An MCP (Model Context Protocol) server that automatically downloads and converts documentation from various sources into organized markdown files.
MCP For Docs MCP server is a locally run integration for AI assistants that speak the Model Context Protocol. An MCP (Model Context Protocol) server that automatically downloads and converts documentation from various sources into organized markdown files.
mcp-for-docs is designed to crawl documentation websites, convert their content to markdown format, and organize them in a structured directory system. It can also generate condensed cheat sheets from the downloaded documentation.
Once MCP For Docs is connected, these are the calls the assistant has available:
Prerequisites — The Prerequisites tool exposed by this serverSetup — 1. Clone the repository: bash git clone https://github.com/shayonpal/mcp-for-docs.git cd mcp-for-docsSetup follows the usual MCP pattern — install or clone the server, register it in your client's configuration file, restart the client.
You will need one environment variable: DOCS_BASE_PATH. Keep credentials in your client's env block or a secrets manager rather than in a file you might commit.
Among the knowledge and memory options, the useful question is rarely "what can it do" but "what does it cost you to run" — permissions, credentials, and how much of your context its toolset consumes. MCP For Docs's toolset — Prerequisites, Setup — is a fair guide to whether it matches your workflow. It is maintained by shayonpal; worth a glance at recent repository activity before you build anything load-bearing on it.
SyncDev reviews every entry in this directory against the project's own documentation before publishing, and revisits them as servers change.
| Tool | What it does |
|---|---|
| Prerequisites | The Prerequisites tool exposed by this server. |
| Setup | 1. Clone the repository: bash git clone https://github.com/shayonpal/mcp-for-docs.git cd mcp-for-docs |
| Variable | Description | Required |
|---|---|---|
| DOCS_BASE_PATH | Filesystem location the server is allowed to use. | Optional |
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.