Jilebi is an MCP server implementation that enables AI assistants to interact with external systems through a modular plugin architecture. It
Jilebi is an MCP server implementation that enables AI assistants to interact with external systems through a modular plugin architecture. It provides a
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{
"mcpServers": {
"jilebi": {
"command": "jilebi",
"args": [
"stdio"
],
"env": {}
}
}
}From the project documentation. Replace placeholders and example paths before connecting.
Read, search and edit files inside allowed directories with the Model Context Protocol reference Filesystem server.
Retrieve version-aware library documentation and code examples with Context7 MCP, using resolve-library-id and query-docs.
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This was a fun project to explore what an AI would do with the ability to give itself prompts, ignore user requests, and wake itself up at a later
Serves coding agents one canonical doc per query instead of rereading the repo — ~60% fewer tokens.