Synthadoc

A CLI engine that compiles documents into a local structured wiki: a transparent alternative to plain RAG, reachable by an agent over MCP

CLI

Medium risk

We rate an entry medium when the tool runs code, makes network calls or reads project files. Check what exactly it does before installing.

Why this level

  • The engine reads your documents and writes wiki files
  • It runs a local server and may use a local model
All reasons and checks

axoviq-ai/synthadoc

Install

In your terminal, with SkillFoxx CLI

npx skillfoxx add cli/synthadoc

Detects the agents on your machine, checks the risk and pins the version.

Other ways to install

Install the tool

pipx install synthadoc

Without pipx, pip install synthadoc works too.

You will need: pipx

Checked against the repository on Sep 25, 2026, commit d8fd4ba.

Text for your agent

Install the engine: pip install synthadoc, compile the wiki with CLI commands, then connect it to the agent: claude mcp add --transport sse synthadoc-my-wiki http://127.0.0.1:7070/mcp/sse.

Other ways from the author
pip install synthadoc

After install, compile wikis with the synthadoc CLI commands.

This is third-party code. Review the repository files before installing.

What it does

Synthadoc takes source documents and compiles them into a structured wiki in human-readable markdown files on your machine. Unlike plain RAG the result is transparent: pages can be opened and read directly, not only queried through vectors. The engine installs as a pip package and is driven by CLI commands, with a plugin system for ready knowledge sets. A compiled wiki can be exposed to an agent over MCP through a local address so it can search and answer from it.

Who it is for. For analysts, technical writers and developers who need a transparent knowledge base from their own documents.

Good fit when

  • You need to compile a structured wiki from a document set
  • You want a transparent RAG alternative with readable pages
  • You need to give an agent local access to the knowledge base over MCP

Not a fit when

  • You need a hosted knowledge-base service without local setup
  • You have few documents and need no structure

Example request

Compile these documents into a structured wiki and connect it to the agent for answers

Limitations

Synthadoc is a local engine: it must be installed via pip and run on your side, and compilation may need dependency setup and a local model. The AGPL-3.0 license imposes conditions on distribution. MCP access works through a local server you must keep running.

How to disable. Remove the package with pip uninstall synthadoc and delete the compiled wiki directories and the MCP server entry from your client config.

Security check

  • The engine reads your documents and writes wiki files
  • It runs a local server and may use a local model

README in short

The README describes Synthadoc as an open-source engine that compiles documents into a structured local wiki as readable markdown files. It is a transparent alternative to plain RAG that can be maintained and improved by hand. The engine installs via pip, is driven by a CLI, supports knowledge-set plugins and exposes the wiki to an agent over MCP through a local address. It has an Obsidian plugin. AGPL-3.0 licensed.

FAQ

How is this different from plain RAG?

The result is readable markdown pages you can open and check, not only a hidden vector index.

How does the agent access the wiki?

Through a local MCP server on a loopback address that you keep running.

Editors’ pick

166 skills for scientific work: bioinformatics, cheminformatics, clinical data, geospatial analysis and 100+ databases

SkillMedium risk47KRepository stars
Official

Google's open-source MCP server for databases: ready tools for Postgres, MySQL, BigQuery, Spanner and more, plus custom tools in tools.yaml

MCP serverHigh risk16.5KRepository stars
Editors’ pick

Official Hugging Face skills: Hub operations via the hf CLI, datasets, model training, Spaces, evals and deployment

SkillHigh risk11.1KRepository stars
Official

A visualization language for agents and an MCP server: neat charts from a simple semantic spec

MCP serverMedium riskNo VPN needed4.3KRepository stars
Foxx AISynthadoc

I am Foxx AI and I have already vetted this tool. Ask about install, setup or anything else, and I will keep it simple.