specky
Turn raw customer feedback into evidence-cited specs (free, no key) plus 16 PM tools.
Should I use this
Quality & Safety
A
Based on automated analysis of tool definitions and protocol compliance.
Context Cost
~110Tokens (tool definitions)
~507 BTypical response size
Minimal attention impact (0.09% of 128k context)
This is the approximate number of tokens consumed each time the server's tools are loaded into a model's context. Higher counts reduce the attention available for other tasks.
Install
One-Click Install
Add this to your `claude_desktop_config.json` file:
{
"mcpServers": {
"specky": {
"url": "https://www.specky.space/api/mcp"
}
}
}Remote endpoints
https://www.specky.space/api/mcpstreamable-httpWhat it can do
Tool inventory
Tools (1)
🟢 Read-only🟡 Write🔴 Delete⚪ Unknown
⚪feedback_to_spec(feedback)
Turn one piece of raw customer feedback (a Slack message, review, support ticket, or email) into a prioritized, evidence-backed product insight and a PRD problem statement — with the exact verbatim quotes that justify it. No account or API key required. Rate-limited per caller.
Input Schema
{
"type": "object",
"properties": {
"feedback": {
"type": "string",
"description": "Raw customer feedback text to analyze."
}
},
"required": [
"feedback"
],
"additionalProperties": false
}Community
Evidence
Recent observations
verifiedversion not recorded1 tools
verifiedversion not recorded1 tools