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Health: ActiveRecent health check succeeded.Last checked 10/14/2026, 5:01:26 PM

Feedbacks

UnverifiedWe have not yet confirmed this server installs or runs. User RatingsBe the first to rate and review this MCP server!
View Repository35 GitHub StarsTotal stargazers on GitHub for the source repository (35 stars).Visit Website
feedbacksession-replaydebuggingself-hosteddeveloper-tools

Self-hosted MCP access to visual feedback, recordings, diagnostics, project context, and verification workflows.

Quick Install

Automated & IDE Setup

Copy the AI prompt to install this server into Claude Code, Cursor, or another agent — or use 1-click editor setup below.

One-click editor setup isn’t available for this listing yet — we don’t have a confirmed install command, and we’d rather show nothing than point your editor at the wrong package or host. Follow the project’s own setup instructions, linked above.

Manual Client & Custom JSON ConfigExpand JSON ▾
No confirmed setup config for this listing yet. We only publish a config block when the install details come from the project itself — its README, its docs, or a verified owner. We haven’t found those for Feedbacks, and we’d rather show nothing than a guess you’d paste into your client. Follow the project’s own setup instructions for the current steps.
Install Directory Badge Claim listing Alternatives💻 More in Developer Tools

Overview

Feedbacks MCP server connects coding assistants to a self-hosted team workspace for visual website feedback and debugging evidence. It keeps discussions, screenshots, recordings, browser diagnostics, event timelines, and approved project context together, with scoped agent reads and recording exports. Reach for it when an agent needs more context than source code alone provides while investigating or verifying a reported issue. The service requires a team deployment, private storage, PostgreSQL, and an MCP client setup for each developer.

Use cases

•Investigate a reported browser bug with screenshots and session evidence
•Give coding agents approved project and reviewer instructions
•Export recordings for debugging or verification
•Review feedback threads with diagnostics and event timelines

Key features

•Scoped MCP reads for feedback evidence
•Approved project context for agents
•Recording export support
•Screenshot, annotation, and session replay workflows
•Browser console, network, and performance diagnostics
•Self-hosted PostgreSQL and S3-compatible storage

Capabilities & Tool Schemas

Inspect callable tools, capabilities, and parameters exposed to AI agents by Feedbacks.

Extracted Tool Capabilities
Scoped MCP reads for feedback evidence
Approved project context for agents
Recording export support
Screenshot, annotation, and session replay workflows
Browser console, network, and performance diagnostics
Self-hosted PostgreSQL and S3-compatible storage

How Feedbacks works

What Feedbacks MCP server does

Feedbacks MCP server gives coding assistants access to selected evidence from a Feedbacks team server. The surrounding application collects website feedback through screenshots, annotations, full-page captures, selected-text suggestions, video, and session-only recordings. It also stores discussion threads, event timelines, console data, network information, performance details, checksums, and verification checks.

The MCP connection is intended to add project and review context to agent work. Approved project instructions, reviewer guidance, and responsibilities can be provided through MCP, the API, and the CLI. Agent access is scoped rather than being an unrestricted view of the whole installation. Recording exports are also supported.

How it works

An administrator first deploys one Feedbacks installation for an organization. The team then connects the Chrome extension to that server and configures project context, members, and any optional GitHub App integration. Each developer configures a personal MCP connection using a scoped key. The extension captures browser evidence; it does not run the server.

Feedbacks MCP server works alongside the web application and its storage layer. Production deployments require HTTPS, PostgreSQL, and private S3-compatible storage. The repository also includes a CLI with a stdio MCP adapter, so an MCP-compatible coding assistant can connect through a local process after the application is available.

Setup and configuration

For local development, the documented sequence uses Node.js 22 or 24, npm, and Docker Compose for PostgreSQL:

  • Clone the repository and run npm ci.
  • Copy .env.example to .env.
  • Start the development database with docker compose -f compose.dev.yaml up -d --wait.
  • Set BOOTSTRAP_EMAIL, BOOTSTRAP_NAME, and a unique BOOTSTRAP_PASSWORD before running bootstrap.
  • Run npm run bootstrap, npm run build, and npm run dev:server.

The bootstrap password should be removed after the first owner is created. A registry deployment is also documented through the public Docker Hub image and registry Compose configuration. Follow the project’s deployment documentation for production configuration, recovery, and storage fields.

Tools and capabilities

The available MCP-related capabilities described by the project include:

  • Reading approved project instructions and reviewer guidance within scope.
  • Providing agent responsibilities and project context.
  • Reading scoped feedback and evidence bundles.
  • Exporting recordings for investigation or review.
  • Using the same operational context through the API and JSON CLI.

The broader Feedbacks workflow supports assignments, categories, tags, saved views, point progress, and optional GitHub Issues. These application features are not necessarily separate MCP tools.

Limitations and notes

Feedbacks MCP server is part of an early 0.x release. One application deployment serves one organization. Public registration, billing, SSO, and shared-database multi-tenant customer support are not implemented. The team must provide and operate the infrastructure, including production storage and PostgreSQL.

The README names Claude Code, Codex, and Gemini CLI integrations. The repository includes bundled Claude Code and Codex plugins, while Gemini CLI uses a thin adapter to the same instructions. Access depends on the configured server, project scope, and developer credentials.

Read the full README →View source on GitHub →

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Adoption & maintenance

Factual signals from GitHub, npm, and our automated checks — not a rating.

GitHub stars
35
Stargazers on the source repository.
Last commit
Today
Most recent push to the default branch.

Reviews

No reviews yet — be the first to share how this listing worked for you.

Frequently Asked Questions about Feedbacks

Feedbacks is an MCP server that connects coding assistants to a self-hosted Feedbacks team workspace. Its main tools provide scoped access to approved project instructions, reviewer guidance, feedback evidence, and recording exports, so agents can investigate visual reports and debugging context alongside the application’s discussions and diagnostics.

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Technical Specs & Signals

Category💻Developer Tools
More technical detailsExpand ▾
LicenseApache-2.0
ClientsClaude Desktop, Cursor, Cline / VS Code, Windsurf, Claude Code, VS Code (GitHub Copilot), Zed, OpenAI Codex CLI, Gemini CLI, JetBrains AI Assistant, Roo Code, Continue, LM Studio
Last updatedOct 14, 2026
Views0
Unique ViewsTotal visits recorded for this listing page on AllMCPs.
Installs0
Installs & Copy ActionsTotal times users copied install commands or configuration snippets for this server.
GitHub stars35
GitHub Star CountTotal stargazers on GitHub representing community popularity (35 stars).
Last commitToday
Last Repository CommitThe most recent commit or push recorded for this server's GitHub repository.Last commit on Oct 14, 2026
37Quality signal: Fair · 37/100How this signal is calculated ▾
Server availabilityNot measured

Not scored for repo-hosted servers — we can't reach the running server, only its GitHub page. Hosted MCP endpoints are health-checked live.

Verified ownership10/20
Documentation & tools11/30
Adoption & activity7/15
Community engagement0/10

A guidance signal from public completeness & health data — not a user rating. New listings start lower and rise as they add docs, get verified, and grow adoption. Signals we can't observe for a listing are skipped, not counted against it.

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call4me lets your AI agent make real phone calls for you. Ask Claude, ChatGPT, Cursor, Codex or your own app to book a table, schedule a dentist appointment, cancel a subscription or ask a business a question. It calls, waits on hold, gets through the phone menu, talks to the person who answers, and reports back with the outcome and a transcript. It can also ring you to join the call. Calls are paid from prepaid credits, starting at $10.

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