CompanyCam MCP Server for LlamaIndex 10 tools — connect in under 2 minutes
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add CompanyCam 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 MCP SERVER
Vinkius supports streamable HTTP and SSE.
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 CompanyCam. "
"You have 10 tools available."
),
)
response = await agent.run(
"What tools are available in CompanyCam?"
)
print(response)
asyncio.run(main())
* 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 CompanyCam MCP Server
Connect your AI assistant to CompanyCam, the photo-first documentation platform built for contractors and field service teams.
LlamaIndex agents combine CompanyCam 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.
What you can do
- Project Browsing — List and search projects by name, address, or status to find jobsite records quickly.
- Photo Management — Retrieve photos for any project, view timestamps and GPS coordinates, and check annotations.
- Team Overview — Check current user info, roles, and company account details.
The CompanyCam 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 CompanyCam to LlamaIndex via MCP
Follow these steps to integrate the CompanyCam 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 CompanyCam
Why Use LlamaIndex with the CompanyCam MCP Server
LlamaIndex provides unique advantages when paired with CompanyCam through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine CompanyCam tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain CompanyCam tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query CompanyCam, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what CompanyCam tools were called, what data was returned, and how it influenced the final answer
CompanyCam + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the CompanyCam MCP Server delivers measurable value.
Hybrid search: combine CompanyCam real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query CompanyCam 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 CompanyCam for fresh data
Analytical workflows: chain CompanyCam queries with LlamaIndex's data connectors to build multi-source analytical reports
CompanyCam MCP Tools for LlamaIndex (10)
These 10 tools become available when you connect CompanyCam to LlamaIndex via MCP:
create_project
Create a new project in CompanyCam
get_current_user
Retrieve details of the authenticated user
get_photo_details
Retrieve details of a specific photo
get_project
Retrieve detailed information about a specific project
list_all_photos
Retrieve a list of photos across all projects in the company
list_project_documents
Retrieve a list of documents attached to a project
list_project_photos
Retrieve all photos associated with a specific project
list_projects
Retrieve a list of projects from CompanyCam
list_users
Retrieve a list of all users in your company
search_projects
Quickly find a project by name
Example Prompts for CompanyCam in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with CompanyCam immediately.
"Show me the first 20 projects in CompanyCam."
"List all photos for project 'proj-xxxx'."
"Create a new project at '456 Maple Drive'."
Troubleshooting CompanyCam MCP Server with LlamaIndex
Common issues when connecting CompanyCam to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpCompanyCam + LlamaIndex FAQ
Common questions about integrating CompanyCam MCP Server with LlamaIndex.
How does LlamaIndex connect to MCP servers?
Can I combine MCP tools with vector stores?
Does LlamaIndex support async MCP calls?
Connect CompanyCam with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
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Purpose-built IDE for agentic AI coding workflows.
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Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect CompanyCam to LlamaIndex
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.