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Vrajesh Babu A V
45a2168e0e
## What's Added - **PostgreSQL MCP Agent** ([mcp_postgres_agent/agent.py](cci:7://file:///Users/admin/git%20repos/adk-python/contributing/samples/mcp_postgres_agent/agent.py:0:0-0:0)): A fully functional agent that connects to PostgreSQL databases via the `postgres-mcp` MCP server - **Comprehensive README** ([mcp_postgres_agent/README.md](cci:7://file:///Users/admin/git%20repos/adk-python/contributing/samples/mcp_postgres_agent/README.md:0:0-0:0)): Documentation with setup instructions, configuration details, and example queries - **Environment Configuration**: Support for secure credential management via `.env` files ## Key Features - **MCP Integration**: Demonstrates proper use of `MCPToolset` with `StdioConnectionParams` - **Zero Installation**: Uses `uvx` to run the MCP server without manual installation - **Secure Credentials**: Database connection strings passed via environment variables - **Production-Ready**: Uses Gemini 2.0 Flash with unrestricted access mode for full database operations ## Technical Details - **Model**: Gemini 2.0 Flash - **MCP Server**: `postgres-mcp` (via `uvx`) - **Connection**: StdioConnectionParams with 60-second timeout - **Environment Variable**: Maps `POSTGRES_CONNECTION_STRING` to `DATABASE_URI` ## Testing The agent has been tested with: - PostgreSQL database connections (local and remote) - Schema inspection queries - Data querying operations - Table listing and management ## Example Queries Users can interact with the agent using natural language queries like: - "What tables are in the database?" - "Show me the schema for the users table" - "Query the first 10 rows from the products table" This sample serves as a reference implementation for developers looking to integrate PostgreSQL databases with ADK agents using MCP. COPYBARA_INTEGRATE_REVIEW=https://github.com/google/adk-python/pull/3182 from Vrajesh-Babu:postgres-mcp f3b3846abae37ae376d3554624ac2b1be82f7adc PiperOrigin-RevId: 822865931
58 lines
1.9 KiB
Python
58 lines
1.9 KiB
Python
# Copyright 2025 Google LLC
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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import os
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from dotenv import load_dotenv
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from google.adk.agents.llm_agent import LlmAgent
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from google.adk.tools.mcp_tool import StdioConnectionParams
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from google.adk.tools.mcp_tool.mcp_toolset import MCPToolset
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from google.genai.types import GenerateContentConfig
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from mcp import StdioServerParameters
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load_dotenv()
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POSTGRES_CONNECTION_STRING = os.getenv("POSTGRES_CONNECTION_STRING")
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if not POSTGRES_CONNECTION_STRING:
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raise ValueError(
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"POSTGRES_CONNECTION_STRING environment variable not set. "
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"Please create a .env file with this variable."
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)
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root_agent = LlmAgent(
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model="gemini-2.0-flash",
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name="postgres_agent",
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instruction=(
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"You are a PostgreSQL database assistant. "
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"Use the provided tools to query, manage, and interact with "
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"the PostgreSQL database. Ask clarifying questions when unsure."
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),
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tools=[
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MCPToolset(
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connection_params=StdioConnectionParams(
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server_params=StdioServerParameters(
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command="uvx",
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args=["postgres-mcp", "--access-mode=unrestricted"],
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env={"DATABASE_URI": POSTGRES_CONNECTION_STRING},
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),
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timeout=60,
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),
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)
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],
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generate_content_config=GenerateContentConfig(
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temperature=0.2,
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top_p=0.95,
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),
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)
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