# mcp-context-manager

> mcp-context-manager — princeruhulofficial-mcp-context-manager. Use this tool when you need to efficiently manage AI agent conversation context, reducing token costs and improving focus. The mcp-context-manager provides core functionality for scoring, compressing, and pruning context, accepting conversation data as input and outputting optimized context for improved agent performance. Ideal for use in applications where conversation context needs to be streamlined, such as chatbots or virtual assistants.

Canonical page: https://skillsregistry.net/skills/princeruhulofficial-mcp-context-manager  
JSON: https://api.skillsregistry.net/v1/skills/princeruhulofficial-mcp-context-manager

## Description

This MCP server provides tools to manage, score, compress, and prune AI agent conversation context, helping keep agents focused and reduce token costs. It is a free, local, pure Python solution for any MCP client.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-08-29

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-08-29

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/w1oh9ucmcd)
- **Repository:** <https://github.com/princeruhulofficial/mcp-context-manager>

## 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": "princeruhulofficial-mcp-context-manager"
    }
  }
}
```

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