# Chisel Knowledge MCP

> Use this tool when you need to organize and manage large amounts of information from various sources, such as text, URLs, or clipboard content, into structured knowledge bases. It solves problems of information overload and disorganization by providing a searchable and configurable workspace with separate inboxes and directories. Ideal for use when you require a centralized platform to ingest, categorize, and retrieve knowledge, with support for multiple workspaces and customizable settings.

Canonical page: https://skillsregistry.net/skills/teknologika-chisel-knowledge-mcp  
JSON: https://api.skillsregistry.net/v1/skills/teknologika-chisel-knowledge-mcp

## Description

Enables building and managing knowledge workspaces with tools for ingesting content from text, clipboard, or URLs and searching organized knowledge bases. Supports multiple configurable workspaces with separate inbox and knowledge directories for structured information management.

## Trust

- **Trust score (0–1):** 0.68
- **Verification tier:** scanned
- **Last scanned:** 2026-09-02

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/un8tj2mvoe)
- **Repository:** <https://github.com/teknologika/chisel-knowledge-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": "teknologika-chisel-knowledge-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/teknologika-chisel-knowledge-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/teknologika-chisel-knowledge-mcp/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