# MCP Drift State Tracker

> MCP Drift State Tracker — dcosnet-mcp-drift-state-tracker. Use this tool when you need to monitor and quantify the consistency of large multi-language codebases, detecting issues such as stubs, missing imports, and structural incompleteness. The MCP Drift State Tracker scans codebases and assigns drift scores to measure context erosion, helping to identify areas where language model accuracy may be compromised. It provides a quantitative output of drift scores, taking in multi-language codebases as input, and is ideal for use in maintaining and refining large-scale AI systems.

Canonical page: https://skillsregistry.net/skills/dcosnet-mcp-drift-state-tracker  
JSON: https://api.skillsregistry.net/v1/skills/dcosnet-mcp-drift-state-tracker

## Description

MCP server that scans multi-language codebases to detect stubs, missing imports, and structural incompleteness, assigning drift scores to quantify LLM context erosion.

## Trust

- **Trust score (0–1):** 0.30
- **Verification tier:** unverified
- **Last scanned:** 2026-08-29

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-08-29

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/wwqsu33aoa)
- **Repository:** <https://github.com/dcosnet/MCP-Drift-State-Tracker>

## 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": "dcosnet-mcp-drift-state-tracker"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/dcosnet-mcp-drift-state-tracker` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/dcosnet-mcp-drift-state-tracker/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