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What is MCP?

Model Context Protocol (MCP) is an open standard that lets AI models use external tools and data sources. Each MCP server exposes tools the AI can call — read files, query databases, send messages, and more. EnConvo has built-in MCP support. Add an MCP server and the AI can use its tools automatically.

Setting Up MCP Servers

From Settings UI

  1. Open SettingsMCP Servers
  2. Click Add Server
  3. Choose transport type (stdio or HTTP), fill in the configuration
  4. Toggle the switch to enable/disable

Via CLI

Import from Other Tools

If you have MCP configs from Claude Desktop, Cursor, or other tools:
  1. In SettingsMCP Servers, click Import
  2. Paste your JSON configuration
  3. Click Import to add all servers
MCP servers can be installed with EnConvo deeplinks. It uses the same format as mcp.json with a name and transport configuration. Install links:
The web page auto-launches the enconvo:// deeplink and shows the server configuration as fallback.
  1. Get name and JSON configuration of server
  2. JSON.stringify the configuration then base64 encode it
  3. Replace $NAME and $BASE64_ENCODED_CONFIG with the name and encoded config

Example

Try this JSON in the MCP install link generator:
Single MCP server config
Result: Badge code for your README:

Install server

  1. Click the link or paste into browser
  2. EnConvo opens the MCP Servers settings pane
  3. The server is added and starts connecting automatically
  4. Once connected, its tools are available to the AI

Troubleshooting

  • Verify the command and arguments in your configuration
  • For stdio servers, ensure the binary is installed and in your PATH
  • For Node.js servers, ensure npx or node is available
  • Confirm the server is in Connected status
  • Some servers require API keys before exposing tools
  • Try disconnecting and reconnecting the server
  • Verify API keys are correct and not expired
  • Check that required environment variables are set
For the full MCP specification, visit modelcontextprotocol.io.