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Casdoor (IAM) MCP Server for LlamaIndexGive LlamaIndex instant access to 10 tools to Add User, Delete User, Get Application, and more

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LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Casdoor (IAM) 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 for LlamaIndex

The Casdoor (IAM) MCP Server for LlamaIndex is a standout in the Developer Tools category — giving your AI agent 10 tools to work with, ready to go from day one.

Built for AI Agents by Vinkius

Vinkius delivers Streamable HTTP and SSE to any MCP client

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python
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 Casdoor (IAM). "
            "You have 10 tools available."
        ),
    )

    response = await agent.run(
        "What tools are available in Casdoor (IAM)?"
    )
    print(response)

asyncio.run(main())
Casdoor (IAM)
Fully ManagedVinkius Servers
60%Token savings
High SecurityEnterprise-grade
IAMAccess control
EU AI ActCompliant
DLPData protection
V8 IsolateSandboxed
Ed25519Audit chain
<40msKill switch
Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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 Casdoor (IAM) MCP Server

Connect your Casdoor IAM instance to any AI agent to streamline your identity and access management workflows through natural conversation.

LlamaIndex agents combine Casdoor (IAM) tool responses with indexed documents for comprehensive, grounded answers. Connect 10 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

  • User Management — Create, update, delete, and retrieve detailed profiles for users across your organizations using the add_user, update_user, and delete_user tools.
  • Organization Oversight — List all organizations and fetch specific configuration details for your IAM hierarchy with list_organizations and get_organization.
  • Application Control — Query and manage applications registered within your Casdoor instance using list_applications and get_application.
  • Identity Inspection — Instantly retrieve the profile of the currently authenticated user to verify permissions via get_userinfo.

The Casdoor (IAM) MCP Server exposes 10 tools through the Vinkius. Connect it to LlamaIndex in under two minutes — credentials fully managed, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

All 10 Casdoor (IAM) tools available for LlamaIndex

When LlamaIndex connects to Casdoor (IAM) through Vinkius, your AI agent gets direct access to every tool listed below — spanning iam, authentication, user-management, 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

Add user on Casdoor (IAM)

Requires owner (organization) and name (username). Add a new user

delete

Delete user on Casdoor (IAM)

Requires the owner (organization) and name (username) of the user to delete. Delete a user

get

Get application on Casdoor (IAM)

Get a specific application

get

Get organization on Casdoor (IAM)

Get a specific organization

get

Get user on Casdoor (IAM)

Get a specific user by ID

get

Get userinfo on Casdoor (IAM)

Get the profile of the authenticated user

list

List applications on Casdoor (IAM)

List applications in an organization

list

List organizations on Casdoor (IAM)

List all organizations

list

List users on Casdoor (IAM)

List users in an organization

update

Update user on Casdoor (IAM)

The ID parameter must be formatted as <organization>/<username>. Update an existing user

Connect Casdoor (IAM) to LlamaIndex via MCP

Follow these steps to wire Casdoor (IAM) into LlamaIndex. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.

01

Install dependencies

Run pip install llama-index-tools-mcp llama-index-llms-openai
02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token
03

Run the agent

Save to agent.py and run: python agent.py
04

Explore tools

The agent discovers 10 tools from Casdoor (IAM)

Why Use LlamaIndex with the Casdoor (IAM) MCP Server

LlamaIndex provides unique advantages when paired with Casdoor (IAM) through the Model Context Protocol.

01

Data-first architecture: LlamaIndex agents combine Casdoor (IAM) tool responses with indexed documents for comprehensive, grounded answers

02

Query pipeline framework lets you chain Casdoor (IAM) tool calls with transformations, filters, and re-rankers in a typed pipeline

03

Multi-source reasoning: agents can query Casdoor (IAM), a vector store, and a SQL database in a single turn and synthesize results

04

Observability integrations show exactly what Casdoor (IAM) tools were called, what data was returned, and how it influenced the final answer

Casdoor (IAM) + LlamaIndex Use Cases

Practical scenarios where LlamaIndex combined with the Casdoor (IAM) MCP Server delivers measurable value.

01

Hybrid search: combine Casdoor (IAM) real-time data with embedded document indexes for answers that are both current and comprehensive

02

Data enrichment: query Casdoor (IAM) to augment indexed data with live information before generating user-facing responses

03

Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying Casdoor (IAM) for fresh data

04

Analytical workflows: chain Casdoor (IAM) queries with LlamaIndex's data connectors to build multi-source analytical reports

Example Prompts for Casdoor (IAM) in LlamaIndex

Ready-to-use prompts you can give your LlamaIndex agent to start working with Casdoor (IAM) immediately.

01

"List all organizations in my Casdoor instance."

02

"Get the profile for user 'built-in/admin'."

03

"Add a new user named 'dev_user' to the 'engineering' organization."

Troubleshooting Casdoor (IAM) MCP Server with LlamaIndex

Common issues when connecting Casdoor (IAM) to LlamaIndex through Vinkius, and how to resolve them.

01

BasicMCPClient not found

Install: pip install llama-index-tools-mcp

Casdoor (IAM) + LlamaIndex FAQ

Common questions about integrating Casdoor (IAM) MCP Server with LlamaIndex.

01

How does LlamaIndex connect to MCP servers?

Use the MCP client adapter to create a connection. LlamaIndex discovers all tools and wraps them as query engine tools compatible with any LlamaIndex agent.
02

Can I combine MCP tools with vector stores?

Yes. LlamaIndex agents can query Casdoor (IAM) tools and vector store indexes in the same turn, combining real-time and embedded data for grounded responses.
03

Does LlamaIndex support async MCP calls?

Yes. LlamaIndex's async agent framework supports concurrent MCP tool calls for high-throughput data processing pipelines.

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