MCP Servers

surfline-mcp

A minimal Python MCP server that provides surf forecasts for a single Surfline spot. It fetches both conditions and rating data through the get_surf_forecast tool.

README

surfline-mcp

Minimal Python MCP server with one tool: get_surf_forecast.

It fetches both Surfline forecast endpoints:

conditions
rating

The spot is fixed by environment variable (SURFLINE_SPOT_ID) so this server is effectively single-spot.

Setup

cd surfline-mcp
uv sync

Run (stdio MCP server)

cd surfline-mcp
export SURFLINE_SPOT_ID=5842041f4e65fad6a7708852
uv run surfline-mcp

Run via uvx (from GitHub)

export SURFLINE_SPOT_ID=5842041f4e65fad6a7708852
uvx --from git+https://github.com/ivoytov/surfline-mcp surfline-mcp

Nanobot MCP config (uvx)

{
  "tools": {
    "mcpServers": {
      "surfline": {
        "command": "uvx",
        "args": ["--from", "git+https://github.com/ivoytov/surfline-mcp", "surfline-mcp"],
        "env": {
          "SURFLINE_SPOT_ID": "5842041f4e65fad6a7708852"
        }
      }
    }
  }
}

Tool

get_surf_forecast(days=3)

Returns:

spot_id
days
daily_forecast[] with:
- forecastDay
- dayToWatch
- headline
- observation
- rating_summary.dominant_key
- rating_summary.min_value
- rating_summary.max_value
- rating_summary.avg_value
- rating_windows[] as compact 3-hour snapshots:
  - local_hour
  - key
  - value

Recommended Servers

playwright-mcp

A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.

Official

Featured

TypeScript

Magic Component Platform (MCP)

An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.

Audiense Insights MCP Server

Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.

VeyraX MCP

Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.

Official

Featured

Local

graphlit-mcp-server

The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.

Official

Featured

TypeScript

Kagi MCP Server

An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.

Official

Featured

Python

E2B

Using MCP to run code via e2b.

Official

Featured

Neon Database

MCP server for interacting with Neon Management API and databases

Official

Featured

Exa Search

A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.

Official

Featured

Qdrant Server

This repository is an example of how to create a MCP server for Qdrant, a vector search engine.

Official

Featured