There is no address to call. This one is a package you install and run yourself, wherever your assistant runs.
agora-mnemo · pypi · 1.24.2
the recordCopied from the official MCP registry, exactly as it holds it.
{
"server": {
"$schema": "https://static.modelcontextprotocol.io/schemas/2025-12-11/server.schema.json",
"name": "io.github.DanceNitra/mnemo",
"description": "Self-correcting agent memory + MCP server: recall, supersede/revert/review corrections, erasure.",
"repository": {
"url": "https://github.com/DanceNitra/mnemo",
"source": "github"
},
"version": "1.24.2",
"websiteUrl": "https://pypi.org/project/agora-mnemo/",
"packages": [
{
"registryType": "pypi",
"identifier": "agora-mnemo",
"version": "1.24.2",
"transport": {
"type": "stdio"
},
"environmentVariables": [
{
"description": "Path to the JSON memory file the server persists to (defaults to ./mnemo_memory.json).",
"format": "string",
"name": "MNEMO_PATH"
},
{
"description": "1 (default) blocks a restated retired value from resurrecting a corrected fact; 0 = legacy keyed supersession.",
"format": "string",
"name": "MNEMO_ECHO_GUARD"
},
{
"description": "Optional OpenAI-compatible /embeddings endpoint for SEMANTIC recall (e.g. http://localhost:11434/v1/embeddings for local Ollama). Unset = deterministic lexical recall.",
"format": "string",
"name": "MNEMO_EMBED_URL"
},
{
"description": "Embedding model id used with MNEMO_EMBED_URL (default: text-embedding-3-small; for Ollama use e.g. nomic-embed-text).",
"format": "string",
"name": "MNEMO_EMBED_MODEL"
}
]
}
]
},
"_meta": {
"io.modelcontextprotocol.registry/official": {
"status": "active",
"statusChangedAt": "2026-07-20T20:33:27.581477Z",
"publishedAt": "2026-07-20T20:33:27.581477Z",
"updatedAt": "2026-07-20T20:33:27.581477Z",
"isLatest": true
}
}
}
Make it installable
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What this is
MCP server
application/mcp-server-record+jsonlocal · you run it yourselfversion 1.24.2last seen 2026-08-23
These are the publisher's own words, filed by them with the official MCP registry and mirrored here. This catalog did not read them from the publisher and has not run, called or installed anything.