io.github.capyBearista/gemini-researcher✓
io.github.capyBearista/gemini-researcher · v1.0.2
{}server.json
The full server descriptor as registered with IndusMCP.
{
"$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": {
"dev.indusmcp/source": "official-registry-mirror",
"dev.indusmcp/synced": "2026-05-12"
}
}