Digify MCP Server for LlamaIndexGive LlamaIndex instant access to 12 tools to Create Dataroom, Get Account Info, Get Dataroom, and more
GDPR Free for SubscribersLlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Digify 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 for LlamaIndex
The Digify MCP Server for LlamaIndex is a standout in the Collaboration category — giving your AI agent 12 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
Geminiimport 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 Digify. "
"You have 12 tools available."
),
)
response = await agent.run(
"What tools are available in Digify?"
)
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 Digify MCP Server
Connect your Digify account to any AI agent and take full control of your secure document distribution and Virtual Data Room (VDR) workflows through natural conversation.
LlamaIndex agents combine Digify tool responses with indexed documents for comprehensive, grounded answers. Connect 12 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
- Document Protection Orchestration — Programmatically protect sensitive files with granular Digital Rights Management (DRM) settings, including view-only access and dynamic watermarks
- VDR Architecture — Create and manage secure Virtual Data Rooms for high-stakes business collaboration, including inviting guests and managing folder structures
- Engagement Intelligence — Retrieve detailed audit logs and activity reports to monitor who accessed your protected documents and for how long
- Access Control Lifecycle — Programmatically revoke access or update sharing permissions for individual files or entire Data Rooms directly through your agent
- Administrative Visibility — Monitor Data Room engagement statistics and manage webhook configurations to maintain a high-fidelity secure ecosystem
The Digify MCP Server exposes 12 tools through the Vinkius. Connect it to LlamaIndex in under two minutes — credentials fully managed, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
All 12 Digify tools available for LlamaIndex
When LlamaIndex connects to Digify through Vinkius, your AI agent gets direct access to every tool listed below — spanning drm, virtual-data-room, file-security, and more. Every call runs in a secure, isolated environment with full audit visibility. Beyond a simple connection, you get real-time monitoring of agent activity, enterprise governance, and optimized token usage.
Create dataroom on Digify
Create a new Data Room
Get account info on Digify
Get account status
Get dataroom on Digify
Get Data Room details
Get dataroom stats on Digify
Get Data Room engagement stats
Get file on Digify
Get file details
Invite guest on Digify
Invite a guest to a Data Room
List activities on Digify
Track document activities
List dataroom guests on Digify
List Data Room participants
List datarooms on Digify
List Virtual Data Rooms
List files on Digify
List protected files
List webhooks on Digify
List configured webhooks
Protect file on Digify
Securely share a file
Connect Digify to LlamaIndex via MCP
Follow these steps to wire Digify into LlamaIndex. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.
Install dependencies
pip install llama-index-tools-mcp llama-index-llms-openaiReplace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenRun the agent
agent.py and run: python agent.pyExplore tools
Why Use LlamaIndex with the Digify MCP Server
LlamaIndex provides unique advantages when paired with Digify through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine Digify tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain Digify tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query Digify, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what Digify tools were called, what data was returned, and how it influenced the final answer
Digify + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the Digify MCP Server delivers measurable value.
Hybrid search: combine Digify real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query Digify 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 Digify for fresh data
Analytical workflows: chain Digify queries with LlamaIndex's data connectors to build multi-source analytical reports
Example Prompts for Digify in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with Digify immediately.
"List all active Virtual Data Rooms in my account."
"Securely share 'Q1_Financials.pdf' with 'john.doe@example.com' (no download allowed)."
"Show the last 5 activities for the 'Project Phoenix' Data Room."
Troubleshooting Digify MCP Server with LlamaIndex
Common issues when connecting Digify to LlamaIndex through Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpDigify + LlamaIndex FAQ
Common questions about integrating Digify 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?
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