Generate file tree and file contents for coding assistance with LLMs.
Context MCP server is a locally run integration for AI assistants that speak the Model Context Protocol. Generate file tree and file contents for coding assistance with LLMs.
This opens the configuration file located at ~/.generate_context_config.json in your default editor. Adjust the settings as needed.
Once Context is connected, these are the calls the assistant has available:
Prerequisites — The Prerequisites tool exposed by this serverExample — The Example tool exposed by this serverThe server ships on PyPI as context-generator, so your MCP client can launch it on demand — there is no separate build step. Add the server block to your client's configuration, restart it, and the tools register themselves.
Plenty of file and storage access servers cover similar ground. The differences that matter in practice are scope of access and how much setup stands between you and a working tool call. Context's toolset — Prerequisites, Example — is a fair guide to whether it matches your workflow. It is maintained by Alastair Grant; worth a glance at recent repository activity before you build anything load-bearing on it.
We check each listing at SyncDev against the project's documentation before it goes live — if something here drifts out of date, it is a bug worth reporting.
| Tool | What it does |
|---|---|
| Prerequisites | The Prerequisites tool exposed by this server. |
| Example | The Example tool exposed by this server. |
{
"mcpServers": {
"context-generator": {
"command": "uvx",
"args": ["context-generator"]
}
}
}Add to claude_desktop_config.json, then restart Claude Desktop.
Scoped local file access — read, write, search and reorganise files in directories you explicitly allow.
Search and read your Drive — Docs, Sheets and files become context your assistant can actually use.
Query, modify and analyse local SQLite databases in conversation — the fastest way to chat with a data file.
Build a programmable telecommunications stack for connecting telephony services with the Internet via a cloud-based utility.
Chat with your second brain — search, read and write vault notes through the Local REST API.
Connects AI models to an Obsidian knowledge base for direct access and manipulation of notes and folders.