GRIN MCP Server for AutoGen 12 tools — connect in under 2 minutes
Microsoft AutoGen enables multi-agent conversations where agents negotiate, delegate, and execute tasks collaboratively. Add GRIN as an MCP tool provider through 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="grin_agent",
tools=tools,
system_message=(
"You help users with GRIN. "
"12 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 GRIN MCP Server
Connect your GRIN Creator Management account to any AI agent and take full control of your influencer marketing workflows through natural conversation.
AutoGen enables multi-agent conversations where agents negotiate, delegate, and collaboratively use GRIN tools. Connect 12 tools through 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
- CRM Orchestration — List and retrieve detailed creator profiles, social handles, and custom properties natively
- Campaign Management — Monitor active influencer campaigns and track specific creator activations flawlessly
- Content Oversight — Access and review the library of posts, stories, and media generated by your creators synchronously
- Performance Tracking — Retrieve conversion data and ROI metrics attributed to specific influencers flawlessly
- Logistics & Seeding — Manage product seeding orders and fulfillment statuses sent to creators natively
- Partnership Navigation — List and verify formal brand-creator relationships and manage payouts synchronously
The GRIN MCP Server exposes 12 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 GRIN to AutoGen via MCP
Follow these steps to integrate the GRIN 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 12 tools from GRIN automatically
Why Use AutoGen with the GRIN MCP Server
AutoGen provides unique advantages when paired with GRIN through the Model Context Protocol.
Multi-agent conversations: multiple AutoGen agents discuss, delegate, and collaboratively use GRIN tools to solve complex tasks
Role-based architecture lets you assign GRIN 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 GRIN tool calls
Code execution sandbox: AutoGen agents can write and run code that processes GRIN tool responses in an isolated environment
GRIN + AutoGen Use Cases
Practical scenarios where AutoGen combined with the GRIN MCP Server delivers measurable value.
Collaborative analysis: one agent queries GRIN while another validates results and a third generates the final report
Automated review pipelines: a researcher agent fetches data from GRIN, a critic agent evaluates quality, and a writer produces the output
Interactive planning: agents negotiate task allocation using GRIN data to make informed decisions about resource distribution
Code generation with live data: an AutoGen coder agent writes scripts that process GRIN responses in a sandboxed execution environment
GRIN MCP Tools for AutoGen (12)
These 12 tools become available when you connect GRIN to AutoGen via MCP:
get_campaign
Get details for a specific campaign
get_contact
Get details for a specific creator
get_me
Get details for the current GRIN account
list_activations
Track creator participations within a campaign
list_campaigns
List active and past influencer campaigns
list_contacts
List all creators/influencers in the CRM
list_content
Access the library of posts and stories generated by creators
list_conversions
Track sales and ROI attributed to influencers
list_orders
Manage product seeding and fulfillment orders
list_partnerships
Manage formal brand-creator relationships
list_payments
List and manage creator payouts
update_contact
Update properties for a specific creator
Example Prompts for GRIN in AutoGen
Ready-to-use prompts you can give your AutoGen agent to start working with GRIN immediately.
"List my influencer campaigns in GRIN"
"Show the conversion data for @janesmith"
"Check the status of seeding order #GF-88392"
Troubleshooting GRIN MCP Server with AutoGen
Common issues when connecting GRIN to AutoGen through the Vinkius, and how to resolve them.
McpWorkbench not found
pip install "autogen-ext[mcp]"GRIN + AutoGen FAQ
Common questions about integrating GRIN 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 GRIN 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.
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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 GRIN to AutoGen
Get your token, paste the configuration, and start using 12 tools in under 2 minutes. No API key management needed.
