Discover Top MCP Servers - Improve Your AI Workflows
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Found a total of 9 results related to

Supermemory
Supermemory is an AI-driven memory engine designed to provide contextual knowledge for LLMs by integrating personal data, enabling intelligent management and retrieval of information.
TypeScript
21.9K
5 points

Wolframalpha Llm MCP
An MCP server that provides access to the WolframAlpha LLM API, supporting natural language queries for questions in multiple fields such as math and science
TypeScript
6.1K
2.5 points

MCP Wolframalpha
This project implements an MCP server for interacting with the Wolfram Alpha API, enabling chat applications to perform calculation queries and obtain structured knowledge. It includes an MCP client example based on Gemini, demonstrating how to connect a large - language model to the MCP server for real - time interaction with the Wolfram Alpha knowledge engine.
Python
5.2K
2.5 points

Bocha Search
Bocha is a search engine designed specifically for AI, providing high-quality world knowledge retrieval services.
Python
7.6K
2.5 points

Qiita MCP Server
An MCP server for interacting with the engineer knowledge - sharing platform Qiita, providing standard tools for creating, reading, and updating Qiita articles.
TypeScript
14.4K
2.5 points

Mts MCP
This project provides a series of MCP servers and dedicated AI agents to extend Claude's capabilities, including package management, knowledge graphs, reasoning engines, and integration capabilities with multiple platforms.
TypeScript
7.7K
2 points

Dpo2u MCP
The DPO2U MCP Platform is a hybrid AI compliance engine that combines local data processing with cloud - based legal knowledge, providing 17 tools to achieve 100% data localization processing and advanced compliance automation.
TypeScript
4.7K
2 points

Topoteretes Cognee MCP Server
An MCP server for the AI Memory Engine Cognee, supporting the construction of knowledge graphs from text and searching.
Python
8.2K
2 points

Maxkb
MaxKB is an open-source AI assistant designed specifically for enterprises. It supports the RAG process, workflow engine, and multimodal interaction, and is suitable for scenarios such as intelligent customer service and knowledge bases.
Python
25.3K
0 points