# Readwise

> Use this tool when you need to access and manipulate your Readwise content programmatically, solving problems such as retrieving specific highlights or documents for research, content creation, or knowledge management. It takes a Readwise API key as input and provides outputs such as filtered highlights and document lists. Use it within AI conversations to leverage your reading data and streamline workflows.

Canonical page: https://skillsregistry.net/skills/kiseki-labs-readwise  
JSON: https://api.skillsregistry.net/v1/skills/kiseki-labs-readwise

## Description

Kiseki-Labs-Readwise-MCP is a server that enables language models to access and manipulate Readwise content programmatically. Built by Kiseki Labs, this implementation provides tools for finding documents by name, listing documents by category or date range, and retrieving highlights with filtering capabilities by document ID, date range, or tags. The server requires a Readwise API key for authentication and is designed to help users leverage their reading data within AI conversations, making it particularly valuable for research, content creation, and knowledge management workflows.

## Trust

- **Trust score (0–1):** 0.65
- **Verification tier:** scanned
- **Last scanned:** 2026-09-02

## Facts

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

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/kiseki-labs-readwise)
- **Repository:** <https://github.com/kiseki-technologies/kiseki-labs-readwise-mcp>

## 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": "kiseki-labs-readwise"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/kiseki-labs-readwise` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/kiseki-labs-readwise/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