# Lspace MCP Server

> Use this tool when you need to capture and persist insights from AI sessions, enabling seamless knowledge sharing across tools. The Lspace MCP Server solves the problem of ephemeral AI session data by transforming it into searchable knowledge, making it accessible for future reference. It accepts AI session inputs and outputs persistent, queryable knowledge, ideal for use cases requiring knowledge retention and reuse.

Canonical page: https://skillsregistry.net/skills/lspace-io-lspace-server  
JSON: https://api.skillsregistry.net/v1/skills/lspace-io-lspace-server

## Description

An open-source server implementing the Model Context Protocol (MCP) that enables capturing insights from AI sessions and transforming them into persistent, searchable knowledge accessible across tools.

## Trust

- **Trust score (0–1):** 0.60
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** search
- **Updated:** 2026-04-22

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/hobrvhrasr)
- **Repository:** <https://github.com/Lspace-io/lspace-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": "lspace-io-lspace-server"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/lspace-io-lspace-server` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/lspace-io-lspace-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