Bring Event Streaming
to LlamaIndex
Create your Vinkius account to connect Keen to LlamaIndex and start using all 10 AI tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code. No hosting, no server setup — just connect and start using.
Compatible with every major AI agent and IDE
What is the Keen MCP Server?
Connect your Keen.io project to any AI agent to automate data collection and analysis. This MCP server allows your agent to record events and run complex analytical queries (count, sum, average, etc.) directly from natural language.
What you can do
- Event Recording — Send custom event data to any collection in your project instantly
- Compute Metrics — Run aggregation queries like
count,sum, andaverageon your event data - Data Discovery — List all event collections, saved queries, and cached datasets
- Insight Extraction — Retrieve unique values for specific properties to understand data distribution
- Project Oversight — Get comprehensive metadata and configuration details for your Keen project
How it works
- Subscribe to this server
- Enter your Keen Project ID and Master Key
- Start streaming and analyzing data from Claude, Cursor, or any MCP client
Who is this for?
- Data Engineers — Quickly test event recording and verify collection schemas via natural language
- Product Analysts — Run ad-hoc metrics and aggregation queries without writing code
- Developers — Integrate event streaming checks and project status monitoring into your development workflow
Built-in capabilities (10)
Calculate average of a property
Count total events in a collection
Count unique values for a property
Get project configuration and details
List all event collections
List cached datasets
List all saved queries
Record a single event to a collection
List all unique values for a property
Sum numeric values of a property
Why LlamaIndex?
LlamaIndex agents combine Keen 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.
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Data-first architecture: LlamaIndex agents combine Keen tool responses with indexed documents for comprehensive, grounded answers
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Query pipeline framework lets you chain Keen tool calls with transformations, filters, and re-rankers in a typed pipeline
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Multi-source reasoning: agents can query Keen, a vector store, and a SQL database in a single turn and synthesize results
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Observability integrations show exactly what Keen tools were called, what data was returned, and how it influenced the final answer
Keen in LlamaIndex
Why run Keen with Vinkius?
The Keen connection runs on our fully managed, secure cloud infrastructure. We handle the hosting, maintenance, and security so you don't have to deal with servers or code. All 10 tools are ready to work instantly without any complex setup.
You stay in complete control of your data. Your AI only accesses the information you approve, keeping your sensitive passwords and private details completely safe. Plus, with automatic optimizations, your AI works faster and more efficiently.

* Every connection is hosted and maintained by Vinkius. We handle the security, updates, and infrastructure so you don't have to write code or manage servers. See our infrastructure
Over 4,000 integrations ready for AI agents
Explore a vast library of pre-built integrations, optimized and ready to deploy.
Connect securely in under 30 seconds
Generate tokens to authenticate and link external services in a single step.
Complete visibility into every agent action
Audit live requests, latency, success rates, and active security compliance policies.
Optimize spending and track token ROI
Analyze real-time token consumption and cost metrics detailed by connection.




Explore our live AI Agents Analytics dashboard to see it all working
This dashboard is included when you connect Keen using Vinkius. You will never be left in the dark about what your AI agents are doing with your tools.
Keen and 4,000+ other AI tools. No hosting, no code, ready to use.
Professionals who connect Keen to LlamaIndex through Vinkius don't need to write code, manage servers, or worry about security. Everything is pre-configured, secure, and runs automatically in the background.
Raw MCP | Vinkius | |
|---|---|---|
| Ready-to-use MCPs | Find and configure each manually | 4,000+ MCPs ready to use |
| Connection Setup | Manual coding & server setup | 1-click instant connection |
| Server Hosting | You host it yourself (needs 24/7 uptime) | 100% hosted & managed by Vinkius |
| Security & Privacy | Stored in plaintext config files | Bank-grade encrypted vault |
| Activity Visibility | Blind execution (no logs or tracking) | Live dashboard with real-time logs |
| Cost Control | Runaway AI token spend risk | Automatic budget limits |
| Revoking Access | Must delete files or code to stop | 1-click disconnect button |
How Vinkius secures
Keen for LlamaIndex
Every request between LlamaIndex and Keen is protected by our secure gateway. We automatically keep your sensitive data private, prevent unauthorized access, and let you disconnect instantly at any time.
Frequently asked questions
Can I record a single event using this agent?
Yes, the record_event tool allows you to send a JSON object representing your event directly to any named collection.
How do I calculate the average value of a property?
Use the average_property tool by specifying the collection name and the numeric target property you want to average.
Is it possible to see my project's collections?
Absolutely. The list_collections tool retrieves a list of all event types (collections) currently stored in your Keen project.
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 Keen 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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