freee MCP Server for LlamaIndex 9 tools — connect in under 2 minutes
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add freee 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 freee. "
"You have 9 tools available."
),
)
response = await agent.run(
"What tools are available in freee?"
)
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 freee MCP Server
Connect your freee (Accounting/HR) account to any AI agent and take full control of your Japanese business operations and general ledger through natural conversation.
LlamaIndex agents combine freee tool responses with indexed documents for comprehensive, grounded answers. Connect 9 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
- Accounting Deal Orchestration — Extract explicit general ledger accounting entries including income, expense, and journal boundaries mapped to your Company ID natively
- Invoice State Auditing — Retrieve explicitly attached invoice statuses (sent, unsent, paid, overdue) to resolve your tenant's Accounts Receivable limits limitlessly
- Partner & Address Book Control — Enumerate official business counterparts linking precise vendor, customer, and tax ID profiles synchronously
- Expense Management — Analyze explicit expense claims submitted by employees and track managerial approval states before final settlement flawlessly
- Financial Account Oversight — Identify connected physical bank accounts, credit cards, and offline cash repositories tracked in your freee instance securely
- Tax Compliance Mapping — Execute bulk iterations tracking explicitly registered Japanese Tax mappings evaluating 8%, 10%, and reduced rates synchronously
- Deal Detail Inspection — Fetch strict sub-entry details for specific deals to view settlement flags and connected bank sync boundaries natively
The freee MCP Server exposes 9 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 freee to LlamaIndex via MCP
Follow these steps to integrate the freee 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 9 tools from freee
Why Use LlamaIndex with the freee MCP Server
LlamaIndex provides unique advantages when paired with freee through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine freee tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain freee tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query freee, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what freee tools were called, what data was returned, and how it influenced the final answer
freee + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the freee MCP Server delivers measurable value.
Hybrid search: combine freee real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query freee 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 freee for fresh data
Analytical workflows: chain freee queries with LlamaIndex's data connectors to build multi-source analytical reports
freee MCP Tools for LlamaIndex (9)
These 9 tools become available when you connect freee to LlamaIndex via MCP:
get_deal
Get deal details
get_partner
Get partner details
list_accounts
List all account items
list_deals
List all accounting deals (transactions)
list_expenses
List expense applications
list_invoices
List all invoices
list_partners
List all business partners
list_taxes
List tax codes
list_walletables
List bank accounts and wallets
Example Prompts for freee in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with freee immediately.
"List the last 5 accounting deals in freee"
"Show me pending expense applications"
"What are my active bank accounts in freee?"
Troubleshooting freee MCP Server with LlamaIndex
Common issues when connecting freee to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpfreee + LlamaIndex FAQ
Common questions about integrating freee 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 freee 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 freee to LlamaIndex
Get your token, paste the configuration, and start using 9 tools in under 2 minutes. No API key management needed.