# agent-context-optimizer-mcp

> agent-context-optimizer-mcp — aiagentkarl-agent-context-optimizer-mcp. Use this tool when you need to optimize AI agent performance by resolving context window overload issues. It provides smart tool pruning, relevance scoring, and budget tracking to improve efficiency, solving problems related to information overload and resource allocation. Ideal for use cases where AI agents require streamlined context management to function effectively.

Canonical page: https://skillsregistry.net/skills/aiagentkarl-agent-context-optimizer-mcp  
JSON: https://api.skillsregistry.net/v1/skills/aiagentkarl-agent-context-optimizer-mcp

## Description

MCP Server that solves context window overload — smart tool pruning, relevance scoring, budget tracking for AI agents

## Trust

- **Trust score (0–1):** 1.00
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** ai-ml
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/AiAgentKarl/agent-context-optimizer-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": "aiagentkarl-agent-context-optimizer-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/aiagentkarl-agent-context-optimizer-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/aiagentkarl-agent-context-optimizer-mcp/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