How to Use the CompanyCam MCP in LlamaIndex

Q: Does LlamaIndex support filtering CompanyCam tools?

You can use the allowedtools filter to restrict your agent to specific functions. This keeps your index clean and focused.

Index your entire jobsite history into LlamaIndex for semantic search and grounded answers.

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Connect CompanyCam MCP to LlamaIndex

Create your Vinkius account to connect CompanyCam to LlamaIndex and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup CompanyCam with LlamaIndex

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Index project photos in LlamaIndex

Pipe the results of `list_all_photos` directly into your vector store. Your LlamaIndex application builds a searchable index of every jobsite image you own. This allows for natural language queries across your media. Ask about site conditions, and the index provides the relevant image data.

Ground LlamaIndex answers with documentation

Fetch site documents using `list_project_documents` and add them to your knowledge base. Your RAG app now references actual project files. This removes the guesswork. When you ask a question about a project, the system pulls from the actual documents attached to that specific job.

Search projects via LlamaIndex

Use `search_projects` to locate specific job identifiers within your vector index. You get immediate access to the right project metadata without manual filtering. This makes finding a needle in a haystack trivial. Your agent queries the index, retrieves the project, and presents the info you need.

Setup guide

Set up CompanyCam MCP in LlamaIndex

Prerequisites

Python 3.10+ installed
llama-index-tools-mcp package
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run pip install llama-index-tools-mcp llama-index-llms-openai. The MCP tools package provides BasicMCPClient and McpToolSpec.
2

Connect with BasicMCPClient
Point BasicMCPClient to your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. Supports SSE and Streamable HTTP transports.
3

Convert to LlamaIndex tools
Call mcp_tool_spec.to_tool_list_async() to convert all CompanyCam MCP tools into native FunctionTool objects that any LlamaIndex agent can use.
4

Run with any LLM
Create a FunctionAgent with the tools and your preferred LLM. Swap OpenAI for Anthropic, Gemini, or any LlamaIndex-supported provider.

agent.py

from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI

# Connect to the MCP
mcp_client = BasicMCPClient(
    "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)
mcp_tool_spec = McpToolSpec(client=mcp_client)

# Convert MCP tools to LlamaIndex tools
tools = await mcp_tool_spec.to_tool_list_async()

# Create and run the agent
agent = FunctionAgent(
    tools=tools,
    llm=OpenAI(model="gpt-4o"),
    system_prompt="You have access to CompanyCam tools.",
)
response = await agent.run("List recent CompanyCam data")

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by CompanyCam. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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Common questions about CompanyCam MCP in LlamaIndex

Initialize the MCP tool spec and pass the list to your agent. Once active, your framework ingests the output to build your knowledge base.

You can use the allowed_tools filter to restrict your agent to specific functions. This keeps your index clean and focused.

By grounding your RAG app in these tools, you force the model to rely on live API data rather than its training set.

The client manages the session, but your index persists the information. This keeps your data queryable long after the initial fetch.

We use encrypted transports for all data movement. Your project metadata and document links are only handled by your local agent environment.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

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