Discover Top MCP Servers - Improve Your AI Workflows

One-Stop MCP Server & Client Integration - 121,231 Services Listed

By Rating
By Downloads
By Time
Filter

Found a total of 12 results related to

C
Cognee
Cognee is an open - source project that provides memory functions for AI agents. It builds a dynamic knowledge graph through a modular ECL pipeline, supports multiple data sources and formats, reduces hallucinations, and lowers costs.
Jupyter Notebook
20.2K
5 points
M
Memory Bank Loader MCP
An MCP server for batch - reading memory bank files, which reduces the frequency of AI tool calls and saves time and costs by loading all files in the directory at once.
TypeScript
9.2K
2.5 points
R
Ragstack Lambda
RAGStack-Lambda is a serverless AI document and media processing platform based on AWS Lambda. It supports uploading documents, images, videos, and audio, builds a knowledge base through OCR, transcription, and vectorization technologies, and provides an AI chat function with source traceability. It adopts a pay-as-you-go architecture with zero idle costs.
TypeScript
5.4K
2.5 points
G
Gemini Bridge
Gemini Bridge is a lightweight MCP server that connects AI programming assistants to Google Gemini AI through the official CLI, supporting multi - client interaction without API costs.
Python
0
2.5 points
C
Codex Bridge
Codex Bridge is a lightweight MCP server that connects AI programming assistants with OpenAI Codex through the official CLI, supporting multi - client interaction without API costs.
Python
0
2.5 points
C
Context Engineering MCP
The Context Engineering MCP Platform is an AI context management and optimization platform that designs, manages, and optimizes the input information of AI models through a systematic approach, realizing the engineering of prompt engineering. The platform provides functions such as intelligent analysis engines, optimization algorithms, and template management, significantly improving AI response quality, reducing API costs, and supporting multimodal content processing.
Python
8.6K
2.5 points
U
Ultimate MCP Server
The Ultimate MCP Server is an AI agent operating system based on the Model Context Protocol (MCP), offering dozens of powerful tool capabilities, including cognitive enhancement, tool usage, and intelligent orchestration. The system exposes functions through standardized MCP tools, enabling advanced AI agents to access a rich tool ecosystem and specialized services while optimizing costs, performance, and quality.
Python
9.7K
2.5 points
T
Toon MCP
The TOON MCP server is a model context protocol server for TOON encoding. It converts structured data into a token - optimized representation through a compact data format, which can reduce LLM token usage by 50 - 70%, thereby significantly reducing AI call costs.
JavaScript
7.0K
2.5 points
P
Polydev
Polydev is a multi - model AI programming assistant that simultaneously calls multiple cutting - edge AI models such as GPT - 5, Claude, Gemini, and Grok through a single MCP server, providing a comprehensive perspective for developers' programming agents. It supports one - click installation and can be integrated into mainstream IDEs such as Claude Code and Cursor, significantly improving the code problem resolution rate and reducing costs.
TypeScript
5.3K
2 points
S
Swiss Health MCP
The first Swiss health insurance MCP server, providing structured access to over 1.6 million pieces of premium data from 55 insurance companies between 2016 and 2026, enabling AI assistants to accurately query and compare Swiss medical insurance costs.
TypeScript
8.7K
2 points
U
Uniauto MCP Server
The UniAuto MCP Server is a general test automation server integrated with AI capabilities, featuring a multi-layer self-healing mechanism, visual intelligence, and cross-platform support. It can significantly reduce test maintenance costs and improve test resilience.
JavaScript
9.1K
2 points
R
Rlm Tools
RLM Tools is an MCP server tool that provides a persistent sandbox environment for AI programming agents, allowing code exploration and analysis on the server side and only returning the conclusions to the model, significantly reducing context window usage and costs.
Python
6.7K
2 points
AIBase
Zhiqi Future, Your AI Solution Think Tank
© 2026AIBase