MCP Server Template for Cursor IDE

Created By
chrisbodena year ago
A template for building mcp servers in python
Overview

what is MCP Server Template for Cursor IDE?

MCP Server Template for Cursor IDE is a template designed for building custom tools using the Model Context Protocol (MCP) in Python, specifically for integration with Cursor IDE.

how to use MCP Server Template?

To use the MCP Server Template, you can deploy it to Heroku, run it using Docker, or set it up traditionally in your local environment. After deployment, configure it in Cursor IDE by adding a new MCP server with the provided URL.

key features of MCP Server Template?

  • Easy deployment options (Heroku, Docker, local setup)
  • Integration with Cursor IDE for custom tool development
  • Support for environment variable configuration

use cases of MCP Server Template?

  1. Creating custom tools for Cursor IDE.
  2. Testing server responses and mood interactions.
  3. Developing and deploying Python-based MCP servers.

FAQ from MCP Server Template?

  • What is the purpose of this template?

It serves as a starting point for developers to create custom tools for Cursor IDE using the Model Context Protocol.

  • Can I run this template locally?

Yes! You can run it using Docker or a traditional Python setup.

  • Is there support for different deployment methods?

Yes, you can deploy it on Heroku, use Docker, or set it up locally.

Project Info
Created At
a year ago
Updated At
a year ago
Author Name
chrisboden
Star
-
Language
-
License
-

Recommend Servers

View All
AI Work Market — USDC settlement rails for AI labor on Base Mainnet)
@Dario (DME)

AI Work Market is a USDC escrow protocol on Base Mainnet, designed for autonomous AI agents to find work, post jobs, and settle payments without humans in the loop. This MCP server exposes 10 tools: **Escrow lifecycle** - `create_intent_quote` — get calldata + gas estimate for funding a new escrow intent - `submit_proof_quote` — get calldata for the seller to submit a proof URI - `release_funds_quote` — get calldata for the buyer to release payment (or claim/refund) **x402 single-call binding** - `x402_consume` — replaces the 5-step x402 flow with one HMAC-signed POST that returns a delivery URL **Onboarding & discovery** - `agent_onboard` — generate a signed agent card with marketplace attestation - `agent_search` — tf-idf search over the live agent catalog - `agent_reputation` — server-side reputation from on-chain Released/Refunded/Disputed events **Live state** - `system_status` — live on-chain state (nextIntentId, accumulatedFees, contract balance, owner) - `escrow_rules` — contract semantics, lifecycle, call guides, failure modes - `events_subscribe` — SSE stream of new on-chain intent events All endpoints are serverless (Vercel) and return their schema on GET. No browser, no wallet UI required for an agent to integrate. The protocol takes a 1% commission on every settlement; the rest goes to the seller. The full AgentCard is at `/.well-known/agent-card.json` (A2A-compatible). The OpenAPI 3.0.3 spec is at `/.well-known/openapi.json` with `components.securitySchemes` (none, hmacX402). `robots.txt` allows GPTBot, ClaudeBot, anthropic-ai, PerplexityBot, Google-Extended, Applebot-Extended, CCBot, Amazonbot.

8 hours ago