Bring Feature Flags
to LlamaIndex
Learn how to connect Unleash (Feature Toggles) to LlamaIndex and start using 11 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 Unleash (Feature Toggles) MCP Server?
Connect your Unleash instance to any AI agent and gain full control over your feature management lifecycle through natural conversation.
What you can do
- Feature Evaluation — Fetch all feature flags and strategies for server-side evaluation or evaluate specific flags for client-side contexts using User IDs and properties.
- Project & Environment Audit — List all Unleash projects, environments, and segments to understand your infrastructure layout.
- Flag Management — Inspect all feature flags within specific projects to verify rollout statuses and strategy configurations.
- Metrics & Registration — Report SDK usage metrics and register new client or frontend instances directly through the agent.
- User Management — Retrieve lists of users and segments to verify targeting rules and access.
How it works
- Subscribe to this server
- Enter your Unleash API URL and API Token (Admin, Client, or Frontend depending on your needs)
- Start managing your feature rollouts from Claude, Cursor, or any MCP-compatible client
Who is this for?
- DevOps & SREs — quickly audit environments and segments without navigating the Unleash UI
- Product Managers — check the status of feature toggles and rollout strategies across different projects
- Software Engineers — verify flag evaluations and context properties directly from the code editor
Built-in capabilities (11)
Fetch all feature flags and strategies for server-side evaluation
Optionally provide context like userId or properties. Fetch enabled feature flags for a specific Unleash Context
Fetches all environments configured in Unleash. List all Unleash environments
Fetches features for a given project ID. List all feature flags in a specific project
Fetches all projects configured in Unleash. List all Unleash projects
Fetches all segments configured in Unleash. List all Unleash segments
Fetches all users configured in Unleash. List all Unleash users
Register a new backend SDK instance
Register a new frontend SDK instance
Report flag usage metrics from a backend SDK
Report flag usage metrics from a frontend SDK
Why LlamaIndex?
LlamaIndex agents combine Unleash (Feature Toggles) tool responses with indexed documents for comprehensive, grounded answers. Connect 11 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 Unleash (Feature Toggles) tool responses with indexed documents for comprehensive, grounded answers
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Query pipeline framework lets you chain Unleash (Feature Toggles) tool calls with transformations, filters, and re-rankers in a typed pipeline
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Multi-source reasoning: agents can query Unleash (Feature Toggles), a vector store, and a SQL database in a single turn and synthesize results
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Observability integrations show exactly what Unleash (Feature Toggles) tools were called, what data was returned, and how it influenced the final answer
Unleash (Feature Toggles) in LlamaIndex
Unleash (Feature Toggles) and 4,000+ other MCP servers. One platform. One governance layer.
Teams that connect Unleash (Feature Toggles) 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 Unleash (Feature Toggles) in LlamaIndex
The Unleash (Feature Toggles) 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 11 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
Unleash (Feature Toggles) for LlamaIndex
Every tool call from LlamaIndex to the Unleash (Feature Toggles) MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.
Frequently asked questions
Can I evaluate feature flags for a specific user ID?
Yes. Use the get_frontend_features tool and provide the userId. The agent will return the enabled flags based on the Unleash context for that specific user.
How do I see all feature flags associated with a specific project?
You can use the list_project_features tool by providing the projectId. This will list all toggles, their types, and current statuses within that project.
Does this server support listing segments and environments?
Yes, the server includes list_segments and list_environments tools, allowing you to audit your Unleash configuration and targeting rules easily.
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 Unleash (Feature Toggles) 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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