A powerful MCP server built with NitroStack
Add via Cursor Settings UI (Settings > Features > MCP > Add New MCP Server):
{
"mcpServers": {
// your other mcp servers
"perspectake": {
"url": "http://perspectake-1-6ae7264b-y-r-rishidhar-reddy-fronthyre.app.nitrocloud.ai/mcp"
}
}
}
Connect remote tools directly via Claude's Web UI:
Configure custom tools directly via ChatGPT's Web UI:
Add the following configuration block under mcpServers in your Antigravity configuration file (~/.gemini/config/mcp_config.json):
{
"mcpServers": {
// your other mcp servers
"perspectake": {
"serverUrl": "http://perspectake-1-6ae7264b-y-r-rishidhar-reddy-fronthyre.app.nitrocloud.ai/mcp"
}
}
}
Add the following configuration block to your Codex configuration file (~/.codex/config.toml):
[mcp_servers.perspectake] url = "http://perspectake-1-6ae7264b-y-r-rishidhar-reddy-fronthyre.app.nitrocloud.ai/mcp"
Connect directly using the Server-Sent Events endpoint:
http://perspectake-1-6ae7264b-y-r-rishidhar-reddy-fronthyre.app.nitrocloud.ai/mcp
Retrieve a creator profile (niche, target audience, interests) and their previous LinkedIn post history from the local sample dataset. Use this to understand a creator before judging originality.
Save a refined LinkedIn post angle to the creator's saved ideas list and return its saved idea ID.
Open the PerspecTake landing screen to enter a LinkedIn post idea, niche and audience, then analyze its originality.
Assess how original a LinkedIn post idea is. Compares the idea with a reference collection and the creator's own past posts, and returns a category (Common framing / Somewhat distinctive / Distinctive angle), generic framing found, similar reference ideas, and a follow-up question. The assessment is based only on the available reference material and cannot prove an idea has never been published.
Turn a generic LinkedIn post idea into a more distinctive angle using the creator's own personal experience or insight. Preserves the creator's meaning and does not invent experiences, numbers, or evidence.