MCP Typesense Server
An MCP server implementation that provides Typesense search capabilities for AI models
rating : 2.5 points
downloads : 16
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 accessAccess Typesense collections via the `typesense://` URI to view collection names, descriptions, and the number of documents.
Query toolsProvide powerful query capabilities, including search, filtering, and sorting options.
Document retrievalRetrieve specific documents by ID.
Collection statisticsGet statistical data about Typesense collections.
Advantages and limitations
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 documentsUse the `typesense_query` tool to search for relevant documents.
Example 2: Retrieve a documentUse 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.
Featured MCP Services

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
1.7K
5 points

Duckduckgo MCP Server
Certified
The DuckDuckGo Search MCP Server provides web search and content scraping services for LLMs such as Claude.
Python
823
4.3 points

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
79
4.3 points

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
130
4.5 points

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#
554
5 points

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
6.6K
4.5 points

Context7
Context7 MCP is a service that provides real-time, version-specific documentation and code examples for AI programming assistants. It is directly integrated into prompts through the Model Context Protocol to solve the problem of LLMs using outdated information.
TypeScript
5.2K
4.7 points

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
745
4.8 points