# Limitless MCP Server

> Use this tool when you need to integrate AI assistants with personal lifelog data, enabling natural language search and retrieval of memories, recordings, and meeting notes. It solves problems of information overload and disorganization by providing AI-generated daily summaries and allowing users to query their personal history. The Limitless MCP Server takes in lifelog data and natural language queries as input, and outputs relevant information and daily summaries within MCP-compatible applications.

Canonical page: https://skillsregistry.net/skills/h3ro-dev-limitless-mcp-server  
JSON: https://api.skillsregistry.net/v1/skills/h3ro-dev-limitless-mcp-server

## Description

Connects AI assistants to personal lifelog data from Limitless AI, enabling users to search and retrieve memories, recordings, and meeting notes. It allows for natural language querying of personal history and provides AI-generated daily summaries within MCP-compatible applications.

## Trust

- **Trust score (0–1):** 0.95
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** search
- **Updated:** 2026-09-19

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/daqijvxuhy)
- **Repository:** <https://github.com/h3ro-dev/limitless-mcp-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": "h3ro-dev-limitless-mcp-server"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/h3ro-dev-limitless-mcp-server` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/h3ro-dev-limitless-mcp-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