关键词 "ENL Semantic Spinning" 的搜索结果, 共 24 条, 只显示前 480 条
Python wrapper for seamless integration with different MCP-servers and open-source large language models (LLMs).
Example of usage of Microsoft Semantic Kernel with OpenAI and MCP Server
Your own codebase tools like code semantic search
VSCode Extension with an MCP server that exposes semantic tools like Find Usages and Rename to LLMs
MCP server implementation for ElevenLabs API integration
An MCP (Model Context Protocol) server that integrates with the Language Server Protocol (LSP) to expose rich semantic information from codebases to an LLM code agent.
A Model Context Protocol (MCP) server implementation for the OpenLedger API. This server provides structured context to AI models according to the MCP specification.
The semantic layer for software engineering: Connect code to meaning, build on understanding
A MCP server that enables Claude to discover and call any API endpoint through semantic search. Intelligently chunks OpenAPI specifications to handle large API documentation, with built-in request exe
Add Obsidian integrations like semantic search and custom Templater prompts to Claude or any MCP client.
eShopLite is a set of reference .NET applications implementing an eCommerce site with features like Semantic Search, MCP, Reasoning models and more.
Branch-Thinking MCP Tool A TypeScript-powered MCP server for managing parallel branches of thought, semantic cross-references, and persistent tasks. Features dynamic scoring, AI-generated insights, ba
A lightweight MCP server that loads PDF files, extracts and chunks their text, builds a semantic vector index, and returns relevant passages to Claude or other AI agents for document-based question an
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
MCP server that provides tools for metadata retrieval from SharePoint and entity retrieval from a Neo4j knowledge graph using semantic similarity search.
A RAG-ready MCP server for semantic PDF search with OCR, FAISS, and transformers—plug into any MCP client and retrieve intelligent answers within your MCP client.
The MCP-RAG Server is an implementation of the Model Context Protocol (MCP) designed to enhance AI assistants by providing them with real-time access to relevant documentation through semantic vector
A PostgreSQL MCP server with semantic search capabilities for AI chatbots
The repository SMMS creates an MCP server for instance-level semantic maps and provides a series of functional modules for 3D instance objects in semantic maps.
a powerful coding agent toolkit providing semantic retrieval and editing capabilities (MCP server & Agno integration)
LangChain wrapper for seamless integration MCP-servers with different open-source large language models from transformers library.
🤖 The Semantic Engine for Model Context Protocol(MCP) Clients and AI Agents 🔥
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