llm-wiki-mcp
An MCP server that provides AI agents with a governed wiki requiring human approval before any formal page update, combining structured knowledge management with safe, auditable writes.
README
llm-wiki-mcp
An MCP server that gives your AI agents a governed wiki instead of unrestricted filesystem access. It sits between "full power" and "read-only" by requiring human approval before any formal wiki page gets updated.
Design philosophy draws from Karpathy's LLM Wiki methodology: compile knowledge into a reusable wiki during ingest/maintenance, rather than re-synthesizing from raw sources on every query. Astro-Han/karpathy-llm-wiki and multica-ai/andrej-karpathy-skills served as engineering references.
The project started by hand-crafting ~/llm-wiki to validate the workflow, then abstracting it into an MCP server — the tool design comes from real usage, not theory.
Why this exists
When you use an AI agent to build a knowledge base, it can read and write pages. Without constraints:
- It overwrites pages you spent time curating.
- Files end up scattered across directories with no consistent structure.
- It updates
index.mdwithout recording what changed. - There's no audit trail of who changed what and why.
This server forces every write to go through a candidate review cycle. The agent proposes changes, you review and approve them, and only then does the wiki update.
What it does
- Candidate-first writes — formal pages, index updates, and public exports are proposals. Nothing gets written until you call
apply_candidate. - Immutable raw sources —
raw/files can only be created, never overwritten. Your source material stays intact. - Path safety — all operations stay within
wiki_root. Parent-traversal attempts are rejected at the path layer. - Structured linting —
run_lintreturns parsed results (errors, warnings, suggestions) as data, not a process exit code that breaks the MCP transport. - Change log — every mutation is logged with action, impact, and verification, with configurable retention.
- Search that tells you what to do next — formal pages and raw sources are ranked separately. Scope-aware search returns a
next_actionhint (read_pagevsread_raw_source). - Frontmatter validation — unknown fields, empty directory lists, and invalid retention values are caught before they reach your wiki.
Workflow

New / revised source added
↓
compile_page or create_update_candidate
↓
Review Candidate bundle (page, index, public-draft, log, source-manifest)
↓
apply_candidate after explicit approval
↓
run_lint
Agents return persisted Candidate bundles first. You (or your agent's human-in-the-loop) review the full change set before anything touches the formal wiki.
Quick Start
git clone https://github.com/jaronlu/llm-wiki-mcp.git
cd llm-wiki-mcp
uv sync --dev
cp config/examples.config.yaml config/config.yaml
uv run llm-wiki-mcp
Edit config/config.yaml for your machine. Keep it local and untracked.
wiki_root: ~/llm-wiki
allow_write_raw: false
allow_write_formal: false
allow_update_index: false
allow_modify_schema: false
log_retention_entries: 120
formal_dirs: [domains, entities]
raw_dirs: [raw]
workshop_dirs: [workshop]
non_formal_dirs: [drafts, reading]
workshop_dirs enables project packages whose root README.md is a formal
entity page and whose raw/ subtree contains project evidence:
llm-wiki/
├── workshop/
│ ├── agentic-rag-securities/
│ │ ├── README.md
│ │ └── raw/
│ └── wiki-mcp/
│ ├── README.md
│ └── raw/
├── domains/
├── entities/
└── raw/
MCP tools
| Tool | What it does |
|---|---|
init_wiki |
Creates or completes a wiki root with scaffolding |
inspect_wiki |
Checks if a directory is a valid wiki and reports status |
search_wiki |
Scope-aware search across formal pages and raw sources |
read_page |
Reads a formal page with parsed frontmatter and link analysis |
read_raw_source |
Reads raw source files (immutable view) |
create_raw_source |
Creates a new raw source (create-only, no overwrite) |
append_log |
Appends a structured change-log entry |
compile_page |
Builds a candidate formal page from raw sources |
create_update_candidate |
Builds a candidate index update |
apply_candidate |
Applies a previously-reviewed candidate bundle |
run_lint |
Runs structured lint checks and returns parsed results |
knowledge_health_review |
Reviews wiki health (coverage, orphans, stale pages) |
write_public_draft |
Creates a public-facing draft (candidate-first) |
validate_public_safety |
Checks that public exports don't leak sensitive content |
Mutation tools are conservative by default. Raw writes require allow_write_raw: true; applying candidates requires allow_write_formal: true.
Configuration
Config loading order:
- Built-in defaults.
- Project-local
config/config.yaml, when present.
The server intentionally ignores MCP host config path environment variables and root override environment variables, so the runtime source of truth stays in the repository-local config file.
Config validation rejects unknown top-level fields, nested directory names, empty directory lists, and non-positive log_retention_entries values.
Safety boundaries
- All paths must resolve under
wiki_root. init_wikicreates or completeswiki_rootby default when no explicitrootargument is provided.raw/writes are create-only and never overwrite existing files.- Formal page writes require
allow_write_formal: true;index.mdupdates, migrations, and public exports are candidate-first. .llm-wiki/source-manifest.jsontracks raw source digests without modifying page frontmatter.run_lintreturns structured lint data instead of treating lint failures as MCP transport failures.
MCP Host Config
[mcp_servers.llm_wiki]
command = "uv"
args = ["--directory", "/path/to/llm-wiki-mcp", "run", "llm-wiki-mcp"]
startup_timeout_sec = 120
The server always reads configuration from <repo>/config/config.yaml; no MCP host environment variable is needed.
Development
uv run ruff check .
uv run pytest
Contributing
See CONTRIBUTING.md for development setup and design rules.
License
MIT — see LICENSE.
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