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Enables agents to report and query performance metrics to build a community-driven quality database for MCP tools. This server helps agents discover and select
Enables agents to report and query performance metrics to build a community-driven quality database for MCP tools. This server helps agents discover and select the most reliable tools based on success rates and user-reported quality scores.
Community-driven quality signals for MCP tools. Agents report tool results, building a quality database that helps all agents pick better tools.
Agents don't know which MCP tools are reliable. They try tools blindly and hope for the best.
Automated feedback: agents report success/failure and quality after each tool call. Over time, a quality database emerges that helps every agent make better decisions.
pip install agent-feedback-mcp-server
{
"mcpServers": {
"feedback": {
"command": "uvx",
"args": ["agent-feedback-mcp-server"]
}
}
}
| Tool | Description |
|---|---|
report_tool_result |
Report success/failure and quality score |
get_tool_quality |
Get quality metrics for a specific tool |
get_best_tools |
Find highest-rated tools (optionally by task) |
get_trending_tools |
See what's trending recently |
More agents reporting → Better quality data → Better tool choices → More agents using → More reports. The database gets better with every user.
| Category | Servers |
|---|---|
| 🔗 Blockchain | Solana |
| 🌍 Data | Weather · Germany · Agriculture · Space · Aviation · EU Companies |
| 🔒 Security | Cybersecurity · Policy Gateway · Audit Trail |
| 🤖 Agent Infra | Memory · Directory · Hub · Reputation |
| 🔬 Research | Academic · LLM Benchmark · Legal |
MIT
Добавь это в claude_desktop_config.json и перезапусти Claude Desktop.
{
"mcpServers": {
"agent-feedback-loop": {
"command": "npx",
"args": []
}
}
}