# budget-aware-mcp

> Use this tool when you need to efficiently query and retrieve code memory for AI agents with strict latency and budget requirements. The budget-aware-mcp server solves problems of slow query performance and excessive resource usage, providing sub-millisecond queries and token budgeting. It is ideal for applications requiring fast, deterministic, and budget-conscious code retrieval, with a simple interface for inputting queries and retrieving relevant code memory outputs.

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

## Description

Model-agnostic code memory MCP server using budget-aware graph retrieval for AI agents, providing sub-millisecond queries, token budgeting, and deterministic results without embeddings or vector databases.

## Trust

- **Trust score (0–1):** 0.60
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** database
- **Updated:** 2026-05-18

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/oa8gcnbigm)
- **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-mcp"
    }
  }
}
```

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