# ContextKeeper MCP Server

> Use this tool when you need to manage and update contextual information in a conversational AI system. The ContextKeeper MCP Server enables AI assistants to read and modify context items through natural language commands, solving problems related to information retention and retrieval in dialogue flows. It accepts natural language inputs and outputs updated context items, making it ideal for use cases that require dynamic context management in conversational interfaces.

Canonical page: https://skillsregistry.net/skills/ondrahracek-contextkeeper-mcp  
JSON: https://api.skillsregistry.net/v1/skills/ondrahracek-contextkeeper-mcp

## Description

MCP server for ContextKeeper that enables AI assistants to read and modify context items through natural language commands.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-08-31

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-08-31

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/tfx1udg7x3)
- **Repository:** <https://github.com/ondrahracek/contextkeeper-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": "ondrahracek-contextkeeper-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/ondrahracek-contextkeeper-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/ondrahracek-contextkeeper-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