Homesage.ai vs Reel Estate MCP — MCP Server Comparison | AllMCPs
Side-by-Side Model Context Protocol Comparison
Homesage.ai vs Reel Estate MCP
In-depth architectural comparison of the Homesage.ai and Reel Estate MCP MCP servers. Compare execution transports, security boundaries, tool capabilities, quality scores, and ready-to-paste client installation snippets for Claude, Cursor, Windsurf, and VS Code.
At a Glance & Executive Verdict
Homesage.ai
Real Estate · Local stdio
Quality: 44/100 (Fair) | Auth: No auth required
Reel Estate MCP
Real Estate · Local stdio
Quality: 60/100 (Good) | Auth: OAuth 2.0
Verdict Summary: Choose Homesage.ai if you need specialized Real Estate tools running via a local process. Choose Reel Estate MCP if your workspace requires Real Estate integration with local subprocess execution. Both servers can be configured concurrently in your client's mcpServers manifest.
Which MCP Server Should You Choose?
Choose Homesage.ai when:
You need dedicated capabilities in the Real Estate domain.
You prefer local stdio subprocess transport architecture.
Your security boundary fits: No auth required (Free / Open Source).
Primary tools included: Investment-property search, Real estate APIs for developers, Insights across more than 155 million U.S. properties.
Insights across more than 155 million U.S. properties
Audience coverage for investors, realtors, and lenders
Reel Estate MCP Tools (23)
whoami
Show the upstream MCP URL, read-only flag, the account plan, whether writes are allowed (canWrite) with a plain-language writeAccess reason, and the live /users/profile response for the OAuth-authenticated user. Good first call to confirm auth and whether create/generate/render tools will work (free accounts are read-only over the MCP). If not signed in, it returns a 'run login' error — use the `login` tool.
login
Ready-to-Paste Client Configurations
Paste either (or both) of these JSON server blocks into your client config file (e.g. claude_desktop_config.json or ~/.cursor/mcp.json).
Homesage.ai is categorized under Real Estate and uses a local stdio subprocess. In contrast, Reel Estate MCP belongs to Real Estate using local stdio subprocess. Select Homesage.ai when you need capabilities focused on real estate and Reel Estate MCP when you require tools for real estate.
Authenticate with the backend. If not already logged in, returns an authorization URL to open in your browser; approve the sign-in and the token is cached in the background, then retry your action. (Browser-based login can't be popped reliably from here, so you click the link.)
logout
Clear the cached OAuth session (and best-effort revoke it server-side) so the next tool call re-authenticates via the browser. Use to switch accounts or reset a broken auth state.
list_projects
GET /projects for the authenticated user. Supports paging, sorting, search, and status filter.
get_project
GET /projects/:id — full project document for the authenticated user.
project_stats
GET /projects/stats — aggregate project counts/metrics for the authenticated user.
list_clips
Clips for the authenticated user. With projectId -> GET /clips/project/:projectId; otherwise GET /clips (the clip library) with paging/status.
list_movies
Rendered movies for the user. With projectId -> GET /movies/project/:projectId; else GET /movies.
list_voices
GET /voices — voiceover voices available to the user (stock + cloned).
get_usage
GET /billing/usage — credit and export usage for the authenticated user.
help
Guided, numbered walkthrough of the whole pipeline — sign in → create a project → add photos → edit → animate clips → add music/voiceover/overlays → arrange → render — with example args and the gotchas (async polling, paid gating). Call this first if you're not sure where to start.
list_endpoints
Return the curated catalog of API endpoints (grouped) so you know what `api_request` can call. Not exhaustive — every mounted route is reachable, this covers the main surface.
AI-powered investment property search for investors, realtors, and lenders, with real estate APIs for developers and insights across more than 155 million U.S. properties.
Turn real-estate listing photos into property videos from your AI assistant.