Salt Security MCP Server for LlamaIndex 10 tools — connect in under 2 minutes
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Salt Security as an MCP tool provider through the 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 Salt Security. "
"You have 10 tools available."
),
)
response = await agent.run(
"What tools are available in Salt Security?"
)
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 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.
LlamaIndex agents combine Salt Security tool responses with indexed documents for comprehensive, grounded answers. Connect 10 tools through the 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
- 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 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 Salt Security to LlamaIndex via MCP
Follow these steps to integrate the Salt Security 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 10 tools from Salt Security
Why Use LlamaIndex with the Salt Security MCP Server
LlamaIndex provides unique advantages when paired with Salt Security through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine Salt Security tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain Salt Security tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query Salt Security, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what Salt Security tools were called, what data was returned, and how it influenced the final answer
Salt Security + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the Salt Security MCP Server delivers measurable value.
Hybrid search: combine Salt Security real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query Salt Security 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 Salt Security for fresh data
Analytical workflows: chain Salt Security queries with LlamaIndex's data connectors to build multi-source analytical reports
Salt Security MCP Tools for LlamaIndex (10)
These 10 tools become available when you connect Salt Security to LlamaIndex 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 LlamaIndex
Ready-to-use prompts you can give your LlamaIndex 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 LlamaIndex
Common issues when connecting Salt Security to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpSalt Security + LlamaIndex FAQ
Common questions about integrating Salt Security 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 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 LlamaIndex
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.