# ctxfeed

> ctxfeed — supermarioyl-ctxfeed. Use this tool when you need to analyze large code repositories and overcome file limits, as ctxfeed ingests entire repositories into a massive context window, reducing query costs for coding agents with inputs of repository data and outputs of searchable code contexts. It solves problems of limited file analysis and high query costs, making it ideal for applications with extensive coding requirements. By leveraging ctxfeed, users can efficiently process and query large codebases.

Canonical page: https://skillsregistry.net/skills/supermarioyl-ctxfeed  
JSON: https://api.skillsregistry.net/v1/skills/supermarioyl-ctxfeed

## Description

A local MCP server that ingests entire repositories into a large context window (GLM-5.2 1M tokens) for coding agents, bypassing file limits and reducing query costs.

## Trust

- **Trust score (0–1):** 0.68
- **Verification tier:** scanned
- **Last scanned:** 2026-09-03

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** file-system
- **Updated:** 2026-09-03

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/xsluqtphnc)
- **Repository:** <https://github.com/SuperMarioYL/ctxfeed>

## 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": "supermarioyl-ctxfeed"
    }
  }
}
```

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