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MCP is a pain in the ass. To fix that, we’re launching DAuth: the first secure, multi-tenant MCP auth solution. OAuth isn’t enough. It doesn't support dynamically passing API keys, and you can’t trust passing credentials to non-OAuth servers, since secrets are exposed. This forces existing MCP marketplaces to... show more

Dedalus Labs

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1,037,030 Aufrufe • vor 7 Monaten •via X (Twitter)

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The MCP finally has proper authentication! It now supports OAuth 2.1 out of the box. That means proper authentication for AI agents and MCP tools is finally standardized. No more hacked-together API keys or custom token logic. With OAuth 2.1 + MCP, you can now: - Dynamically register clients - Issue & verify scoped JWT tokens - Track which agent acted for which user - Plug into existing IdPs (Auth0, Clerk, Firebase, etc.) I’ve been testing it with Scalekit, a lightweight OAuth layer built for MCP servers. It adds full discovery, token flow, and audit logs with minimal config. This is the missing piece for secure, multi-agent systems. Auth that actually works.

The MCP finally has proper authentication! It now supports OAuth 2.1 out of the box. That means proper authentication for AI agents and MCP tools is finally standardized. No more hacked-together API keys or custom token logic. With OAuth 2.1 + MCP, you can now: - Dynamically register clients - Issue & verify scoped JWT tokens - Track which agent acted for which user - Plug into existing IdPs (Auth0, Clerk, Firebase, etc.) I’ve been testing it with Scalekit, a lightweight OAuth layer built for MCP servers. It adds full discovery, token flow, and audit logs with minimal config. This is the missing piece for secure, multi-agent systems. Auth that actually works.

Arindam Majumder 𝕏

11,525 Aufrufe • vor 10 Monaten

this tweet misses the gold of executor! the whole point is you don't want CLI / scripts, you want API / MCP servers in this video i ask executor to configure itself and add an MCP server - it pops up a browser for me to OAuth through based on the MCP elicitation spec

this tweet misses the gold of executor! the whole point is you don't want CLI / scripts, you want API / MCP servers in this video i ask executor to configure itself and add an MCP server - it pops up a browser for me to OAuth through based on the MCP elicitation spec

Rhys

33,637 Aufrufe • vor 5 Monaten

X just made itself plug straight into AI tools with MCP servers. Your agents can now search and post on X directly. Not only read about it. Grok Build, Cursor, Claude, VS Code. All in. What you get: * X MCP; search posts, trends, bookmarks, even publish Articles * Docs MCP; API docs inside your workflow, no tab switching Setup is straightforward: * Go to create an X app * Enable OAuth 2.0; required for authentication * Add redirect URI; * Copy your CLIENT_ID and CLIENT_SECRET * Plug those into your MCP client or config * Run the setup commands; connect X MCP and Docs MCP * Log in once via browser; approve access * Verify; run grok mcp doctor xapi and grok mcp list Log in once. Done. Your workflow now includes X itself. X

X just made itself plug straight into AI tools with MCP servers. Your agents can now search and post on X directly. Not only read about it. Grok Build, Cursor, Claude, VS Code. All in. What you get: * X MCP; search posts, trends, bookmarks, even publish Articles * Docs MCP; API docs inside your workflow, no tab switching Setup is straightforward: * Go to create an X app * Enable OAuth 2.0; required for authentication * Add redirect URI; * Copy your CLIENT_ID and CLIENT_SECRET * Plug those into your MCP client or config * Run the setup commands; connect X MCP and Docs MCP * Log in once via browser; approve access * Verify; run grok mcp doctor xapi and grok mcp list Log in once. Done. Your workflow now includes X itself. X

Mario Nawfal

59,976 Aufrufe • vor 2 Monaten

Don't know what is MCP and want to get a very quick intro lesson without the hype? I've got you covered MCP clients (like Claude, Cursor) are like the Android Phones and MCP Servers are like Android Apps. You can install them on your client and give it new capabilities!

Don't know what is MCP and want to get a very quick intro lesson without the hype? I've got you covered MCP clients (like Claude, Cursor) are like the Android Phones and MCP Servers are like Android Apps. You can install them on your client and give it new capabilities!

Shobhit Bakliwal

14,128 Aufrufe • vor 1 Jahr

You can now connect your React application to any MCP server! And it only takes a single command: $ npx copilotkit@latest init -m MCP This is massive for anyone building React applications! Using the CopilotKit🪁 MCP Client Component, you can get an MCP Client chat component in your application and instant access to any MCP server out there! It doesn't get easier than this. Check out the link below for instructions on how to proceed ↓

You can now connect your React application to any MCP server! And it only takes a single command: $ npx copilotkit@latest init -m MCP This is massive for anyone building React applications! Using the CopilotKit🪁 MCP Client Component, you can get an MCP Client chat component in your application and instant access to any MCP server out there! It doesn't get easier than this. Check out the link below for instructions on how to proceed ↓

Santiago

39,944 Aufrufe • vor 1 Jahr

New course: MCP: Build Rich-Context AI Apps with Anthropic. Learn to build AI apps that access tools, data, and prompts using the Model Context Protocol in this short course, created in partnership with Anthropic Anthropic and taught by Elie Schoppik Elie Schoppik, its Head of Technical Education. Connecting AI applications to external systems that bring rich context to LLM-based applications has often meant writing custom integrations for each use case. MCP is an open protocol that standardizes how LLMs access tools, data, and prompts from external sources, and simplifies how you provide context to your LLM-based applications. For example, you can provide context via third-party tools that let your LLM make API calls to search the web, access data from local docs, retrieve code from a GitHub repo, and so on. MCP, developed by Anthropic, is based on a client-server architecture that defines the communication details between an MCP client, hosted inside the AI application, and an MCP server that exposes tools, resources, and prompt templates. The server can be a subprocess launched by the client that runs locally or an independent process running remotely. In this hands-on course, you'll learn the core architecture behind MCP. You’ll create an MCP-compatible chatbot, build and deploy an MCP server, and connect the chatbot to your MCP server and other open-source servers. Here’s what you’ll do: - Understand why MCP makes AI development less fragmented and standardizes connections between AI applications and external data sources - Learn the core components of the client-server architecture of MCP and the underlying communication mechanism - Build a chatbot with custom tools for searching academic papers, and transform it into an MCP-compatible application - Build a local MCP server that exposes tools, resources, and prompt templates using FastMCP, and test it using MCP Inspector - Create an MCP client inside your chatbot to dynamically connect to your server - Connect your chatbot to reference servers built by Anthropic’s MCP team, such as filesystem, which implements filesystem operations, and fetch, which extracts contents from the web as markdown - Configure Claude Desktop to connect to your server and others, and explore how it abstracts away the low-level logic of MCP clients - Deploy your MCP server remotely and test it with the Inspector or other MCP-compatible applications - Learn about the roadmap for future MCP development, such as multi-agent architecture, MCP registry API, server discovery, authorization, and authentication MCP is an exciting and important technology that lets you build rich-context AI applications that connect to a growing ecosystem of MCP servers, with minimal integration work. Please sign up here!

New course: MCP: Build Rich-Context AI Apps with Anthropic. Learn to build AI apps that access tools, data, and prompts using the Model Context Protocol in this short course, created in partnership with Anthropic Anthropic and taught by Elie Schoppik Elie Schoppik, its Head of Technical Education. Connecting AI applications to external systems that bring rich context to LLM-based applications has often meant writing custom integrations for each use case. MCP is an open protocol that standardizes how LLMs access tools, data, and prompts from external sources, and simplifies how you provide context to your LLM-based applications. For example, you can provide context via third-party tools that let your LLM make API calls to search the web, access data from local docs, retrieve code from a GitHub repo, and so on. MCP, developed by Anthropic, is based on a client-server architecture that defines the communication details between an MCP client, hosted inside the AI application, and an MCP server that exposes tools, resources, and prompt templates. The server can be a subprocess launched by the client that runs locally or an independent process running remotely. In this hands-on course, you'll learn the core architecture behind MCP. You’ll create an MCP-compatible chatbot, build and deploy an MCP server, and connect the chatbot to your MCP server and other open-source servers. Here’s what you’ll do: - Understand why MCP makes AI development less fragmented and standardizes connections between AI applications and external data sources - Learn the core components of the client-server architecture of MCP and the underlying communication mechanism - Build a chatbot with custom tools for searching academic papers, and transform it into an MCP-compatible application - Build a local MCP server that exposes tools, resources, and prompt templates using FastMCP, and test it using MCP Inspector - Create an MCP client inside your chatbot to dynamically connect to your server - Connect your chatbot to reference servers built by Anthropic’s MCP team, such as filesystem, which implements filesystem operations, and fetch, which extracts contents from the web as markdown - Configure Claude Desktop to connect to your server and others, and explore how it abstracts away the low-level logic of MCP clients - Deploy your MCP server remotely and test it with the Inspector or other MCP-compatible applications - Learn about the roadmap for future MCP development, such as multi-agent architecture, MCP registry API, server discovery, authorization, and authentication MCP is an exciting and important technology that lets you build rich-context AI applications that connect to a growing ecosystem of MCP servers, with minimal integration work. Please sign up here!

Andrew Ng

142,137 Aufrufe • vor 1 Jahr

We’re excited to introduce the Unity CLI, our new terminal-native path for connecting coding agents, CI pipelines, and custom tooling to Unity. Unity MCP remains fully supported for your existing setups but to help with the transition, the CLI includes an "MCP Mode," allowing you to leverage existing MCP-based agents without starting from scratch. We want to remove barriers to innovation, so we are making these tools free! Both the CLI and MCP will be free, with no concurrency limits on the MCP server.

We’re excited to introduce the Unity CLI, our new terminal-native path for connecting coding agents, CI pipelines, and custom tooling to Unity. Unity MCP remains fully supported for your existing setups but to help with the transition, the CLI includes an "MCP Mode," allowing you to leverage existing MCP-based agents without starting from scratch. We want to remove barriers to innovation, so we are making these tools free! Both the CLI and MCP will be free, with no concurrency limits on the MCP server.

Unity

610,547 Aufrufe • vor 1 Monat

Finally (re)launching 🚀 MCPify is like Lovable/Bolt/V0, but for building MCP servers! You just talk to the AI and can create your own MCP server. I built this completely using Cloudflare Developers Cloudflare Workers + Durable Objects + Workers for Platforms

Finally (re)launching 🚀 MCPify is like Lovable/Bolt/V0, but for building MCP servers! You just talk to the AI and can create your own MCP server. I built this completely using Cloudflare Developers Cloudflare Workers + Durable Objects + Workers for Platforms

Bhanu Teja P

101,472 Aufrufe • vor 1 Jahr

Comment “MCP” and I’ll DM you the servers I use every day Browser MCP tests apps for you, Magic MCP builds UI in seconds, and GitMCP links your AI to any repo. These are only 3 of the seven MCPs I use. Once you try them, you’ll never want to build with AI without them.

Comment “MCP” and I’ll DM you the servers I use every day Browser MCP tests apps for you, Magic MCP builds UI in seconds, and GitMCP links your AI to any repo. These are only 3 of the seven MCPs I use. Once you try them, you’ll never want to build with AI without them.

Prajwal Tomar

19,101 Aufrufe • vor 11 Monaten

You are brain-dead if you think the CLI killed MCP. Anthropic just reported 300 million downloads for the MCP SDK (up from 100M at the beginning of the year). The complaint I keep hearing: MCP pollutes your context. That's a 1-year-old argument. Context pollution is not a protocol problem, but a client one. None of the agentic tools you use have that issue: Claude Code, Codex, Cursor, etc. All of them implement progressive disclosure and load MCP tools on demand. MCPs and CLIs complement each other: • MCP offers OAuth-based authentication, standardized transport, remote access for cloud-hosted agents, and a public registry with thousands of servers. • CLIs offer Unix-style composition (pipes, stdin/stdout), zero upfront schema cost, and massive training distribution (models have seen far more shell than any structured tool format). You don't (and shouldn't) pick a side here. You should be using both where they fit.

You are brain-dead if you think the CLI killed MCP. Anthropic just reported 300 million downloads for the MCP SDK (up from 100M at the beginning of the year). The complaint I keep hearing: MCP pollutes your context. That's a 1-year-old argument. Context pollution is not a protocol problem, but a client one. None of the agentic tools you use have that issue: Claude Code, Codex, Cursor, etc. All of them implement progressive disclosure and load MCP tools on demand. MCPs and CLIs complement each other: • MCP offers OAuth-based authentication, standardized transport, remote access for cloud-hosted agents, and a public registry with thousands of servers. • CLIs offer Unix-style composition (pipes, stdin/stdout), zero upfront schema cost, and massive training distribution (models have seen far more shell than any structured tool format). You don't (and shouldn't) pick a side here. You should be using both where they fit.

Santiago

68,884 Aufrufe • vor 4 Monaten

Cline can now create and add tools to himself using MCP! Try asking him to “add a tool that pulls the latest npm docs” - Cline handles everything from creating the MCP server to installing it *into himself*, ready for future tasks. Servers are saved in ~/Documents/Cline/MCP so you can easily share tools with friends!

Cline can now create and add tools to himself using MCP! Try asking him to “add a tool that pulls the latest npm docs” - Cline handles everything from creating the MCP server to installing it into himself, ready for future tasks. Servers are saved in ~/Documents/Cline/MCP so you can easily share tools with friends!

Saoud Rizwan

62,122 Aufrufe • vor 1 Jahr

I'm still picking my jaw off the floor with this MCP update: Postman will now automatically build an MCP server for an API. Automatically! You select your API and the requests you want to include, and Potman will generate a Zip file with everything you need. In collaboration with Postman, I recorded a video showing how I generated an MCP server for the Google Maps API. It's glorious! Also, and before I forget: You can now test any MCP server with your Postman application. They built MCP right in, so now you can: • Connect to an MCP server • List out all of the available tools • Test any of the tools This is a 10x boost for the MCP ecosystem. If you've tried the default MCP debugger, you'll understand how huge a deal it is that you can do all of that from Postman now. Go here to give this a try:

I'm still picking my jaw off the floor with this MCP update: Postman will now automatically build an MCP server for an API. Automatically! You select your API and the requests you want to include, and Potman will generate a Zip file with everything you need. In collaboration with Postman, I recorded a video showing how I generated an MCP server for the Google Maps API. It's glorious! Also, and before I forget: You can now test any MCP server with your Postman application. They built MCP right in, so now you can: • Connect to an MCP server • List out all of the available tools • Test any of the tools This is a 10x boost for the MCP ecosystem. If you've tried the default MCP debugger, you'll understand how huge a deal it is that you can do all of that from Postman now. Go here to give this a try:

Santiago

215,882 Aufrufe • vor 1 Jahr

Today, we're supporting MCP in Flowise! There has been a lot of discussion about MCP lately. From our perspective, MCP is nothing fancy - just tools with third-party APIs or functions, wrapped under a unified protocol that can be consumed by client LLM applications. In fact, we've had something similar for a long time with Langchain Tools. However, MCP offers two key benefits: - Its open protocol isn’t limited to specific frameworks - Client applications (like us, Cursor , @windsurf , etc) can offload the burden of maintaining and updating these tools to the official MCP creators These MCP servers (a.k.a. tools) are provided to the LLM, allowing it to decide when and how to use them. This is sometimes referred to as an "agentic" approach, as opposed to a "deterministic" approach like Zapier, where each step must be explicitly mapped out. In real-world scenarios, you might find yourself needing both approaches depending on the use case. It's still early days, and it will take time for the community to establish standards. We're excited to see where this goes!

Today, we're supporting MCP in Flowise! There has been a lot of discussion about MCP lately. From our perspective, MCP is nothing fancy - just tools with third-party APIs or functions, wrapped under a unified protocol that can be consumed by client LLM applications. In fact, we've had something similar for a long time with Langchain Tools. However, MCP offers two key benefits: - Its open protocol isn’t limited to specific frameworks - Client applications (like us, Cursor , @windsurf , etc) can offload the burden of maintaining and updating these tools to the official MCP creators These MCP servers (a.k.a. tools) are provided to the LLM, allowing it to decide when and how to use them. This is sometimes referred to as an "agentic" approach, as opposed to a "deterministic" approach like Zapier, where each step must be explicitly mapped out. In real-world scenarios, you might find yourself needing both approaches depending on the use case. It's still early days, and it will take time for the community to establish standards. We're excited to see where this goes!

FlowiseAI

27,360 Aufrufe • vor 1 Jahr

MCP is *amazing* and has real staying power. Don’t get the what/why of MCP? Still skeptical? This aims to teach you + change your mind. Watch for my 10min lightning talk that explains MCP in a way that’s easy to understand.

MCP is amazing and has real staying power. Don’t get the what/why of MCP? Still skeptical? This aims to teach you + change your mind. Watch for my 10min lightning talk that explains MCP in a way that’s easy to understand.

Mckay Wrigley

187,385 Aufrufe • vor 1 Jahr

this has been the most requested feature for years now. FlutterFlow MCP is here. you can now bring your agents directly into FlutterFlow and switch between them: Claude Code, Gemini CLI, Codex, or any MCP-compatible client. can’t wait to see what y’all build.

this has been the most requested feature for years now. FlutterFlow MCP is here. you can now bring your agents directly into FlutterFlow and switch between them: Claude Code, Gemini CLI, Codex, or any MCP-compatible client. can’t wait to see what y’all build.

Abel Mengistu

686,521 Aufrufe • vor 4 Monaten

Automate Customer Support entirely with Cursor + MCP!! Cursor Agent can now autonomously fetch emails, solve code issues with codebase indexing and reply to these emails. Here's how you can do it in just 2 mins, - Go to Composio's MCP directory - Click on the Gmail app and copy the sse url for Cursor - Add MCP server in cursor and complete auth - Let Cursor fetch emails, solve issues and reply to the query instantly All you need is

Automate Customer Support entirely with Cursor + MCP!! Cursor Agent can now autonomously fetch emails, solve code issues with codebase indexing and reply to these emails. Here's how you can do it in just 2 mins, - Go to Composio's MCP directory - Click on the Gmail app and copy the sse url for Cursor - Add MCP server in cursor and complete auth - Let Cursor fetch emails, solve issues and reply to the query instantly All you need is

Karan Vaidya

63,866 Aufrufe • vor 1 Jahr

Support for Agent Plugins is live in Cursor (and I made a plugin for searching X!) Agent Plugins combine Skills and MCP servers into a single package Think about them like an Ikea furniture kit: your table comes with instructions, parts, and tools. You use the instructions to understand how things work (which tools on which parts), then use the tools to assemble your furniture Agent Plugins are bundles of tools & resources that allow agents to accomplish a goal: - MCP servers: fixed context and tools - Skills: dynamic instructions, loaded progressively Plugins bundle tools and instructions so your agent is able to use tokens efficiently Many of us already use MCP servers and skills together - Agent Plugins formalize this pattern for more powerful workflows I'm excited to see where the standard takes us!

Support for Agent Plugins is live in Cursor (and I made a plugin for searching X!) Agent Plugins combine Skills and MCP servers into a single package Think about them like an Ikea furniture kit: your table comes with instructions, parts, and tools. You use the instructions to understand how things work (which tools on which parts), then use the tools to assemble your furniture Agent Plugins are bundles of tools & resources that allow agents to accomplish a goal: - MCP servers: fixed context and tools - Skills: dynamic instructions, loaded progressively Plugins bundle tools and instructions so your agent is able to use tokens efficiently Many of us already use MCP servers and skills together - Agent Plugins formalize this pattern for more powerful workflows I'm excited to see where the standard takes us!

matt palmer

39,554 Aufrufe • vor 28 Tagen