# SlimContext MCP Server

> Use this tool when you need to efficiently manage conversation context and reduce token usage in AI chat applications. It solves the problem of token limit exceeded errors by providing token-based trimming and AI-powered summarization strategies. The SlimContext MCP Server takes in chat history as input and outputs a compressed context that fits within token limits, ideal for use in conversational AI models.

Canonical page: https://skillsregistry.net/skills/agentailor-slimcontext-mcp-server  
JSON: https://api.skillsregistry.net/v1/skills/agentailor-slimcontext-mcp-server

## Description

Provides AI chat history compression tools through token-based trimming and AI-powered summarization strategies to manage conversation context within token limits.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-09-02

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-09-02

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/h0tvpxc271)
- **Repository:** <https://github.com/agentailor/slimcontext-mcp-server>

## 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": "agentailor-slimcontext-mcp-server"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/agentailor-slimcontext-mcp-server` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/agentailor-slimcontext-mcp-server/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