# PeakInfer MCP Server

> Use this tool when you need to optimize inference performance by detecting code and runtime behavior discrepancies. It solves problems related to performance drift and provides optimization templates by comparing against benchmarks. The PeakInfer MCP Server takes in code and runtime data as inputs and outputs optimization recommendations to improve inference performance.

Canonical page: https://skillsregistry.net/skills/kalmantic-peakinfer-mcp  
JSON: https://api.skillsregistry.net/v1/skills/kalmantic-peakinfer-mcp

## Description

MCP server for achieving peak inference performance by detecting drift between code and runtime behavior, comparing against benchmarks, and providing optimization templates.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-08-31

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-08-31

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/pze3in08vl)
- **Repository:** <https://github.com/Kalmantic/peakinfer-mcp>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "kalmantic-peakinfer-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/kalmantic-peakinfer-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/kalmantic-peakinfer-mcp/pull`

---
SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt