Cerbos (Access Control) MCP Server for LangChainGive LangChain instant access to 19 tools to Add Policy, Add Schema, Authzen Evaluation, and more
GDPR Free for SubscribersLangChain is the leading Python framework for composable LLM applications. Connect Cerbos (Access Control) 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 for LangChain
The Cerbos (Access Control) MCP Server for LangChain is a standout in the Developer Tools category — giving your AI agent 19 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
Geminiimport 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({
"cerbos-access-control": {
"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 Cerbos (Access Control), 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 Cerbos (Access Control) MCP Server
Connect your Cerbos instance to any AI agent to streamline authorization management and policy auditing through natural language.
LangChain's ecosystem of 500+ components combines seamlessly with Cerbos (Access Control) through native MCP adapters. Connect 19 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
- Permission Checks — Use
check_resourcesto evaluate if a principal (user) has the rights to perform specific actions on resources. - Query Planning — Generate AST query plans with
plan_resourcesto filter database results based on complex authorization logic. - Policy Management — List, retrieve, add, or delete policies (RBAC/ABAC) using the Admin API tools like
list_policiesandadd_policy. - Schema & Auditing — Inspect resource schemas and review access logs with
list_auditLogsto ensure compliance. - Health & Metrics — Monitor your PDP (Policy Decision Point) status with
get_healthandget_metricsdirectly from the chat.
The Cerbos (Access Control) MCP Server exposes 19 tools through the Vinkius. Connect it to LangChain in under two minutes — credentials fully managed, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
All 19 Cerbos (Access Control) tools available for LangChain
When LangChain connects to Cerbos (Access Control) through Vinkius, your AI agent gets direct access to every tool listed below — spanning authorization, rbac, abac, 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.
Add policy on Cerbos (Access Control)
Add a new policy
Add schema on Cerbos (Access Control)
Add or update a schema
Authzen evaluation on Cerbos (Access Control)
Perform a single AuthZEN access evaluation
Authzen evaluations on Cerbos (Access Control)
Perform batch AuthZEN access evaluations
Check resources on Cerbos (Access Control)
Check permissions for a set of resources
Delete policy on Cerbos (Access Control)
Delete a policy by ID
Disable policy on Cerbos (Access Control)
Disable a policy
Enable policy on Cerbos (Access Control)
Enable a policy
Get authzen config on Cerbos (Access Control)
Get AuthZEN configuration metadata
Get health on Cerbos (Access Control)
Get Cerbos health status
Get metrics on Cerbos (Access Control)
Get Prometheus metrics from Cerbos
Get policy on Cerbos (Access Control)
Get a specific policy by ID
Get schema on Cerbos (Access Control)
Get a specific schema by ID
Get server info on Cerbos (Access Control)
Get Cerbos server version and build information
List audit logs on Cerbos (Access Control)
List audit logs
List policies on Cerbos (Access Control)
List all policies
List schemas on Cerbos (Access Control)
List all schemas
Plan resources on Cerbos (Access Control)
Produce a query plan (AST) for filtering resources
Update policy on Cerbos (Access Control)
Update an existing policy
Connect Cerbos (Access Control) to LangChain via MCP
Follow these steps to wire Cerbos (Access Control) into LangChain. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.
Install dependencies
pip install langchain langchain-mcp-adapters langgraph langchain-openaiReplace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenRun the agent
python agent.pyExplore tools
Why Use LangChain with the Cerbos (Access Control) MCP Server
LangChain provides unique advantages when paired with Cerbos (Access Control) through the Model Context Protocol.
The largest ecosystem of integrations, chains, and agents. combine Cerbos (Access Control) 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 Cerbos (Access Control) queries for multi-turn workflows
Cerbos (Access Control) + LangChain Use Cases
Practical scenarios where LangChain combined with the Cerbos (Access Control) MCP Server delivers measurable value.
RAG with live data: combine Cerbos (Access Control) tool results with vector store retrievals for answers grounded in both real-time and historical data
Autonomous research agents: LangChain agents query Cerbos (Access Control), synthesize findings, and generate comprehensive research reports
Multi-tool orchestration: chain Cerbos (Access Control) tools with web scrapers, databases, and calculators in a single agent run
Production monitoring: use LangSmith to trace every Cerbos (Access Control) tool call, measure latency, and optimize your agent's performance
Example Prompts for Cerbos (Access Control) in LangChain
Ready-to-use prompts you can give your LangChain agent to start working with Cerbos (Access Control) immediately.
"Check if user 'user_123' with role 'admin' can 'delete' the resource 'document:abc'."
"Show me the health status and version of my Cerbos server."
"List all policies and tell me if there are any for the 'expense' resource."
Troubleshooting Cerbos (Access Control) MCP Server with LangChain
Common issues when connecting Cerbos (Access Control) to LangChain through Vinkius, and how to resolve them.
MultiServerMCPClient not found
pip install langchain-mcp-adaptersCerbos (Access Control) + LangChain FAQ
Common questions about integrating Cerbos (Access Control) 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?
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