MCP Typesense Server
M

MCP Typesense Server

An MCP server implementation that provides Typesense search capabilities for AI models
2.5 points
10.6K

What is the Typesense MCP Server?

The Typesense MCP Server is a server that implements the Model Context Protocol (MCP). It allows AI models to access data stored in Typesense through the Typesense search engine. It can list collections, search documents, and analyze collection structures.

How to use the Typesense MCP Server?

You can use it by installing the server and specifying its address in the configuration file. Then, you can use the provided tools such as `typesense_query` and `typesense_get_document` to perform search and document retrieval operations.

Use cases

The Typesense MCP Server is very useful when you need to enhance the data retrieval capabilities of AI models, for example, when dealing with large amounts of unstructured text data.

Main features

Collection listing and access
Access Typesense collections via the `typesense://` URI to view collection names, descriptions, and the number of documents.
Query tools
Provide powerful query capabilities, including search, filtering, and sorting options.
Document retrieval
Retrieve specific documents by ID.
Collection statistics
Get statistical data about Typesense collections.
Advantages
Enhance the data retrieval capabilities of AI models.
Support multiple search and filtering options.
Easy to integrate into existing systems.
Limitations
May require a certain technical background for initial setup.
Performance optimization for large datasets needs further testing.

How to use

Install the Typesense MCP Server
Global installation: `npm install -g typesense-mcp-server`; Local installation: `npm install typesense-mcp-server`.
Start the server
Ensure the server is correctly configured and running.

Usage examples

Example 1: Search for documents
Use the `typesense_query` tool to search for relevant documents.
Example 2: Retrieve a document
Use the `typesense_get_document` tool to retrieve a specific document.

Frequently asked questions

How to install the Typesense MCP Server?
How to start the server?
Does it support queries in multiple languages?

Related resources

GitHub repository
Source code and documentation for the Typesense MCP Server.
YouTube demo video
Watch a demo of the Typesense MCP Server.

Installation

Copy the following command to your Client for configuration
Note: Your key is sensitive information, do not share it with anyone.

Alternatives

A
Airweave
Airweave is an open - source context retrieval layer for AI agents and RAG systems. It connects and synchronizes data from various applications, tools, and databases, and provides relevant, real - time, multi - source contextual information to AI agents through a unified search interface.
Python
16.2K
5 points
V
Vestige
Vestige is an AI memory engine based on cognitive science. By implementing 29 neuroscience modules such as prediction error gating, FSRS - 6 spaced repetition, and memory dreaming, it provides long - term memory capabilities for AI. It includes a 3D visualization dashboard and 21 MCP tools, runs completely locally, and does not require the cloud.
Rust
10.5K
4.5 points
M
Moltbrain
MoltBrain is a long-term memory layer plugin designed for OpenClaw, MoltBook, and Claude Code, capable of automatically learning and recalling project context, providing intelligent search, observation recording, analysis statistics, and persistent storage functions.
TypeScript
10.1K
4.5 points
B
Bm.md
A feature-rich Markdown typesetting tool that supports multiple style themes and platform adaptation, providing real-time editing preview, image export, and API integration capabilities
TypeScript
14.8K
5 points
S
Security Detections MCP
Security Detections MCP is a server based on the Model Context Protocol that allows LLMs to query a unified security detection rule database covering Sigma, Splunk ESCU, Elastic, and KQL formats. The latest version 3.0 is upgraded to an autonomous detection engineering platform that can automatically extract TTPs from threat intelligence, analyze coverage gaps, generate SIEM-native format detection rules, run tests, and verify. The project includes over 71 tools, 11 pre-built workflow prompts, and a knowledge graph system, supporting multiple SIEM platforms.
TypeScript
6.7K
4 points
P
Paperbanana
Python
8.9K
5 points
B
Better Icons
An MCP server and CLI tool that provides search and retrieval of over 200,000 icons, supports more than 150 icon libraries, and helps AI assistants and developers quickly obtain and use icons.
TypeScript
9.7K
4.5 points
A
Assistant Ui
assistant - ui is an open - source TypeScript/React library for quickly building production - grade AI chat interfaces, providing composable UI components, streaming responses, accessibility, etc., and supporting multiple AI backends and models.
TypeScript
10.0K
5 points
M
Markdownify MCP
Markdownify is a multi-functional file conversion service that supports converting multiple formats such as PDFs, images, audio, and web page content into Markdown format.
TypeScript
39.1K
5 points
N
Notion Api MCP
Certified
A Python-based MCP Server that provides advanced to-do list management and content organization functions through the Notion API, enabling seamless integration between AI models and Notion.
Python
24.8K
4.5 points
D
Duckduckgo MCP Server
Certified
The DuckDuckGo Search MCP Server provides web search and content scraping services for LLMs such as Claude.
Python
81.4K
4.3 points
G
Gitlab MCP Server
Certified
The GitLab MCP server is a project based on the Model Context Protocol that provides a comprehensive toolset for interacting with GitLab accounts, including code review, merge request management, CI/CD configuration, and other functions.
TypeScript
28.4K
4.3 points
U
Unity
Certified
UnityMCP is a Unity editor plugin that implements the Model Context Protocol (MCP), providing seamless integration between Unity and AI assistants, including real - time state monitoring, remote command execution, and log functions.
C#
38.4K
5 points
F
Figma Context MCP
Framelink Figma MCP Server is a server that provides access to Figma design data for AI programming tools (such as Cursor). By simplifying the Figma API response, it helps AI more accurately achieve one - click conversion from design to code.
TypeScript
70.5K
4.5 points
G
Gmail MCP Server
A Gmail automatic authentication MCP server designed for Claude Desktop, supporting Gmail management through natural language interaction, including complete functions such as sending emails, label management, and batch operations.
TypeScript
24.9K
4.5 points
M
Minimax MCP Server
The MiniMax Model Context Protocol (MCP) is an official server that supports interaction with powerful text-to-speech, video/image generation APIs, and is suitable for various client tools such as Claude Desktop and Cursor.
Python
55.3K
4.8 points
AIBase
Zhiqi Future, Your AI Solution Think Tank
© 2026AIBase