MCP server for applying a Claude Shannon-inspired problem-solving pattern
Shannon Thinking becomes available to MCP clients through the shannon thinking mcp server. MCP server for applying a Claude Shannon-inspired problem-solving pattern.
An MCP server demonstrating Claude Shannon's systematic problem-solving methodology. This server provides a tool that helps break down complex problems into structured thoughts following Shannon's approach of problem definition, mathematical modeling, and practical implementation.
Claude Shannon, known as the father of information theory, approached complex problems through a systematic methodology:
Once connected, the assistant can call these 2 tools directly:
Revision — Thoughts can revise earlier steps as understanding evolvesRecheck — Mark steps that need re-examination with new informationSetup follows the standard MCP pattern: clone or install the server, then register it in your client's configuration file and restart the client. The configuration snippets on this page cover Claude Desktop, Claude Code and Cursor.
Knowledge and memory servers address the most frustrating trait of language models — walking into every conversation with no recollection of the last one. Shannon Thinking sits in that group, and the shape of its toolset — Revision, Recheck — tells you what it is really for. Worth comparing against the other knowledge memory servers in this directory before you commit to one, since several overlap in scope but differ sharply in setup cost and permissions.
| Tool | What it does |
|---|---|
| Revision | Thoughts can revise earlier steps as understanding evolves |
| Recheck | Mark steps that need re-examination with new information |
{
"mcpServers": {
"shannon-thinking": {
"command": "npx",
"args": [
"-y",
"server-shannon-thinking@latest"
]
}
}
}Configuration as documented by the project. Restart the client after saving.
A knowledge graph your assistant keeps between sessions — entities, relations and observations that persist.
Kill hallucinated APIs — version-accurate, up-to-date library documentation injected straight into context.
Your workspace, on speaking terms with AI — search, read and write Notion pages and databases.
A structured scratchpad for hard problems — stepwise reasoning with revisions, branches and visible logic.
Symbol-level code navigation, refactoring and memory for coding agents — the IDE brain your assistant has been missing.
Chat with your second brain — search, read and write vault notes through the Local REST API.