perf-mcp
OfficialREADME.md
# 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:
```json
{
"mcpServers": {
"perf": {
"command": "npx",
"args": ["-y", "perf-mcp"],
"env": {
"PERF_API_KEY": "pk_live_xxx"
}
}
}
}
```
Get your API key at [dashboard.withperf.pro](https://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`:
```json
{
"mcpServers": {
"perf": {
"command": "npx",
"args": ["-y", "perf-mcp"],
"env": {
"PERF_API_KEY": "pk_live_xxx"
}
}
}
}
```
### Cursor
Settings → MCP → Add Server:
```json
{
"mcpServers": {
"perf": {
"command": "npx",
"args": ["-y", "perf-mcp"],
"env": {
"PERF_API_KEY": "pk_live_xxx"
}
}
}
}
```
### Windsurf
Add to `~/.codeium/windsurf/mcp_config.json`:
```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](https://dashboard.withperf.pro).
## License
MIT
TDQS
A4.2/5.0
Scored across 4 tools
Disambiguation3/5
Tools are generally distinct but perf_correct overlaps with both perf_validate and perf_verify by covering schema violations and hallucinations, creating ambiguity. Descriptions suggest using perf_correct when unsure, which implies overlap.
Naming Consistency5/5
All tools follow a 'perf_' prefix with a clear single verb (chat, correct, validate, verify), providing a predictable and consistent naming pattern.
Tool Count5/5
Four tools is well-scoped for the server's purpose of optimizing and correcting LLM outputs, covering essential operations without bloat.
Completeness4/5
The set covers routing, general correction, schema validation, and hallucination verification. Minor gaps like explicit error logging or feedback are present, but core workflows are addressed.
Maintenance
ActivityInactive
ResponsivenessNo issues