Reflect MCP Server for Google ADK 10 tools — connect in under 2 minutes
Google Agent Development Kit (ADK) is Google's framework for building production AI agents. Add Reflect as an MCP tool provider through the Vinkius and your ADK agents can call every tool with full schema introspection.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
from google.adk.agents import Agent
from google.adk.tools.mcp_tool import McpToolset
from google.adk.tools.mcp_tool.mcp_session_manager import (
StreamableHTTPConnectionParams,
)
# Your Vinkius token — get it at cloud.vinkius.com
mcp_tools = McpToolset(
connection_params=StreamableHTTPConnectionParams(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
)
)
agent = Agent(
model="gemini-2.5-pro",
name="reflect_agent",
instruction=(
"You help users interact with Reflect "
"using 10 available tools."
),
tools=[mcp_tools],
)
* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
About Reflect MCP Server
Connect your Reflect account securely to your AI agent via their developer API. This integration grants your AI the ability to directly explore your networked thought graph, lookup personal notes, manage book highlights, and append daily thoughts asynchronously from your conversation interface.
Google ADK natively supports Reflect as an MCP tool provider — declare the Vinkius Edge URL and the framework handles discovery, validation, and execution automatically. Combine 10 tools with Gemini's long-context reasoning for complex multi-tool workflows, with production-ready session management and evaluation built in.
What you can do
- Explore Your Graph — Direct your AI to investigate connected insights within your Reflect graphs (
list_graphs). Request lists of your notes (list_notes) or retrieve the specific Markdown content of a single note (get_note). - Capture Ideas Instantly — Ask the agent to establish new permanent notes (
create_note) or quickly dump conversational insights, summaries, and tasks straight into your daily note (append_daily_note). - Analyze Connections — Instruct the AI to map out your thoughts by retrieving all backlinks pointing to a specific subject (
get_backlinks). - Save Links & Books — Let your AI automatically bookmark URLs (
create_link), browse your saved bookmarks (list_links), or explore your imported library of book highlights (list_books).
The Reflect MCP Server exposes 10 tools through the Vinkius. Connect it to Google ADK in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
How to Connect Reflect to Google ADK via MCP
Follow these steps to integrate the Reflect MCP Server with Google ADK.
Install Google ADK
Run pip install google-adk
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Create the agent
Save the code above and integrate into your ADK workflow
Explore tools
The agent will discover 10 tools from Reflect via MCP
Why Use Google ADK with the Reflect MCP Server
Google ADK provides unique advantages when paired with Reflect through the Model Context Protocol.
Google ADK natively supports MCP tool servers — declare a tool provider and the framework handles discovery, validation, and execution
Built on Gemini models, ADK provides long-context reasoning ideal for complex multi-tool workflows with Reflect
Production-ready features like session management, evaluation, and deployment come built-in — not bolted on
Seamless integration with Google Cloud services means you can combine Reflect tools with BigQuery, Vertex AI, and Cloud Functions
Reflect + Google ADK Use Cases
Practical scenarios where Google ADK combined with the Reflect MCP Server delivers measurable value.
Enterprise data agents: ADK agents query Reflect and cross-reference results with internal databases for comprehensive analysis
Multi-modal workflows: combine Reflect tool responses with Gemini's vision and language capabilities in a single agent
Automated compliance checks: schedule ADK agents to query Reflect regularly and flag policy violations or configuration drift
Internal tool platforms: build self-service agent platforms where teams connect their own MCP servers including Reflect
Reflect MCP Tools for Google ADK (10)
These 10 tools become available when you connect Reflect to Google ADK via MCP:
append_daily_note
Optionally specify a list/heading name. Appends Markdown text to today's daily note
create_link
Reflect will automatically attempt to extract metadata. Saves a new web link/bookmark to a Reflect graph
create_note
Specify subject and Markdown content. Creates a new note in a Reflect graph
get_backlinks
Retrieves all notes that link to a specific note
get_current_user
Retrieves profile details for the authenticated Reflect user
get_note
Retrieves the full content and metadata of a Reflect note
list_books
Lists all books saved or imported into Reflect
list_graphs
Lists all Reflect graphs (workspaces) accessible by the user
list_links
Lists all saved links (bookmarks) in a graph
list_notes
Lists all notes within a specific Reflect graph
Example Prompts for Reflect in Google ADK
Ready-to-use prompts you can give your Google ADK agent to start working with Reflect immediately.
"List all available graphs in my Reflect account."
"Create a permanent note titled 'Meeting 2024 Strategy' inside my 'Personal Brain' graph with summary bullet points."
"Find notes linked by backlinks that point to my note 'React Learnings'."
Troubleshooting Reflect MCP Server with Google ADK
Common issues when connecting Reflect to Google ADK through the Vinkius, and how to resolve them.
McpToolset not found
pip install --upgrade google-adkReflect + Google ADK FAQ
Common questions about integrating Reflect MCP Server with Google ADK.
How does Google ADK connect to MCP servers?
Can ADK agents use multiple MCP servers?
Which Gemini models work best with MCP tools?
Connect Reflect with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Reflect to Google ADK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.