Ping Identity 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 Ping Identity 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
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 Ping Identity. "
"You have 10 tools available."
),
)
response = await agent.run(
"What tools are available in Ping Identity?"
)
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 Ping Identity MCP Server
Connect your Ping Identity environment to any AI agent to streamline identity and access management (IAM). You can audit users, check security policies, and review applications directly through conversation.
LlamaIndex agents combine Ping Identity 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 — List identities, view detailed user profiles, and safely delete users across the enterprise directory.
- Applications & Groups — Audit all Web, Native, or SPA apps federated under your environment, and list active IAM groups.
- Populations — Review isolated populations dividing contractors, partners, or B2B clients.
- Risk & Policies — Inspect active Risk Management rules and Zero-Trust sign-on workflows dictating real-time MFA.
The Ping Identity 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 Ping Identity to LlamaIndex via MCP
Follow these steps to integrate the Ping Identity 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 Ping Identity
Why Use LlamaIndex with the Ping Identity MCP Server
LlamaIndex provides unique advantages when paired with Ping Identity through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine Ping Identity tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain Ping Identity tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query Ping Identity, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what Ping Identity tools were called, what data was returned, and how it influenced the final answer
Ping Identity + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the Ping Identity MCP Server delivers measurable value.
Hybrid search: combine Ping Identity real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query Ping Identity 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 Ping Identity for fresh data
Analytical workflows: chain Ping Identity queries with LlamaIndex's data connectors to build multi-source analytical reports
Ping Identity MCP Tools for LlamaIndex (10)
These 10 tools become available when you connect Ping Identity to LlamaIndex via MCP:
delete_user
Revokes all current session tokens, nullifies application scopes, isolates SCIM directory references, and executes the formal deletion API. Hard delete a user identity and purge related credentials
get_application
Determines configured Implicit/Authorization Code grants, token lifespan definitions, embedded sign-on policies, and allowed callback URIs required for stringent redirection security mapping. Get configuration for a single federated Ping Identity application
get_group
View explicit details encompassing a standard Ping Group
get_user
Get complete contextual metadata for a specific Ping Identity user
list_applications
Crucial to verify application exposure footprint. List Web, Native or SPA apps federated under standard PingOne
list_groups
Allows mapping high-level RBAC scopes dynamically injected into ID tokens returned via SSO channels upon successful client authorization flows. List identity Groups utilized for aggregate permissions
list_populations
g., 'Contractors', 'Partners', 'B2B Clients') possessing inherently different default password complexities, independent password expiration parameters, and isolated self-service recovery scopes. List isolated Populations logically partitioning the Environment
list_risk_policies
Evaluates contextual IP anomalies, impossible travel, blocklisted VPN routes, or behavioral irregularities explicitly stepping up authentication flows or directly blocking malicious login execution. List active Risk Management rules dictating real-time MFA
list_sign_on_policies
Sign-on policies chain distinct rules together enforcing explicit MFA prompts, enforcing complex password structures based on population assignment, or mandating implicit biometric validation prior to releasing environment tokens. List logical Sign-on flows and strict authentication conditions
list_users
Paginates across all bounded external and internal localized users containing primary credentials, deeply nested JSON identifiers, and physical verification states assigned under the Enterprise Directory schema. List all user identities within the standard PingOne Environment
Example Prompts for Ping Identity in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with Ping Identity immediately.
"Can you list all OIDC applications configured in PingOne and highlight any insecure callbacks?"
"Provide the active list of Zero-Trust risk policies governing my environment."
"Delete the specific suspended user profile assigned to the ID `81773-XYZ-192`."
Troubleshooting Ping Identity MCP Server with LlamaIndex
Common issues when connecting Ping Identity to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpPing Identity + LlamaIndex FAQ
Common questions about integrating Ping Identity 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 Ping Identity 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 Ping Identity to LlamaIndex
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.