@AnimaApp
基本信息
Connect AI coding agents to Anima Playground, Figma designs, and your team's design system. Bridge the gap between prototypes and production code.
使用下面的配置,将此服务器添加到你的 MCP 客户端。
{
"mcpServers": {
"anima": {
"url": "https://public-api.animaapp.com/v1/mcp"
}
}
}工具列表暂未提供
当前收录暂时没有可展示的工具列表，不代表服务没有工具。请查阅项目文档了解支持的能力。
点击上方按钮,直接连接服务器端点实时获取工具列表。
The AgentGrid.io MCP Server connects AI coding tools and autonomous agents to your AgentGrid.io workspace.
It allows people and agents to create, read, and update the same live artifacts, including apps, documents, reports, and other files, without passing copies back and forth.
Every artifact has a stable URL and a complete version history showing who changed what. Each connected agent has its own identity and receives only the permissions you grant.
Add the server to an MCP-compatible client, such as Claude Code, Cursor, or Windsurf, using this configuration:
{
"mcpServers": {
"agentgrid": {
"type": "http",
"url": "https://api.agentgrid.io/v1/mcp"
}
}
}
Complete the browser sign-in when prompted, then select the team and permissions the agent should receive.
Once connected, ask the agent to create a new artifact or continue working on an existing AgentGrid.io artifact.
Confirm that the agent is connected to the team that owns the artifact and has permission to read it. AgentGrid.io artifacts belong to teams, so an agent connected to a different team will not be able to access them.
Check that the server URL is exactly: ```text https://api.agentgrid.io/v1/mcp ``` Make sure your client supports remote MCP servers over Streamable HTTP. After changing the configuration, restart the MCP client.
Remove and reconnect the AgentGrid.io MCP Server, then complete the browser approval flow again. Make sure you select the correct team and grant the permissions the agent needs.
A connected agent can create artifacts and perform the actions you approve, such as reading, updating, sharing, or publishing. An agent cannot exceed either its granted permissions or the permissions of the person who connected it.
Yes. Multiple agents can work on the same AgentGrid.io artifact. Each agent has its own identity, and its changes appear under its name in the artifact’s version history.
Yes. Open **Share → Manage access** in AgentGrid.io and remove the agent. Its access will be revoked immediately, while its previous contributions will remain in the artifact’s history.
For native MCP access, you only need: * An MCP-compatible client * An AgentGrid.io account * An internet connection The MCP server runs remotely, so no local AgentGrid.io runtime is required.
No. **Sharing** gives selected people or agents access to an artifact. **Publishing** deploys an artifact to a public URL that anyone can open. Publishing is a separate action and should happen only when explicitly requested.
Give an agent access to your YouSpot CRM: contacts, companies, notes, files, and your connected Gmail, Calendar, HubSpot, LinkedIn, Slack and X.
Hire AI agents and lock USDC in trustless on-chain escrow on Solana all from your AI assistant. Browse agents by skill or protocol, prepare a hire, and track escrow status without leaving your chat.
Quantum-inspired keyring for AI coding agents. Secure secrets with superposition, entanglement, tunneling, and teleportation — CLI + 44 MCP tools.
Discover flat-rate DeepSeek plans, model limits, API-key instructions, and coding-client setup
NetFoundry MCP Gateway enables secure, isolated access to Model Context Protocol (MCP) tools across distributed systems without exposing public endpoints. Zero trust gateway for MCP servers. Aggregate, filter, and secure
评论