Infisical MCP Server for LlamaIndex 9 tools — connect in under 2 minutes
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Infisical 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 Infisical. "
"You have 9 tools available."
),
)
response = await agent.run(
"What tools are available in Infisical?"
)
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 Infisical MCP Server
Connect Infisical to your AI agent and manage your secrets infrastructure through natural conversation.
LlamaIndex agents combine Infisical tool responses with indexed documents for comprehensive, grounded answers. Connect 9 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
- Secret Management — List, get, create, update, and delete secrets across any environment
- Project Overview — Query project configurations and metadata
- Environment Navigation — Browse and switch between dev, staging, and production environments
- Audit Logging — Access detailed audit logs for compliance and security tracking
- Identity Management — List and manage service identities and access controls
The Infisical MCP Server exposes 9 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 Infisical to LlamaIndex via MCP
Follow these steps to integrate the Infisical 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 9 tools from Infisical
Why Use LlamaIndex with the Infisical MCP Server
LlamaIndex provides unique advantages when paired with Infisical through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine Infisical tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain Infisical tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query Infisical, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what Infisical tools were called, what data was returned, and how it influenced the final answer
Infisical + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the Infisical MCP Server delivers measurable value.
Hybrid search: combine Infisical real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query Infisical 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 Infisical for fresh data
Analytical workflows: chain Infisical queries with LlamaIndex's data connectors to build multi-source analytical reports
Infisical MCP Tools for LlamaIndex (9)
These 9 tools become available when you connect Infisical to LlamaIndex via MCP:
create_secret
The key must not already exist at that path. Use this to provision new configuration values or credentials. Create a new secret in the Infisical project
delete_secret
This action cannot be undone. Use with caution. Delete a secret from the Infisical project
get_project_info
Get information about the configured Infisical project
get_secret
Requires the exact key name as stored in Infisical. Optionally specify a path if the secret is not at the root level. Get a specific secret by its key name
list_audit_logs
Essential for compliance and security monitoring. List recent audit log entries for the project
list_environments
g., dev, staging, prod) configured for the project. Use this to discover available environments before switching context. List all environments in the configured Infisical project
list_identities
Useful for auditing automated access. List all machine identities configured in the organization
list_secrets
Defaults to the root path "/" if no path is provided. Use this to audit what secrets are available or to verify configuration. List all secrets in a given path of the current project and environment
update_secret
The key must exist; use create_secret for new entries. Update the value of an existing secret
Example Prompts for Infisical in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with Infisical immediately.
"List all secrets in the production environment."
Troubleshooting Infisical MCP Server with LlamaIndex
Common issues when connecting Infisical to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpInfisical + LlamaIndex FAQ
Common questions about integrating Infisical 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 Infisical with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
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 Infisical to LlamaIndex
Get your token, paste the configuration, and start using 9 tools in under 2 minutes. No API key management needed.