Magpie Search runs on your own machine — the client starts it, so there is no endpoint to ping. 99 installs a week from pypi. Last commit 10 Sep 2026.
Federated local-first search across transcripts, files, KG, vectors and the web for AI agents.
We read the source, 2 d ago · rules 995398eba69f
What this server is able to do. For an MCP server this is often the job itself — a terminal server runs commands because that is what it is for. Listed so you know what you are plugging in, not as an accusation.
r = subprocess.run([str(vmrun), "list"], capture_output=True, text=True, timeout=30, env=safe_env())
Is this your server and something here is wrong? Tell us — corrections are free and do not require a plan.
We found places where it runs commands, builds paths or queries from values it is given. None of that is a flaw by itself — it becomes one when the code changes, and code changes quietly between releases. We re-read it on every one.
This server runs on your own machine — install it with the package manager and the client starts it for you. Package name taken from the official registry entry.
claude mcp add magpie-search -- uvx magpie-search
{
"mcpServers": {
"magpie-search": {
"command": "uvx",
"args": [
"magpie-search"
]
}
}
}
[mcp_servers.magpie-search]
command = "uvx"
args = ["magpie-search"]
{
"mcpServers": {
"magpie-search": {
"command": "uvx",
"args": [
"magpie-search"
]
}
}
}
{
"servers": {
"magpie-search": {
"type": "stdio",
"command": "uvx",
"args": [
"magpie-search"
]
}
}
}
Markdown-first long-term memory for AI agents. Hybrid BM25 + vector search, runs locally.
Persistent memory for AI coding agents. Local-first SQLite + vector search. 17 MCP tools.
Shared memory + orchestration for your coding agents. Local-first MCP, vector RAG.
Astra DB tools for agents: schema, find, vector search, guarded writes, and interactive views.
Local-first AI memory layer with hybrid search. Postgres + pgvector. Self-hosted, MIT.
Rip YouTube transcripts to disk for AI agents, RAG pipelines, and LLM workflows.
Graph + vector memory for agents: recall, ingest, search, distill. Local or remote backend.
LLM-ready web search + instant answers + URL-to-clean-text fetch for agents and RAG.
Answers built from our own checks of this server.