GRIN MCP Server for LlamaIndex 12 tools — connect in under 2 minutes
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add GRIN as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
mcp_client = BasicMCPClient("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
mcp_tool_spec = McpToolSpec(client=mcp_client)
tools = await mcp_tool_spec.to_tool_list_async()
agent = FunctionAgent(
tools=tools,
llm=OpenAI(model="gpt-4o"),
system_prompt=(
"You are an assistant with access to GRIN. "
"You have 12 tools available."
),
)
response = await agent.run(
"What tools are available in GRIN?"
)
print(response)
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.
LlamaIndex agents combine GRIN tool responses with indexed documents for comprehensive, grounded answers. Connect 12 tools through Vinkius and query live data alongside vector stores and SQL databases in a single turn. ideal for hybrid search, data enrichment, and analytical workflows.
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 LlamaIndex 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 LlamaIndex via MCP
Follow these steps to integrate the GRIN MCP Server with LlamaIndex.
Install dependencies
Run pip install llama-index-tools-mcp llama-index-llms-openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save to agent.py and run: python agent.py
Explore tools
The agent discovers 12 tools from GRIN
Why Use LlamaIndex with the GRIN MCP Server
LlamaIndex provides unique advantages when paired with GRIN through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine GRIN tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain GRIN tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query GRIN, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what GRIN tools were called, what data was returned, and how it influenced the final answer
GRIN + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the GRIN MCP Server delivers measurable value.
Hybrid search: combine GRIN real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query GRIN to augment indexed data with live information before generating user-facing responses
Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying GRIN for fresh data
Analytical workflows: chain GRIN queries with LlamaIndex's data connectors to build multi-source analytical reports
GRIN MCP Tools for LlamaIndex (12)
These 12 tools become available when you connect GRIN to LlamaIndex 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 LlamaIndex
Ready-to-use prompts you can give your LlamaIndex 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 LlamaIndex
Common issues when connecting GRIN to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpGRIN + LlamaIndex FAQ
Common questions about integrating GRIN MCP Server with LlamaIndex.
How does LlamaIndex connect to MCP servers?
Can I combine MCP tools with vector stores?
Does LlamaIndex support async MCP 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.
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 GRIN to LlamaIndex
Get your token, paste the configuration, and start using 12 tools in under 2 minutes. No API key management needed.