.data.scope; let projectId: string | null = null; if (scope === "project") { if (!parsed.data.project) return err("scope=project requires `project` key"); projectId = await resolveProjectId(ctx, parsed.data.project); if (!projectId) { return err(`unknown project '${parsed.data.project}'; call project.identify first`); } } // Embed inline so the new memory is searchable immediately. Slower // writes (~50–150 ms) are an acceptable price for that guarantee; if // embedder pressure ever forces an async path, only this section // needs to change. const embedding = await embedText(parsed.data.content); const inserted = await db .insert(memories) .values({ userId: ctx.userId, projectId, scope, content: parsed.data.content, tags: parsed.data.tags ?? [], embedding, }) .returning({ id: memories.id, createdAt: memories.createdAt }); const m = inserted[0]!; await db.insert(auditLog).values({ userId: ctx.userId, actor: "mcp", action: "memory.write", entityType: "memory", entityId: m.id, payload: { scope, projectKey: parsed.data.project ?? null, tags: parsed.data.tags ?? [] }, }); return ok({ id: m.id, createdAt: m.createdAt }, `wrote memory ${m.id}`); }, }; const memoryList: ToolDef = { name: "memory.list", description: "Browse memories chronologically — useful at session start to load all relevant project context when there's no specific search query. Prefer memory.search when you have a specific question to answer; use list when you just want recent context. Filter by project, scope, or tags. Limit defaults to 50.", inputSchema: { type: "object", properties: { project: { type: "string", description: "Filter by project key." }, scope: { type: "string", enum: ["project", "user"], description: "Filter by scope." }, tags: { type: "array", items: { type: "string" }, description: "Require all of these tags.", }, limit: { type: "integer", minimum: 1, maximum: 200, default: 50 }, }, }, async handler(args, ctx) { const parsed = MemoryListInput.safeParse(args); if (!parsed.success) return err(parsed.error.message); const where = [eq(memories.userId, ctx.userId), isNull(memories.deletedAt)]; if (parsed.data.scope) where.push(eq(memories.scope, parsed.data.scope)); if (parsed.data.project) { const projectId = await resolveProjectId(ctx, parsed.data.project); if (!projectId) return ok({ items: [], next_cursor: null }, "0 results"); where.push(eq(memories.projectId, projectId)); } if (parsed.data.tags && parsed.data.tags.length > 0) { where.push(sql`${memories.tags} @> ${parsed.data.tags}::text[]`); } const rows = await db .select({ id: memories.id, scope: memories.scope, projectId: memories.projectId, content: memories.content, tags: memories.tags, createdAt: memories.createdAt, updatedAt: memories.updatedAt, }) .from(memories) .where(and(...where)) .orderBy(desc(memories.createdAt)) .limit(parsed.data.limit); return ok({ items: rows, next_cursor: null }, `${rows.length} result(s)`); }, }; const memoryGet: ToolDef = { name: "memory.get", description: "Fetch the full content of a single memory by its UUID. Use after memory.search or memory.list when you need the full body — list/search return summaries.", inputSchema: { type: "object", properties: { id: { type: "string", format: "uuid" } }, required: ["id"], }, async handler(args, ctx) { const parsed = MemoryIdInput.safeParse(args); if (!parsed.success) return err(parsed.error.message); const row = await db .select() .from(memories) .where( and( eq(memories.id, parsed.data.id), eq(memories.userId, ctx.userId), isNull(memories.deletedAt), ), ) .limit(1); if (!row[0]) return err("not found"); return ok(row[0], `memory ${row[0].id}`); }, }; const memoryDelete: ToolDef = { name: "memory.delete", description: "Soft-delete a memory when it becomes stale or wrong — e.g., the user changes a preference, or a fact you saved turns out to be incorrect. ALWAYS prefer memory.update over delete-then-write for content corrections; only delete when the memory genuinely shouldn't exist anymore. Soft delete preserves the audit trail.", inputSchema: { type: "object", properties: { id: { type: "string", format: "uuid" } }, required: ["id"], }, async handler(args, ctx) { const parsed = MemoryIdInput.safeParse(args); if (!parsed.success) return err(parsed.error.message); const updated = await db .update(memories) .set({ deletedAt: new Date() }) .where( and( eq(memories.id, parsed.data.id), eq(memories.userId, ctx.userId), isNull(memories.deletedAt), ), ) .returning({ id: memories.id }); if (!updated[0]) return err("not found"); await db.insert(auditLog).values({ userId: ctx.userId, actor: "mcp", action: "memory.delete", entityType: "memory", entityId: updated[0].id, }); return ok({ id: updated[0].id, deleted: true }, `deleted memory ${updated[0].id}`); }, }; const memoryUpdate: ToolDef = { name: "memory.update", description: "Edit an existing memory in place — for correcting a stored fact, expanding it with new detail, adjusting tags, or moving it to a different scope/project. Preserves the memory's id (so callers referencing it don't break) and re-embeds automatically when content changes. Pass `scope` and/or `project` to reclassify a memory between user-global and project-attached without recreating it. Use this — not delete + write — whenever you're refining what's already there.", inputSchema: { type: "object", properties: { id: { type: "string", format: "uuid" }, content: { type: "string", description: "Replacement content (1–64,000 chars)." }, tags: { type: "array", items: { type: "string" }, description: "Replacement tag list." }, scope: { type: "string", enum: ["project", "user"], description: "New scope. When 'project', `project` must be set. When 'user', `project` must be omitted.", }, project: { type: "string", description: "Project key the memory should attach to (required and only valid when scope='project'). Project is upserted if it doesn't exist.", }, }, required: ["id"], }, async handler(args, ctx) { const parsed = MemoryUpdateInput.safeParse(args); if (!parsed.success) return err(parsed.error.message); const existingRows = await db .select({ id: memories.id, content: memories.content, scope: memories.scope, projectId: memories.projectId, projectKey: projects.key, }) .from(memories) .leftJoin(projects, eq(memories.projectId, projects.id)) .where( and( eq(memories.id, parsed.data.id), eq(memories.userId, ctx.userId), isNull(memories.deletedAt), ), ) .limit(1); const existing = existingRows[0]; if (!existing) return err("not found"); const update: Record = { updatedAt: new Date() }; if (parsed.data.tags !== undefined) update.tags = parsed.data.tags; if (parsed.data.content !== undefined && parsed.data.content !== existing.content) { update.content = parsed.data.content; update.embedding = await embedText(parsed.data.content); } let scopeChanged = false; let projectChanged = false; let newProjectKey: string | null = existing.projectKey ?? null; if (parsed.data.scope !== undefined) { if (parsed.data.scope === "user") { if (existing.scope !== "user") { update.scope = "user"; scopeChanged = true; } if (existing.projectId !== null) { update.projectId = null; projectChanged = true; newProjectKey = null; } } else { // scope === 'project' — schema refine guarantees `project` is set const projectKey = parsed.data.project!; const projectId = await resolveProjectId(ctx, projectKey); if (!projectId) { return err(`unknown project '${projectKey}'; call project.identify first`); } if (existing.scope !== "project") { update.scope = "project"; scopeChanged = true; } if (existing.projectId !== projectId) { update.projectId = projectId; projectChanged = true; newProjectKey = projectKey; } } } const updated = await db .update(memories) .set(update) .where(eq(memories.id, parsed.data.id)) .returning({ id: memories.id, updatedAt: memories.updatedAt }); const auditFields = Object.keys(update).filter((k) => k !== "updatedAt"); const auditPayload: Record = { fields: auditFields }; if (scopeChanged || projectChanged) { auditPayload.scope = { from: existing.scope, to: update.scope ?? existing.scope, }; auditPayload.projectKey = { from: existing.projectKey ?? null, to: newProjectKey, }; } await db.insert(auditLog).values({ userId: ctx.userId, actor: "mcp", action: "memory.update", entityType: "memory", entityId: updated[0]!.id, payload: auditPayload, }); return ok(updated[0]!, `updated memory ${updated[0]!.id}`); }, }; const memorySearch: ToolDef = { name: "memory.search", description: "Search this user's stored memories BEFORE answering any question that might depend on something they told you in a past conversation — their preferences, infrastructure choices, project decisions, references, ongoing initiatives. Also call at the start of work on a known project to load semantic context. The query should be the topic you're looking up in natural language — don't pre-keyword it. Combines vector similarity, Postgres full-text, and tag overlap via RRF; each result carries per-source rank so you can tell whether the hit is a strong semantic match or a weak vector-only one. Cheap; lean toward calling it.", inputSchema: { type: "object", properties: { query: { type: "string", description: "Natural-language query." }, project: { type: "string", description: "Restrict to a single project key." }, scope: { type: "string", enum: ["project", "user"] }, tags: { type: "array", items: { type: "string" }, description: "Boost results with these tags." }, limit: { type: "integer", minimum: 1, maximum: 50, default: 10 }, }, required: ["query"], }, async handler(args, ctx) { const parsed = MemorySearchInput.safeParse(args); if (!parsed.success) return err(parsed.error.message); const { query, scope, tags, limit } = parsed.data; const projectId = parsed.data.project ? await resolveProjectId(ctx, parsed.data.project) : null; if (parsed.data.project && !projectId) { return ok({ items: [], debug: { vec: 0, fts: 0, tag: 0 } }, "0 results (unknown project)"); } const result = await searchMemories( ctx.userId, query, { scope, projectKey: parsed.data.project, tags }, limit, ); if (result.hits.length === 0) { return ok({ items: [], debug: result.debug }, "0 results"); } const topIds = result.hits.map((h) => h.id); const rows = await db .select({ id: memories.id, scope: memories.scope, projectId: memories.projectId, content: memories.content, tags: memories.tags, createdAt: memories.createdAt, updatedAt: memories.updatedAt, }) .from(memories) .where(inArray(memories.id, topIds)); const byId = new Map(rows.map((r) => [r.id, r])); const items = result.hits.flatMap((hit) => { const row = byId.get(hit.id); if (!row) return []; return [ { ...row, _rank: hit.rank, }, ]; }); return ok({ items, debug: result.debug }, `${items.length} result(s)`); }, }; export const tools: ToolDef[] = [ projectIdentify, memoryWrite, memoryUpdate, memoryList, memoryGet, memorySearch, memoryDelete, ]; export const toolMap: Record = Object.fromEntries( tools.map((t) => [t.name, t]), );