# io.github.alex-feel/mcp-context-server

> Use this tool when you need to manage persistent multimodal context for Large Language Model (LLM) agents, solving issues of contextual understanding and knowledge retention. It provides a server-based storage solution, accepting input from LLM agents and outputting relevant context information to enhance their performance. Ideal for use cases requiring continuous learning and adaptive responses in multimodal environments.

Canonical page: https://skillsregistry.net/skills/io-github-alex-feel-mcp-context-server  
JSON: https://api.skillsregistry.net/v1/skills/io-github-alex-feel-mcp-context-server

## Description

An MCP server that provides persistent multimodal context storage for LLM agents.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** unverified

## Facts

- **Version:** 0.1.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-05-21

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/io.github.alex-feel%2Fmcp-context-server)
- **Repository:** <https://github.com/alex-feel/mcp-context-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": "io-github-alex-feel-mcp-context-server"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/io-github-alex-feel-mcp-context-server` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/io-github-alex-feel-mcp-context-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