# ContextVault

> Use this tool when you need to manage shared context across multiple AI agents, storing and retrieving relevant information to inform decision-making and improve performance. ContextVault solves problems of data siloing and inconsistency by providing a centralized repository for context entries, accessible through the MCP server or a user-friendly web UI. It is ideal for use cases requiring knowledge sharing and collaboration among AI models, such as multi-agent systems or complex workflows.

Canonical page: https://skillsregistry.net/skills/arsenkylyshbek-context-vault  
JSON: https://api.skillsregistry.net/v1/skills/arsenkylyshbek-context-vault

## Description

Shared context storage for AI agents. Enables any MCP-compatible model to store, read, and search context entries through the MCP server, with a web UI for management.

## Trust

- **Trust score (0–1):** 0.67
- **Verification tier:** scanned
- **Last scanned:** 2026-08-31

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/emlye2f4uf)
- **Repository:** <https://github.com/arsenkylyshbek/context-vault>

## 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": "arsenkylyshbek-context-vault"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/arsenkylyshbek-context-vault` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/arsenkylyshbek-context-vault/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
