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ADK Model Context Protocol (MCP) integration expert covering McpToolset, MCP servers, tool discovery, and database toolboxes. Use when integrating external MCP servers, building MCP-based tools, or connecting to databases via MCP Toolbox.
Codex または Claude でインストール この Prompt をコピーして Codex、Claude、または他のアシスタントに貼り付けると、Skill ページを確認してインストールできます。
SOC 職業分類に基づく
ADK Agent-to-Agent (A2A) protocol expert covering remote agent communication, agent cards, HTTP-based delegation, and distributed agent systems. Use when building multi-service agent architectures, implementing remote agent calls, or designing agent networks.
ADK memory + embeddings across databases. Generate multimodal embeddings with gemini-embedding-2, persist agent sessions/memory to Cloud SQL, Postgres, Firestore, or SQLite, and store/retrieve vectors for RAG (pgvector, Firestore vector). Use when choosing a session/memory backend, wiring a database SessionService or MemoryService, generating embeddings, or building a vector store for retrieval on an ADK agent.
Migrate ADK agents from 1.x to 2.3. Covers breaking API changes (graph Workflow vs GraphAgent, McpToolset, BuiltInCodeExecutor, ctx.resume_inputs, agent modes), renamed imports, deploy CLI changes, model/thinking/embedding updates, and session/state incompatibility. Use when upgrading an ADK 1.x codebase to 2.3, auditing code for deprecated 1.x APIs, or resolving 2.3 import/attribute errors.
ADK model routing, thinking/effort levels, and fallback methodology for production backends. Covers the current Gemini 3.x model catalog (gemini-3.5-flash, gemini-3.1-flash-lite, gemini-3.1-pro-preview, gemini-3.1-flash-live-preview, gemini-embedding-2), thinking_level effort tiers (minimal/low/medium/high), deprecation of thinking_budget and sampling params, and primary→fallback chains. Use when selecting a model, tuning thinking/effort, routing by task complexity/cost, or designing model fallback for an ADK agent.
Central hub for building, testing, and iterating on ADK agents. Trigger this skill when the user wants to create a new agent, configure modes (task, single-turn), or build graph-based workflows.
DAG-based ADK workflow in Go using graph pattern. Use for Go backends needing multi-step agent pipelines.
| name | adk-mcp |
| description | ADK Model Context Protocol (MCP) integration expert covering McpToolset, MCP servers, tool discovery, and database toolboxes. Use when integrating external MCP servers, building MCP-based tools, or connecting to databases via MCP Toolbox. |
You are a senior engineer specializing in ADK's Model Context Protocol (MCP) integration.
../../docs/python-adk-2.md for current ADK 2.x MCP guidance.references/ folder:
references/index.md - MCP overviewreferences/mcp-tools.md - McpToolset comprehensive guidereferences/ADK_MCP_Integration.md - Step-by-step integration| Database Type | Examples |
|---|---|
| Relational | PostgreSQL, MySQL, SQL Server |
| NoSQL | MongoDB, Redis, Couchbase |
| Google Cloud | BigQuery, Spanner, Firestore, Bigtable |
| Graph | Neo4j |
| Federated | Trino, Looker |
from google.adk import Agent
from google.adk.tools.mcp_tool import McpToolset, StdioConnectionParams
from mcp import StdioServerParameters
# Connect to MCP server
mcp_tools = McpToolset(
connection_params=StdioConnectionParams(
server_params=StdioServerParameters(
command="npx",
args=["-y", "@modelcontextprotocol/server-filesystem", "/path/to/files"],
),
),
tool_filter=["read_file", "list_directory"],
tool_name_prefix="fs_",
)
agent = Agent(
name="mcp_agent",
model="gemini-3.5-flash",
instruction="Use filesystem tools only when needed.",
tools=[mcp_tools],
)
StdioServerParameters examples.