Backstory: search your data exports locally
v1.1.0
io.github.magna-nz/backstory
Search your Google, Telegram, Spotify and Instagram exports locally. Fully offline.
io.github.infino-ai/mcp-server · v0.1.1
Keyword, vector, hybrid, and SQL retrieval over data on object storage, for AI agents.
mcp-server 是一个MCP Server,收录自 官方 MCP Registry。支持 stdio 传输。本页提供 Cursor、Claude Code 等客户端的安装配置片段。
选择你的平台查看安装方式
{
"mcpServers": {
"mcp-server": {
"command": "npx",
"args": [
"-y",
"@infino-ai/mcp-server"
]
}
}
}INFINO_MCP_URI可选Data to serve: a local path or an s3://|gs://|az:// bucket URI. Optional — defaults to an ephemeral in-process memory:// catalog if unset.
INFINO_MCP_ENABLE_WRITES可选Set (1/true/yes) to expose add/update/delete tools and allow DDL/DML through SQL. Read-only when unset.
INFINO_MCP_EMBED_MODEL可选Hugging Face feature-extraction model for local embedding (default Xenova/all-MiniLM-L6-v2, 384-dim).
INFINO_MCP_S3_ENDPOINT可选Custom S3 endpoint for non-AWS S3-compatible stores (Cloudflare R2, MinIO, Backblaze B2).
INFINO_MCP_S3_REGION可选Region sent with a custom S3 endpoint (default 'auto').
v1.1.0
io.github.magna-nz/backstory
Search your Google, Telegram, Spotify and Instagram exports locally. Fully offline.
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{
"id": "io.github.infino-ai/mcp-server",
"type": "mcp-server",
"version": "0.1.1",
"displayName": "mcp-server",
"description": "Keyword, vector, hybrid, and SQL retrieval over data on object storage, for AI agents.",
"repository": {
"url": "https://github.com/infino-ai/infino-mcp",
"source": "github"
},
"distribution": {
"packages": [
{
"registryType": "npm",
"identifier": "@infino-ai/mcp-server",
"version": "0.1.1",
"transport": "stdio",
"environmentVariables": [
{
"name": "INFINO_MCP_URI",
"description": "Data to serve: a local path or an s3://|gs://|az:// bucket URI. Optional — defaults to an ephemeral in-process memory:// catalog if unset."
},
{
"name": "INFINO_MCP_ENABLE_WRITES",
"description": "Set (1/true/yes) to expose add/update/delete tools and allow DDL/DML through SQL. Read-only when unset."
},
{
"name": "INFINO_MCP_EMBED_MODEL",
"description": "Hugging Face feature-extraction model for local embedding (default Xenova/all-MiniLM-L6-v2, 384-dim)."
},
{
"name": "INFINO_MCP_S3_ENDPOINT",
"description": "Custom S3 endpoint for non-AWS S3-compatible stores (Cloudflare R2, MinIO, Backblaze B2)."
},
{
"name": "INFINO_MCP_S3_REGION",
"description": "Region sent with a custom S3 endpoint (default 'auto')."
}
]
}
],
"remotes": []
},
"dependencies": [],
"installTargets": [
"claude-code",
"claude-desktop",
"cursor",
"vscode"
],
"keywords": [],
"provenance": {
"origin": "official-mcp-registry",
"originalId": "io.github.infino-ai/mcp-server",
"originalUrl": "https://registry.modelcontextprotocol.io/v0.1/servers/io.github.infino-ai%2Fmcp-server/versions/latest",
"isOfficial": true,
"status": "active"
}
}