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MCPHub

Embeddable Model Context Protocol (MCP) solution for AI services. Seamlessly integrate MCP servers with OpenAI Agents, LangChain, and Autogen frameworks through a unified interface. Simplifies configu

Qdrant DevContainer for File Embeddings

Esp Mcp

This is just a proof-of-concept of MCP. As I see it, there is much that can be done to make it more useful with embedded devices, home assistants, or documentation. If you have any ideas, we can discu

Rust Docs MCP Server

🦀 Prevents outdated Rust code suggestions from AI assistants. This MCP server fetches current crate docs, uses embeddings/LLMs, and provides accurate context via a tool call.

VectorCode

A code repository indexing tool to supercharge your LLM experience.

Fluent MCP

python package for creating MCP servers with embedded LLM reasoning

RuleGo

⛓️RuleGo is a lightweight, high-performance, embedded, next-generation component orchestration rule engine framework for Go.

eShopLite 🛒

eShopLite is a set of reference .NET applications implementing an eCommerce site with features like Semantic Search, MCP, Reasoning models and more.

Official Substack / Medium MCP Server

The tool connects to your Substack/Medium blogs via their RSS feeds, fetches your posts, and permanently caches them locally. It also generates embeddings for each post, enabling semantic search to fi

eShopLite

eShopLite is a set of reference .NET applications implementing an eCommerce site with features like Semantic Search, MCP, Reasoning models and more.

Brain Server - MCP Knowledge Embedding Service

Mcp Memory Bank

A powerful, production-ready context management system for Large Language Models (LLMs). Built with ChromaDB and modern embedding technologies, it provides persistent, project-specific memory capabili

Embedding MCP Server

Build a knowledge base into a tar.gz and give it to this MCP server, and it is ready to serve.

Embedding MCP Server

Mirror of

memory-mcp-server

A long-term memory storage system for LLMs using the Model Context Protocol (MCP) standard. This system helps LLMs remember the context of work done over the entire history of a project, even across m

🚀 MCP Server for Document Processing

This MCP server lets AI assistants access and search your private documents, codebases, and latest tech info. It processes Markdown, text, and PDFs into a searchable database, extending AI knowledge b

Coder DB - AI Memory Enhancement System

An intelligent code memory system that leverages vector embeddings, structured databases, and knowledge graphs to store, retrieve, and analyze code patterns with semantic search capabilities, quality

RWKV7-G1

RWKV开源发布了 RWKV7-G1 1.5B 推理模型（Reasoning Model）。模型基于 World v3.5 数据集训练，包含更多小说、网页、数学、代码和 reasoning 数据，总数据为 5.16T tokens。其具备其它同尺寸模型不具备的推理能力和任务能力，同时还支持现实世界 100+ 种语言。 在实际测试中，RWKV7-G1 1.5B 模型的推理逻辑性较强，能够完成有难度的

微语

企业 IM、在线客服、企业知识库 / 帮助文档、客户之声、工单系统、AI 对话、工作流、项目管理。 Docker 快速开始 方法一：克隆项目并启动docker compose容器，需要另行安装ollama，默认使用 qwen3:0.6b 模型 git clone https://gitee.com/270580156/weiyu.git && cd weiyu/deplo

V-JEPA 2

Meta 又有新的动作，推出基于视频训练的世界模型 V-JEPA 2（全称 Video Joint Embedding Predictive Architecture 2）。其能够实现最先进的环境理解与预测能力，并在新环境中完成零样本规划与机器人控制。 Meta 表示，他们在追求高级机器智能（AMI）的目标过程中，关键在于开发出能像人类一样认知世界、规划陌生任务执行方案，并高效适应不断变化环境的