Massive Context MCP runs on your own machine — the client starts it, so there is no endpoint to ping. 124 installs a week from pypi. Last commit 19 Jan 2026.
Handles 10M+ token contexts with chunking, sub-queries, and local Ollama inference.
What the code does
We read the source, 18 h ago · rules 3dff92dd89df
A value the model can set ends up inside a file or shell call. That is not a flaw by itself — for a terminal server it is the job — but it is where things go wrong when it is not.
install_proc = subprocess.run(
Is this your server and something here is wrong? Tell us — corrections are free and do not require a plan.
A tool parameter here reaches a dangerous call
That is not a flaw by itself — but it is where things go wrong when it is not the job. We re-read this code on every release. Watch it and you hear from us the day another one appears.
Connect this server
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 massive-context-mcp -- uvx massive-context-mcp{
"mcpServers": {
"massive-context-mcp": {
"args": [
"massive-context-mcp"
],
"command": "uvx"
}
}
}[mcp_servers.massive-context-mcp]
command = "uvx"
args = ["massive-context-mcp"]{
"mcpServers": {
"massive-context-mcp": {
"args": [
"massive-context-mcp"
],
"command": "uvx"
}
}
}{
"mcpServers": {
"massive-context-mcp": {
"args": [
"massive-context-mcp"
],
"command": "uvx"
}
}
}This one needs environment variables set before it will start:
RLM_DATA_DIR (Directory for storing context data), OLLAMA_URL (URL for Ollama server (default: http://localhost:11434)).
The author declared them in the registry entry; get the values from the project itself.
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Massive Context MCP — questions
Answers built from our own checks of this server.