Salt Security MCP Server for LangChain 10 tools — connect in under 2 minutes
LangChain is the leading Python framework for composable LLM applications. Connect Salt Security through the 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({
"salt-security": {
"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 Salt Security, 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 Salt Security MCP Server
Connect your AI directly with Salt Security to proactively defend your Application Programming Interface (API) environment. Improve API discovery, manage security posture, and remediate threats in real-time through simple conversational prompts.
LangChain's ecosystem of 500+ components combines seamlessly with Salt Security through native MCP adapters. Connect 10 tools via the 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
- API Inventory & Discovery — View all auto-discovered APIs in your environment, including unknown or shadow APIs (
get_inventory). Retrieve schema details, identify exposed sensitive data (PII), and analyze structural drifts (get_endpoint). - Threat Intelligence & Monitoring — Monitor active API attacks and business logic abuses as they happen (
get_attacks). Profile known threat actors to uncover behavioral patterns (get_attackers). - Active Remediation — Respond to incidents immediately by triggering blockade commands against attackers, seamlessly passing instructions to your integrated WAFs (
block_attacker). - Posture & Governance Assessment — Identify design flaws and vulnerabilities before they reach production (
get_posture_vulnerabilities). Manage OpenAPI (OAS) specifications (list_oas_specs,upload_oas_spec) and verify active governance rules (get_governance_policies).
The Salt Security MCP Server exposes 10 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 Salt Security to LangChain via MCP
Follow these steps to integrate the Salt Security 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 10 tools from Salt Security via MCP
Why Use LangChain with the Salt Security MCP Server
LangChain provides unique advantages when paired with Salt Security through the Model Context Protocol.
The largest ecosystem of integrations, chains, and agents — combine Salt Security 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 Salt Security queries for multi-turn workflows
Salt Security + LangChain Use Cases
Practical scenarios where LangChain combined with the Salt Security MCP Server delivers measurable value.
RAG with live data: combine Salt Security tool results with vector store retrievals for answers grounded in both real-time and historical data
Autonomous research agents: LangChain agents query Salt Security, synthesize findings, and generate comprehensive research reports
Multi-tool orchestration: chain Salt Security tools with web scrapers, databases, and calculators in a single agent run
Production monitoring: use LangSmith to trace every Salt Security tool call, measure latency, and optimize your agent's performance
Salt Security MCP Tools for LangChain (10)
These 10 tools become available when you connect Salt Security to LangChain via MCP:
block_attacker
Issues a command to block a specific attacker
get_attackers
Lists known threat actors profiled by Salt
get_attacks
Lists detected malicious API attacks
get_endpoint
Retrieves details for a specific API endpoint
get_governance_policies
Lists active API governance rules
get_inventory
Retrieves the auto-discovered API inventory
get_posture_vulnerabilities
Retrieves identified pre-production design flaws
get_system_health
Checks the health of traffic mirror ingestion
list_oas_specs
Lists all uploaded OpenAPI specifications
upload_oas_spec
Uploads a new OAS/Swagger specification
Example Prompts for Salt Security in LangChain
Ready-to-use prompts you can give your LangChain agent to start working with Salt Security immediately.
"List all auto-discovered APIs including shadow and zombie APIs in our infrastructure."
"Are we facing any recent attacks aimed at business logic?"
"Block attacker 'ATT-992' immediately."
Troubleshooting Salt Security MCP Server with LangChain
Common issues when connecting Salt Security to LangChain through the Vinkius, and how to resolve them.
MultiServerMCPClient not found
pip install langchain-mcp-adaptersSalt Security + LangChain FAQ
Common questions about integrating Salt Security 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 Salt Security 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 Salt Security to LangChain
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.