# Rememberizer

> Use this tool when you need to enhance AI assistants with context-aware responses or support research tasks by bridging large language models with document management APIs. It solves problems related to document analysis and retrieval, providing flexible search options and semantic similarity queries. The Rememberizer server takes in semantic queries and returns relevant documents, making it ideal for enterprise knowledge management scenarios.

Canonical page: https://skillsregistry.net/skills/skydeckai-rememberizer  
JSON: https://api.skillsregistry.net/v1/skills/skydeckai-rememberizer

## Description

This MCP server, developed by Skydeck AI, provides a bridge between large language models and Rememberizer's document management API. It enables AI assistants to search, retrieve, and manage documents and integrations through semantic similarity queries and LLM agent augmentation. Built in Python, the implementation offers flexible search options, including date filtering and pagination. By connecting AI models with Rememberizer's knowledge base, this server allows AI systems to access and analyze relevant information from various data sources. It is particularly useful for enhancing AI assistants with context-aware responses, supporting research tasks, and enabling more sophisticated document analysis and retrieval in enterprise knowledge management scenarios.

## Trust

- **Trust score (0–1):** 0.64
- **Verification tier:** scanned
- **Last scanned:** 2026-09-02

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-02

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/skydeckai-rememberizer)
- **Repository:** <https://github.com/skydeckai/mcp-server-rememberizer>

## 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": "skydeckai-rememberizer"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/skydeckai-rememberizer` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/skydeckai-rememberizer/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