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iFax MCP Server for LlamaIndexGive LlamaIndex instant access to 6 tools to Cancel Fax, Download Fax, Get Fax Status, and more

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

The iFax app connector for LlamaIndex is a standout in the Communication Messaging category — giving your AI agent 6 tools to work with, ready to go from day one.

Vinkius delivers Streamable HTTP and SSE to any MCP client

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 iFax. "
            "You have 6 tools available."
        ),
    )

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

asyncio.run(main())
iFax
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About iFax MCP Server

Connect your iFax account to any AI agent and manage fax communications through natural conversation.

LlamaIndex agents combine iFax tool responses with indexed documents for comprehensive, grounded answers. Connect 6 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

  • Send Faxes — Transmit documents to fax numbers worldwide with delivery confirmation
  • Track Status — Monitor real-time delivery status of sent faxes
  • Fax History — Browse all sent and received faxes with timestamps and status
  • Cancel Pending — Cancel faxes that haven't been transmitted yet
  • Resend Failed — Retry failed fax transmissions automatically
  • Download Documents — Retrieve received fax documents as files

The iFax MCP Server exposes 6 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.

All 6 iFax tools available for LlamaIndex

When LlamaIndex connects to iFax through Vinkius, your AI agent gets direct access to every tool listed below — spanning cloud-fax, document-exchange, hipaa-compliance, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.

cancel_fax

Cancel a pending fax

download_fax

Download a fax document

get_fax_status

Check fax delivery status

list_faxes

List sent faxes

resend_fax

Resend a failed fax

send_fax

Pass faxData as a JSON string containing the file metadata and base64 content. Send a new fax

Connect iFax to LlamaIndex via MCP

Follow these steps to wire iFax into LlamaIndex. The entire setup takes under two minutes — your credentials stay safe behind the 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 6 tools from iFax

Why Use LlamaIndex with the iFax MCP Server

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

01

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

02

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

03

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

04

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

iFax + LlamaIndex Use Cases

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

01

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

02

Data enrichment: query iFax 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 iFax for fresh data

04

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

Example Prompts for iFax in LlamaIndex

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

01

"Send a fax with the Q2 report to +1-555-0123 and check its delivery status."

02

"Show my fax history and resend any that failed."

03

"Download the latest received fax and cancel the pending transmission."

Troubleshooting iFax MCP Server with LlamaIndex

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

01

BasicMCPClient not found

Install: pip install llama-index-tools-mcp

iFax + LlamaIndex FAQ

Common questions about integrating iFax 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 iFax 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.