About Typesense MCP Server
Typesense MCP Server exposes Typesense operations to MCP clients. It covers collection and document management alongside keyword and vector search, and supports STDIO, SSE, and Streamable HTTP transports.
Key features
- 01Check server health and list collections
- 02Create, inspect, export, and remove collections
- 03Create, update, import, and delete documents
- 04Run keyword and vector searches
- 05Use STDIO, SSE, or Streamable HTTP
Use cases
- 01Inspect and manage Typesense collections
- 02Import or update indexed documents
- 03Search collection contents by text or vectors
MCP support
Exposes Typesense health, collection, document, and search tools to MCP clients. Supports STDIO, SSE, and Streamable HTTP transports.
Configuration
Local server config is the same for every client. Copy it into your client’s MCP config file.
We haven’t collected a package or remote endpoint for this server. Follow the instructions in the project README.
Tools
Local servers expose tools only once running on your machine, and the maintainer has not provided a tool list.
Details
From the project READMETypesense MCP Server
A Model Context Protocol (MCP) Server that interfaces with Typesense
Installation
Install uv
Requires Python 3.11 or higher.
On Mac you can install it using homebrew
brew install uv
Clone the package
git clone [email protected]:avarant/typesense-mcp-server.git ~/typesense-mcp-server
Add the server to your MCP client config. Most clients (Cursor at ~/.cursor/mcp.json, Claude Desktop at ~/Library/Application Support/Claude/claude_desktop_config.json, Windsurf, Zed, VS Code, etc.) accept the same mcpServers shape:
{
"mcpServers": {
"typesense": {
"command": "uv",
"args": ["--directory", "~/typesense-mcp-server", "run", "mcp", "run", "main.py"],
"env": {
"TYPESENSE_HOST": "",
"TYPESENSE_PORT": "",
"TYPESENSE_PROTOCOL": "",
"TYPESENSE_API_KEY": ""
}
}
}
}
Refer to your client's MCP documentation for the exact config file location.
Transports
The server supports three MCP transports. STDIO is the default and is what most desktop clients (Claude Desktop, Cursor, etc.) use. For remote clients or web UIs, you can run it as an HTTP server using either the legacy SSE transport or the newer Streamable HTTP transport.
STDIO (default)
TYPESENSE_API_KEY=xyz uv run python main.py
Streamable HTTP (recommended for web clients)
Single endpoint at /mcp. Works with browser-based clients like the llama.cpp web chat. Set MCP_TRANSPORT=streamable-http (or pass --http):
TYPESENSE_API_KEY=xyz \
MCP_TRANSPORT=streamable-http \
MCP_STATELESS_HTTP=true \
MCP_CORS_ORIGINS='*' \
uv run python main.py
- Stateless mode (
MCP_STATELESS_HTTP=true) is required for clients that don't keep an MCP session across requests. - CORS must be enabled (
MCP_CORS_ORIGINS) for browser clients. Use a specific origin likehttp://localhost:8080in production rather than*.
SSE (legacy)
Two endpoints, GET /sse for the event stream and POST /messages/ for JSON-RPC. Set MCP_TRANSPORT=sse (or pass --sse):
TYPESENSE_API_KEY=xyz MCP_TRANSPORT=sse uv run python main.py
Configuration
| Env var | Default | Description |
|---|---|---|
MCP_TRANSPORT | stdio | stdio, sse, or streamable-http |
MCP_HOST | 0.0.0.0 | Bind address for HTTP transports |
MCP_PORT | 8000 | Bind port for HTTP transports |
MCP_STATELESS_HTTP | false | Stateless mode for HTTP transports (required for some web clients) |
MCP_CORS_ORIGINS | (empty) | Comma-separated allowed origins. Empty disables CORS. * = any. |
Available Tools
The Typesense MCP Server provides the following tools:
Server Management
check_typesense_health- Checks the health status of the configured Typesense serverlist_collections- Retrieves a list of all collections in the Typesense server
Collection Management
describe_collection- Retrieves the schema and metadata for a specific collectionexport_collection- Exports all documents from a specific collectioncreate_collection- Creates a new collection with the provided schemadelete_collection- Deletes a specific collectiontruncate_collection- Truncates a collection by deleting all documents but keeping the schema
Document Operations
create_document- Creates a single new document in a specific collectionupsert_document- Upserts (creates or updates) a single document in a specific collectionindex_multiple_documents- Indexes (creates, upserts, or updates) multiple documents in a batchdelete_document- Deletes a single document by its ID from a specific collectionimport_documents_from_csv- Imports documents from CSV data into a collection
Search Capabilities
search- Performs a keyword search on a specific collectionvector_search- Performs a vector similarity search on a specific collection
Comments
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