Deploy an MCP server

Gram automatically exposes each of your toolsets as a hosted MCP server. You don’t need to manage infrastructure, scaling, or versioning.

Here are the steps to deploy an MCP server using Gram:

Generate a Gram API key

In Settings, click Create API Key.
Give the API key a name, and click Create.

Creating an API key

Get the MCP server configuration

In the Playground, click the MCP tab.

MCP server configuration

Click MCP Config to view the server configuration.

MCP server configuration

Configure an MCP client

Copy the MCP server configuration from Gram. Here’s an example of what it looks like:

{
    "mcpServers": {
      "GramShoudipush": {
        "command": "npx",
        "args": [
          "mcp-remote",
          "https://app.getgram.ai/mcp/default/shoud-i-push/default",
          "--header",
          "Authorization: ${GRAM_KEY}"
        ],
        "env": {
          "GRAM_KEY": "Bearer <your-key-here>"
        }
      }
    }
}

Replace <your-key-here> with your Gram API key.
Add this configuration to the MCP client’s configuration file.

Next steps

Your MCP server is now live. Here are some next steps to consider:

Iterate on tool descriptions: Refine tool definitions and use tool variations to help LLMs better understand and invoke them accurately.
Create custom toolsets: Group tools by task to design structured, step-by-step workflows tailored to specific use cases.
Integrate with frameworks: Use the Gram Python or TypeScript SDK to build agentic workflows. On the Playground page, you can select a ready-to-use code snippet in Python or JavaScript.

Troubleshooting

Common MCP server issues and fixes:

Tools not working?

Check your authentication configuration.
Verify your server URL is accessible.

Wrong tools being selected?

Reduce the number of tools in your toolset.
Use custom tools to create workflows with precise steps.
Create focused toolsets for different use cases.