Fieldfolio 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 Fieldfolio 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 Fieldfolio. "
"You have 12 tools available."
),
)
response = await agent.run(
"What tools are available in Fieldfolio?"
)
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 Fieldfolio MCP Server
Fieldfolio is a leading B2B wholesale marketplace. This MCP server allows your AI agent to interact with your Fieldfolio seller account flawlessly.
LlamaIndex agents combine Fieldfolio 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.
Key Features
- Product Orchestration — List all items in your wholesale catalog and fetch detailed metadata for specific products natively.
- Order Management — Retrieve and inspect wholesale orders to stay updated on fulfillment and sales flawlessly.
- Inventory Intelligence — Query real-time stock levels and update inventory quantities directly from the agent flawlessy.
- Customer CRM — Access retail customer profiles and order history to personalize business relationships flawlessly.
- Catalog Search — Search your entire wholesale catalog by keyword to quickly find specific items flawlessly.
- Webhook Auditing — List active webhooks to ensure your third-party integrations are synchronized flawlessly.
The Fieldfolio 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 Fieldfolio to LlamaIndex via MCP
Follow these steps to integrate the Fieldfolio 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 Fieldfolio
Why Use LlamaIndex with the Fieldfolio MCP Server
LlamaIndex provides unique advantages when paired with Fieldfolio through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine Fieldfolio tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain Fieldfolio tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query Fieldfolio, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what Fieldfolio tools were called, what data was returned, and how it influenced the final answer
Fieldfolio + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the Fieldfolio MCP Server delivers measurable value.
Hybrid search: combine Fieldfolio real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query Fieldfolio 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 Fieldfolio for fresh data
Analytical workflows: chain Fieldfolio queries with LlamaIndex's data connectors to build multi-source analytical reports
Fieldfolio MCP Tools for LlamaIndex (12)
These 12 tools become available when you connect Fieldfolio to LlamaIndex via MCP:
get_customer
Get details for a specific retail customer
get_me
Get details for the authorized seller account
get_order
Get details for a specific wholesale order
get_product
Get details for a specific product
list_categories
List all product categories
list_customers
List all retail customers
list_inventory
List inventory levels for all products
list_orders
List all wholesale orders
list_products
List all products in your wholesale catalog
list_webhooks
List all configured webhooks
search_catalog
Search the wholesale catalog by keyword
update_inventory
Update inventory quantity for a specific product
Example Prompts for Fieldfolio in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with Fieldfolio immediately.
"List my active wholesale orders."
"Check the inventory level for 'Summer T-Shirt'."
"Search the catalog for 'Ceramic Vases'."
Troubleshooting Fieldfolio MCP Server with LlamaIndex
Common issues when connecting Fieldfolio to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpFieldfolio + LlamaIndex FAQ
Common questions about integrating Fieldfolio 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 Fieldfolio 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 Fieldfolio to LlamaIndex
Get your token, paste the configuration, and start using 12 tools in under 2 minutes. No API key management needed.