Features Built for the Agentic Era

FeedbackFalcon goes beyond static screenshots. We capture the complete technical reality of your application and feed it directly to your AI workflow so you can stop reproducing bugs and start fixing them.

Native MCP Server: Feed Your AI

Stop manually copying and pasting error logs. FeedbackFalcon includes a built-in Model Context Protocol (MCP) server that connects directly to AI development environments like Cursor, Antigravity, and GitHub Copilot.

  • The "Black Box" Payload: Your AI agent can instantly fetch a granular snapshot of the bug, including the semantic Accessibility tree, network logs, console errors, and local application state.
  • Zero Context Switching: Review bugs, inspect the timeline, and instruct your AI to fix them without ever leaving your IDE.
AI Assistant
U

List the latest 3 open tasks from the project.

Media & Video Inspection

Visual proof is standard with FeedbackFalcon. The MCP integration allows immediate access to media.

  • Screenshots & Videos: Fetches direct URLs to the exact screenshots and video recordings attached to user feedback.
  • `inspect_video_segment`: AI assistants can surgically extract and inspect specific segments of a user's video timeline, helping developers narrow down the exact moment an interaction failed.
  • Action Timeline: Every click, navigation, and page interaction is mapped seamlessly to video keyframes, producing a complete timeline of user behavior for the agent.
API Error: 500
inspect_video_segment
00:03 - 0:04
"event": "Network Error",
"status": 500,
"user_action": "Click Submit",
...

Deep Two-Way Synchronization

Keep your workflow centralized and lose the messy email threads. We integrate natively with the tools modern development teams actually use: Linear, GitHub, and Jira.

  • True Comment Sync: When a developer or AI agent replies to a ticket inside Linear or GitHub, that comment syncs instantly back to the client in FeedbackFalcon.
  • Automated Status Updates: Drag a ticket to "Done" in your issue tracker, and the client's visual feedback ticket resolves automatically.
  • Native Attachment Sync: Screenshots, video recordings, and files attached in FeedbackFalcon are natively pushed directly to the issue tracker.

FeedbackFalcon

Client Interface

Waiting for feedback
ClientLooks good!
Resolved
Syncing...
Done

Issue Tracker

Linear / GitHub

T-144
1
In Progress
Done

Multi-Modal Agent Context

Don't just look at a screenshot. FeedbackFalcon attaches a collapsible, four-panel context grid to every task containing the exact Console Logs, Network Requests, Local State, and Accessibility Tree from the exact moment an issue occurred.

  • Raw System State: Capture the complete technical reality of your application entirely in the background.
  • Built for AI: This incredibly rich data payload is perfectly structured to be fed into your local AI agents via our Native MCP Server.

Checkout Button Unresponsive

Reported by Sarah over 2 mins ago.

Context
Network Logs
200 OK /api/user
200 OK /api/cart
500 ERR /api/checkout
Console
[Info] Component mounted.
Uncaught TypeError: Cannot read properties of undefined (reading 'cartId')
Local State
store: {cart: [ {...items} ],userId: "usr_9x",token: null}
A11y Tree
▼ document
▼ section [main]
button "Checkout"Target

Unlimited Collaboration & RBAC

Traditional bug trackers penalize you for growing your team. Our highly optimized architecture allows us to abandon the "seat tax" entirely.

  • Unlimited Guests: Send clients a secure link to drop pins and type their thoughts directly on your staging site without forcing them to create an account.
  • Role-Based Access Control: Safely invite dozens of freelance developers. Strict "Contributor" roles ensure that temporary team members can collaborate on bugs without ever accessing your administrative settings or project defaults.
Project Hub
1,000+ Concurrent Actions
Client Guests
Contributor Team

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