Developer tools · MCP server
Adaptive cards MCP: MCP server, setup and security
Adaptive cards MCP is an open-source MCP server that lets an AI agent generate and validate accessible Adaptive Cards for multiple host platforms. Its repository has 33 stars and its last commit is from June 20, 2026 and it is licensed under MIT.
What Adaptive cards MCP does
According to its repository: “Generate, validate, optimize and transform Adaptive Cards for Teams, Outlook, Copilot and ChatGPT, with accessibility scoring and host compatibility checks.”
An MCP server gives an AI agent extra tools it calls during the conversation: the agent reads their description, decides to use them and gets the result back. Adaptive cards MCP is listed under Developer tools, a category of 475 servers in the directory, where it ranks #296 by stars.
Topics declared by the repository: adaptive-cards, bot-framework, card-generator, claude, copilot, cursor.
Installing and connecting Adaptive cards MCP
Distribution modes declared in the official MCP registry:
- npm package (Node.js, usually started with
npx)
Like any MCP server, you declare it in your client's configuration (Claude Desktop, Claude Code, Cursor, VS Code, Codex…): a name, the command that starts it or its URL, and any environment variables. The client then starts it and lists its tools. Project language: TypeScript. Listed systems: macOS, Windows, Linux.
Security: what to check
An MCP server runs code with the rights you give it, and the model reads its tool descriptions: a malicious or compromised server can hijack the agent. Read the code, or pick a maintained and widely used server, before connecting it.
None of the risk signals we track (system access, secrets, missing licence, abandonment) applies to Adaptive cards MCP. That does not replace reading the code.
Good practice: grant only the rights needed (least privilege), require human approval for irreversible actions, and run the AI agent security check.
Project activity and maintenance
Created on March 15, 2026, the VikrantSingh01/adaptive-cards-mcp repository has 33 stars and 7 forks, with 2 open issues. It has more stars than 46% of the servers in the directory. Last change 4 months ago. Version published in the registry: 2.3.0 (March 18, 2026).
Stars measure attention, not quality: a recent, heavily promoted project can collect them fast, while a useful but niche server will have few.
Verdict
Adaptive cards MCP is a reasonable choice; check the points below before connecting it.
Strengths
- Listed in the official MCP registry
- Permissive licence (MIT)
Alternatives
- Radar Kubernetes MCP Server3.9K ★
- Repowise7.9K ★
- Jscpd6.4K ★
- Apify MCP server12.9K ★
- Codebase Memory47.4K ★
- PostHog MCP Server40.4K ★
Learn more
Frequently asked questions
How do I install Adaptive cards MCP?
Adaptive cards MCP is distributed as npm package (Node.js, usually started with npx). Add it to your client's MCP configuration (Claude Desktop, Cursor, VS Code…) following the README of VikrantSingh01/adaptive-cards-mcp.
Is Adaptive cards MCP free?
The code is published under the MIT licence and can be used free of charge.
Is Adaptive cards MCP safe?
No risk signal found (system access, secrets, licence, abandonment). As with any MCP server, keep rights minimal and read the code before sensitive use.
Is it an official server?
Nothing says so: it is a project published by VikrantSingh01 on GitHub. Check who maintains it before giving it access.
What are the alternatives to Adaptive cards MCP?
In the same category: Radar Kubernetes MCP Server, Repowise, Jscpd, and Apify MCP server. Radar Kubernetes MCP Server and Repowise score higher on our grid.
Related articles
- Build your own MCP server in 30 minutesOctober 24, 2026
- Automate your inbox with an AI agentOctober 18, 2026
- MCP, A2A, and tool calling: agent protocols explainedOctober 17, 2026
- Build an AI agent with n8n, without codingOctober 16, 2026
Neutrality. No affiliate links. No vendor pays to be reviewed, rated or ranked. Reviews are directed by François Chollet, neutral and factual, and every data point is dated and sourced. How we score