perf-mcp
Fact-check and fix AI outputs. MCP server for hallucination detection, schema validation, and output correction.
Documentation
perf-mcp
Fact-check and fix AI outputs. Catches hallucinations, repairs broken JSON, corrects errors — before they reach users.
Works with Claude Code, Cursor, Windsurf, Cline, and any MCP-compatible client.
Quick Start
Add to your MCP client config:
{
"mcpServers": {
"perf": {
"command": "npx",
"args": ["-y", "perf-mcp"],
"env": {
"PERF_API_KEY": "pk_live_xxx"
}
}
}
}Get your API key at dashboard.withperf.pro — 200 free verifications, no credit card.
Tools
`perf_verify`
Detect and repair hallucinations in LLM-generated text. Uses multi-channel verification (web search, NLI models, cross-reference) — not just another LLM check.
perf_verify({ content: "The Eiffel Tower was built in 1887." })
→ Corrected: "built in 1887" → "inaugurated in 1889" (89% confidence)`perf_validate`
Validate LLM-generated JSON against a schema and auto-repair violations. Fixes malformed enums, wrong types, missing fields, hallucinated properties.
perf_validate({
content: '{"name": "John", "age": "twenty"}',
target_schema: { type: "object", properties: { name: { type: "string" }, age: { type: "number" } } }
})
→ Rejected: /age must be number`perf_correct`
General-purpose output correction. Classifies the error type and applies the right fix — hallucination, schema violation, semantic inconsistency, or instruction drift.
perf_correct({ content: "The Great Wall was built in 1950.", correction_budget: "fast" })
→ Corrected: temporal_error + factual_error detected (87% confidence)`perf_chat`
Route LLM requests to the optimal model automatically. Selects between GPT-4o, Claude, Gemini, and 20+ models based on task complexity. OpenAI-compatible format.
Setup by Client
Claude Code
Add to your project's `.mcp.json`:
{
"mcpServers": {
"perf": {
"command": "npx",
"args": ["-y", "perf-mcp"],
"env": {
"PERF_API_KEY": "pk_live_xxx"
}
}
}
}Cursor
Settings → MCP → Add Server:
{
"mcpServers": {
"perf": {
"command": "npx",
"args": ["-y", "perf-mcp"],
"env": {
"PERF_API_KEY": "pk_live_xxx"
}
}
}
}Windsurf
Add to `~/.codeium/windsurf/mcp_config.json`:
{
"mcpServers": {
"perf": {
"command": "npx",
"args": ["-y", "perf-mcp"],
"env": {
"PERF_API_KEY": "pk_live_xxx"
}
}
}
}Environment Variables
| Variable | Required | Description |
|---|---|---|
| `PERF_API_KEY` | Yes | Your Perf API key (`pk_live_xxx`) |
| `PERF_BASE_URL` | No | Override API URL (for testing) |
Pricing
| Plan | Credits | Price |
|---|---|---|
| Free | 200 verifications | $0 (never expires) |
| Pro | 1,000/mo | $19/mo |
| Pay-as-you-go | Unlimited | $0.02/verification |
1 tool call = 1 credit. Get started at dashboard.withperf.pro.
License
MIT
Frequently asked questions
What is perf-mcp?
perf-mcp is Fact-check and fix AI outputs. MCP server for hallucination detection, schema validation, and output correction.
How do I install perf-mcp?
Open the GitHub repository and follow its README. Most MCP servers are added to your client's MCP config, then called by your agent.
Is perf-mcp open source?
Yes — it is hosted on GitHub at https://github.com/Perf-Technology/perf-mcp.
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