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Showing 73–96 of 2,148 for openai-mcp-client

Smriti Mcp

Smriti is a Model Context Protocol (MCP) server that provides persistent, graph-based memory for LLM applications. Built on LadybugDB (embedded property graph…

eShopLite

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

AIR Blackbox MCP Server

EU AI Act compliance scanning for Python AI agents. 10 tools that scan, analyze, and fix compliance gaps across LangChain, CrewAI, AutoGen, OpenAI, and RAG…

Cairn

Persistent memory for agents and humans. Semantic, episodic and frictionless via an automated three tier capture.

THE PROJECT IS MOVED

🚀 All-in-one MCP server with AI search, RAG, and multi-service integrations (GitLab/Jira/Confluence/YouTube) for AI-enhanced development workflows

Inkeep

Enables Claude to search and retrieve relevant documentation through Inkeep's RAG API, returning structured citation data for technical support and…

HEYM

Self-hosted AI workflow automation platform with visual canvas, agents, RAG, HITL, MCP, and observability in one runtime. Expose your Heym workflows as an MCP…

MCP Knowledge Base

A knowledge base and experimental playground for exploring the Model Context Protocol (MCP)—understanding how hosts, servers, LLMs, and tools interact.

PubFi MCP

Public docs, examples, and agent-readable integration guides for PubFi's agent-native crypto data layer.

OpenAI Chat Completions

This MCP server, developed by AllAboutAI-YT, implements a simple notes system to demonstrate core MCP concepts. It provides resources for text notes with URIs…

CoinGecko MCP Server

Enables interaction with the CoinGecko Pro API to access cryptocurrency data including price history and market metrics through both MCP and OpenAI function…

MaxKB

🔥 MaxKB is an open-source platform for building enterprise-grade agents. 强大易用的开源企业级智能体平台。

Tiny Chat

This is an LLM application with chat functionality, featuring chat using RAG, a database, and MCP server capabilities. The UI is designed for Japanese users.

Qdrant Docs Rag

Retrieve and process documentation using vector search to provide context for AI assistants.

Mem0 (Long-Term Memory)

Provides persistent long-term memory capabilities through semantic indexing, retrieval, and search functions with support for multiple LLM providers and…

OpenRouter

Unifies access to diverse AI models via OpenRouter, enabling flexible model selection and usage for applications like chatbots and content generation.

Coding Assistant

Enhances coding capabilities by providing context-aware suggestions and documentation integration through code analysis, technology detection, and intelligent…

QDrant RagDocs

Integrates Retrieval-Augmented Generation using Qdrant vector database and embeddings to enable semantic search and management of documentation.

HR Policy Chatbot

Enables HR departments to provide workplace policy information through a RAG-based chatbot that indexes, retrieves, and generates answers from PDF…