Stateless MCP server that proxies research queries to Gemini CLI, reducing agent context/model usage
What it says
The record the registry holds
How you get it
There is no address to call. This one is a package you install and run yourself, wherever your assistant runs.
gemini-researcher · npm · 1.0.2
the recordCopied from the official MCP registry, exactly as it holds it.
{
"server": {
"$schema": "https://static.modelcontextprotocol.io/schemas/2025-12-11/server.schema.json",
"name": "io.github.capyBearista/gemini-researcher",
"description": "Stateless MCP server that proxies research queries to Gemini CLI, reducing agent context/model usage",
"repository": {
"url": "https://github.com/capyBearista/gemini-researcher",
"source": "github"
},
"version": "1.0.2",
"packages": [
{
"registryType": "npm",
"identifier": "gemini-researcher",
"version": "1.0.2",
"transport": {
"type": "stdio"
},
"environmentVariables": [
{
"description": "Gemini API key (optional if you already authenticated Gemini CLI via \"gemini\" login)",
"format": "string",
"isSecret": true,
"name": "GEMINI_API_KEY"
},
{
"description": "Override the project root directory used for path validation (defaults to current working directory)",
"format": "string",
"name": "PROJECT_ROOT"
},
{
"description": "Chunk size threshold (KB) for large responses (default: 10)",
"format": "string",
"name": "RESPONSE_CHUNK_SIZE_KB"
},
{
"description": "Chunk cache TTL in milliseconds (default: 3600000 / 1 hour)",
"format": "string",
"name": "CACHE_TTL_MS"
},
{
"description": "Enable debug logging (set to \"true\" or \"1\")",
"format": "string",
"name": "DEBUG"
},
{
"description": "Vertex AI / Google auth: path to a service account JSON credentials file",
"format": "string",
"name": "GOOGLE_APPLICATION_CREDENTIALS"
},
{
"description": "Vertex AI / Google auth: GCP project ID (used by some auth configurations)",
"format": "string",
"name": "GOOGLE_CLOUD_PROJECT"
},
{
"description": "Vertex AI / Google auth: Vertex AI project identifier (used by some auth configurations)",
"format": "string",
"name": "VERTEX_AI_PROJECT"
}
]
}
]
},
"_meta": {
"io.modelcontextprotocol.registry/official": {
"status": "active",
"statusChangedAt": "2026-01-26T08:42:27.90453Z",
"publishedAt": "2026-01-26T08:42:27.90453Z",
"updatedAt": "2026-01-26T08:42:27.90453Z",
"isLatest": true
}
}
}
Make it installable
Draft an Agent Plugin from this
An MCP server is raw capability: some tools, wired to something. An Agent Plugin is the packaging that says what job it does, what it leaves behind and where it stops. The prompt below carries this record and asks for the packaging; your own assistant writes it, and nothing here is sent anywhere.
What this is
MCP server
application/mcp-server-record+jsonlocal · you run it yourselfversion 1.0.2last seen 2026-08-23
These are the publisher's own words, filed by them with the official MCP registry and mirrored here. This catalog did not read them from the publisher and has not run, called or installed anything.