About GO AI Tools
31 no-AI tools: image conversion and EXIF stripping, App Store assets, colour maths. No API key
Configuration
Remote servers need no local install. Pick your client, then copy the config or install in one click.
https://goaichat.app/mcp-tools/mcpclaude mcp add --transport http app-goaichat-tools https://goaichat.app/mcp-tools/mcp{"mcpServers":{"app-goaichat-tools":{"type":"http","url":"https://goaichat.app/mcp-tools/mcp"}}}Open in Cursor{"servers":{"app-goaichat-tools":{"type":"http","url":"https://goaichat.app/mcp-tools/mcp"}}}Open in VS Code{"mcpServers":{"app-goaichat-tools":{"type":"http","url":"https://goaichat.app/mcp-tools/mcp"}}}{"mcpServers":{"app-goaichat-tools":{"serverUrl":"https://goaichat.app/mcp-tools/mcp"}}}Run commands in a terminal; paste JSON into the client’s MCP config and restart. Servers that need sign-in will prompt on first connect.
Tools
31| Parameter | Type | Required | Description |
|---|---|---|---|
| text | string | Yes | The text to estimate, up to 1000000 characters (roughly 250K tokens). An empty string is valid and yields 0 tokens. |
| calls | number | No | Number of times this input/output pair will be sent, to scale total cost. Defaults to 1; values below 1 are treated as 1. |
| contextWindows | array | No | Custom context windows to check fit against, e.g. [{"name":"my-model","sizeTokens":32000}]. Omit to use the site default set (8K, 128K, 200K, 1M, 2M). |
| expectedOutputTokens | number | No | Assumed reply length in tokens, used only to estimate output cost. Defaults to 500. |
| inputPricePerMillionUsd | number | No | USD price per 1,000,000 input tokens, from the provider's current pricing page. Omit to skip input cost -- no default is assumed, since a stale hardcoded price would be worse than none. |
| outputPricePerMillionUsd | number | No | USD price per 1,000,000 output tokens. Omit to skip output cost. |
Details
The maintainer has not added details yet. Check the README in the repository.
Comments
New to MCP?
From what the protocol is to installing your first server, these answers cover most first questions.
An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.