4,000+ servers built on vurb.ts
Vinkius

Formilla MCP Server for LlamaIndexGive LlamaIndex instant access to 12 tools to Check Formilla Status, Delete Contact, Get Contact, and more

MCP Inspector GDPR Free for Subscribers

LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Formilla 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 for LlamaIndex

The Formilla MCP Server for LlamaIndex is a standout in the Customer Support category — giving your AI agent 12 tools to work with, ready to go from day one.

Built for AI Agents by Vinkius

Vinkius delivers Streamable HTTP and SSE to any MCP client

ClaudeClaude
ChatGPTChatGPT
CursorCursor
GeminiGemini
WindsurfWindsurf
VS CodeVS Code
JetBrainsJetBrains
VercelVercel
+ other MCP clients
python
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 Formilla. "
            "You have 12 tools available."
        ),
    )

    response = await agent.run(
        "What tools are available in Formilla?"
    )
    print(response)

asyncio.run(main())
Formilla
Fully ManagedVinkius Servers
60%Token savings
High SecurityEnterprise-grade
IAMAccess control
EU AI ActCompliant
DLPData protection
V8 IsolateSandboxed
Ed25519Audit chain
<40msKill switch
Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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 Formilla MCP Server

Connect your Formilla account to any AI agent and take full control of your live chat contacts and customer data management through natural conversation.

LlamaIndex agents combine Formilla 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

  • Contact Orchestration — Create or update contact records programmatically, including managing names, emails, and phone numbers directly from your agent
  • Database Management — List all contacts in your Formilla account and retrieve detailed metadata to maintain a high-fidelity customer record
  • Visitor Intelligence — Find specific contacts by email to verify their support history and track custom attributes for personalized messaging
  • Secure Maintenance — Programmatically delete contacts from the system to maintain database hygiene and comply with privacy requests
  • Data Synchronization — Use unique identifiers (UserId) to seamlessly sync your external user data with Formilla's live chat ecosystem

The Formilla MCP Server exposes 12 tools through the Vinkius. Connect it to LlamaIndex in under two minutes — credentials fully managed, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

All 12 Formilla tools available for LlamaIndex

When LlamaIndex connects to Formilla through Vinkius, your AI agent gets direct access to every tool listed below — spanning real-time-chat, lead-qualification, in-app-messaging, and more. Every call runs in a secure, isolated environment with full audit visibility. Beyond a simple connection, you get real-time monitoring of agent activity, enterprise governance, and optimized token usage.

check

Check formilla status on Formilla

Verify connectivity

delete

Delete contact on Formilla

Delete a contact

get

Get contact on Formilla

Get contact details

get

Get contact by email on Formilla

Get contact by email

get

Get conversation on Formilla

Get conversation details

list

List contacts on Formilla

List contacts

list

List conversations on Formilla

List conversations

list

List segments on Formilla

List segments

list

List visitors on Formilla

List visitors

search

Search contacts on Formilla

Search contacts

update

Update contact on Formilla

Update a contact

upsert

Upsert contact on Formilla

Create or update contact

Connect Formilla to LlamaIndex via MCP

Follow these steps to wire Formilla into LlamaIndex. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.

01

Install dependencies

Run pip install llama-index-tools-mcp llama-index-llms-openai
02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token
03

Run the agent

Save to agent.py and run: python agent.py
04

Explore tools

The agent discovers 12 tools from Formilla

Why Use LlamaIndex with the Formilla MCP Server

LlamaIndex provides unique advantages when paired with Formilla through the Model Context Protocol.

01

Data-first architecture: LlamaIndex agents combine Formilla tool responses with indexed documents for comprehensive, grounded answers

02

Query pipeline framework lets you chain Formilla tool calls with transformations, filters, and re-rankers in a typed pipeline

03

Multi-source reasoning: agents can query Formilla, a vector store, and a SQL database in a single turn and synthesize results

04

Observability integrations show exactly what Formilla tools were called, what data was returned, and how it influenced the final answer

Formilla + LlamaIndex Use Cases

Practical scenarios where LlamaIndex combined with the Formilla MCP Server delivers measurable value.

01

Hybrid search: combine Formilla real-time data with embedded document indexes for answers that are both current and comprehensive

02

Data enrichment: query Formilla to augment indexed data with live information before generating user-facing responses

03

Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying Formilla for fresh data

04

Analytical workflows: chain Formilla queries with LlamaIndex's data connectors to build multi-source analytical reports

Example Prompts for Formilla in LlamaIndex

Ready-to-use prompts you can give your LlamaIndex agent to start working with Formilla immediately.

01

"List all my current contacts in Formilla."

02

"Update contact 'john@example.com' with phone '+15551234567'."

03

"Find the contact details for 'sarah.smith@example.com'."

Troubleshooting Formilla MCP Server with LlamaIndex

Common issues when connecting Formilla to LlamaIndex through Vinkius, and how to resolve them.

01

BasicMCPClient not found

Install: pip install llama-index-tools-mcp

Formilla + LlamaIndex FAQ

Common questions about integrating Formilla MCP Server with LlamaIndex.

01

How does LlamaIndex connect to MCP servers?

Use the MCP client adapter to create a connection. LlamaIndex discovers all tools and wraps them as query engine tools compatible with any LlamaIndex agent.
02

Can I combine MCP tools with vector stores?

Yes. LlamaIndex agents can query Formilla tools and vector store indexes in the same turn, combining real-time and embedded data for grounded responses.
03

Does LlamaIndex support async MCP calls?

Yes. LlamaIndex's async agent framework supports concurrent MCP tool calls for high-throughput data processing pipelines.

Explore More MCP Servers

View all →