Climate vs Atlassian MCP Server

A side-by-side look at the Climate and Atlassian MCP Server MCP servers: transport, auth, tools, quality signals, and the config to install either one in Claude, Cursor, Windsurf or VS Code.

Climate logoClimateEnvironment & Nature · Local subprocess (stdio)Climate MCP — wraps Open-Meteo Climate API (free, no auth)57GoodAuth: not declaredAtlassian MCP Server logoAtlassian MCP ServerVersion Control · Remote HTTP/SSEOfficial remote MCP server for Atlassian. Securely connect Jira, Confluence, Jira Service Management, Bitbucket, and Compass to Claude, ChatGPT, Cursor, VS Code, and other AI tools using OAuth 2.1 or API tokens.80ExcellentAuth: other

Verdict: choose Climate for environment & nature work as a local process; choose Atlassian MCP Server for version control over a hosted endpoint. You can also run both side by side in one mcpServers block.

Which MCP server should you choose?

Climate logoChoose Climate when

  • You need dedicated capabilities in the Environment & Nature domain.
  • You prefer a local stdio subprocess transport.
  • You want tools like get_climate_projection, compare_models.
Explore Climate

Atlassian MCP Server logoChoose Atlassian MCP Server when

  • You need dedicated capabilities in the Version Control domain.
  • You prefer a remote HTTP/SSE transport.
  • Its auth model fits you: other.
Explore Atlassian MCP Server

Feature & specification comparison

Rows where the two servers differ are marked.

SpecClimate logoClimateAtlassian MCP Server logoAtlassian MCP Server
CategoryEnvironment & NatureVersion Control
Quality signal57/100 · Good80/100 · Excellent
Install commandConfirmedConfirmed
TransportLocal subprocess (stdio)Remote HTTP/SSE
AuthNot declaredother
PricingNot declaredFree
Required env varsNone listedNone listed
Verified ownerCommunity listing Verified
GitHub stars01,121
Directory activity 2 views 0 installs 0 upvotes 9 views 0 installs 1 upvotes
Tools2Not listed

Tools & capabilities

Climate tools 2

  • get_climate_projectionGet historical and future temperature and precipitation projections for a location (1950–2050). Returns daily forecasts with temperature, precipitation, and weather conditions.
  • compare_modelsCompare temperature projections across climate models for the same location and date range. Returns side-by-side daily mean temperatures to assess model agreement and uncertainty.

Atlassian MCP Server tools

No tool names declared yet. Check the project README from the listing page.

Ready-to-paste client configs

Paste either block (or both) into your client config, e.g. claude_desktop_config.json or ~/.cursor/mcp.json. We only show a config when the install command is confirmed.

Climate

mcpServers (Claude Desktop / Cursor)
{
  "mcpServers": {
    "climate": {
      "command": "npx",
      "args": [
        "-y",
        "@pipeworx/mcp-climate"
      ]
    }
  }
}

Atlassian MCP Server

mcpServers (Claude Desktop / Cursor)
{
  "mcpServers": {
    "atlassian-mcp-server": {
      "url": "https://mcp.atlassian.com/v2/mcp"
    }
  }
}

Frequently asked questions

Climate is categorized under Environment & Nature and uses a local stdio subprocess. Atlassian MCP Server belongs to Version Control and uses a remote HTTP/SSE transport. Pick Climate for environment & nature work and Atlassian MCP Server for version control.

Copy the mcpServers block from the config section on this page into your client's config (for example claude_desktop_config.json or ~/.cursor/mcp.json), then fully restart the client.

Climate has no declared pricing — check the project's own site. Atlassian MCP Server is listed as free. Auth: other. If a server needs environment variables such as API keys, define them under the env key in your client's MCP config.

Yes. MCP clients support multiple servers: add climate and atlassian-mcp-server as separate keys in the same mcpServers object, and your assistant will call tools from either one.

On AllMCPs, Climate has a quality signal of 57/100 (Good) with 2 views, 0 installs and 0 GitHub stars. Atlassian MCP Server has 80/100 (Excellent) with 9 views, 0 installs and 1,121 GitHub stars.