Search IPCC AR6 WG1 and answer with page-level citations, or refuse when unsupported.
IPCC AR6 Climate Retrieval is an MCP integration. Search IPCC AR6 WG1 and answer with page-level citations, or refuse when unsupported.
The published oci package is ghcr.io/aswanisahoo/climate-ipcc-rag-mcp:0.1.0. Its declared MCP transport is stdio.
The package declares GEMINI_API_KEY: AI Studio API key. Either this or the Vertex variables must be set: retrieval is hybrid, so the dense half embeds every query.; GOOGLE_GENAI_USE_VERTEXAI: Set to "true" to authenticate through Vertex AI with Application Default Credentials instead of an API key.; GOOGLE_CLOUD_PROJECT: Google Cloud project id. Required when GOOGLE_GENAI_USE_VERTEXAI is true..
Check the maintainer’s instructions for account access, authentication and the supported client configuration. Once connected, inspect the tools your client receives and try a small task that matches the server’s stated purpose. The registry description does not include a verified, complete tool list.
View the publisher’s registry entry · Project repository. This profile uses version 0.1.0 from the registry. Registration identifies the publisher namespace; it does not establish that this is a first-party integration for every service it connects.
Browse related other integrations MCP servers for tools that cover the same kind of work.
| Variable | Description | Required |
|---|---|---|
| GEMINI_API_KEY | AI Studio API key. Either this or the Vertex variables must be set: retrieval is hybrid, so the dense half embeds every query. | Optional |
| GOOGLE_GENAI_USE_VERTEXAI | Set to "true" to authenticate through Vertex AI with Application Default Credentials instead of an API key. | Optional |
| GOOGLE_CLOUD_PROJECT | Google Cloud project id. Required when GOOGLE_GENAI_USE_VERTEXAI is true. | Optional |
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