mcp-server-llm-wiki
A generic MCP server that turns a directory of Markdown wiki pages into a network-reachable knowledge base, queryable and updatable by any MCP-compatible client.
README
mcp-server-llm-wiki
A generic, agent-agnostic MCP (Model Context Protocol) server that turns a directory of Markdown wiki pages into a network-reachable knowledge base — queryable and updatable by any MCP-compatible client (Claude, Hermes, or otherwise), not just a Claude Code session with local filesystem access.
The server carries no embedded domain knowledge. It enforces a small universal contract (frontmatter
requirements, an immutable raw/ folder, an append-only log, optimistic-concurrency writes) and leaves
every domain-specific detail — category taxonomy, naming conventions, guidance — to a per-instance
wiki.schema.yaml file that's bootstrapped once via the init_wiki tool. See PLAN.md for
the full design rationale.
This server runs one process per wiki instance — one long-running deployment per wiki you maintain, each bound to its own root directory and its own bearer token. Any number of MCP clients can connect to a given instance concurrently, over HTTP.
Requirements
- Docker (recommended) or Node.js 18+, to run the server itself somewhere reachable over HTTP
- A directory on that host to serve as the wiki root (can be empty —
init_wikiwill bootstrap it)
Install
Docker Compose (recommended)
Both compose files pull the published image (itlostandfound/mcp-server-llm-wiki) from Docker Hub —
no local build, no Node install required. You just need compose.yml (or compose.traefik.yml) and
env.example.txt from this repo (cloning it is the easiest way to get them).
Copy env.example.txt to .env, set WIKI_HOST_ROOT (the host directory to serve), WIKI_MCP_TOKEN
(generate one with openssl rand -hex 32), then:
docker compose up -d
This exposes the server on 3000:3000 directly. If you're putting it behind a domain with TLS via
Traefik, use compose.traefik.yml instead (also set MCP_DOMAIN in .env, and
pre-create the external network with docker network create traefik):
docker compose -f compose.traefik.yml up -d
Both files default to the :latest tag. To pin a specific released version instead, edit the image:
line to e.g. itlostandfound/mcp-server-llm-wiki:0.1.0.
From source
git clone https://github.com/itlostandfound/mcp-server-llm-wiki.git
cd mcp-server-llm-wiki
npm install
npm run build
WIKI_ROOT=/path/to/a/wiki WIKI_MCP_TOKEN=$(openssl rand -hex 32) npm start
Configuration
| Variable | Required | Description |
|---|---|---|
WIKI_ROOT |
Yes | Absolute path to this instance's wiki root directory. May be empty; init_wiki bootstraps it. |
WIKI_MCP_TOKEN |
Yes | Shared secret this instance checks every request against. One per deployment — generate with openssl rand -hex 32. |
PORT |
No | Port the HTTP server listens on. Defaults to 3000. |
The server fails fast at startup with a clear message if WIKI_ROOT or WIKI_MCP_TOKEN is missing.
Every request to /mcp must carry Authorization: Bearer <WIKI_MCP_TOKEN>. A missing or wrong token is
rejected with 401 before any tool runs. Unlike a server that proxies to a separate backend, this token
is not forwarded anywhere — it's checked directly against this instance's own configured secret.
Using it with an MCP client
The server exposes a single endpoint, POST /mcp (Streamable HTTP, stateless — no server-side sessions),
at whatever host/port you deployed it to.
Claude Code
claude mcp add --transport http my-wiki https://your-server-host:3000/mcp --header "Authorization: Bearer <WIKI_MCP_TOKEN>"
Other MCP clients
Any client that supports Streamable HTTP with custom headers works the same way: point it at
https://your-server-host:3000/mcp and set Authorization: Bearer <WIKI_MCP_TOKEN>.
Bootstrapping a new wiki
A fresh WIKI_ROOT has no schema yet. Connect an agent and have a conversation about what the wiki
should cover — category taxonomy, naming conventions, any domain guidance — then have the agent call
init_wiki once with the finalized shape. From then on, get_schema tells any connecting agent (this
one or a different vendor entirely) how the instance is structured.
Tools
| Tool | Description |
|---|---|
init_wiki |
Bootstrap a wiki instance's name, description, category taxonomy, and guidance. Fails if already initialized. |
get_schema |
Read the current instance's schema — call this first in any new session. |
get_recent_log |
Read the most recent entries from the append-only operation log. |
list_pages |
List all pages, optionally filtered to one category. |
read_page |
Read a page's frontmatter, content, and version stamp. |
write_page |
Create or update a page. Updates require expectedVersion from a prior read_page; a stale value is rejected with a conflict. |
append_log |
Append an entry to the log after an ingest/query/lint/edit. Never modifies past entries. |
add_raw_source |
Add UTF-8 text content into raw/. Create-only — raw/ is immutable. Binary files stay out-of-band. |
search |
Full-text search across page titles, tags, and bodies. |
Concurrency model
- Shared files (the log): serialized through an in-process, path-keyed mutex at millisecond scale — invisible to callers, since MCP tool calls are already synchronous request/response.
- Individual pages: optimistic concurrency. Every write to an existing page must include the version stamp from when it was last read; a write against a stale stamp is rejected with the page's current content so the caller can redo its edit and retry. No silent overwrites.
Error handling
- Missing/invalid
Authorizationheader: rejected with401before any tool runs. - Unknown category, bad filename pattern, missing frontmatter fields: rejected with a validation error naming the problem.
- Writing over an existing page without (or with a stale)
expectedVersion: rejected with a conflict error, including the page's current content. - Re-adding an existing raw source filename: rejected —
raw/never overwrites. - Path traversal attempts (
../, absolute paths escaping the wiki root): rejected before any filesystem access.
Development
WIKI_ROOT=./data WIKI_MCP_TOKEN=dev-token npm run dev # run the HTTP server directly from source with tsx
npm run build # compile to dist/
npm run typecheck # type-check without emitting
npm test # run the automated test suite (temp-dir fixtures, no real wiki content involved)
Tests run exclusively against synthetic example schemas invented for testing — never against any real
wiki this project's author maintains, by design (see PLAN.md).
Releasing
Pushing a v* tag triggers .github/workflows/release.yml, which builds and pushes a Docker image to
Docker Hub tagged latest, the version from the tag, and the commit SHA, then creates a GitHub Release
with auto-generated notes. The workflow fails if the tag doesn't match package.json's version field,
so the two can never silently drift apart.
Requires DOCKERHUB_USERNAME and DOCKERHUB_TOKEN secrets configured on this repository (Settings →
Secrets and variables → Actions) — they are not inherited from any other repo.
# 1. Bump the version and commit it
npm version 0.2.0 --no-git-tag-version
git add package.json package-lock.json
git commit -m "Bump version to 0.2.0"
# 2. Tag and push — this is what triggers the release
git tag v0.2.0
git push origin main v0.2.0
License
MIT — see LICENSE.
Recommended Servers
playwright-mcp
A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.
Magic Component Platform (MCP)
An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.
Audiense Insights MCP Server
Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.
VeyraX MCP
Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.
graphlit-mcp-server
The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.
Kagi MCP Server
An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.
E2B
Using MCP to run code via e2b.
Neon Database
MCP server for interacting with Neon Management API and databases
Exa Search
A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.
Qdrant Server
This repository is an example of how to create a MCP server for Qdrant, a vector search engine.