Search Results for "mcp"
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Showing 33 open source projects for "mcp"
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mcp-use
A solution to build and deploy MCP agents and applications
mcp-use is an open source development platform offering SDKs, cloud infrastructure, and a developer-friendly control plane for building, managing, and deploying AI agents that leverage the Model Context Protocol (MCP). It enables connection to multiple MCP servers, each exposing specific tool capabilities like browsing, file operations, or specialized integrations, through a unified MCPClient. -
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n8n
Free and source-available fair-code licensed workflow automation tool
n8n is an extendable workflow automation tool. With a fair-code distribution model, n8n will always have visible source code, be available to self-host, and allow you to add your own custom functions, logic and apps. n8n's node-based approach makes it highly versatile, enabling you to connect anything to everything. n8n has 200+ different nodes to automate workflows. -
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Nerve
The Simple Agent Development Kit
Nerve is a developer-friendly Agent Development Kit (ADK) that utilizes YAML and a CLI to define, run, orchestrate, and evaluate LLM-driven agents. It supports declarative setups, tool integration, workflow pipelines, and both MCP client and server roles. Nerve is a simple yet powerful Agent Development Kit (ADK) to build, run, evaluate, and orchestrate LLM-based agents using just YAML and a CLI. It’s designed for technical users who want programmable, auditable, and reproducible automation using large language models. Define agents using a clean YAML format: system prompt, task, tools, and variables — all in one file. -
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VulnClaw
Based on AI Agent + MCP toolchain + penetration Skill orchestration
VulnClaw is an AI-powered penetration testing agent that turns natural language security goals into structured testing workflows. It combines LLM agents, MCP toolchains, penetration testing skills, and command-line automation to support authorized security assessments. The project can guide information gathering, vulnerability discovery, validation, and report generation while keeping the workflow organized through sessions and tools. Its newer architecture uses a goal-driven solving engine instead of a fixed-round loop, helping the agent stop when the goal is reached, the search space is exhausted, or a safety budget is met. ... -
Enterprise-grade ITSM, for every businessFreshservice is an intuitive, AI-powered platform that helps IT, operations, and business teams deliver exceptional service without the usual complexity. Automate repetitive tasks, resolve issues faster, and provide seamless support across the organization. From managing incidents and assets to driving smarter decisions, Freshservice makes it easy to stay efficient and scale with confidence.
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MindsDB
Making Enterprise Data Intelligent and Responsive for AI
...Powered by an industry-first cognitive engine that can operate anywhere (on-prem, VPC, serverless), it empowers both humans and AI with highly informed decision-making capabilities. A federated query engine that tidies up your data-sprawl chaos while meticulously answering every single question you throw at it. MindsDB has an MCP server built in that enables your MCP applications to connect, unify and respond to questions over large-scale federated data—spanning databases, data warehouses, and SaaS applications. -
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Paperclip
Open-source orchestration for zero-human companies
Paperclip is an open-source tool designed to help AI systems and developer tools access academic research papers through a standardized interface. The project implements a server based on the Model Context Protocol (MCP), a framework that allows large language models and AI agents to connect to external data sources and tools in a consistent way. By acting as a middleware layer, Paperclip aggregates multiple academic databases and exposes them through a single interface, allowing AI applications to search and retrieve scholarly papers without needing to integrate with each provider individually. ... -
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MiMo Code
Where Models and Agents Co-Evolve
...Its persistent memory system stores project notes, checkpoints, scratch notes, and task progress so the assistant can resume work with context. It also supports subagents, goal checking, voice input, MCP connections, and custom provider configuration. MiMo-Code is useful for developers who want an autonomous coding assistant that combines terminal workflows, long-running task management, and project-aware memory. -
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InsForge
InsForge is the backend built for AI-assisted development
...Rather than forcing developers to manually cobble together authentication flows, database schemas, storage buckets, and cloud functions, InsForge provides a semantic layer and toolchain that let agents configured with Model Context Protocol (MCP) understand the backend state, available operations, and how to manipulate these resources end to end. This enables AI coding assistants to complement human engineers by self-configuring backend components, connecting services, and evolving apps autonomously from prompts without switching contexts or manually provisioning infrastructure. -
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CodeGraph
Pre-indexed code knowledge graph for Claude Code, Codex, Cursor
...The project uses deterministic parsing rather than LLM summaries, which makes its indexed data more predictable and grounded in the actual source tree. It is designed for tools such as Claude Code, Codex, Cursor, and OpenCode, with MCP support for agent access. CodeGraph stores project data locally, which helps reduce token usage and repeated file exploration. Its main purpose is to make agent-assisted coding faster, cheaper, and more context-aware. -
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Airweave
Airweave lets agents search any app
Airweave is an open-source platform that enables agents to semantically search across various applications, databases, and APIs. By transforming disparate data sources into a unified, searchable knowledge base, Airweave facilitates intelligent information retrieval through REST APIs or the MCP protocol. It's particularly useful for building AI agents that require access to structured and unstructured data across multiple platforms. -
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AnyClaw
AnyClaw — OpenClaw + Codex + Claude Code on Android
AnyClaw is an Android-based AI assistant platform that combines OpenClaw, OpenAI Codex CLI, and OpenClaude (formerly Claw Code) into a single mobile application. It enables users to run advanced AI coding agents directly on their Android devices within a self-contained Linux environment. The platform provides conversational coding, agent routing, multi-threaded sessions, and automation capabilities without requiring root access or external servers. AnyClaw includes a full dashboard for... -
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Cherry Studio
Cherry Studio is a desktop client that supports for multiple LLMs
...Selection Assistant with smart content selection enhancement. Deep Research with advanced research capabilities. Memory System with global context awareness. Document Preprocessing with improved document handling. MCP Marketplace for Model Context Protocol ecosystem. -
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Kimchi
Terminal coding agent powered by Kimchi's multi-model orchestration
...It is designed to help developers run AI-assisted coding sessions from the command line while coordinating specialized agents, tools, permissions, and project context. The repository includes systems for subagents, task classification, model delegation, MCP integration, web search, web fetching, Language Server Protocol support, authentication, and interactive terminal workflows. It also supports ACP-style JSON-RPC integration for editor workflows and remote session multiplexing through its teleport mode. Kimchi includes benchmarking tools for smoke testing sessions, auditing completed work, and comparing model behavior across predefined tasks. ... -
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Gemini CLI
Open source AI agent CLI tool to bring Gemini into your terminal
Gemini CLI is an open‑source AI agent that brings the capabilities of Google’s Gemini 2.5 Pro large‑language model directly into your terminal, enabling tasks ranging from coding and debugging to content creation and research via natural‑language prompts, with support for multimodal outputs like image and video generation. Gemini CLI integrates with external tools and MCP servers, enabling media generation and enhanced workflow automation. It also includes a built-in Google Search tool to ground queries with relevant information. Users can authenticate with their Google accounts for free usage limits or configure API keys for higher capacity and access to specific models. The tool is designed to be easy to install and use, with extensive documentation and community support for troubleshooting and advanced workflows. -
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Vibium
Browser automation for AI agents and humans
Vibium is an open-source browser automation infrastructure built to serve both AI agents and human developers by simplifying control and interaction with real browsers. It integrates a single lightweight binary that manages browser lifecycle, implements a WebDriver BiDi proxy, and exposes a Model Context Protocol (MCP) server so language models or automation clients can control browser behavior without complex setup. This design makes it ideal for AI agents that need to interact with the web, perform tasks, or simulate human interactions in a browser environment, and it also works well for traditional testing and automation workflows. Vibium strikes a balance between AI-native capabilities and conventional developer usability by offering language bindings and client APIs for JavaScript and Python. -
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AgentScope
Build and run agents you can see, understand and trust
...With built-in support for ReAct agents, memory, planning, human-in-the-loop control, and real-time voice interaction, developers can create powerful agents in minutes. AgentScope integrates seamlessly with tools, long-term memory systems, MCP, A2A (Agent-to-Agent) protocols, and observability frameworks. It also supports reinforcement learning workflows for tuning agents and improving performance across complex tasks. Deployable locally, serverless in the cloud, or on Kubernetes with OpenTelemetry support, AgentScope is built for both experimentation and production environments. -
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WorkAny
Desktop Agent for Any Task
...It acts as a unified environment where users can ask the AI to generate documents, presentations, websites, spreadsheets, organize files, or write code — all with real-time streaming outputs directly in the app, so you see results as the AI produces them. Powered by a combination of Claude Code as the primary runtime agent and a sandbox execution environment for safety, WorkAny integrates an agent SDK, MCP (Model Context Protocol) support, and custom skills to handle diverse tasks with contextual understanding. Users can connect multiple model providers, including OpenAI, OpenRouter, or custom endpoints, and WorkAny supports parallel task execution with asynchronous result viewing, enhancing productivity. -
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Eigent
The Open Source Cowork Desktop to Unlock Your Exceptional Productivity
...You can run Eigent fully locally for maximum privacy and data control, or choose a cloud-connected experience for quick access. The platform supports a wide range of AI models and integrates powerful tools through the Model Context Protocol (MCP). With human-in-the-loop controls and enterprise-ready features, Eigent balances automation with oversight and security. -
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Actionbook
Browser action engine for AI agents. 10× faster, resilient by design
...This design makes browsing up to 10× faster and far more resilient than ad-hoc approaches that break on minor page changes, because the action manuals codify expected flows and DOM targets. It provides multiple integration paths — a Rust-based CLI, MCP server support for AI IDEs, and a JavaScript SDK — so developers can plug it into a wide range of agent pipelines and toolchains. -
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MAI-UI
Real-World Centric Foundation GUI Agents
...Unlike traditional UI frameworks, MAI-UI emphasizes realistic deployment by supporting agent–user interaction (clarifying ambiguous instructions), integration with external tool APIs using MCP calls, and a device–cloud collaboration mechanism that dynamically routes computation to on-device or cloud models based on task state and privacy constraints. -
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Agent Stack
Deploy and share agents with open infrastructure
Agent Stack is an open infrastructure platform designed to take AI agents from prototype to production, no matter how they were built. It includes a runtime environment, multi-tenant web UI, catalog of agents, and deployment flow that seeks to remove vendor lock-in and provide greater autonomy. Under the hood it’s built on the “Agent2Agent” (A2A) protocol, enabling interoperability between different agent ecosystems, runtime services, and frameworks. The platform supports agents built in... -
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Anything Analyzer
AI Agent/IDE | All-in-one protocol analysis toolkit
...It integrates AI-powered analysis to interpret captured data and provide insights into protocols and behaviors. The system is built to connect seamlessly with AI agents and development environments through MCP server integration. It is particularly useful for security research, debugging, and reverse engineering workflows. Overall, it transforms complex network inspection into an extensible and intelligent analysis platform. -
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Mini Agent
A minimal yet professional single agent demo project
...The project exposes an Anthropic-compatible API interface and fully supports interleaved thinking, letting the agent alternate between reasoning steps and tool invocations during long, complex tasks. It includes a basic toolset for file-system operations and shell commands, plus integrations with MCP tools such as web search and knowledge graph access. Mini-Agent also comes with “Claude Skills”-style predefined skills for tasks like document processing, design work, and testing, packaged as reusable behaviors that can be invoked by the agent as needed. -
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Agent Reach
Give your AI agent eyes to see the entire internet
Agent Reach is a command-line tool that gives AI agents access to public internet content across multiple platforms. It is designed for agent workflows that need to read and search sources like Twitter, Reddit, YouTube, GitHub, Bilibili, and XiaoHongShu without relying on paid platform APIs. The project focuses on giving AI tools broader visibility into social, video, code, and community data through one interface. It can be useful for research agents, automation workflows, competitive... -
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LibreChat
Enhanced ChatGPT Clone: Features Agents, MCP, DeepSeek, Anthropic, etc
LibreChat is an open-source AI chat platform designed to give users full control over their conversational AI experience by letting them self-host and integrate with a wide range of large language models. It serves as a flexible alternative to commercial AI chat services by allowing connections to providers like OpenAI, Anthropic Claude, Google Vertex, AWS Bedrock, and more, all while keeping your data private on infrastructure you control. The project features a sleek, intuitive interface...
