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Swiftfox MCP Server for LlamaIndexGive LlamaIndex instant access to 11 tools to Check Swiftfox Status, Get Event Fields, Get Me, and more

Built by Vinkius GDPR 11 Tools Framework

LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Swiftfox 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 Swiftfox app connector for LlamaIndex is a standout in the Communication Messaging category — giving your AI agent 11 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 Swiftfox. "
            "You have 11 tools available."
        ),
    )

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

asyncio.run(main())
Swiftfox
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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 Swiftfox MCP Server

Connect your Swiftfox account to any AI agent and take full control of your member management, engagement strategy, and communication campaigns through natural conversation.

LlamaIndex agents combine Swiftfox tool responses with indexed documents for comprehensive, grounded answers. Connect 11 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

  • Member Management — List, query, and update individual member profiles and custom data fields.
  • Interaction Tracking — Log notes, calls, and meetings to maintain a complete history of member engagement.
  • Campaign Insights — Monitor the performance of your communication campaigns and verify outreach success.
  • Event Monitoring — List and query interactions to stay on top of your community activity.
  • Operational Status — Fetch account metadata and check API connectivity directly from the agent.

The Swiftfox MCP Server exposes 11 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 11 Swiftfox tools available for LlamaIndex

When LlamaIndex connects to Swiftfox through Vinkius, your AI agent gets direct access to every tool listed below — spanning member-management, campaign-management, engagement-strategy, 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.

check_swiftfox_status

Returns a status indicator and account metadata to confirm valid credentials and active connectivity. Verify Swiftfox API connectivity

get_event_fields

Useful for understanding the data schema before creating or filtering events. Get custom field definitions for events

get_me

Use this to verify connectivity or obtain the current user context. Get the authenticated Swiftfox user profile

get_organization

Get full details of a specific organization in Swiftfox

get_person

Get full details of a specific person in Swiftfox

list_circles

Optionally filter by a search term matching circle names. List circles (groups/domains/units) in Swiftfox

list_events

Events represent meetings, functions, or activities organized within the CRM. List events in Swiftfox CRM

list_organizations

Organizations represent companies, associations, or groups that people belong to. Optionally filter by search term. List organizations in Swiftfox CRM

list_people

Optionally filter by a search term that matches against names or other fields. List people (members) in Swiftfox CRM

list_person_subscriptions

Subscriptions track membership plans, payment status, and renewal dates. List subscriptions for a specific person

list_webhooks

Webhooks notify external services when specific events occur (e.g., member created, subscription updated). List configured webhooks in Swiftfox

Connect Swiftfox to LlamaIndex via MCP

Follow these steps to wire Swiftfox 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 11 tools from Swiftfox

Why Use LlamaIndex with the Swiftfox MCP Server

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

01

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

02

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

03

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

04

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

Swiftfox + LlamaIndex Use Cases

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

01

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

02

Data enrichment: query Swiftfox 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 Swiftfox for fresh data

04

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

Example Prompts for Swiftfox in LlamaIndex

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

01

"List the most recently active members in Swiftfox."

02

"Log a new interaction: 'Follow-up call completed' for member ID '10293'."

03

"Show me the details for member 'Martha Stewart'."

Troubleshooting Swiftfox MCP Server with LlamaIndex

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

01

BasicMCPClient not found

Install: pip install llama-index-tools-mcp

Swiftfox + LlamaIndex FAQ

Common questions about integrating Swiftfox 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 Swiftfox 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.