Reflect MCP Server for AutoGen 10 tools — connect in under 2 minutes
Microsoft AutoGen enables multi-agent conversations where agents negotiate, delegate, and execute tasks collaboratively. Add Reflect as an MCP tool provider through the Vinkius and every agent in the group can access live data and take action.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.tools.mcp import McpWorkbench
async def main():
# Your Vinkius token — get it at cloud.vinkius.com
async with McpWorkbench(
server_params={"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"},
transport="streamable_http",
) as workbench:
tools = await workbench.list_tools()
agent = AssistantAgent(
name="reflect_agent",
tools=tools,
system_message=(
"You help users with Reflect. "
"10 tools available."
),
)
print(f"Agent ready with {len(tools)} tools")
asyncio.run(main())
* 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.
AutoGen enables multi-agent conversations where agents negotiate, delegate, and collaboratively use Reflect tools. Connect 10 tools through the Vinkius and assign role-based access — a data analyst queries while a reviewer validates, with optional human-in-the-loop approval for sensitive operations.
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 AutoGen 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 AutoGen via MCP
Follow these steps to integrate the Reflect MCP Server with AutoGen.
Install AutoGen
Run pip install "autogen-ext[mcp]"
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Integrate into workflow
Use the agent in your AutoGen multi-agent orchestration
Explore tools
The workbench discovers 10 tools from Reflect automatically
Why Use AutoGen with the Reflect MCP Server
AutoGen provides unique advantages when paired with Reflect through the Model Context Protocol.
Multi-agent conversations: multiple AutoGen agents discuss, delegate, and collaboratively use Reflect tools to solve complex tasks
Role-based architecture lets you assign Reflect tool access to specific agents — a data analyst queries while a reviewer validates
Human-in-the-loop support: agents can pause for human approval before executing sensitive Reflect tool calls
Code execution sandbox: AutoGen agents can write and run code that processes Reflect tool responses in an isolated environment
Reflect + AutoGen Use Cases
Practical scenarios where AutoGen combined with the Reflect MCP Server delivers measurable value.
Collaborative analysis: one agent queries Reflect while another validates results and a third generates the final report
Automated review pipelines: a researcher agent fetches data from Reflect, a critic agent evaluates quality, and a writer produces the output
Interactive planning: agents negotiate task allocation using Reflect data to make informed decisions about resource distribution
Code generation with live data: an AutoGen coder agent writes scripts that process Reflect responses in a sandboxed execution environment
Reflect MCP Tools for AutoGen (10)
These 10 tools become available when you connect Reflect to AutoGen 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 AutoGen
Ready-to-use prompts you can give your AutoGen 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 AutoGen
Common issues when connecting Reflect to AutoGen through the Vinkius, and how to resolve them.
McpWorkbench not found
pip install "autogen-ext[mcp]"Reflect + AutoGen FAQ
Common questions about integrating Reflect MCP Server with AutoGen.
How does AutoGen connect to MCP servers?
Can different agents have different MCP tool access?
Does AutoGen support human approval for tool calls?
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 AutoGen
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.