Beamer MCP. Manage posts, analytics, and user feedback flow.
Works with every AI agent you already use
…and any MCP-compatible client
Just plug in your AI agents and start using Vinkius.
Beamer MCP Server manages product updates and user feedback. Use it to create posts, track analytics, and monitor user sentiment directly from your AI agent.
It lets you list all posts, retrieve real-time analytics, and inspect specific user feedback without leaving your chat client. Manage your product roadmap and user communication through one place.
What your AI agents can do
Create post
Creates a new product update post in Beamer.
Delete post
Removes an existing product update post from Beamer.
Get analytics
Retrieves real-time performance data for your Beamer announcements.
Use create_post to draft and publish new product updates, and update_post to revise existing content.
Call list_feedback to see all customer input, or use get_feedback_details to examine specific user comments.
Run get_analytics to pull real-time data showing how widely and how well your announcements are performing.
Use list_posts and delete_post to view all published content or remove outdated posts.
Check list_notifications for system alerts and use list_users to audit your managed accounts.
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Supported MCP Clients
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Beamer MCP Server: 10 Tools for Product Ops
These tools let your AI agent manage your entire product communication lifecycle—from drafting posts to analyzing feedback and tracking metrics.
019d7559create post
Creates a new product update post in Beamer.
019d7559delete post
Removes an existing product update post from Beamer.
019d7559get analytics
Retrieves real-time performance data for your Beamer announcements.
019d7559get feedback details
Gets specific details for a piece of user feedback.
019d7559get post
Retrieves all details for a specific Beamer post.
019d7559list feedback
Lists all collected user feedback and reactions to your product changes.
019d7559list notifications
Shows a list of recent system notifications within Beamer.
019d7559list posts
Retrieves a list of all published Beamer posts.
019d7559list users
Lists all managed user accounts within your Beamer project.
019d7559update post
Modifies the content or status of an existing Beamer post.
Choose How to Get Started
Build a custom MCP for your own tools, or connect a ready-made integration from our catalog.
Build Your Own
Turn any API into an MCP. Import a spec, define Agent Skills, or deploy with MCPFusion.
- Import from OpenAPI, Swagger, or YAML specs
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- Deploy to edge with MCPFusion framework
- Built in DLP, auth, and compliance on every call
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- Publish to catalog or keep private
Make Your AI Do More
Start with Beamer, then connect any of our 4,700+ other servers whenever your AI needs more. One click, no limits.
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- Works with Claude, ChatGPT, Cursor, and more
- New servers added to the catalog every week
What you can do with this MCP connector
You'll use this server to manage your product updates and user feedback right from your AI client. You can create new product posts with create_post and revise existing content using update_post. Need to take down an old announcement? delete_post handles that too. You can see all published content by calling list_posts, or check details for a specific post using get_post.
When it comes to feedback, you can list every user input and reaction with list_feedback, or dig into the specifics of a single comment using get_feedback_details. Want to know how well your announcements are doing? Run get_analytics to pull real-time performance data. You can check system alerts with list_notifications and audit your managed accounts by running list_users.
You'll also be able to retrieve real-time performance data for your Beamer announcements via get_analytics.
How Beamer MCP Works
- 1 Subscribe to the Beamer server and enter your Beamer API Key.
- 2 Your AI agent sends a request (e.g., 'List the last 5 posts published on Beamer.')
- 3 The agent executes the necessary tool (e.g.,
list_posts) and returns the structured data to your chat window.
The bottom line is you talk to your AI client, and it runs the Beamer commands for you.
Who Is Beamer MCP For?
Product Managers, Customer Success Leads, and Marketing Managers. If your job involves communicating feature updates, collecting user sentiment, or reporting on content performance, this server handles the heavy lifting. It cuts out the need to jump between Beamer, Google Analytics, and your internal Notion board.
Draft and publish product updates using create_post and update_post without ever leaving the chat interface.
Monitor incoming user feedback using list_feedback and investigate specific issues with get_feedback_details to guide product fixes.
Retrieve performance metrics using get_analytics to write reports on how well recent announcements performed.
What Changes When You Connect
- See real-time impact data by running
get_analytics. You instantly know the reach and performance of any announcement without logging into a separate analytics dashboard. - Draft and publish content without context switching. Use
create_postandupdate_postto manage your entire product roadmap from within your chat client. - Monitor user sentiment in one place. Use
list_feedbackto pull all raw user comments, and thenget_feedback_detailsto investigate the source of specific complaints. - Keep track of every piece of content. Use
list_poststo see all published announcements, andget_postto pull the full content of any single entry. - Audit your user base efficiently.
list_usersgives you a clean list of all managed accounts, keeping your records accurate. - Stay informed about system changes.
list_notificationspulls recent Beamer alerts, ensuring you never miss an important system update.
Real-World Use Cases
Needing to report on a failed feature launch
The PM knows the 'Dashboard UI' announcement was weak. They ask their agent to run get_analytics for that post. The agent returns low reach metrics. Next, the PM runs list_feedback to see why—finding complaints about poor mobile support. They then use the feedback to run update_post on the original announcement, correcting the record.
Onboarding a new customer success team
The CS lead needs to know who's talking to the product. They ask the agent to run list_users to get the full roster. They then use list_notifications to see what support tickets were flagged overnight. This gives them immediate context on the current operational state.
A content update needs revision based on data
The marketing team drafts a post about 'API v2.' They run create_post first. Later, they run list_feedback and see several users mention a bug. They use get_feedback_details to confirm the bug and then use update_post to revise the post, warning users about the known issue.
Need to clean up old, irrelevant content
A project ends, and the old 'Beta Test' posts clutter the feed. The user asks the agent to list_posts. They identify the target posts and then run delete_post to keep the feed clean and focused on current product strategy.
The Tradeoffs
Manually checking everything
Logging into Beamer, going to Analytics, then switching to the Feedback tab, and finally opening a user spreadsheet to compare data. This takes 20 minutes and requires 4 different browser tabs.
→
Tell your agent to run get_analytics and list_feedback in sequence. The agent combines the data points and presents a single, actionable summary in your chat.
Forgetting to update content
The product team publishes a post (create_post) about a feature, but when the feature changes, they forget to change the post, leaving users with bad information.
→
Use list_posts to find the original post, and then use update_post to correct the details. Always verify the post status first using get_post.
Ignoring user feedback data
Publishing a post about a feature without first checking the user sentiment. This leads to low adoption because the feature doesn't solve a real user pain point.
→
Before publishing, run list_feedback and get_feedback_details. Use the insights to adjust your message and make the post more relevant.
When It Fits, When It Doesn't
Use this server if your core job is managing the lifecycle of public product information. You need to correlate what was announced (posts), how users reacted (feedback), and how it performed (analytics). You must be able to move from 'What do we say?' to 'How do we know they listened?' in a single conversation. Don't use this if you only need to write a standalone blog post or manage a simple CRM record; those require different tools. If your process is about content visibility and user sentiment, this is the one.
Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Beamer. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.
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Works with Claude, ChatGPT, Cursor, and more
The Model Context Protocol standardizes how applications expose capabilities to LLMs. Instead of operating in isolation, your AI gains direct access to external platforms, live data, and real-world actions through secure, standardized connections.
This server provides 10 capabilities that interface natively with Claude, ChatGPT, Cursor, and any MCP client. No middleware. No custom integration required.
Available Capabilities
Managing product updates shouldn't require four different dashboards.
Today, updating a product announcement means opening Beamer to write the post. Then you switch to the Analytics tab to see if people read it. Next, you jump to a separate feedback tool to see if they liked it. Finally, you copy-paste the key metrics into a spreadsheet for the weekly report.
With Beamer MCP, you tell your agent what you need. It runs `list_posts` to show you the content. Then it runs `get_analytics` to give you the numbers. You get the full story—the content, the performance, and the context—right in your chat.
Beamer MCP Server: Control your product messaging with `create_post` and `update_post`.
You don't have to manually draft, hit 'save,' then log in again to hit 'publish.' You just tell your agent, 'Draft a post about X' and 'Publish it now.'
What's different now is that the entire content pipeline—from draft to published post, and even revision—happens within one conversational flow. You own the narrative.
Common Questions About Beamer MCP
How do I check if a specific Beamer post is still active using the Beamer MCP Server? +
Use the get_post tool. This retrieves all details for a specific post ID, confirming its status and content without manually navigating the Beamer UI.
What is the difference between `list_posts` and `get_analytics` in the Beamer MCP Server? +
list_posts just gives you a list of titles and IDs. get_analytics retrieves the quantitative performance data, showing reach and impact numbers.
Can I see what users are complaining about using the Beamer MCP Server? +
Yes. Run list_feedback to get a list of all submissions. Then, use get_feedback_details to drill down and read the full context of a specific complaint.
Does the Beamer MCP Server let me schedule posts? +
The server allows you to create_post and update_post content. While scheduling isn't explicitly listed, you can draft and save the content through the agent for later publication.
How do I view all users managed by Beamer using the Beamer MCP Server? +
Run the list_users tool. It pulls a clean list of all managed user accounts within your Beamer project.
How do I use the `get_feedback_details` tool in the Beamer MCP Server? +
The get_feedback_details tool retrieves specific user feedback. You provide the unique feedback ID, and the server returns the full text, the user who submitted it, and any associated reactions.
What is the difference between `list_users` and `list_notifications` using the Beamer MCP Server? +
The list_users tool pulls a roster of all managed Beamer accounts. Meanwhile, list_notifications shows recent activity alerts, such as when a post was updated or new feedback came in.
How does the Beamer MCP Server handle post deletion using `delete_post`? +
The delete_post tool permanently removes a specified post by its ID. It executes immediately and requires the post ID for confirmation.
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.
Use it with your favorite AI tools
Connect this server to Cursor, Claude, VS Code, and more.
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