typesense-mcp-server
MCP server for Typesense
Install / Use
claude mcp add avarant -- npx -y github:avarant/typesense-mcp-serverIf the server publishes to npm under a different name, use that package instead — check the repo README.
MCP Server
Model Context Protocol server
Quality Score
Category
Development & EngineeringSupported Platforms
Our assessment of typesense-mcp-server
typesense-mcp-server scores 69/100 on our quality scale, 3860th of 4,645 Development & Engineering skills we index.
Its MCP Server is 4.3 KB long, well organised into 12 sections with 6 code examples: a solid amount of guidance for an agent.
It has 10 GitHub stars, so there is little community track record yet; judge it on its content.
Maintenance, license and trust
- The repository was last updated about 3 months ago, so typesense-mcp-server is actively maintained.
- Our last check on 2026-10-21 found the source still online.
- It is released under the MIT license, a permissive license that allows use, modification and commercial use with attribution.
- Its trust signals score 92/100, with 1 caution from licensing, adoption, age or documentation. These come from repository metadata, not a code audit — read the skill file before letting an agent act on it.
Safety scan
No issues foundOur scan of the whole file found no instruction hijacking, hidden characters, credential access, data exfiltration or destructive commands. An AI review of the same text found nothing harmful.
AI review by kimi-k2.7-code on 2026-09-24. Automated pattern scan on 2026-09-24. It catches known dangerous patterns, not every risk — read a skill before letting an agent act on it.
typesense-mcp-server compared with similar skills
All 4 of these similar skills score higher than typesense-mcp-server; compare them before choosing.
| Skill | Score | Stars | Updated | Format |
|---|---|---|---|---|
| typesense-mcp-server (this skill)by avarant | 69 | 10 | 3mo ago | MCP Server |
| taste-skillby Leonxlnx | 100 | 111.4k | 2d ago | CLAUDE.md |
| Agent-Reachby Panniantong | 100 | 109.8k | 1d ago | CLAUDE.md |
| headroomby headroomlabs-ai | 100 | 79.1k | today | CLAUDE.md |
| ai-job-searchby ai-job-search-dev | 100 | 70.2k | 2d ago | CLAUDE.md |
Frequently asked questions
- How do I install typesense-mcp-server?
- Run
claude mcp add avarant -- npx -y github:avarant/typesense-mcp-server. The install tabs above show the steps for each supported agent. - Which AI agents does typesense-mcp-server work with?
- It is written for Claude Code and Claude Desktop, as a MCP Server file. Other agents that read the same format can often use it too.
- Is typesense-mcp-server safe to use?
- Our scan of the whole file found no instruction hijacking, hidden characters, credential access, data exfiltration or destructive commands. An AI review of the same text found nothing harmful. It is MIT-licensed and scores 92/100 on trust signals. Skills are instructions an agent will follow, so read the file before installing it and do not approve commands you do not understand.
- Is typesense-mcp-server still maintained?
- The repository was last updated about 3 months ago, so typesense-mcp-server is actively maintained.
Skill content
View source on GitHubTypesense MCP Server
A Model Context Protocol (MCP) Server that interfaces with Typesense
Installation
Install uv
On Mac you can install it using homebrew
brew install uv
Clone the package
git clone git@github.com: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
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Languages
Trust signals
From repository metadata: license, adoption, age and documentation. Not a code audit — see the Safety scan above for what the skill file itself contains.
