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OpenStreetMap MCP Server

OpenStreetMap MCP Server Implementation

IoTDB MCP Server for Tree Model

iotdb-mcp-server for tree model

MCP Server (Mortgage Comparison Platform)

Canonical MCP server for parsing Loan Estimate (LE) and Closing Disclosure (CD) PDFs into MISMO-compliant JSON with LLM-enriched context. Built for AI-driven mortgage automation, compliance, and decis

Mcp Server Mas Sequential Thinking

mcp-server-mas-sequential-thinking is a project focused on improving decision-making processes in multi-agent systems. It implements sequential reasoning techniques to enhance collaboration and effici

Multi-Model Advisor

council of models for decision

Baidu AI Search

Baidu AI Search combines Baidu Search Engine with LLM modesl to find best response for your query. Check detail at https://github.com/baidubce/app-builder/tree/master/python/mcp_server/ai_search and

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

Filesystem MCP Server

A Model Context Protocol (MCP) server for platform-agnostic file capabilities, including advanced search/replace and directory tree traversal

OpenStreetMap (OSM) MCP Server

An OpenStreetMap MCP server implementation that enhances LLM capabilities with location-based services and geospatial data.

OpenStreetMap MCP Server

Being-M0

Being-M0 基于业界首个百万级动作数据集 MotionLib，用创新的 MotionBook 编码技术，将动作序列转化为二维图像进行高效表示和生成。Being-M0 验证了大数据+大模型在动作生成领域的技术可行性，显著提升动作生成的多样性和语义对齐精度，实现从人体动作到多款人形机器人的高效迁移，为通用动作智能奠定基础。 Being-M0的主要功能 文本驱动动作生成：根据输入的自然语言

OpenMemory MCP

OpenMemory MCP 是mem0推出的基于开放模型上下文协议（MCP）构建的开源工具，能解决 AI 工具记忆痛点，实现不同工具间共享上下文信息。OpenMemory MCP支持 100% 本地运行，数据存储在用户本地设备上，确保隐私和安全。OpenMemory MCP 具备跨平台支持、标准化内存操作、集中式仪表板等优势，广泛用在软件开发、项目管理、错误跟踪等场景，帮助用户提升工作效率，让

VarDrug

1. VarDrug 引入了一个机器学习框架，用于预测基因变异如何影响药物反应，重点关注精神类药物。它使用来自 PharmGKB 的数据来解决变异体-药物相互作用问题，并比基于规则的方法取得了显著的性能提升。 2. 其核心是一个自监督变异编码器，该编码器基于 100,000 个人类基因组变异体进行训练，并使用 DNABERT2 嵌入对每个变异体的基因组背景进行编码。将此变异编码器添加到标准机器学

ST-Raptor--开源表格问答工具

上海交通大学等开源了一款半结构化表格问答工具：ST-Raptor，无需微调，准确率超GPT-4o 做文档智能、财务审核、报表自动化、医疗质控、法律合规的可以看看 它通过视觉理解、结构化解析以及语言推理，来解决复杂、不规则表格的问答问题 也就是说可以用它对Excel报表、网站上的表格以及Markdown、csv文件进行问答，比如学术表、财务报表 ST-Raptor先用VLM识别表格整体和单元格内容，

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UnifoLM-WMA-0

项目主页：https://unigen-x.github.io/unifolm-world-model-action.github.io/开源代码网址：https://github.com/unitreerobotics/unifolm-world-model-action

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