# Typesense

> Use this tool when you need to integrate powerful search functionality into AI workflows, enabling capabilities like collection management, document indexing, and keyword and vector searches. It solves problems related to information retrieval and semantic search, providing a bridge between AI assistants and the Typesense search engine. The tool accepts environment variables as inputs and outputs search results, making it ideal for developers seeking to enhance their AI applications with robust search operations.

Canonical page: https://skillsregistry.net/skills/avarant-typesense  
JSON: https://api.skillsregistry.net/v1/skills/avarant-typesense

## Description

Typesense MCP Server provides a bridge between AI assistants and Typesense search engine through a Python implementation using the Model Context Protocol. The server exposes tools for managing collections, documents, and search operations, including vector similarity search capabilities. Built with robust error handling and comprehensive logging, it enables AI assistants to perform operations like creating collections, indexing documents, and executing both keyword and vector searches. The implementation uses environment variables for configuration and can be easily deployed through Cursor, making it valuable for developers who want to integrate powerful search functionality into their AI workflows.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** devops-ci
- **Updated:** 2026-05-04

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/avarant-typesense)
- **Repository:** <https://github.com/avarant/typesense-mcp-server>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "avarant-typesense"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/avarant-typesense` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/avarant-typesense/pull`

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