Unleash (Feature Toggles) MCP Server for LlamaIndexGive LlamaIndex instant access to 11 tools to Get Client Features, Get Frontend Features, List Environments, and more
GDPR Free for SubscribersLlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Unleash (Feature Toggles) 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 Unleash (Feature Toggles) MCP Server for LlamaIndex is a standout in the Productivity category — giving your AI agent 11 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
Geminiimport 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 Unleash (Feature Toggles). "
"You have 11 tools available."
),
)
response = await agent.run(
"What tools are available in Unleash (Feature Toggles)?"
)
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 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.
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.
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.
The Unleash (Feature Toggles) MCP Server exposes 11 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 11 Unleash (Feature Toggles) tools available for LlamaIndex
When LlamaIndex connects to Unleash (Feature Toggles) through Vinkius, your AI agent gets direct access to every tool listed below — spanning feature-flags, feature-management, deployment-strategies, 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.
Get client features on Unleash (Feature Toggles)
Fetch all feature flags and strategies for server-side evaluation
Get frontend features on Unleash (Feature Toggles)
Optionally provide context like userId or properties. Fetch enabled feature flags for a specific Unleash Context
List environments on Unleash (Feature Toggles)
Fetches all environments configured in Unleash. List all Unleash environments
List project features on Unleash (Feature Toggles)
Fetches features for a given project ID. List all feature flags in a specific project
List projects on Unleash (Feature Toggles)
Fetches all projects configured in Unleash. List all Unleash projects
List segments on Unleash (Feature Toggles)
Fetches all segments configured in Unleash. List all Unleash segments
List users on Unleash (Feature Toggles)
Fetches all users configured in Unleash. List all Unleash users
Register client on Unleash (Feature Toggles)
Register a new backend SDK instance
Register frontend on Unleash (Feature Toggles)
Register a new frontend SDK instance
Report client metrics on Unleash (Feature Toggles)
Report flag usage metrics from a backend SDK
Report frontend metrics on Unleash (Feature Toggles)
Report flag usage metrics from a frontend SDK
Connect Unleash (Feature Toggles) to LlamaIndex via MCP
Follow these steps to wire Unleash (Feature Toggles) into LlamaIndex. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.
Install dependencies
pip install llama-index-tools-mcp llama-index-llms-openaiReplace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenRun the agent
agent.py and run: python agent.pyExplore tools
Why Use LlamaIndex with the Unleash (Feature Toggles) MCP Server
LlamaIndex provides unique advantages when paired with Unleash (Feature Toggles) through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine Unleash (Feature Toggles) tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain Unleash (Feature Toggles) tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query Unleash (Feature Toggles), a vector store, and a SQL database in a single turn and synthesize results
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) + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the Unleash (Feature Toggles) MCP Server delivers measurable value.
Hybrid search: combine Unleash (Feature Toggles) real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query Unleash (Feature Toggles) 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 Unleash (Feature Toggles) for fresh data
Analytical workflows: chain Unleash (Feature Toggles) queries with LlamaIndex's data connectors to build multi-source analytical reports
Example Prompts for Unleash (Feature Toggles) in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with Unleash (Feature Toggles) immediately.
"List all Unleash projects and their descriptions."
"What feature flags are enabled for user 'user_88' in the frontend?"
"Show me all feature flags in the 'Mobile-App' project."
Troubleshooting Unleash (Feature Toggles) MCP Server with LlamaIndex
Common issues when connecting Unleash (Feature Toggles) to LlamaIndex through Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpUnleash (Feature Toggles) + LlamaIndex FAQ
Common questions about integrating Unleash (Feature Toggles) 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?
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