Bring Product Updates
to LlamaIndex
Create your Vinkius account to connect Beamer 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.
GDPR Free for SubscribersCompatible with every major AI agent and IDE
Gemini
What is the Beamer MCP Server?
Connect your Beamer account to any AI agent and streamline your product communication and user engagement workflows through natural conversation.
What you can do
- Post Management — Create, list, update, and delete product update posts to keep your users informed.
- User Engagement — Monitor Beamer notifications and track how users interact with your updates.
- Analytics Insights — Retrieve real-time analytics data to understand the reach and impact of your announcements.
- Feedback Collection — List and inspect user feedback and reactions to your product changes.
- User Auditing — List managed users within your Beamer project for better oversight.
How it works
- Subscribe to this server
- Enter your Beamer API Key
- Start communicating your product roadmap from Claude, Cursor, or any MCP-compatible client
Who is this for?
- Product Managers — draft and publish product updates without switching tools.
- Customer Success Teams — monitor user feedback and reactions to new features in real-time.
- Marketing Teams — retrieve analytics on announcement performance for reporting.
Built-in capabilities (10)
Create a new Beamer post
Delete a Beamer post
Retrieve Beamer analytics data
Get details of specific feedback
Get details of a specific Beamer post
List customer feedback
List Beamer notifications
List all Beamer posts
List Beamer users
Update an existing Beamer post
Why LlamaIndex?
LlamaIndex agents combine Beamer 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 Beamer tool responses with indexed documents for comprehensive, grounded answers
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Query pipeline framework lets you chain Beamer tool calls with transformations, filters, and re-rankers in a typed pipeline
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Multi-source reasoning: agents can query Beamer, a vector store, and a SQL database in a single turn and synthesize results
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Observability integrations show exactly what Beamer tools were called, what data was returned, and how it influenced the final answer
Beamer in LlamaIndex
Why run Beamer with Vinkius?
The Beamer 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 Beamer using Vinkius. You will never be left in the dark about what your AI agents are doing with your tools.
Beamer and 4,000+ other AI tools. No hosting, no code, ready to use.
Professionals who connect Beamer 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
Beamer for LlamaIndex
Every request between LlamaIndex and Beamer 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 draft and publish a new product update from the agent?
Yes! Use the create_post action with your title and content. You can also set the publish parameter to true to make it live immediately.
How do I see recent user feedback on my posts?
Simply ask the agent to list_feedback. It will retrieve the latest reactions and comments from your Beamer feed for your review.
Does the integration provide reach metrics for my announcements?
Yes. Use the get_analytics tool to fetch data on views, clicks, and engagement across your Beamer posts.
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 Beamer 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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