# MCP Session Saver

> Use this tool when you need to organize and manage AI conversation records across multiple IDEs, saving time and improving productivity by effortlessly searching and retrieving past conversations. It takes in AI conversation records as input and outputs organized Markdown files, automatically categorizing them by IDE name, date, and description. Ideal for developers and users who require efficient storage and easy retrieval of conversation history.

Canonical page: https://skillsregistry.net/skills/oscar-wang-xin-mcp-session-saver  
JSON: https://api.skillsregistry.net/v1/skills/oscar-wang-xin-mcp-session-saver

## Description

An MCP server that enables users to save, search, and manage AI conversation records as organized Markdown files across various IDEs. It automatically categorizes sessions by IDE name, date, and description for efficient storage and easy retrieval.

## Trust

- **Trust score (0–1):** 0.74
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** search
- **Updated:** 2026-09-28

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/n950qz87st)
- **Repository:** <https://github.com/oscar-wang-xin/mcp-session-saver>

## 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": "oscar-wang-xin-mcp-session-saver"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/oscar-wang-xin-mcp-session-saver` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/oscar-wang-xin-mcp-session-saver/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