Perf MCP runs on your own machine — the client starts it, so there is no endpoint to ping. 30 installs a week from npm. Last commit 19 Feb 2026.
Fact-check and fix AI outputs. Hallucination detection, schema validation, auto-repair.
Today is the operative word: we check Perf MCP every 15 minutes and re-read its code on every release. Watch it and you find out the day that stops being true.
This server runs on your own machine — install it with the package manager and the client starts it for you. Package name taken from the official registry entry.
claude mcp add perf-mcp -- npx -y perf-mcp
{
"mcpServers": {
"perf-mcp": {
"args": [
"-y",
"perf-mcp"
],
"command": "npx"
}
}
}
[mcp_servers.perf-mcp]
command = "npx"
args = ["-y", "perf-mcp"]
{
"mcpServers": {
"perf-mcp": {
"args": [
"-y",
"perf-mcp"
],
"command": "npx"
}
}
}
{
"mcpServers": {
"perf-mcp": {
"args": [
"-y",
"perf-mcp"
],
"command": "npx"
}
}
}
This one needs environment variables set before it will start:
PERF_API_KEY (Your Perf API key (get one at dashboard.withperf.pro)).
The author declared them in the registry entry; get the values from the project itself.
Hallucination validator and factual grounding checker for LLM outputs.
Detect fabrication and hallucination in any LLM output. 30+ models supported.
Pay-per-call JSON repair + JSON Schema validation for AI agents (USDC on Base, x402).
Public registry of code-knowledge graphs for AI agents with schema validation and drift detection.
Hallucination & safety checks for LLM/Agent outputs: claim-level fact-check with citations.
Output quality control and validation for AI agents
LLM evals as MCP tools: score outputs for faithfulness, relevancy, and hallucination.
Document tooling for AI agents: PDF/text reading, chunking, schema-validated JSON output.
Answers built from our own checks of this server.