A Model Context Protocol server to dump your codebase into your LLM model
If you already use Codebase Context Dumper, the codebase context dumper mcp server is the piece that lets your assistant work with it directly. A Model Context Protocol server to dump your codebase into your LLM model.
A Model Context Protocol (MCP) server designed to easily dump your codebase context into Large Language Models (LLMs).
Setup follows the usual MCP pattern — install or clone the server, register it in your client's configuration file, restart the client. The configuration blocks on this page cover the common clients.
Plenty of AI and media services 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. It is maintained by lex-tools; 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We check each listing at SyncDev against the project's documentation before it goes live — if something here drifts out of date, it is a bug worth reporting.
{
"mcpServers": {
"codebase-context-dumper": {
"command": "npx",
"args": [
"-y",
"@lex-tools/codebase-context-dumper"
]
}
}
}Configuration as documented by the project. Restart the client after saving.
Build a programmable telecommunications stack for connecting telephony services with the Internet via a cloud-based utility.
Search built for AI, not humans — semantic web search that returns model-ready content, plus code context.
Answers, not links — delegate questions to Perplexity's search-grounded models and get cited responses back.
Give your assistant a voice — text-to-speech, voice cloning and audio tools from the ElevenLabs API.
Give your assistant a real code sandbox — isolated cloud VMs for actually running the code it writes.
The ML hub in your context window — search models, datasets, papers and run Spaces from the official server.