Update Agent Documentation with MCP Directory Structure and Model Integration

- Added a new section in the MCP documentation detailing the directory structure for assistants, enhancing clarity on how to define namespaced MCP servers.
- Included examples of using assistant models within MCP tools, providing guidance on referencing models in tool configurations.
- Updated the README to include a link to the new Models documentation, improving navigation and resource accessibility for users.
This commit is contained in:
Max 2026-01-01 11:46:12 +08:00
parent 692caec864
commit b7fc91a312
3 changed files with 425 additions and 15 deletions

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@ -181,6 +181,7 @@ ctx.Send({
- [Hooks](docs/hooks.md) - Create/Next hooks and agent lifecycle
- [Context API](docs/context-api.md) - Messaging, memory, trace, MCP
- [MCP Integration](docs/mcp.md) - Tool servers and resources
- [Models](docs/models.md) - Assistant-scoped data models
- [Search](docs/search.md) - Web, knowledge base, and database search
- [Pages](docs/pages.md) - Web UI for agents (SUI framework)
- [Internationalization](docs/i18n.md) - Multi-language support

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@ -2,6 +2,26 @@
Model Context Protocol (MCP) enables tool integration with external services.
## Directory Structure
Assistants can define their own namespaced MCP servers in the `mcps/` directory:
```
assistants/
└── my-assistant/
├── package.yao
└── mcps/
├── tools.mcp.yao # → agents.my-assistant.tools
├── calculator.mcp.yao # → agents.my-assistant.calculator
└── mapping/
└── tools/
└── schemes/
├── search.in.yao
└── search.out.yao
```
MCP servers are automatically loaded with `agents.<assistant-id>.` prefix.
## Defining MCP Servers
Create `mcps/tools.mcp.yao` in the assistant directory:
@ -75,9 +95,7 @@ Map Yao Processes directly to MCP tools:
```json
{
"mcp": {
"servers": [
{ "server_id": "tools", "tools": ["search", "calculate"] }
]
"servers": [{ "server_id": "tools", "tools": ["search", "calculate"] }]
}
}
```
@ -106,8 +124,8 @@ function Create(ctx: agent.Context, messages: agent.Message[]): agent.Create {
messages,
mcp_servers: [
{ server_id: "tools", tools: ["search"] },
{ server_id: "data", resources: ["data://reports"] }
]
{ server_id: "data", resources: ["data://reports"] },
],
};
}
```
@ -126,7 +144,7 @@ const tools = ctx.mcp.ListTools("server-id");
```typescript
const result = ctx.mcp.CallTool("server-id", "search", {
query: "example",
limit: 10
limit: 10,
});
// { content: [{ type: "text", text: "..." }] }
```
@ -137,13 +155,13 @@ const result = ctx.mcp.CallTool("server-id", "search", {
// Sequential
const results = ctx.mcp.CallTools("server-id", [
{ name: "step1", arguments: { input: "a" } },
{ name: "step2", arguments: { input: "b" } }
{ name: "step2", arguments: { input: "b" } },
]);
// Parallel
const results = ctx.mcp.CallToolsParallel("server-id", [
{ name: "api1", arguments: {} },
{ name: "api2", arguments: {} }
{ name: "api2", arguments: {} },
]);
```
@ -189,9 +207,60 @@ mcps/
```
The `x-process-args` maps MCP arguments to Yao Process parameters:
- `":arguments"` - Pass entire arguments object
- `"$args.field"` - Extract specific field
### Schema with Nested Objects
```json
{
"type": "object",
"description": "Extract structured data from input",
"properties": {
"intent": {
"type": "string",
"enum": ["query", "create", "update"],
"description": "Operation intent"
},
"items": {
"type": "array",
"items": {
"type": "object",
"properties": {
"name": { "type": "string" },
"value": { "type": "number" }
},
"required": ["name", "value"]
}
}
},
"required": ["intent"],
"x-process-args": [":arguments"]
}
```
## Using Assistant Models in MCP
MCP tools can reference assistant's own models:
**mcps/data.mcp.yao**
```json
{
"label": "Data Tools",
"transport": "process",
"tools": {
"list_orders": "models.agents.my-assistant.order.Paginate",
"get_order": "models.agents.my-assistant.order.Find",
"create_order": "models.agents.my-assistant.order.Create",
"custom_query": "agents.my-assistant.orders.Query"
}
}
```
See [Models](models.md) for defining assistant models.
## Error Handling
```typescript
@ -237,9 +306,7 @@ function Next(ctx: agent.Context, payload: agent.Payload): agent.Next {
"name": "Math Assistant",
"connector": "gpt-4o",
"mcp": {
"servers": [
{ "server_id": "calculator", "tools": ["add", "multiply"] }
]
"servers": [{ "server_id": "calculator", "tools": ["add", "multiply"] }]
}
}
```
@ -254,7 +321,7 @@ function Create(ctx: agent.Context, messages: agent.Message[]): agent.Create {
// Enable calculator
return {
messages,
mcp_servers: [{ server_id: "calculator" }]
mcp_servers: [{ server_id: "calculator" }],
};
}
return { messages };
@ -264,13 +331,13 @@ function Next(ctx: agent.Context, payload: agent.Payload): agent.Next {
const { tools } = payload;
if (tools?.length > 0) {
const calcResult = tools.find(t => t.server === "calculator");
const calcResult = tools.find((t) => t.server === "calculator");
if (calcResult?.result) {
return {
data: {
answer: calcResult.result,
expression: calcResult.arguments
}
expression: calcResult.arguments,
},
};
}
}

342
agent/docs/models.md Normal file
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@ -0,0 +1,342 @@
# Assistant Models
Assistants can define their own namespaced data models in the `models/` directory. These models are automatically loaded with the `agents.<assistant-id>.` prefix and use isolated database tables.
## Directory Structure
```
assistants/
└── my-assistant/
├── package.yao
└── models/
├── order.mod.yao # → agents.my-assistant.order
├── item.mod.yao # → agents.my-assistant.item
└── nested/
└── log.mod.yao # → agents.my-assistant.nested.log
```
## Model Definition
Standard Yao model definition with automatic table prefixing.
**models/order.mod.yao**
```json
{
"name": "Order",
"label": "Order Record",
"description": "Customer orders",
"table": {
"name": "order",
"comment": "Order records"
},
"columns": [
{
"name": "id",
"type": "ID",
"label": "ID",
"primary": true
},
{
"name": "order_no",
"type": "string",
"label": "Order Number",
"length": 100,
"nullable": false,
"unique": true,
"index": true
},
{
"name": "customer_id",
"type": "string",
"label": "Customer ID",
"length": 255,
"nullable": false,
"index": true
},
{
"name": "total_amount",
"type": "decimal",
"label": "Total Amount",
"precision": 15,
"scale": 2,
"nullable": false
},
{
"name": "status",
"type": "enum",
"label": "Status",
"option": ["pending", "confirmed", "shipped", "completed", "cancelled"],
"default": "pending",
"nullable": false,
"index": true
},
{
"name": "metadata",
"type": "json",
"label": "Metadata",
"nullable": true
}
],
"relations": {
"items": {
"type": "hasMany",
"model": "item",
"key": "order_id",
"foreign": "id"
}
},
"indexes": [
{
"name": "idx_customer_status",
"columns": ["customer_id", "status"],
"type": "index"
}
],
"option": {
"timestamps": true,
"soft_deletes": true
}
}
```
## Table Naming
Tables are automatically prefixed with `agents_<assistant-id>_`:
| Assistant ID | Model File | Model ID | Table Name |
| ------------ | ---------------------- | ------------------------ | ------------------------ |
| `expense` | `models/order.mod.yao` | `agents.expense.order` | `agents_expense_order` |
| `tests.demo` | `models/user.mod.yao` | `agents.tests.demo.user` | `agents_tests_demo_user` |
## Using Models
### In Hooks
```typescript
import { Process } from "@yao/runtime";
function Create(ctx: agent.Context, messages: agent.Message[]): agent.Create {
// Query assistant's own model
const orders = Process("models.agents.my-assistant.order.Paginate", {
wheres: [{ column: "status", value: "pending" }],
limit: 10,
});
return { messages };
}
```
### In MCP Tools
```json
{
"transport": "process",
"tools": {
"list_orders": "models.agents.my-assistant.order.Paginate",
"get_order": "models.agents.my-assistant.order.Find",
"create_order": "models.agents.my-assistant.order.Create",
"update_order": "models.agents.my-assistant.order.Update"
}
}
```
### In Scripts
**src/orders.ts**
```typescript
import { Process } from "@yao/runtime";
export function ListPending(): any[] {
return Process("models.agents.my-assistant.order.Get", {
wheres: [{ column: "status", value: "pending" }],
orders: [{ column: "created_at", option: "desc" }],
});
}
export function CreateOrder(data: any): any {
return Process("models.agents.my-assistant.order.Create", data);
}
export function UpdateStatus(id: number, status: string): any {
return Process("models.agents.my-assistant.order.Update", id, { status });
}
```
## Column Types
| Type | Description | Options |
| ------------ | -------------------------- | ----------------------- |
| `ID` | Auto-increment primary key | `primary: true` |
| `string` | VARCHAR | `length` (default: 255) |
| `text` | TEXT | - |
| `integer` | INT | - |
| `bigInteger` | BIGINT | - |
| `float` | FLOAT | `precision`, `scale` |
| `decimal` | DECIMAL | `precision`, `scale` |
| `boolean` | BOOLEAN | - |
| `date` | DATE | - |
| `datetime` | DATETIME | - |
| `timestamp` | TIMESTAMP | - |
| `json` | JSON/JSONB | - |
| `enum` | ENUM | `option: [...]` |
## Column Options
| Option | Type | Description |
| ----------- | --------- | ----------------- |
| `nullable` | `boolean` | Allow NULL values |
| `default` | `any` | Default value |
| `unique` | `boolean` | Unique constraint |
| `index` | `boolean` | Create index |
| `primary` | `boolean` | Primary key |
| `length` | `integer` | String length |
| `precision` | `integer` | Decimal precision |
| `scale` | `integer` | Decimal scale |
| `comment` | `string` | Column comment |
## Relations
```json
{
"relations": {
"items": {
"type": "hasMany",
"model": "item",
"key": "order_id",
"foreign": "id"
},
"customer": {
"type": "hasOne",
"model": "customer",
"key": "id",
"foreign": "customer_id"
}
}
}
```
| Type | Description |
| ---------------- | ----------------------------- |
| `hasOne` | One-to-one relationship |
| `hasMany` | One-to-many relationship |
| `hasOneThrough` | Has one through intermediate |
| `hasManyThrough` | Has many through intermediate |
## Model Options
```json
{
"option": {
"timestamps": true,
"soft_deletes": true,
"permission": true
}
}
```
| Option | Description |
| -------------- | -------------------------------------- |
| `timestamps` | Add `created_at`, `updated_at` columns |
| `soft_deletes` | Add `deleted_at` for soft delete |
| `permission` | Enable permission checks |
## Process Reference
Common model processes:
| Process | Description | Arguments |
| ------------- | ---------------- | --------------------------- |
| `Find` | Get by ID | `id`, `query?` |
| `Get` | Get records | `query` |
| `Paginate` | Paginated list | `query`, `page`, `pagesize` |
| `Create` | Create record | `data` |
| `Update` | Update record | `id`, `data` |
| `Save` | Create or update | `data` |
| `Delete` | Delete record | `id` |
| `Destroy` | Hard delete | `id` |
| `Insert` | Batch insert | `columns`, `rows` |
| `UpdateWhere` | Batch update | `query`, `data` |
| `DeleteWhere` | Batch delete | `query` |
## Migration
Models are automatically migrated when Yao starts. The migration:
1. Creates tables if not exist
2. Adds new columns
3. Creates indexes
4. Does NOT drop columns (safe migration)
To force schema sync:
```bash
yao migrate --reset # Warning: drops and recreates tables
```
## Example: Complete Assistant with Models
**assistants/inventory/package.yao**
```json
{
"name": "Inventory Assistant",
"connector": "gpt-4o",
"mcp": {
"servers": [{ "server_id": "inventory" }]
}
}
```
**assistants/inventory/models/product.mod.yao**
```json
{
"name": "Product",
"table": { "name": "product" },
"columns": [
{ "name": "id", "type": "ID", "primary": true },
{ "name": "sku", "type": "string", "length": 50, "unique": true },
{ "name": "name", "type": "string", "length": 200 },
{ "name": "quantity", "type": "integer", "default": 0 },
{ "name": "price", "type": "decimal", "precision": 10, "scale": 2 }
],
"option": { "timestamps": true }
}
```
**assistants/inventory/mcps/inventory.mcp.yao**
```json
{
"label": "Inventory",
"transport": "process",
"tools": {
"list_products": "models.agents.inventory.product.Paginate",
"get_product": "models.agents.inventory.product.Find",
"update_stock": "agents.inventory.stock.Update"
}
}
```
**assistants/inventory/src/stock.ts**
```typescript
import { Process } from "@yao/runtime";
export function Update(args: { sku: string; quantity: number }): any {
const product = Process("models.agents.inventory.product.Get", {
wheres: [{ column: "sku", value: args.sku }],
limit: 1,
});
if (!product || product.length === 0) {
throw new Error(`Product not found: ${args.sku}`);
}
return Process("models.agents.inventory.product.Update", product[0].id, {
quantity: args.quantity,
});
}
```