@sprigr/mcp-server

MCP server for AI agents with WASM-powered local full-text search and hybrid semantic search.

Full-text searches run locally via WebAssembly (~5ms). Hybrid semantic search combines keyword matching with vector embeddings for higher relevance. Writes go to the Sprigr API. The binary index auto-refreshes when your data changes.

Quick Start

Add to your AI client config (Claude Desktop, Cursor, Windsurf, etc.):

{
  "mcpServers": {
    "sprigr": {
      "command": "npx",
      "args": ["-y", "@sprigr/mcp-server"],
      "env": {
        "SPRIGR_API_KEY": "your-api-key"
      }
    }
  }
}

Don't have an API key? Ask your AI agent to use the signup tool, or visit sprigr.com.

Environment Variables

Variable	Required	Default	Description
`SPRIGR_API_KEY`	Yes	—	Your Sprigr API key
`SPRIGR_API_BASE`	No	`https://app.sprigr.com`	API base URL

How It Works

AI Agent ──stdio──> @sprigr/mcp-server (local Node.js)
                         │
                         ├── search        → Local WASM engine (~5ms)
                         ├── import/delete → Sprigr API → invalidate local cache
                         └── On change    → re-download binary index → reload WASM

Searches run entirely in-process via a compiled WASM search engine, with optional hybrid semantic search for improved relevance
Writes (import, delete, create index, update settings) go to the Sprigr API
After any write, the local binary index is automatically refreshed on the next search
Cache version checks are throttled (5s TTL) to avoid unnecessary API calls

Available Tools

Tool	Description
`signup`	Create a Sprigr account and get an API key
`list_indexes`	List all indexes in your account
`create_index`	Create a search index with searchable attributes and facets
`update_settings`	Update index settings (searchable attributes, facets, synonyms)
`import_objects`	Upsert JSON objects into an index (max 1000/call, same objectID = replace)
`search`	Full-text search with filters, facets, pagination, and field selection
`multi_search`	Search across multiple indexes in one call
`get_object`	Fetch a single object by ID
`export_objects`	Export all objects from an index as JSON (paginated)
`get_stats`	Get account statistics
`delete_objects`	Delete objects by ID (max 1000/call)
`delete_index`	Permanently delete an entire index
`clear_index`	Remove all objects but keep index settings
`set_alias`	Point an alias name at an index (for zero-downtime reindexing)
`delete_alias`	Remove an alias
`list_aliases`	List all index aliases

Requirements

Node.js 18+

License

MIT