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kbaise.com

MCP server that helps developers discover, compare, and get recommendations for tools compatible with Lovable projects, including recent AI model updates.

1 endpoint10 known toolsFirst detected September 19, 2026Last detected September 19, 2026

ENDPOINT 1

https://kbaise.com/api/public/mcp

No auth detected

MCP server metadata

Name
kbaise
Version
1.0.0
Capabilities
tools
Server instructions

Kbaise indexes tools that work with Lovable projects and tracks official model announcements. Call latest_model_updates before writing any model ID.

Known tools 10

search_tools

Search the Kbaise directory of tools that work with Lovable projects.

Inferred read-only
get_tool

Full dossier for one tool by slug: what it is, why it is picked, the trap to avoid, install notes, pricing and link health.

Inferred read-only
recommend_stack

Describe what you are building and get a recommended stack by role, with the traps to avoid and a paste-ready brief.

Inferred read-only
latest_model_updates

Recent official posts from OpenAI, Anthropic and Google.

Inferred read-only
compare_tools

Put 2-4 tools head to head: cost, why builders pick each, the trap, and how to wire it up.

Inferred read-only
decision_history

What Lovable builders actually shipped after comparing these tools, with the one-line reasons they gave.

Inferred read-only
audit_stack

Audit an existing stack: paste a package.json, dependency list, or prose.

Inferred read-only
community_stacks

Tool line-ups published by Lovable builders, most endorsed first.

Inferred read-only
trending_tools

Anonymous aggregate demand signal: which tools Lovable builders looked up in the last 7 days and which head-to-head comparisons they ran in the last 30.

Inferred read-only
weekly_digest

Everything that changed on Kbaise in a recent window: provider model releases, tools whose links broke, dossiers builders flagged as drifted, trending lookups and new community stacks.

Inferred read-only

CONNECT WITH APPROVAL

Client installation

Review this server and its permissions before adding it. Secret placeholders must be set locally.

Codex

~/.codex/config.toml

[mcp_servers.kbaise]
url = "https://kbaise.com/api/public/mcp"
enabled = true
Claude Code

.mcp.json

{
  "mcpServers": {
    "kbaise": {
      "type": "http",
      "url": "https://kbaise.com/api/public/mcp"
    }
  }
}
Claude Desktop

Settings → Connectors → Add custom connector

Name: kbaise
Remote MCP URL: https://kbaise.com/api/public/mcp

Add this remote URL as a custom connector in Claude Desktop. Availability depends on the user plan and workspace policy.

Cursor

.cursor/mcp.json

{
  "mcpServers": {
    "kbaise": {
      "url": "https://kbaise.com/api/public/mcp"
    }
  }
}
Visual Studio Code

.vscode/mcp.json

Add to Visual Studio Code
{
  "servers": {
    "kbaise": {
      "type": "http",
      "url": "https://kbaise.com/api/public/mcp"
    }
  }
}
Generic MCP

Client-specific MCP configuration

{
  "name": "kbaise",
  "transport": "streamable-http",
  "url": "https://kbaise.com/api/public/mcp"
}
MCP Inspector

Run the official MCP Inspector locally and enter the indexed Streamable HTTP endpoint.

TRUST AND VERIFICATION EVIDENCE

Loading Trust v2 evidence…

Checking the associated registrable domain. The BuiltWith key remains server-side.

Indexed

Evidence is source-attributed and does not guarantee that a third-party server is safe. Risk labels are conservative metadata heuristics.