TypeScript MCP Sample Server
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@TypeScript MCP Sample Servergenerate a completion using gpt-4 with the prompt 'Write a function to calculate factorial'"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
Sample
This is a Typescript sample for an MCP Server
Here's a tool creation example:
this.mcpServer.tool(
'completion',
{
model: z.string(),
prompt: z.string(),
options: z.object({
temperature: z.number().optional(),
max_tokens: z.number().optional(),
stream: z.boolean().optional()
}).optional()
},
async ({ model, prompt, options }) => {
console.log(`Processing completion request for model: ${model}`);
// Validate model
if (!this.models.includes(model)) {
throw new Error(`Model ${model} not supported`);
}
// Emit event for monitoring/metrics
this.events.emit('request', {
type: 'completion',
model,
timestamp: new Date()
});
// In a real implementation, this would call an AI model
// Here we just echo back parts of the request with a mock response
const response = {
id: `mcp-resp-${Date.now()}`,
model,
text: `This is a response to: ${prompt.substring(0, 30)}...`,
usage: {
promptTokens: prompt.split(' ').length,
completionTokens: 20,
totalTokens: prompt.split(' ').length + 20
}
};
// Simulate network delay
await new Promise(resolve => setTimeout(resolve, 500));
// Emit completion event
this.events.emit('completion', {
model,
timestamp: new Date()
});
return {
content: [
{
type: 'text',
text: JSON.stringify(response)
}
]
};
}
);Install
Run the following command:
npm installRun
npm startResources
Unclaimed servers have limited discoverability.
Looking for Admin?
If you are the server author, to access and configure the admin panel.
Tools
Latest Blog Posts
MCP directory API
We provide all the information about MCP servers via our MCP API.
curl -X GET 'https://glama.ai/api/mcp/v1/servers/haneefdm/mymcp'
If you have feedback or need assistance with the MCP directory API, please join our Discord server