MCP.Market

LLM Wiki MCP server

by flsteven87·io.github.flsteven87/llm-wiki-mcp·v0.1.1·1 stars

MCP server for Karpathy-style LLM wikis: persistent markdown your agent grows over time.

B82/100grade B
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Safety scan
B82/100

full report

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1 stars46 downloads/wk

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If you have run it, two minutes of your experience saves the next person an afternoon.

LLM Wiki tools (4, 1 write)

write = sends, deletes, buys or posts

Read from the package source without running it. The installed server may list more.

  • wiki_inventory

    Return the full wiki graph in one call — pages, links, log, mentions.

  • wiki_log_append

    Append one entry to `log.md` in Karpathy's locked line format.

  • wiki_read

    Read one wiki page — frontmatter, body, outgoing links, and etag.

  • wiki_write_pagewrite action

    Atomically create or update one wiki page. Returns the new etag.

Public scan report

scanner v0.1.9 · 2026-09-27 · same rubric, same numbers if you re-run it

no findings
  • Code scan16 source files scanned25/25
  • –Live reliabilityno gateway calls yet and no remote to proben/a
  • –Tool poisoningtools not inspected (local package is not executed); not countedn/a
  • Auth qualitylocal package, no credentials required12/15
  • Maintenancelast push 172 days ago8/15
  • Maintainer identityregistry namespace matches repository owner; GitHub account older than a year8/10
Overall 82/100. Components that don't apply are left out of the denominator. Any critical finding is an F.RubricAppeal a findingJSON

How LLM Wiki compares

Against every graded AI and agents MCP server, from our own scans and uptime checks. Updated after each scan run.

Safety score
82/100
higher than 65% of 4,460 AI and agents servers
Tools
4
the typical AI and agents server has 6
Tools that change things
25%
typical: 0%. Fewer write tools means less an agent can break
GitHub stars
1
more than 50% of 2,711 AI and agents servers
Downloads a week
46
more than 38% of 1,538 AI and agents servers with a package

What its tools let an agent do: 3 read · 1 change

Install LLM Wiki in Claude Code, Cursor or VS Code

claude mcp add llm-wiki-mcp -- uvx llm-wiki-mcp
Add to Cursor

What the publisher says

From the LLM Wiki repository's README, as published. We do not edit it. Read it on GitHub

llm-wiki-mcp

Persistent markdown wiki for your AI agent, built on Karpathy's LLM wiki gist. Four MCP tools (wikiread, wikiwritepage, wikilogappend, wikiinventory) plus four Claude Code skills (wiki-init, wiki-ingest, wiki-query, wiki-lint). stdio transport, local filesystem.

The server handles the boring layer LLMs keep getting wrong: atomic writes, etag conflict checks, append-only log integrity, path containment. The skills give the agent a workflow to follow. The wiki schema lives in your own wiki/CLAUDE.md and grows with your domain. There is no Layer 3 schema validation in the server.

Status: alpha (v0.1.1). Local backend only. MIT licensed.

Quick start

Requires Python 3.11+ and uv.

Pick an absolute path for the wiki folder. The server creates pages/ and log.md under it on first run if they don't exist:

uvx llm-wiki-mcp --wiki-root /absolute/path/to/wiki

Wire it into your MCP client.

Claude Code:

claude mcp add llm-wiki -- uvx llm-wiki-mcp --wiki-root /absolute/path/to/wiki

Claude Desktop (~/Library/Application Support/Claude/claudedesktopconfig.json on macOS) or Cursor (~/.cursor/mcp.json):

{
  "mcpServers": {
    "llm-wiki": {
      "command": "uvx",
      "args": ["llm-wiki-mcp", "--wiki-root", "/absolute/path/to/wiki"]
    }
  }
}

Restart the client. Four tools should appear: wikiread, wikiwritepage, wikilogappend, wikiinventory.

Claude Code skills

Claude Code users can install the bundled workflow skills as a plugin:

claude plugin marketplace add https://github.com/flsteven87/llm-wiki-mcp
claude plugin install llm-wiki-skills@llm-wiki-mcp

Each skill reads wiki/CLAUDE.md for the active schema on every run, so you can evolve the schema without re-installing anything. Ask the agent things like:

wiki-init is a one-shot scaffolder; the other three are Karpathy's three operations.

Other MCP clients (Claude Desktop, Cursor) get the four tools but not the skills. The agent has to derive the workflow from tool descriptions alone, which works for one-off reads and writes but tends to skip the bookkeeping (log entries, backlink audits) the skills make explicit.

The four tools

index.md and raw/ are intentionally not exposed as tools. The index is LLM-curated content edited via the host's Read/Write. The raw layer is immutable from the server's perspective.

Wiki layout

wiki-init scaffolds a project that looks like this:

your-project/
├── raw/                    Immutable source files (papers, articles, transcripts)
│   └── ...
└── wiki/                   ← --wiki-root points here
    ├── pages/              Markdown pages, one per topic
    ├── log.md              Append-only session log
    ├── index.md            LLM-curated browse page
    └── CLAUDE.md           Schema doc the LLM reads on every operation

Shortened. The full README is on GitHub.

Nothing above is checked by us. What we check is on the safety report.

LLM Wiki: common questions

Is LLM Wiki MCP server safe?
Mostly: it is graded B (82/100). Read the LLM Wiki safety report
How do I install LLM Wiki?
It runs on your machine. Copy the Claude Code, Cursor, VS Code or Claude Desktop config from the install section.
Does LLM Wiki need an API key?
Not as far as the registry entry and our scan can tell: no credentials are declared or required.
Is LLM Wiki maintained?
The last commit was 210 days ago (2026-04-08). The latest release is v0.1.1.
What can I use instead of LLM Wiki?
Servers from other publishers that do the same job: agent-device MCP server, Basic Memory MCP server and Pm Claude Skills MCP server.
How does LLM Wiki compare with other AI and agents MCP servers?
safety score 82/100 (higher than 65% of 4,460 AI and agents servers); tools 4 (the typical AI and agents server has 6); tools that change things 25% (typical: 0%. Fewer write tools means less an agent can break). Full comparison.

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