关键词 "closed investors community" 的搜索结果, 共 21 条, 只显示前 480 条
A comprehensive map of all available MCP servers, from reference implementations to community contributions
Community MCP server for hyprctl
Easy-MCP-Use is the open source TypeScript library to connect any LLM to any MCP server and build custom agents that have tool access, without using closed source or application clients.
🌐 Mcpixir is the open source way to connect any LLM to any MCP server and build custom agents that have tool access, without using closed source or application clients.
Collection of Go MCP Servers created by the community
A MCP Server For LINUX DO community
Open source community for mcp servers
A modern, community-driven collection of Dockerized Model Context Protocol (MCP) servers, tools, and resources.
A modern, community-driven collection of Docker Model Context Protocol (MCP) servers, tools, and resources.
Easily run, deploy, and connect to MCP servers
An unofficial and community-built MCP server for integrating with
Mirror of
A Model Context Protocol (MCP) server that provides tools for fetching dependency information from Clojars, the Clojure community's artifact repository.
This repository contains a collection of community-maintained Model Context Protocol (MCP) servers. All servers are automatically listed on the MCP Get registry and can be viewed and installed via CLI
MCP server that interacts with Obsidian via the Obsidian rest API community plugin
A Model Context Protocol (MCP) server for Clay (clay.earth). Search your email, calendar, Twitter / X, Linkedin, iMessage, Facebook, and WhatsApp contacts. Take notes, set reminders, and more. Exampl
A community-curated collection of Open-Source MCP servers.
LongPort OpenAPI provides programmatic quote trading interfaces for investors with research and development capabilities and assists them to build trading or quote strategy analysis tools based on the
This is a directory repo for anything related to MCP - servers, clients and projects around MCP.
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
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