LLDB MCP server
If you already use LLDB, the lldb mcp server is the piece that lets your assistant work with it directly. LLDB MCP server.
See it in acton here, automatically debugging a buffer overflow: https://x.com/full_duplex/status/1904770477698277847
LLDB-MCP is a tool that integrates the LLDB debugger with Claude's Model Context Protocol (MCP). This integration allows Claude to start, control, and interact with LLDB debugging sessions directly, enabling AI-assisted debugging workflows.
mcp on PyPI is all you need. Most clients run it directly, so configuration is a few lines and a restart.
The toolset is worth reading before you wire it up, because it tells you what the integration is really for:
Inspection — The Inspection tool exposed by this serverMiscellaneous — The Miscellaneous tool exposed by this serverPlenty of knowledge and memory 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. LLDB's toolset — Inspection, Miscellaneous — is a fair guide to whether it matches your workflow. It is maintained by stass; 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We check each listing at SyncDev against the project's documentation before it goes live — if something here drifts out of date, it is a bug worth reporting.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 |
|---|---|
| Inspection | The Inspection tool exposed by this server. |
| Miscellaneous | The Miscellaneous tool exposed by this server. |
{
"mcpServers": {
"lldb": {
"command": "uvx",
"args": ["mcp"]
}
}
}Add to claude_desktop_config.json, then restart Claude Desktop.
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.