20 skills found
oraios / serenaA powerful coding agent toolkit providing semantic retrieval and editing capabilities (MCP server & other integrations)
vllm-project / semantic-routerSystem Level Intelligent Router for Mixture-of-Models at Cloud, Data Center and Edge
isaacphi / mcp-language-servermcp-language-server gives MCP enabled clients access semantic tools like get definition, references, rename, and diagnostics.
ForLoopCodes / contextplusSemantic Intelligence for Large-Scale Engineering. Context+ is an MCP server designed for developers who demand 99% accuracy. By combining RAG, Tree-sitter AST, Spectral Clustering, and Obsidian-style linking, Context+ turns a massive codebase into a searchable, hierarchical feature graph.
bgauryy / octocode-mcpMCP server for semantic code research and context generation on real-time using LLM patterns | Search naturally across public & private repos based on your permissions | Transform any accessible codebase/s into AI-optimized knowledge on simple and complex flows | Find real implementations and live docs from anywhere
jacksteamdev / obsidian-mcp-toolsAdd Obsidian integrations like semantic search and custom Templater prompts to Claude or any MCP client.
andrea9293 / mcp-documentation-serverMCP Documentation Server - Bridge the AI Knowledge Gap. ✨ Features: Document management • Gemini integration • AI-powered semantic search • File uploads • Smart chunking • Multilingual support • Zero-setup 🎯 Perfect for: New frameworks • API docs • Internal guides
Denis2054 / Context-Engineering-for-Multi-Agent-SystemsSave thousands of lines of code by building universal, domain-agnostic Multi-Agent Systems (MAS) through high-level semantic orchestration. This repository provides a production-ready blueprint for the Agentic Era, allowing you to replace rigid, hard-coded workflows with a dynamic transparent Context Engine that provides 100% transparency.
swiftlens / swiftlensSwiftLens is a Model Context Protocol (MCP) server that provides deep, semantic-level analysis of Swift codebases to any AI models. By integrating directly with Apple's SourceKit-LSP, SwiftLens enables AI models to understand Swift code with compiler-grade accuracy.
wheattoast11 / openrouter-deep-research-mcpA multi-agent research MCP server + mini client adapter - orchestrates a net of async agents or streaming swarm to conduct ensemble consensus-backed research. Each task builds its own indexed pglite database on the fly in web assembly. Includes semantic + hybrid search, SQL execution, semaphores, prompts/resources and more
Nayshins / ummonThe semantic layer for software engineering: Connect code to meaning, build on understanding
lambda-capture / mcp-server🌐 MCP Server for Semantic Search of Macro Data for Quant Research AI Agents
MCP server providing semantic Java code analysis for AI agents. Built on Eclipse JDT with tools for navigation, refactoring, search, and metrics.
ApiliumCode / mayrosProduction-ready AI agent framework — semantic memory, multi-agent mesh, MCP server, intelligent routing, governance, and 67+ platform integrations.
ProfessioneIT / lsp-mcp-serverAn MCP (Model Context Protocol) server that bridges Claude Code to Language Server Protocol (LSP) servers, enabling semantic code intelligence capabilities.
soycanopa / SupaThings-MCPThings 3 MCP server for macOS with SQLite reads, official things:/// URL writes, and semantic planning tools for AI agents.
NocturnLabs / opencode-personal-knowledge🧠 Personal knowledge MCP server with vector database for Opencode. Store and retrieve knowledge using semantic search, powered by local embeddings.
cedricvidal / memorious-mcpSemantic Memory for MCP. 100% Local & Private. Store, recall, and forget with vector search via ChromaDB
rockywuest / qdrant-mcp-pi5Persistent semantic memory for AI agents on Raspberry Pi 5 — local Qdrant + MCP, no cloud, ~3s per query
maxzrff / KnowledgeMCPModel Context Protocol (MCP) server for local vector storage & semantic search (ChromaDB, OCR, async ingestion).