Gemini Researcher runs on your own machine — the client starts it, so there is no endpoint to ping. 65 installs a week from npm. Last commit 19 Apr 2026.
Stateless MCP server that proxies research queries to Gemini CLI, reducing agent context/model usage
The author archived this repository on GitHub, meaning it is no longer maintained.
We read the source, 15 min ago · rules 3dff92dd89df
What this server is able to do. For an MCP server this is often the job itself — a terminal server runs commands because that is what it is for. Listed so you know what you are plugging in, not as an accusation.
пакет gemini-researcher ссылается на capybearista/gemini-researcher-mcp
Is this your server and something here is wrong? Tell us — corrections are free and do not require a plan.
We found places where it runs commands, builds paths or queries from values it is given. None of that is a flaw by itself — it becomes one when the code changes, and code changes quietly between releases. We re-read it on every one.
This server runs on your own machine — install it with the package manager and the client starts it for you. Package name taken from the official registry entry.
claude mcp add gemini-researcher -- npx -y gemini-researcher
{
"mcpServers": {
"gemini-researcher": {
"args": [
"-y",
"gemini-researcher"
],
"command": "npx"
}
}
}
[mcp_servers.gemini-researcher]
command = "npx"
args = ["-y", "gemini-researcher"]
{
"mcpServers": {
"gemini-researcher": {
"args": [
"-y",
"gemini-researcher"
],
"command": "npx"
}
}
}
{
"mcpServers": {
"gemini-researcher": {
"args": [
"-y",
"gemini-researcher"
],
"command": "npx"
}
}
}
This one needs environment variables set before it will start:
GEMINI_API_KEY (Gemini API key (optional if you already authenticated Gemini CLI via "gemini" login)), PROJECT_ROOT (Override the project root directory used for path validation (defaults to current working directory)), RESPONSE_CHUNK_SIZE_KB (Chunk size threshold (KB) for large responses (default: 10)), CACHE_TTL_MS (Chunk cache TTL in milliseconds (default: 3600000 / 1 hour)), DEBUG (Enable debug logging (set to "true" or "1")), GOOGLE_APPLICATION_CREDENTIALS (Vertex AI / Google auth: path to a service account JSON credentials file), GOOGLE_CLOUD_PROJECT (Vertex AI / Google auth: GCP project ID (used by some auth configurations)), VERTEX_AI_PROJECT (Vertex AI / Google auth: Vertex AI project identifier (used by some auth configurations)).
The author declared them in the registry entry; get the values from the project itself.
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