Chisel Knowledge MCP
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@Chisel Knowledge MCPsearch second-brain for machine learning resources"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
chisel-knowledge-mcp
Standalone MCP server and library for building and managing knowledge workspaces.
Canonical behavior documentation lives in docs/chisel-knowledge-mcp.md.
Requirements
Node.js 22 or newer
npm
Install
npm installLibrary usage
Import the workspace service and related types directly from the package root:
import { WorkspaceService, KnowledgeIndex } from '@teknologika/chisel-knowledge-mcp';The MCP server remains available from the server subpath and through the published binary.
Build
npm run buildType check
npx tsc --noEmitConfig
The server reads workspace configuration from:
~/.chisel/config.json
If the file does not exist, the server starts with zero configured workspaces and logs a warning to stderr. See config.example.json for the expected shape.
Claude Desktop
Use this MCP server with Claude Desktop by adding:
{
"mcpServers": {
"chisel-knowledge": {
"command": "npx",
"args": ["-y", "@teknologika/chisel-knowledge-mcp"]
}
}
}Notes
Transport is stdio only.
Logging goes to stderr so stdout stays reserved for MCP protocol messages.
The binary is
chisel-knowledge-mcp.The package root exports the library surface;
@teknologika/chisel-knowledge-mcp/serverresolves to the MCP server entry point.
Resources
Unclaimed servers have limited discoverability.
Looking for Admin?
If you are the server author, to access and configure the admin panel.
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curl -X GET 'https://glama.ai/api/mcp/v1/servers/teknologika/chisel-knowledge-mcp'
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