Bring Sso
to LlamaIndex
Learn how to connect BoxyHQ (Enterprise SSO) to LlamaIndex and start using 8 AI agent tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code.
GDPR Free for SubscribersCompatible with every major AI agent and IDE
Gemini
What is the BoxyHQ (Enterprise SSO) MCP Server?
Connect your BoxyHQ instance to any AI agent to streamline enterprise authentication and user lifecycle management through natural language.
What you can do
- SSO Connections — Add, update, and manage SAML and OIDC connections for specific tenants and products.
- Directory Sync (SCIM) — Create and configure SCIM 2.0 directories to automate user provisioning and de-provisioning.
- Connection Auditing — Retrieve detailed connection metadata using tenant IDs, product IDs, or client IDs.
- Metadata Management — Configure IdP metadata via raw XML (Base64) or direct metadata URLs for rapid deployment.
- Lifecycle Control — Update existing security configurations or delete stale connections to maintain a clean security posture.
How it works
- Subscribe to this server
- Enter your BoxyHQ Instance URL and API Key
- Start managing enterprise identity workflows from Claude, Cursor, or any MCP-compatible client
Who is this for?
- Security Engineers — quickly audit and update SSO configurations across multiple tenants without manual dashboard navigation.
- DevOps & SREs — automate the creation of SCIM directories and SAML connections during customer onboarding.
- Product Managers — verify the status of enterprise integrations and connection health directly from the chat interface.
Built-in capabilities (8)
Add a new SAML or OIDC connection
0 protocol. Create a Directory Sync (SCIM) connection
Delete an SSO connection
Get SSO connections
List all groups for a tenant/product directory
List all users for a tenant/product directory
Check BoxyHQ service health
Update an existing SSO connection
Why LlamaIndex?
LlamaIndex agents combine BoxyHQ (Enterprise SSO) tool responses with indexed documents for comprehensive, grounded answers. Connect 8 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.
- —
Data-first architecture: LlamaIndex agents combine BoxyHQ (Enterprise SSO) tool responses with indexed documents for comprehensive, grounded answers
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Query pipeline framework lets you chain BoxyHQ (Enterprise SSO) tool calls with transformations, filters, and re-rankers in a typed pipeline
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Multi-source reasoning: agents can query BoxyHQ (Enterprise SSO), a vector store, and a SQL database in a single turn and synthesize results
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Observability integrations show exactly what BoxyHQ (Enterprise SSO) tools were called, what data was returned, and how it influenced the final answer
BoxyHQ (Enterprise SSO) in LlamaIndex
BoxyHQ (Enterprise SSO) and 4,000+ other MCP servers. One platform. One governance layer.
Teams that connect BoxyHQ (Enterprise SSO) to LlamaIndex through Vinkius don't need to source, host, or maintain individual MCP servers. Every tool call runs inside a hardened runtime with credential isolation, DLP, and a signed audit chain.
Raw MCP | Vinkius | |
|---|---|---|
| Server catalog | Find and host yourself | 4,000+ managed |
| Infrastructure | Self-hosted | Sandboxed V8 isolates |
| Credential handling | Plaintext in config | Vault + runtime injection |
| Data loss prevention | None | Configurable DLP policies |
| Kill switch | None | Global instant shutdown |
| Financial circuit breakers | None | Per-server limits + alerts |
| Audit trail | None | Ed25519 signed logs |
| SIEM log streaming | None | Splunk, Datadog, Webhook |
| Honeytokens | None | Canary alerts on leak |
| Custom domains | Not applicable | DNS challenge verified |
| GDPR compliance | Manual effort | Automated purge + export |
Why teams choose Vinkius for BoxyHQ (Enterprise SSO) in LlamaIndex
The BoxyHQ (Enterprise SSO) 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. All 8 tools execute in hardened sandboxes optimized for native MCP execution.
Your AI agents in LlamaIndex only access the data you authorize, with DLP that blocks sensitive information from ever reaching the model, kill switch for instant shutdown, and up to 60% token savings. Enterprise-grade infrastructure, zero maintenance.
* 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
How Vinkius secures
BoxyHQ (Enterprise SSO) for LlamaIndex
Every tool call from LlamaIndex to the BoxyHQ (Enterprise SSO) MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.
Frequently asked questions
Can I configure a SAML connection using just the metadata URL?
Yes! Use the add_connection tool and provide the metadataUrl. The server will fetch and process the IdP configuration automatically.
How do I find the clientID for an existing connection?
You can use the get_connections tool by providing the tenant and product IDs. It will return all matching connections including their unique clientIDs.
Does this support SCIM for automated user provisioning?
Absolutely. Use the create_directory tool to set up a SCIM 2.0 directory for providers like Okta, Azure AD, or Google, including webhook support for events.
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.
Can I combine MCP tools with vector stores?
Yes. LlamaIndex agents can query BoxyHQ (Enterprise SSO) tools and vector store indexes in the same turn, combining real-time and embedded data for grounded responses.
Does LlamaIndex support async MCP calls?
Yes. LlamaIndex's async agent framework supports concurrent MCP tool calls for high-throughput data processing pipelines.
BasicMCPClient not found
Install: pip install llama-index-tools-mcp
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