Knowing

v0.4.1Developer Toolsstable

Content-addressed code graph that produces ranked context for AI agents in one call. 22 MCP tools across indexing, blast radius, test scope, semantic diff, runtime traffic, and feedback-aware context packing. Incremental updates via Merkle DAG (no re

knowingmcpai-integration
Share:
0
Stars
0
Downloads
0
Weekly
0/5

What is Knowing?

Knowing is a Model Context Protocol (MCP) server that allows AI assistants like Claude, Cursor, and VS Code to content-addressed code graph that produces ranked context for ai agents in one call. 22 mcp tools across indexing, blast radius, test scope, semantic diff, runtime traffic, and feedback-aware context ...

Content-addressed code graph that produces ranked context for AI agents in one call. 22 MCP tools across indexing, blast radius, test scope, semantic diff, runtime traffic, and feedback-aware context packing. Incremental updates via Merkle DAG (no re

This server falls under the Developer Tools category on MCPgee, the world's largest MCP server directory with 33,000+ servers.

Features

  • Content-addressed code graph that produces ranked context fo

Use Cases

Generate ranked context for AI agents using code graph.
Analyze code blast radius and test scope impacts.
blackwell-systems

Maintainer

LicenseMIT License
Languagetypescript
Versionv0.4.1
UpdatedMay 19, 2026
Statushealthy
Maintenanceactive

Works with

ClaudeOpenAIwindowsmacoslinux

Installation

NPM

npx -y @blackwell-systems/knowing

Manual Installation

npx -y @blackwell-systems/knowing

Configuration

Configuration Details

Config File

claude_desktop_config.json

Performance

Response Metrics

Response Time< 200ms
ThroughputMedium

Resource Usage

Memory UsageLow
CPU UsageLow

Frequently Asked Questions about Knowing

What is Knowing?

Knowing is a Model Context Protocol (MCP) server that content-addressed code graph that produces ranked context for ai agents in one call. 22 mcp tools across indexing, blast radius, test scope, semantic diff, runtime traffic, and feedback-aware context packing. incremental updates via merkle dag (no re It connects AI assistants to external tools and data sources through a standardized interface.

How do I install Knowing?

Install via npm with the command: npx -y @blackwell-systems/knowing. Then add the server configuration to your AI client's JSON config file (e.g., claude_desktop_config.json or .cursor/mcp.json).

Which AI clients work with Knowing?

Knowing works with all major MCP-compatible AI clients including Claude Desktop, Claude Code, Cursor, VS Code (GitHub Copilot), Windsurf, and Cline.

Is Knowing free to use?

Yes, Knowing is open source and available under the MIT License license. You can use it freely in both personal and commercial projects.

Browse More Developer Tools MCP Servers

Explore all developer tools servers available in the MCPgee directory. Each server includes setup guides for Claude, Cursor, and VS Code.

Quick Config Preview

{ "mcpServers": { "knowing": { "command": "npx", "args": ["-y", "@blackwell-systems/knowing"] } } }

Add this to your claude_desktop_config.json or .cursor/mcp.json

Read the full setup guide →

Ready to use Knowing?

Browse our complete directory of 33,000+ MCP servers, read setup guides for your editor, and start building with the Model Context Protocol.

33,000+ ServersFree & Open SourceStep-by-Step Guides