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The Feedspace MCP server lets AI assistants read, manage, and display your reviews and testimonials through natural language. Instead of navigating dashboards, simply ask your AI assistant to filter reviews, create widgets, build Wall of Love pages, and more.

What is MCP?

The Model Context Protocol (MCP) is an open standard that enables AI assistants to securely connect to external tools and data sources. The Feedspace MCP server implements this protocol, giving AI clients direct access to your Feedspace workspace.

What Can You Do?

Manage Reviews

Browse, filter, favourite, label, and update your text, video, and audio reviews.

Collect Feedback

Create and customize review collection forms with shareable links.

Showcase Testimonials

Build embeddable widgets and Wall of Love pages to display your best reviews.

Team Collaboration

Invite team members, manage roles, and organize workspaces.

Key Highlights

  • 35+ tools across 8 modules covering reviews, forms, widgets, pages, labels, workspaces, team members, and imports
  • OAuth 2.1 with PKCE authentication — no API keys to manage, sign in securely with your Feedspace account
  • No delete operations — the MCP server intentionally prevents all destructive actions to keep your data safe from accidental AI-triggered deletions
  • Works with popular AI clients — Claude Desktop, Claude Code, Cursor, Windsurf, ChatGPT, and any MCP-compatible client

Supported Clients

ClientTransport
ChatGPTStreamable HTTP
ClaudeStreamable HTTP
LovableStreamable HTTP
V0Streamable HTTP
PerplexityStreamable HTTP
Any MCP-compatible clientStreamable HTTP

Setup & Installation

Connect the Feedspace MCP server to your AI client.

Tools Reference

Explore all 35+ available tools organized by module.

Use Cases & Examples

See real-world workflows and example prompts.

Troubleshooting

Fix common issues and find answers to frequently asked questions.