Tokenslash Server

v0.1.0

A powerful MCP server built with NitroStack

Connection Setup

Add via Cursor Settings UI (Settings > Features > MCP > Add New MCP Server):

{
  "mcpServers": {
    // your other mcp servers
    "tokenslash-server": {
      "url": "https://token-slash-main-serve-fable-stars-amrita-university-coimbatore.app.nitrocloud.ai/mcp"
    }
  }
}

Connect remote tools directly via Claude's Web UI:

Add custom connector BETA
Connect Claude to your data and tools. Learn more about connectors or get started with pre-built ones.
Advanced settings
Only use connectors from developers you trust. Anthropic does not control which tools developers make available and cannot verify that they will work as intended or that they won't change.

Configure custom tools directly via ChatGPT's Web UI:

New App
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Custom MCP servers introduce risk. Learn more
OpenAI hasn't reviewed this MCP server. Attackers may attempt to steal your data or trick the model into taking unintended actions, including destroying data.

Add the following configuration block under mcpServers in your Antigravity configuration file (~/.gemini/config/mcp_config.json):

{
  "mcpServers": {
    // your other mcp servers
    "tokenslash-server": {
      "serverUrl": "https://token-slash-main-serve-fable-stars-amrita-university-coimbatore.app.nitrocloud.ai/mcp"
    }
  }
}

Add the following configuration block to your Codex configuration file (~/.codex/config.toml):

[mcp_servers.tokenslash-server]
url = "https://token-slash-main-serve-fable-stars-amrita-university-coimbatore.app.nitrocloud.ai/mcp"

Connect directly using the Server-Sent Events endpoint:

https://token-slash-main-serve-fable-stars-amrita-university-coimbatore.app.nitrocloud.ai/mcp
Available Tools
analyze_prompt

Analyze an AI prompt end-to-end: estimate tokens, classify complexity, recommend a cheaper model, rewrite for efficiency, and project monthly savings. This is the main orchestration tool — call it once per user submission.

rewrite_prompt

Rewrite an AI prompt to reduce token count without losing intent. Preserves code blocks, stated constraints, output formats, and examples. Returns the optimized prompt and estimated token savings percentage.

synthesize_report

Merge Token Estimator, Complexity Classifier, Model Recommender, History Analyzer, and Prompt Rewriter outputs into one FinalReport for the UI.