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PreciseFP MCP Server for LlamaIndexGive LlamaIndex instant access to 13 tools to Create Form Engagement, Create Person, Get Account, and more

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LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add PreciseFP 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 PreciseFP app connector for LlamaIndex is a standout in the Industry Titans category — giving your AI agent 13 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 PreciseFP. "
            "You have 13 tools available."
        ),
    )

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

asyncio.run(main())
PreciseFP
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* 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 PreciseFP MCP Server

Connect your PreciseFP account to any AI agent and take full control of your financial planning data orchestration through natural conversation. PreciseFP is the premier platform for data gathering in the wealth management industry, and this integration allows you to retrieve client metadata, monitor engagement progress, and trigger custom 'Fact Finder' forms directly from your chat interface.

LlamaIndex agents combine PreciseFP tool responses with indexed documents for comprehensive, grounded answers. Connect 13 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

  • Account & Client Orchestration — List all managed client and prospect accounts and retrieve detailed profile metadata programmatically to ensure your onboarding is always synchronized.
  • Person & Profile Intelligence — Access and monitor individual person records within accounts and create new profiles directly from the AI interface to maintain a high-fidelity database.
  • Engagement & Form Control — List and trigger form engagements (like tax updates or risk profiles) via natural language to drive better data collection efficiency.
  • Template Discovery — Access your library of form and PDF templates to ensure you always send the correct data requests to your clients.
  • Operational Monitoring — Track account activity history and manage engagement metadata using simple AI commands.

The PreciseFP MCP Server exposes 13 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 13 PreciseFP tools available for LlamaIndex

When LlamaIndex connects to PreciseFP through Vinkius, your AI agent gets direct access to every tool listed below — spanning wealth-management, data-intake, financial-planning, 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.

create_form_engagement

Send a form to a client (Engagement)

create_person

g., co-client, child, beneficiary) within an existing account. Add a person to an account

get_account

Get PreciseFP account details

get_account_activity

Get activity history for an account

get_form_engagement

Get details for a form engagement

get_form_template

Get form template details

get_pdf_template

Get PDF template details

get_person

Get details for a person

list_accounts

Supports filtering by name or type. List PreciseFP accounts

list_form_engagements

List recent form engagements

list_form_templates

List available form templates

list_pdf_templates

List available PDF templates

list_persons

List persons in an account

Connect PreciseFP to LlamaIndex via MCP

Follow these steps to wire PreciseFP 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 13 tools from PreciseFP

Why Use LlamaIndex with the PreciseFP MCP Server

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

01

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

02

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

03

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

04

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

PreciseFP + LlamaIndex Use Cases

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

01

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

02

Data enrichment: query PreciseFP 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 PreciseFP for fresh data

04

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

Example Prompts for PreciseFP in LlamaIndex

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

01

"List all active client accounts in PreciseFP."

02

"Show me all pending client questionnaires that have not been completed in the last 14 days."

03

"Send the retirement planning questionnaire to the Johnson family with a 7 day deadline."

Troubleshooting PreciseFP MCP Server with LlamaIndex

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

01

BasicMCPClient not found

Install: pip install llama-index-tools-mcp

PreciseFP + LlamaIndex FAQ

Common questions about integrating PreciseFP 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 PreciseFP 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.