google-drive-rag-mcp
Server Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
| TARGET_FOLDER_IDS | Yes | Comma-separated list of Google Drive folder IDs to scope access to. | |
| GOOGLE_APPLICATION_CREDENTIALS | Yes | Path to the Google service account JSON key file. |
Instructions
Guidance the server publishes about itself, which clients place ahead of the tool catalog so the model reads it before choosing anything.
This server publishes no instructions, or was last inspected before Glama recorded them.
Capabilities
Features and capabilities supported by this server
Protocol revision2025-11-25
| Capability | Details |
|---|---|
| tools | {
"listChanged": true
} |
| logging | {} |
| prompts | {
"listChanged": false
} |
| resources | {
"subscribe": false,
"listChanged": false
} |
| extensions | {
"io.modelcontextprotocol/ui": {}
} |
| experimental | {} |
Tools
Functions exposed to the LLM to take actions
| Name | Description |
|---|---|
| list_filesA | List files in the target Google Drive folders. Use this to discover files before reading them. Returns a JSON array of objects with 'id', 'name', and 'mimeType'. Pass the 'id' to read_file to retrieve file contents. |
| list_foldersA | List subfolders within the target Google Drive folders. Use this before list_files when you need to scope a search to a specific subfolder. Returns a JSON array of objects with 'id' and 'name'. Pass a folder 'id' to list_files as folder_id to narrow the search scope. |
| read_fileA | Read and return the full text content of a file in the target Google Drive folder. Typical workflow: call list_files to find the file and obtain its 'id', then pass that id here. |
| search_contentA | Search for a keyword or phrase within the content of files in the target Google Drive folders. Unlike list_files (which filters by filename), this tool searches inside file contents and returns matching files with a surrounding context snippet. Typical workflow: use this to find which files mention a topic, then call read_file on specific files for the full content. |
Prompts
Interactive templates invoked by user choice
| Name | Description |
|---|---|
No prompts | |
Resources
Contextual data attached and managed by the client
| Name | Description |
|---|---|
No resources | |
Latest Blog Posts
- Who's Calling? MCP Hosts Are an Identity Blind Spot (And the Spec Knows It)By Om-Shree-0709 on .mcpAgent IdentityOAuth 2.1
- Your AI Chatbot Just Exposed Your CEO's Salary to an InternBy Om-Shree-0709 on .Agent IdentityMCP SecurityOAuth Delegation
- Why MCP Servers Need Execution Sandboxing (And Why Your Current Stack Isn't Enough)By Om-Shree-0709 on .Agentic AiPrompt InjectionWebAssembly
MCP directory API
We provide all the information about MCP servers via our MCP API.
curl -X GET 'https://glama.ai/api/mcp/v1/servers/asamiile/google-drive-rag-mcp'
If you have feedback or need assistance with the MCP directory API, please join our Discord server