Infisical MCP Server for LangChain 9 tools — connect in under 2 minutes
LangChain is the leading Python framework for composable LLM applications. Connect Infisical through Vinkius and LangChain agents can call every tool natively. combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from langchain_mcp_adapters.client import MultiServerMCPClient
from langchain_openai import ChatOpenAI
from langgraph.prebuilt import create_react_agent
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
async with MultiServerMCPClient({
"infisical": {
"transport": "streamable_http",
"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
}
}) as client:
tools = client.get_tools()
agent = create_react_agent(
ChatOpenAI(model="gpt-4o"),
tools,
)
response = await agent.ainvoke({
"messages": [{
"role": "user",
"content": "Using Infisical, show me what tools are available.",
}]
})
print(response["messages"][-1].content)
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.
LangChain's ecosystem of 500+ components combines seamlessly with Infisical through native MCP adapters. Connect 9 tools via Vinkius and use ReAct agents, Plan-and-Execute strategies, or custom agent architectures. with LangSmith tracing giving full visibility into every tool call, latency, and token cost.
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 LangChain 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 LangChain via MCP
Follow these steps to integrate the Infisical MCP Server with LangChain.
Install dependencies
Run pip install langchain langchain-mcp-adapters langgraph langchain-openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save the code and run python agent.py
Explore tools
The agent discovers 9 tools from Infisical via MCP
Why Use LangChain with the Infisical MCP Server
LangChain provides unique advantages when paired with Infisical through the Model Context Protocol.
The largest ecosystem of integrations, chains, and agents. combine Infisical MCP tools with 500+ LangChain components
Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step
LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging
Memory and conversation persistence let agents maintain context across Infisical queries for multi-turn workflows
Infisical + LangChain Use Cases
Practical scenarios where LangChain combined with the Infisical MCP Server delivers measurable value.
RAG with live data: combine Infisical tool results with vector store retrievals for answers grounded in both real-time and historical data
Autonomous research agents: LangChain agents query Infisical, synthesize findings, and generate comprehensive research reports
Multi-tool orchestration: chain Infisical tools with web scrapers, databases, and calculators in a single agent run
Production monitoring: use LangSmith to trace every Infisical tool call, measure latency, and optimize your agent's performance
Infisical MCP Tools for LangChain (9)
These 9 tools become available when you connect Infisical to LangChain 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 LangChain
Ready-to-use prompts you can give your LangChain agent to start working with Infisical immediately.
"List all secrets in the production environment."
Troubleshooting Infisical MCP Server with LangChain
Common issues when connecting Infisical to LangChain through the Vinkius, and how to resolve them.
MultiServerMCPClient not found
pip install langchain-mcp-adaptersInfisical + LangChain FAQ
Common questions about integrating Infisical MCP Server with LangChain.
How does LangChain connect to MCP servers?
langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.Which LangChain agent types work with MCP?
Can I trace MCP tool calls in LangSmith?
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 LangChain
Get your token, paste the configuration, and start using 9 tools in under 2 minutes. No API key management needed.