Search Results for "artificial intelligence algorithm" - Page 4
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Showing 155 open source projects for "artificial intelligence algorithm"
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Gateway MCP
Universal MCP-Server for your Databases optimized for LLMs
Gateway is an MCP server that connects to structured databases like PostgreSQL, automatically analyzing schemas and data samples to generate optimized API structures. It leverages large language models (LLMs) during the discovery stage to produce API configurations, ensuring secure and efficient interactions between AI agents and databases. -
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Wren Engine
The Semantic Engine for Model Context Protocol(MCP)
Wren Engine is a semantic engine designed to empower Model Context Protocol (MCP) clients and AI agents by providing accurate, contextual, and governed access to business data. It serves as a bridge between large language models (LLMs) and enterprise systems, facilitating seamless integration and interaction. -
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LangChain MCP
Model Context Protocol tool support for LangChain
langchain-mcp provides Model Context Protocol (MCP) tool support for LangChain, a framework for developing applications powered by language models. It allows developers to create an MCPToolkit with a client. -
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MetaMCP
MCP Aggregator, Orchestrator, Middleware, Gateway in one docker
MetaMCP is an all-in-one MCP aggregator, orchestrator, and middleware that merges many MCP servers into a single, policy-aware server you can point any MCP client at. It’s built to centralize discovery, apply middlewares (e.g., auth, rate limits, transforms), and present a unified catalog of tools and resources from diverse backends. The repository and site describe it as “the one MCP to manage all your MCPs,” with diagrams and examples showing how to compose fleets behind a single endpoint.... -
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ArXiv MCP Server
A Model Context Protocol server for searching and analyzing arXiv
arxiv-mcp-server bridges AI assistants and the arXiv repository through a clean MCP interface, enabling search, metadata retrieval, and content access without bespoke scraping. With simple tools like “search” and “fetch,” an agent can find papers, pull abstracts, and download PDFs for downstream summarization or analysis. The project includes packaging and CI to publish to PyPI, plus tests and linting for reliability. Issue threads show feature requests such as extracting embedded LaTeX and... -
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Unla
Gateway service that instantly transforms existing MCP Servers
Unla is a lightweight, highly available MCP gateway written in Go that turns existing MCP servers or ordinary HTTP APIs into MCP-compliant services through configuration, not code changes. Its goal is to let teams “wire up” tools they already run—internal REST endpoints, third-party APIs, or local MCP servers—and present a single, reliable MCP interface to clients like Claude Desktop, Cursor, and IDEs. The gateway focuses on operational concerns you’d expect in production: multi-instance... -
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Browser MCP
Browser MCP is a Model Context Provider (MCP) server
Browser MCP is an MCP server plus browser integration that lets AI apps automate the user’s real browser instead of launching a separate automation session. By adapting a Playwright-style approach to control the running browser profile, it reuses logged-in sessions and cookies, which reduces re-authentication friction and helps avoid some bot-detection heuristics. The server exposes structured tools for navigation, element interaction, and artifact capture (DOM, screenshots, logs), all... -
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Awesome-MCP-ZH
Claude MCP, MCP Servers, MCP Clients
Awesome-MCP-ZH is a curated, Chinese-language “awesome list” that maps the Model Context Protocol ecosystem for newcomers and practitioners. It organizes learning resources, how-tos, and explainers alongside living catalogs of MCP servers, clients, and tooling so users can get productive quickly. The curation emphasizes beginner-friendly on-ramps, including clients that bundle runtimes and one-click setups, as well as advanced references for power users. Regular updates and community stars... -
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Firecrawl MCP Server
Adds powerful web scraping and search to Cursor and Claude
firecrawl-mcp-server is the official MCP integration for Firecrawl that brings high-recall web scraping, crawling, and search into IDEs and agent runtimes. It exposes tools for single-page scrape, multi-URL batch jobs, site discovery, and search enrichment, returning cleaned, structured content suitable for downstream LLM reasoning. The server is designed to run with Firecrawl’s hosted API or self-hosted deployments, making it flexible for enterprise data-governance requirements. Built-in... -
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n8n-MCP
A MCP for Claude Desktop / Claude Code / Windsurf / Cursor
n8n-mcp is a Model Context Protocol (MCP) server that turns the n8n workflow platform into a set of first-class, typed tools an AI assistant can understand and operate. It exposes structured knowledge of n8n nodes and operations so an agent can reason about workflows, parameters, and executions without scraping docs or guessing API shapes. The server focuses on making Claude Desktop (and other MCP-capable clients) “n8n-literate,” enabling tasks such as inspecting existing workflows,... -
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MCP Framework
A framework for writing MCP (Model Context Protocol) servers
The mcp-framework is a TypeScript framework for building Model Context Protocol (MCP) servers elegantly. It provides an out-of-the-box architecture with automatic directory-based discovery for tools, resources, and prompts. The framework offers powerful MCP abstractions, enabling developers to define components in an elegant manner, and includes a CLI to streamline the server setup process. -
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HackMD MCP
A Model Context Protocol server for integrating HackMD
The HackMD MCP server integrates HackMD's note-taking platform with AI assistants via the Model Context Protocol. This allows AI models to interact with HackMD, enabling functionalities such as retrieving, creating, and managing notes through AI-driven commands. -
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TikTok MCP
Model Context Protocol (MCP) with TikTok integration
The TikTok MCP integrates TikTok access into AI applications like Claude AI via TikNeuron. It enables analysis and interaction with TikTok content to determine virality factors and extract video content. -
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MCP Server Amazon Bedrock
Model Context Procotol(MCP) server for using Amazon Bedrock
The Amazon Bedrock MCP Server is an MCP server that integrates with Amazon Bedrock's Nova Canvas model for AI image generation. It allows users to generate high-quality images from text descriptions using Amazon's AI capabilities. -
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MCP Monitor
A system monitoring tool that exposes system metrics
The MCP System Monitor is a tool that exposes system metrics via the Model Context Protocol (MCP), allowing Large Language Models (LLMs) to retrieve real-time system information through an MCP-compatible interface. -
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MCP Claude Code
MCP implementation of Claude Code capabilities and more
The MCP Claude Code server implements Claude Code-like functionality, allowing AI assistants to directly execute instructions for modifying and improving project files. It leverages the Model Context Protocol for seamless integration with various MCP clients. -
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MCP Neo4j
Model Context Protocol with Neo4j
An implementation of the Model Context Protocol with Neo4j, enabling natural language interactions with Neo4j databases and facilitating operations such as schema retrieval and Cypher query execution. -
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Elasticsearch MCP Server
A Model Context Protocol (MCP) server implementation
This MCP server implementation provides interaction capabilities with Elasticsearch and OpenSearch, enabling functionalities such as document searching, index analysis, and cluster management through a set of tools. -
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AniList MCP
AniList MCP server for accessing anime and manga data
An MCP server that interfaces with the AniList API, allowing AI clients to access and interact with anime, manga, character, staff, and user data from AniList. -
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MCP Teams Server
An MCP (Model Context Protocol) server implementation
An MCP server implementation for Microsoft Teams integration, providing capabilities to read messages, create messages, reply to messages, and mention members, facilitating AI-driven interactions within Teams. -
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Solana Agent Kit
Connect any ai agents to solana protocols
solana-agent-kit is an open-source toolkit that enables AI agents to connect with Solana blockchain protocols. It allows any AI agent, regardless of the underlying model, to autonomously perform over 60 Solana actions, including token trading, launching new tokens, lending assets, sending compressed airdrops, executing blinks, launching tokens on Automated Market Makers (AMMs), and bridging tokens across chains. -
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MCP Go
A Go implementation of the Model Context Protocol (MCP)
mcp-go is a Go implementation of the Model Context Protocol (MCP), designed to enable seamless integration between Large Language Model (LLM) applications and external data sources and tools. It abstracts the complexities of the protocol and server management, allowing developers to focus on building robust tools. The library is high-level and user-friendly, facilitating the development of MCP servers in Go. -
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CodeMirror MCP
CodeMirror extension to hook up a Model Context Provider (MCP)
The codemirror-mcp project is a CodeMirror extension that integrates the Model Context Protocol (MCP) into the CodeMirror editor. This extension enhances the editor's capabilities by providing features such as autocompletion for resource mentions and prompt commands, as well as visual styling for these elements. It aims to streamline the user experience when working with MCP within the CodeMirror environment. -
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Telegram MCP
MCP server to work with Telegram through MTProto
An MCP server that bridges the Telegram API and AI assistants, enabling seamless interaction between AI applications and Telegram through MTProto. -
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MCP Server JS
An MCP (Model Context Protocol) server
An MCP (Model Context Protocol) server that enables AI platforms to interact with YepCode's infrastructure, allowing users to run large language model (LLM) generated scripts and transform YepCode processes into powerful tools accessible directly by AI assistants.
