# ReClass.NET

> Use this tool when you need to integrate ReClass.NET with MCP clients for AI-assisted reverse engineering workflows. It connects the memory analysis tool to MCP clients through a dual-component architecture, enabling features like memory reading/writing and process inspection. This integration is ideal for use cases requiring dynamic class/structure creation and module enumeration within ReClass.NET projects.

Canonical page: https://skillsregistry.net/skills/nateweav-reclass-net  
JSON: https://api.skillsregistry.net/v1/skills/nateweav-reclass-net

## Description

Connects ReClass.NET memory analysis tool to MCP clients through a dual-component architecture: a C# plugin running inside ReClass.NET exposes functionality via TCP, paired with a Python MCP server that translates between MCP protocol and the plugin's JSON-RPC interface. Enables AI-assisted reverse engineering workflows with tools for memory reading/writing, process inspection, module enumeration, and dynamic class/structure creation within ReClass.NET projects.

## Trust

- **Trust score (0–1):** 0.99
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-09-28

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/nateweav-reclass-net)
- **Repository:** <https://github.com/nateweav/reclass.net-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": "nateweav-reclass-net"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/nateweav-reclass-net` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/nateweav-reclass-net/pull`

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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