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@@ -100,6 +114,22 @@ This page provides an overview of applications that support the Model Context Pr
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- It is open-source and user-friendly, suitable for beginners.
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- Future support for MCP will be continuously improved.
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### Amazon Q CLI
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[Amazon Q CLI](https://github.com/aws/amazon-q-developer-cli) is an open-source, agentic coding assistant for terminals.
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**Key features:**
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- Full support for MCP servers.
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- Edit prompts using your preferred text editor.
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- Access saved prompts instantly with `@`.
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- Control and organize AWS resources directly from your terminal.
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- Tools, profiles, context management, auto-compact, and so much more!
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**Get Started**
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```bash
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brew install amazon-q
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```
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### Apify MCP Tester
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[Apify MCP Tester](https://github.com/apify/tester-mcp-client) is an open-source client that connects to any MCP server using Server-Sent Events (SSE).
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It is a standalone Apify Actor designed for testing MCP servers over SSE, with support for Authorization headers.
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**Learn more:**
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-[Example of using MCP tools in agentic workflow](https://i-am-bee.github.io/beeai-framework/#/typescript/tools?id=using-the-mcptool-class)
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### BoltAI
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[BoltAI](https://boltai.com) is a native, all-in-one AI chat client with MCP support. BoltAI supports multiple AI providers (OpenAI, Anthropic, Google AI...), including local AI models (via Ollama, LM Studio or LMX)
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**Key features:**
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- MCP Tool integrations: once configured, user can enable individual MCP server in each chat
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- MCP quick setup: import configuration from Claude Desktop app or Cursor editor
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- Invoke MCP tools inside any app with AI Command feature
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- Integrate with remote MCP servers in the mobile app
Claude Code is an interactive agentic coding tool from Anthropic that helps you code faster through natural language commands. It supports MCP integration for prompts and tools, and also functions as an MCP server to integrate with other clients.
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- Seamless interoperability with Genkit's existing tools and prompts
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- Works across a wide variety of GenAI models from top providers
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### Glama
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[Glama](https://glama.ai/chat) is a comprehensive AI workspace and integration platform that offers a unified interface to leading LLM providers, including OpenAI, Anthropic, and others. It supports the Model Context Protocol (MCP) ecosystem, enabling developers and enterprises to easily discover, build, and manage MCP servers.
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**Key features:**
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- Integrated [MCP Server Directory](https://glama.ai/mcp/servers)
- Host MCP servers and access them via the Chat or SSE endpoints
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– Ability to chat with multiple LLMs and MCP servers at once
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- Upload and analyze local files and data
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- Full-text search across all your chats and data
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### GenAIScript
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Programmatically assemble prompts for LLMs using [GenAIScript](https://microsoft.github.io/genaiscript/) (in JavaScript). Orchestrate LLMs, tools, and data in JavaScript.
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- Local-first approach with support for multiple LLM providers
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- Open-source, built to be extensible and easy to modify
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### HyperAgent
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[HyperAgent](https://github.com/hyperbrowserai/HyperAgent) is Playwright supercharged with AI. With HyperAgent, you no longer need brittle scripts, just powerful natural language commands. Using MCP servers, you can extend the capability of HyperAgent, without having to write any code.
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**Key features**
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- AI Commands: Simple APIs like page.ai(), page.extract() and executeTask() for any AI automation
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- Fallback to Regular Playwright: Use regular Playwright when AI isn't needed
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- Stealth Mode – Avoid detection with built-in anti-bot patches
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- Cloud Ready – Instantly scale to hundreds of sessions via [Hyperbrowser](https://www.hyperbrowser.ai/)
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- MCP Client – Connect to tools like Composio for full workflows (e.g. writing web data to Google Sheets)
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### Klavis AI Slack/Discord/Web
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[Klavis AI](https://www.klavis.ai/) is an Open-Source Infra to Use, Build & Scale MCPs with ease.
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- Integration with development workflows
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- Extensible AI capabilities
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### Postman
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[Postman](https://postman.com/downloads) is the most popular API client and now supports MCP server testing and debugging.
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**Key features**:
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- Full support of all major MCP features (tools, prompts, resources, and subscriptions)
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- Fast, seamless UI for debugging MCP capabilities
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- MCP config integration (Claude, VSCode, etc.) for fast first-time experience in testing MCPs
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- Integration with history, varibles, and collections for re-use and collaboration
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### Slack MCP Client
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[Slack MCP Client](https://github.com/tuannvm/slack-mcp-client) acts as a bridge between Slack and Model Context Protocol (MCP) servers. Using Slack as the interface, it enables large language models (LLMs) to connect and interact with various MCP servers through standardized MCP tools.
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**Key features:**
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-**Supports Popular LLM Providers:** Integrates seamlessly with leading large language model providers such as OpenAI, Anthropic, and Ollama, allowing users to leverage advanced conversational AI and orchestration capabilities within Slack.
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-**Dynamic and Secure Integration:** Supports dynamic registration of MCP tools, works in both channels and direct messages and manages credentials securely via environment variables or Kubernetes secrets.
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-**Easy Deployment and Extensibility:** Offers official Docker images, a Helm chart for Kubernetes, and Docker Compose for local development, making it simple to deploy, configure, and extend with additional MCP servers or tools.
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### Sourcegraph Cody
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[Cody](https://openctx.org/docs/providers/modelcontextprotocol) is Sourcegraph's AI coding assistant, which implements MCP through OpenCTX.
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-[Theia IDE and Theia AI MCP Announcement](https://eclipsesource.com/blogs/2024/12/19/theia-ide-and-theia-ai-support-mcp/)
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-[Download the AI-powered Theia IDE](https://theia-ide.org/)
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### Tome
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[Tome](https://github.com/runebookai/tome) is an open source cross-platform desktop app designed for working with local LLMs and MCP servers. It is designed to be beginner friendly and abstract away the nitty gritty of configuration for people getting started with MCP.
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**Key features:**
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- MCP servers are managed by Tome so there is no need to install uv or npm or configure JSON
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- Users can quickly add or remove MCP servers via UI
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- Any tool-supported local model on Ollama is compatible
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### TypingMind App
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[TypingMind](https://www.typingmind.com) is an advanced frontend for LLMs with MCP support. TypingMind supports all popular LLM providers like OpenAI, Gemini, Claude, and users can use with their own API keys.
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@@ -42,6 +42,7 @@ These MCP servers are maintained by companies for their platforms:
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-**[Axiom](https://github.com/axiomhq/mcp-server-axiom)** - Query and analyze logs, traces, and event data using natural language
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-**[Browserbase](https://github.com/browserbase/mcp-server-browserbase)** - Automate browser interactions in the cloud
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-**[BrowserStack](https://github.com/browserstack/mcp-server)** - Access BrowserStack's [Test Platform](https://www.browserstack.com/test-platform) to debug, write and fix tests, do accessibility testing and more.
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-**[Cloudflare](https://github.com/cloudflare/mcp-server-cloudflare)** - Deploy and manage resources on the Cloudflare developer platform
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-**[E2B](https://github.com/e2b-dev/mcp-server)** - Execute code in secure cloud sandboxes
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-**[Neon](https://github.com/neondatabase/mcp-server-neon)** - Interact with the Neon serverless Postgres platform
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