diff --git a/mcp-server/README.md b/mcp-server/README.md new file mode 100644 index 000000000..056ea45d3 --- /dev/null +++ b/mcp-server/README.md @@ -0,0 +1,124 @@ +# Wren MCP Server + +The **Wren MCP Server** is a **Model Context Protocol (MCP) server** that provides tools for interacting with **Wren Engine** to facilitate AI agent integration. + +## Requirements + +Before setting up the Wren MCP Server, ensure you have the following dependency installed: + +- **[uv](https://docs.astral.sh/uv/getting-started/installation/#installing-uv)** - A fast and efficient Python package manager. + +## Environment Variables + +The server requires the following environment variables to be set: + +| Variable | Description | +|----------|------------| +| `WREN_URL` | The URL of the **Wren Ibis server**. | +| `CONNECTION_INFO_FILE` | The path to the **required connection info file**. | +| `MDL_PATH` | The path to the **MDL file**. | + +### Connection Info + +The following JSON is a connection info of a Postgres. You can find the requried fields for each data source in the [source code](https://github.com/Canner/wren-engine/blob/4ac283ee0754b12a8c3b0a6f13b32c935fcb7b0d/ibis-server/app/model/__init__.py#L75). +```json +{ + "host": "localhost", + "port": "5432", + "user": "test", + "password": "test", + "database": "test" +} +``` + +### The `dataSource` field is requried. + +In the MDL, the `dataSource` field is required to indicate which data source should be connected. + +### `.env` File Support + +Wren MCP Server supports an `.env` file for easier environment configuration. You can define all the required environment variables in this file. + +--- + +## Installation & Usage + +### 1. Set the Python Envrionment + +Use the `uv` command to create a virtual envrionment and activate it: +``` +> uv venv +Using CPython 3.11.11 +Creating virtual environment at: .venv +Activate with: source .venv/bin/activate +> source .venv/bin/activate +> uv run app/wren.py +Loaded MDL etc/mdl.json +Loaded connection info etc/pg_conneciton.json +``` +You would see that the MDL and connection info are loaded. Then, you can use `Ctrl + C` terminate the process. + +### 2. Start Wren Engine and Ibis Server + +- If you **already have a running Wren Engine**, ensure that `WREN_URL` is correctly set to point to your server. +- If you **don't have a running engine**, you can start one using Docker: + + ```sh + cd docker + docker compose up + ``` + +### 3. Set Environment Variables + +Make sure all required environment variables are properly configured, either in your system or within a `.env` file. + +### 4. Configure the MCP Server + +Create a configuration file with the following structure: + +```json +{ + "mcpServers": { + "wren": { + "command": "uv", + "args": [ + "--directory", + "/ABSOLUTE/PATH/TO/PARENT/FOLDER/wren-engine/mcp-server", + "run", + "app/wren.py" + ], + "autoApprove": [], + "disabled": false + } + } +} +``` + +#### Notes: +- You **may need to provide the full path** to the `uv` executable in the `"command"` field. You can find it using: + - **MacOS/Linux**: `which uv` + - **Windows**: `where uv` +- Ensure that the **absolute path** to the MCP server directory is used in the configuration. +- For more details, refer to the [MCP Server Guide](https://modelcontextprotocol.io/quickstart/server#test-with-commands). + +### 5. Choose an AI Agent That Supports MCP Server + +The following AI agents are compatible with Wren MCP Server and deploy the MCP config: + +- **[Claude Desktop](https://modelcontextprotocol.io/quickstart/user)** +- **[Cline](https://docs.cline.bot/mcp-servers/mcp-quickstart)** + +### 6. Check the Wren Engine is Connected + +You can ask the AI agent to perform a health check for Wren Engine. + +### 7. Start the Conversation + +Now, you can start asking questions through your AI agent and interact with Wren Engine. + +--- + +## Additional Resources + +- **Wren Engine Documentation**: [Wren AI](https://getwren.ai/) +- **MCP Protocol Guide**: [Model Context Protocol](https://modelcontextprotocol.io/) diff --git a/mcp-server/app/__init__.py b/mcp-server/app/__init__.py new file mode 100644 index 000000000..e69de29bb diff --git a/mcp-server/app/dto.py b/mcp-server/app/dto.py new file mode 100644 index 000000000..60e7eacf1 --- /dev/null +++ b/mcp-server/app/dto.py @@ -0,0 +1,52 @@ +from pydantic import BaseModel +from pydantic.fields import Field + + +class Column(BaseModel): + name: str + type: str + expression: str = None + isCalculated: bool = False + relationship: str = None + description: str = None + + +class TableReference(BaseModel): + catalog: str = None + mdl_schema: str = Field(alias="schema", default=None) + table: str + + +class Model(BaseModel): + name: str + tableReference: TableReference + columns: list[Column] + primaryKey: str = None + description: str = None + + +class Relationship(BaseModel): + name: str + models: list[str] + join_type: str + join_condition: str + + +class View(BaseModel): + name: str + statement: str + description: str = None + + +class Manifest(BaseModel): + catalog: str = "wren" + mdl_schema: str = Field(alias="schema", default="public") + models: list[Model] + relationships: list[Relationship] + views: list[View] + description: str = None + + +class TableColumns(BaseModel): + table_name: str + column_names: list[str] = None diff --git a/mcp-server/app/utils.py b/mcp-server/app/utils.py new file mode 100644 index 000000000..2dc9f335c --- /dev/null +++ b/mcp-server/app/utils.py @@ -0,0 +1,10 @@ +import base64 +import orjson + + +def dict_to_base64_string(data: dict[str, any]) -> str: + return base64.b64encode(orjson.dumps(data)).decode("utf-8") + + +def json_to_base64_string(data: str) -> str: + return base64.b64encode(data.encode("utf-8")).decode("utf-8") diff --git a/mcp-server/app/wren.py b/mcp-server/app/wren.py new file mode 100644 index 000000000..d1ae3ea72 --- /dev/null +++ b/mcp-server/app/wren.py @@ -0,0 +1,314 @@ +import base64 +from dotenv import load_dotenv +import orjson +import json + +import os +import httpx +from mcp.server.fastmcp import FastMCP +from dto import Manifest, TableColumns +from utils import dict_to_base64_string, json_to_base64_string + +mcp = FastMCP("Wren Engine") + +load_dotenv() +WREN_URL = os.getenv("WREN_URL", "localhost:8000") +USER_AGENT = "wren-app/1.0" +MDL_SCHEMA_PATH = "mdl.schema.json" +connection_info_path = os.getenv("CONNECTION_INFO_FILE") +# TODO: maybe we should log the number of tables and columns +mdl_path = os.getenv("MDL_PATH") + +if mdl_path: + with open(mdl_path) as f: + mdl_schema = json.load(f) + data_source = mdl_schema["dataSource"].lower() + mdl_base64 = dict_to_base64_string(mdl_schema) + print(f"Loaded MDL {f.name}") # noqa: T201 +else: + print("No MDL_PATH environment variable found") + +if connection_info_path: + with open(connection_info_path) as f: + connection_info = json.load(f) + print(f"Loaded connection info {f.name}") # noqa: T201 +else: + print("No CONNECTION_INFO_FILE environment variable found") + + +async def make_query_request(sql: str, dry_run: bool = False): + headers = {"User-Agent": USER_AGENT, "Accept": "application/json"} + async with httpx.AsyncClient() as client: + try: + response = await client.post( + f"http://{WREN_URL}/v2/connector/{data_source}/query?dry_run={dry_run}", + headers=headers, + json={ + "sql": sql, + "manifestStr": mdl_base64, + "connectionInfo": connection_info, + }, + timeout=30, + ) + return response + except Exception as e: + return e + + +async def make_table_list_request(): + headers = {"User-Agent": USER_AGENT, "Accept": "application/json"} + async with httpx.AsyncClient() as client: + try: + response = await client.post( + f"http://{WREN_URL}/v2/connector/{data_source}/metadata/tables", + headers=headers, + json={"connectionInfo": connection_info}, + ) + return response.text + except Exception as e: + return e + + +async def make_constraints_list_request(): + headers = {"User-Agent": USER_AGENT, "Accept": "application/json"} + async with httpx.AsyncClient() as client: + try: + response = await client.post( + f"http://{WREN_URL}/v2/connector/{data_source}/metadata/constraints", + headers=headers, + json={"connectionInfo": connection_info}, + ) + return response.text + except Exception as e: + return e + + +@mcp.resource("resource://mdl_json_schema") +async def get_mdl_json_schema() -> str: + """ + Get the MDL JSON schema + """ + with open(MDL_SCHEMA_PATH) as f: + return f.read() + + +# TODO: should validate the MDL +@mcp.tool() +async def deploy(mdl: Manifest) -> str: + global mdl_base64 + """ + Deploy the MDL JSON schema to Wren Engine + """ + mdl_base64 = json_to_base64_string(mdl.model_dump_json(by_alias=True)) + return "MDL deployed successfully" + + +@mcp.tool() +async def is_deployed() -> str: + """ + Check if the MDL JSON schema is deployed + """ + if mdl_base64: + return "MDL is deployed" + return "MDL is not deployed. Please deploy the MDL first" + + +@mcp.tool() +async def list_remote_constraints() -> str: + """ + Get the available constraints of connected Database + """ + response = await make_constraints_list_request() + return response + + +@mcp.tool() +async def list_remote_tables() -> str: + """ + Get the available tables of connected Database + """ + response = await make_table_list_request() + return response + + +@mcp.tool() +async def query(sql: str) -> str: + """ + Query the Wren Engine with the given SQL query + """ + response = await make_query_request(sql) + return response.text + + +@mcp.tool() +async def dry_run(sql: str) -> str: + """ + Dry run the query in Wren Engine with the given SQL query. + It's a cheap way to validate the query. It's better to have + dry run before running the actual query. + """ + try: + await make_query_request(sql, True) + return "Query is valid" + except Exception as e: + return e + + +@mcp.resource("wren://metadata/manifest") +async def get_full_manifest() -> str: + """ + Get the current deployed manifest in Wren Engine + """ + return base64.b64decode(mdl_base64).decode("utf-8") + + +@mcp.tool() +async def get_manifest() -> str: + """ + Get the current deployed manifest in Wren Engine. + If the number of deployed tables and columns is small, then it's better to use this tool. + Otherwise, use `get_available_tables` and `get_table_info` and `get_column_info` tools. + """ + return base64.b64decode(mdl_base64).decode("utf-8") + + +@mcp.resource("wren://metadata/tables") +async def get_available_tables_resource() -> str: + """ + Get the available tables in Wren Engine + """ + mdl = orjson.loads(base64.b64decode(mdl_base64).decode("utf-8")) + # return only table name + return [table["name"] for table in mdl["models"]] + + +@mcp.tool() +async def get_available_tables() -> str: + """ + Get the available tables in Wren Engine + """ + mdl = orjson.loads(base64.b64decode(mdl_base64).decode("utf-8")) + # return only table name + return [table["name"] for table in mdl["models"]] + + +@mcp.tool() +async def get_table_columns_info( + table_columns: list[TableColumns], full_column_info: bool = False +) -> str: + """ + Batch get the column info for the given table and column names in Wren Engine + If the number of deployed tables and columns is huge, then it's better to use this tool to get only the required table and column info. + + Given a `TableColumns` object, if the columns isn't provided, then it will return all columns of the table. + If the columns is not None, then it will return only the given columns of the table. + If the `full_column_info` is True, then it will return the full column info, otherwise only the column name. + """ + mdl = orjson.loads(base64.b64decode(mdl_base64).decode("utf-8")) + result = [] + for table_column in table_columns: + # find the specific table + tables = [ + table for table in mdl["models"] if table["name"] == table_column.table_name + ] + + if len(tables) == 0: + return f"Table not found: {table_column.table_name}" + + if len(tables) > 1: + return f"Multiple tables found: {table_column.table_name}" + + # extract the only column + if table_column.column_names and len(table_column.column_names) > 0: + columns = [ + col + for col in tables[0]["columns"] + if col["name"] in table_column.column_names + ] + # check the missed columns + missed_columns = set(table_column.column_names) - set( + [col["name"] for col in columns] + ) + if len(missed_columns) > 0: + return f"Table {table_column.table_name}'s columns not found: {missed_columns}" + else: + columns = tables[0]["columns"] + + if not full_column_info: + columns = [col["name"] for col in columns] + + result.append({"table_name": table_column.table_name, "columns": columns}) + return orjson.dumps(result).decode("utf-8") + + +@mcp.tool() +async def get_table_info(table_name: str) -> str: + """ + Get the table info for the given table name in Wren Engine + """ + mdl = orjson.loads(base64.b64decode(mdl_base64).decode("utf-8")) + result = [table for table in mdl["models"] if table["name"] == table_name] + for table in result: + table["columns"] = [col["name"] for col in table["columns"]] + return orjson.dumps(result).decode("utf-8") + + +@mcp.tool() +async def get_column_info(table_name: str, column_name: str) -> str: + """ + Get the column info for the given table and column name in Wren Engine + """ + mdl = orjson.loads(base64.b64decode(mdl_base64).decode("utf-8")) + # find the specific table + tables = [table for table in mdl["models"] if table["name"] == table_name] + + if len(tables) == 0: + return "Table not found" + + if len(tables) > 1: + return "Multiple tables found" + + # extract the only column + result = [col for col in tables[0]["columns"] if col["name"] == column_name] + if len(result) == 0: + return "Column not found" + + if len(result) > 1: + return "Multiple columns found" + + return orjson.dumps(result[0]).decode("utf-8") + + +@mcp.tool() +async def get_relationships() -> str: + """ + Get the relationships in Wren Engine + """ + mdl = orjson.loads(base64.b64decode(mdl_base64).decode("utf-8")) + return orjson.dumps(mdl["relationships"]).decode("utf-8") + + +# TODO: implement this tool +# @mcp.tool() +# async def get_available_functions() -> str: +# pass + + +@mcp.tool() +async def health_check() -> str: + """ + Check the health of Wren Engine + """ + try: + response = await make_query_request("SELECT 1") + if response.status_code == 200: + return "Wren Engine is healthy" + else: + return "Wren Engine is not healthy" + except Exception as e: + return "Wren Engine is not healthy" + + +if __name__ == "__main__": + # Initialize and run the server + mcp.run(transport="stdio") diff --git a/mcp-server/docker/compose.yaml b/mcp-server/docker/compose.yaml new file mode 100644 index 000000000..ab442f622 --- /dev/null +++ b/mcp-server/docker/compose.yaml @@ -0,0 +1,24 @@ +services: + ibis-server: + image: ghcr.io/canner/wren-engine-ibis:latest + ports: + - "8000:8000" + environment: + WREN_ENGINE_ENDPOINT: http://java-engine:8080 + volumes: + - ./../etc:/usr/src/app/etc + java-engine: + image: ghcr.io/canner/wren-engine:latest + ports: + - "8080:8080" + volumes: + - ./../etc:/usr/src/app/etc + deploy: + resources: + limits: + cpus: '1' + memory: 1G + environment: + MAX_HEAP_SIZE: 819m + MIN_HEAP_SIZE: 819m + \ No newline at end of file diff --git a/mcp-server/etc/config.properties b/mcp-server/etc/config.properties new file mode 100644 index 000000000..41f2f3a85 --- /dev/null +++ b/mcp-server/etc/config.properties @@ -0,0 +1,2 @@ +node.environment=test +http-server.http.port=8080 \ No newline at end of file diff --git a/mcp-server/justfile b/mcp-server/justfile new file mode 100644 index 000000000..959e7857f --- /dev/null +++ b/mcp-server/justfile @@ -0,0 +1,12 @@ +default: + @just --list --unsorted + +build-core: + cd ../wren-core-py && just install && just build + +core-wheel-path := "../wren-core-py/target/wheels/wren_core_py-*.whl" + +install-core: + # just build-core + # Using pip install to avoid adding wheel to pyproject.toml + uv pip install --force-reinstall {{ core-wheel-path }} diff --git a/mcp-server/mdl.schema.json b/mcp-server/mdl.schema.json new file mode 100644 index 000000000..f6ff38035 --- /dev/null +++ b/mcp-server/mdl.schema.json @@ -0,0 +1,163 @@ +{ + "$schema": "https://json-schema.org/draft/2020-12/schema", + "$id": "https://github.com/Canner/WrenAI/tree/main/wren-mdl/mdl.schema.json", + "title": "WrenMDL Manifest Schema", + "description": "A schema for WrenMDL manifest file", + "$defs": { + "column": { + "type": "object", + "properties": { + "name": { + "description": "the name of the column", + "type": "string", + "minLength": 1 + }, + "type": { + "description": "the type of the column", + "type": "string", + "minLength": 1 + }, + "isCalculated": { + "description": "whether the column is calculated or not. If the column expression used relationship, this field is required", + "type": "boolean" + }, + "expression": { + "description": "the expression of the column. If the column is calculated, this field is required", + "type": ["string", "null"] + } + }, + "required": ["name", "type"], + "additionalProperties": false + } + }, + "type": "object", + "properties": { + "catalog": { + "description": "the catalog name of WrenMDL", + "type": "string", + "minLength": 1 + }, + "schema": { + "description": "the schema name of WrenMDL", + "type": "string", + "minLength": 1 + }, + "models": { + "description": "the list of models", + "type": "array", + "unevaluatedItems": false, + "items": { + "type": "object", + "properties": { + "name": { + "description": "the name of the model", + "type": "string", + "minLength": 1 + }, + "tableReference": { + "description": "the table reference of the model", + "type": "object", + "properties": { + "catalog": { + "type": "string" + }, + "schema": { + "type": "string" + }, + "table": { + "type": "string", + "minLength": 1 + } + }, + "required": ["table"] + }, + "columns": { + "description": "the list of columns", + "type": "array", + "items": { + "$ref": "#/$defs/column" + } + } + }, + "required": ["name"], + "oneOf": [ + { "required": ["tableReference"] } + ], + "additionalProperties": false + } + } + }, + "relationships": { + "description": "the list of relationships", + "type": "array", + "unevaluatedItems": false, + "items": { + "type": "object", + "properties": { + "name": { + "description": "the name of the relationship", + "type": "string", + "minLength": 1 + }, + "models": { + "description": "the list of models", + "type": "array", + "items": { + "type": "string", + "minLength": 1 + }, + "minItems": 2, + "maxItems": 2 + }, + "joinType": { + "description": "the join type of the relationship", + "type": "string", + "enum": ["ONE_TO_ONE", "ONE_TO_MANY", "MANY_TO_ONE", "MANY_TO_MANY"] + }, + "condition": { + "description": "the condition of the relationship", + "type": "string", + "minLength": 1 + }, + "properties": { + "description": "the customize properties of the relationship", + "type": "object", + "additionalProperties": { + "type": "string" + } + } + }, + "required": ["name", "models", "joinType", "condition"] + } + }, + "views": { + "description": "the list of views", + "type": "array", + "unevaluatedItems": false, + "items": { + "type": "object", + "properties": { + "name": { + "description": "the name of the view", + "type": "string", + "minLength": 1 + }, + "statement": { + "description": "the sql statement of the view", + "type": "string", + "minLength": 1 + }, + "properties": { + "description": "the customize properties of the view", + "type": "object", + "additionalProperties": { + "type": "string" + } + } + }, + "required": ["name", "statement"] + } + }, + "required": ["catalog", "schema"], + "additionalProperties": false +} diff --git a/mcp-server/pyproject.toml b/mcp-server/pyproject.toml new file mode 100644 index 000000000..162cb8ad5 --- /dev/null +++ b/mcp-server/pyproject.toml @@ -0,0 +1,14 @@ +[project] +name = "mcp-server" +version = "0.1.0" 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