# Budget-Aware Code Memory

> Use this tool when you need to efficiently retrieve relevant code snippets within a limited token budget, solving problems of code discovery and dependency analysis across 155 programming languages. It takes in a query and token budget as input, returning the most structurally relevant code snippets as output. Ideal for use cases where fast and accurate code retrieval is crucial, such as in integrated development environments or code recommendation systems.

Canonical page: https://skillsregistry.net/skills/doorman11991-budget-aware  
JSON: https://api.skillsregistry.net/v1/skills/doorman11991-budget-aware

## Description

This server provides token-budgeted code retrieval by walking outward through code dependency graphs and returning the most structurally relevant code until the token budget is exhausted. It supports 155 languages via CodeGraphContext, delivers 0.07ms average query latency, and includes 22 tools for indexing, retrieval, discovery, and context analysis. Available as the npm package budget-aware-mcp.

## Trust

- **Trust score (0–1):** 0.62
- **Verification tier:** scanned
- **Last scanned:** 2026-09-01

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-09-01

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/doorman11991-budget-aware)
- **Repository:** <https://github.com/doorman11991/budget-aware-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": "doorman11991-budget-aware"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/doorman11991-budget-aware` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/doorman11991-budget-aware/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