How do I get an API Token for Fulcrum?

Log in to your Fulcrum web app, click the Settings (gear icon), select 'API', and you can generate a new API Token.

Can I run SQL queries on my field data?

Yes! Use the 'query_records_sql' tool. Provide a standard SQL statement (e.g., SELECT * FROM "form_id") to instantly retrieve filtered datasets.

Is it possible to see the schema of a form?

Absolutely. The 'get_form_schema' tool retrieves the complete JSON definition of a form, including all its field keys, data types, and validation rules.

Can I programmatically create a new record?

Yes, you can use the 'create_record' tool. You will need the Form ID, latitude, longitude, and a JSON payload containing the specific form values.

Fulcrum MCP Server for LlamaIndex 10 tools — connect in under 2 minutes

Name: Fulcrum
Availability: InStock
Author: Vinkius

docs.llamaindex.ai/en/stable/module_guides/tools/mcp

Built by Vinkius GDPR 10 Tools Framework

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

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

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 Fulcrum. "
            "You have 10 tools available."
        ),
    )

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

asyncio.run(main())

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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 Fulcrum MCP Server

Connect your Fulcrum environment to any AI agent to automate your field data collection and mobile inspection workflows through the Model Context Protocol (MCP). Fulcrum is a no-code mobile data collection platform used to build custom apps for field inspections, surveys, and inventory management. This MCP server enables you to retrieve dynamic form schemas, list collected records, and query massive datasets directly through natural conversation.

LlamaIndex agents combine Fulcrum tool responses with indexed documents for comprehensive, grounded answers. Connect 10 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.

Key Features

Form Discovery — List all data collection apps (forms) and fetch detailed schemas including field definitions and validation logic.
Record Management — Access and retrieve collected field data, or create new records programmatically to keep your database updated.
Data Querying — Execute powerful SQL queries against the Fulcrum Query API to instantly retrieve and filter large datasets.
Team Oversight — List all organization members and system roles to manage user access and field workforce deployment.
Webhook Integration — Monitor configured webhooks to ensure your downstream systems are receiving real-time data syncs.
Real-time Synchronization — Keep your field intelligence accessible to your AI assistant without leaving your primary workspace.

The Fulcrum MCP Server exposes 10 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 Fulcrum to LlamaIndex via MCP

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

Install dependencies

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

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

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

Explore tools

The agent discovers 10 tools from Fulcrum

Why Use LlamaIndex with the Fulcrum MCP Server

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

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

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

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

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

Fulcrum + LlamaIndex Use Cases

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

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

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

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

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

Fulcrum MCP Tools for LlamaIndex (10)

These 10 tools become available when you connect Fulcrum to LlamaIndex via MCP:

check_api_status

Verify API connection

create_record

Create data record

get_form_schema

Get form schema

get_record_details

Get record metadata

list_data_forms

List apps/forms

list_field_records

Can be filtered by form ID. List field data records

list_member_roles

g. Owner, Manager, Standard). List roles

list_organization_members

List team members

list_webhooks

List webhook configs

query_records_sql

Query data with SQL

Example Prompts for Fulcrum in LlamaIndex

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

"List all active forms/apps in my Fulcrum account."

"Run a SQL query to get the last 5 records from form 'form_123'."

"Show me the field schema for the 'Asset Inventory' form (ID: form_456)."

Troubleshooting Fulcrum MCP Server with LlamaIndex

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

BasicMCPClient not found

Install: pip install llama-index-tools-mcp

Fulcrum + LlamaIndex FAQ

Common questions about integrating Fulcrum MCP Server with LlamaIndex.

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.

Can I combine MCP tools with vector stores?

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