MCP MeasureMCP Measure

index observed

Encouragement MCP

Provides short, positive encouragement messages for AI agents during long-running or difficult tasks

Should I use this

Quality & Safety

B
Description quality
70%
Schema completeness
30%
Naming quality
80%
Poisoning risk
100%
Permission match
100%
Protocol compliance
100%

Findings (1)

  • LOWTool 'encourage_agent' description lacks action verbin encourage_agent

Based on automated analysis of tool definitions and protocol compliance.

Context Cost

~54Tokens (tool definitions)
~255 BTypical response size
Minimal attention impact (0.04% 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": {
    "encouragement-mcp": {
      "url": "https://encouragement-mcp.zeke-rutledge.workers.dev/mcp"
    }
  }
}

Remote endpoints

https://encouragement-mcp.zeke-rutledge.workers.dev/mcpstreamable-http
https://encouragement-mcp.zekedoesai.com/mcpstreamable-http

What it can do

Tool inventory

Tools (1)

🟢 Read-only🟡 Write🔴 Delete⚪ Unknown
⚪encourage_agent

Return a short message of encouragement for an AI coding agent.

Input Schema

{
  "type": "object",
  "properties": {},
  "$schema": "http://json-schema.org/draft-07/schema#"
}

Community

Rate this Server

Evidence

Recent observations

verifiedversion not recorded1 tools
verifiedversion not recorded1 tools
verifiedversion not recorded1 tools
verifiedversion not recorded1 tools