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PushPress MCP Server for LlamaIndex 8 tools — connect in under 2 minutes

Built by Vinkius GDPR 8 Tools Framework

LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add PushPress as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.

Vinkius supports streamable HTTP and SSE.

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 PushPress. "
            "You have 8 tools available."
        ),
    )

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

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

Connect your PushPress gym to any AI agent.

LlamaIndex agents combine PushPress tool responses with indexed documents for comprehensive, grounded answers. Connect 8 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.

  • Members — Search, profiles, billing
  • Check-ins — Daily visits with method tracking
  • Classes — Group classes with coach and capacity
  • Plans — Memberships, punch cards, trials
  • Appointments — PT and private coaching
  • Messages — Emails, push, SMS
  • Webhooks — Real-time event notifications
Built for CrossFit boxes, independent gyms, and S&C facilities.

The PushPress MCP Server exposes 8 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 PushPress to LlamaIndex via MCP

Follow these steps to integrate the PushPress MCP Server with LlamaIndex.

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 8 tools from PushPress

Why Use LlamaIndex with the PushPress MCP Server

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

01

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

02

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

03

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

04

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

PushPress + LlamaIndex Use Cases

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

01

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

02

Data enrichment: query PushPress 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 PushPress for fresh data

04

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

PushPress MCP Tools for LlamaIndex (8)

These 8 tools become available when you connect PushPress to LlamaIndex via MCP:

01

get_customer

Get member profile

02

list_appointments

List PT appointments

03

list_checkins

List gym check-ins

04

list_classes

List scheduled classes

05

list_messages

List sent messages

06

list_plans

Includes pricing and billing cycle. List membership plans

07

list_webhooks

List active webhooks

08

search_customers

Returns profile, active plan, check-in count, and billing status. Search gym members

Example Prompts for PushPress in LlamaIndex

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

01

"How many people checked in today?"

02

"Who is enrolled in the 6 AM CrossFit class today?"

03

"Which members have a billing issue right now?"

Troubleshooting PushPress MCP Server with LlamaIndex

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

01

BasicMCPClient not found

Install: pip install llama-index-tools-mcp

PushPress + LlamaIndex FAQ

Common questions about integrating PushPress 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 PushPress 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.

Connect PushPress to LlamaIndex

Get your token, paste the configuration, and start using 8 tools in under 2 minutes. No API key management needed.