airbyte.mcp
Airbyte Replication MCP Server - Model Context Protocol Integration
NOTE: This MCP server implementation is experimental and may change without notice between minor versions of PyAirbyte. The API may be modified or entirely refactored in future versions.
The Airbyte Replication MCP (Model Context Protocol) server provides a standardized interface for managing Airbyte connectors through MCP-compatible clients. This PyAirbyte-powered experimental feature allows you to list connectors, validate configurations, and run sync operations using the MCP protocol.
Getting Started with Airbyte Replication MCP
To get started with the Airbyte Replication MCP server, follow these steps:
- Create a Dotenv secrets file.
- Register the MCP server with your MCP client.
- Test the MCP server connection using your MCP client.
Step 1: Generate a Dotenv Secrets File
To get started with the Airbyte Replication MCP server, you will need to create a dotenv file containing your Airbyte Cloud credentials, as well as credentials for any third-party services you wish to connect to via Airbyte.
Create a file named ~/.mcp/airbyte_mcp.env with the following content:
# Airbyte Project Artifacts Directory
AIRBYTE_PROJECT_DIR=/path/to/any/writeable/project-dir
# Airbyte Cloud Credentials (Required for Airbyte Cloud Operations)
AIRBYTE_CLOUD_CLIENT_ID=your_api_key
AIRBYTE_CLOUD_CLIENT_SECRET=your_api_secret
AIRBYTE_CLOUD_WORKSPACE_ID=your_workspace_id
# API-Specific Credentials (Optional, depending on your connectors)
# For example, for a PostgreSQL source connector:
# POSTGRES_HOST=your_postgres_host
# POSTGRES_PORT=5432
# POSTGRES_DB=your_database_name
# POSTGRES_USER=your_database_user
# POSTGRES_PASSWORD=your_database_password
# For example, for a Stripe source connector:
# STRIPE_API_KEY=your_stripe_api_key
# STRIPE_API_SECRET=your_stripe_api_secret
# STRIPE_WEBHOOK_SECRET=your_stripe_webhook_secret
Note:
- You can add more environment variables to this file as needed for different connectors. To start, you only need to create the file and pass it to the MCP server.
- Ensure that this file is kept secure, as it contains sensitive information. Your LLM should never be given direct access to this file or its contents.
- The MCP tools will give your LLM the ability to view which variables are available, but it does not give access to their values.
- The
AIRBYTE_PROJECT_DIRvariable specifies a directory where the MCP server can store temporary project files. Ensure this directory is writable by the user running the MCP server.
Step 2: Registering the MCP Server
First install uv (brew install uv).
Then, create a file named server_config.json (or the file name required by your MCP client)
with the following content. This uses uvx (from brew install uv) to run the MCP
server. If a matching version Python is not yet installed, a uv-managed Python
version will be installed automatically. This will also auto-update to use the
"latest" Airbyte MCP release at time of launch. You can alternatively pin to a
specific version of Python and/or of the Airbyte library if you have special
requirements.
{
"mcpServers": {
"airbyte": {
"command": "uvx",
"args": [
"--python=3.11",
"--from=airbyte@latest",
"airbyte-mcp"
],
"env": {
"AIRBYTE_MCP_ENV_FILE": "/path/to/my/.mcp/airbyte_mcp.env",
"AIRBYTE_CLOUD_MCP_SAFE_MODE": "1",
"AIRBYTE_CLOUD_MCP_READONLY_MODE": "0"
}
}
}
}
Note:
- Replace
/path/to/my/.mcp/airbyte_mcp.envwith the absolute path to your dotenv file created in Step 1.
Step 3: Testing the MCP Server Connection
You can test the MCP server connection using your MCP client.
Helpful prompts to try:
- "Use your MCP tools to list all available Airbyte connectors."
- "Use your MCP tools to get information about the Airbyte Stripe connector."
- "Use your MCP tools to list all variables you have access to in the dotenv secrets file."
- "Use your MCP tools to check your connection to your Airbyte Cloud workspace."
- "Use your MCP tools to list all available destinations in my Airbyte Cloud workspace."
Airbyte Cloud MCP Server Safety
The Airbyte Replication MCP server supports environment variables to control safety and access levels for Airbyte Cloud operations.
Important: The below settings only affect Cloud operations; local operations are not affected.
Airbyte Cloud Safe Mode
Safe mode is enabled by default and is controlled by the AIRBYTE_CLOUD_MCP_SAFE_MODE environment
variable.
When enabled, write operations are allowed but destructive operations (updates, deletions) are only allowed for objects created within the same session. For example, you can create a new connector and then delete it, but you cannot delete an existing connector that was not created in the current session. Modifications to configurations are likewise treated as potentially destructive and are only allowed for objects created in the current session.
Set the environment variable AIRBYTE_CLOUD_MCP_SAFE_MODE=0 to disable safe mode.
Airbyte Cloud Read-Only Mode
Read-only mode is not enabled by default and is controlled by the
AIRBYTE_CLOUD_MCP_READONLY_MODE environment variable.
When enabled, only read-only Cloud tools are available. Write and destructive operations are disabled.
This mode does allow running syncs on existing connectors, since sync operations are not considered to be modifications of the Airbyte Cloud workspace.
Set the environment variable AIRBYTE_CLOUD_MCP_READONLY_MODE=1 to enable read-only mode.
Authentication for Remote (HTTP) Servers
The steps above run the MCP server over stdio — the client launches the server process locally, so there is no transport-layer auth and the only credentials that matter are your Airbyte Cloud creds in the dotenv file.
When the server is instead exposed over HTTP (airbyte-mcp-http /
poe mcp-serve-http), transport auth verifies an Authorization: Bearer
<token> on every request once it is configured. Auth is driven entirely by the
AIRBYTE_MCP_* env values a deployment sets — the hosted Airbyte Cloud MCP
deployment supplies its realm's values, and a self-hosted deployment supplies
its own. Two client shapes are supported on the same deployment (combined
automatically when both are configured):
Humans → interactive OIDC
Set AIRBYTE_MCP_OIDC_CLIENT_ID, AIRBYTE_MCP_OIDC_CLIENT_SECRET, and
AIRBYTE_MCP_OIDC_CONFIG_URL (the OIDC discovery URL). Interactive clients open
a browser (Keycloak Authorization Code + PKCE) and the resulting token is
verified by the server. No bearer token to manage by hand.
Machines / agents → headless bearer token
There is no transport mode that accepts a raw client_id + client_secret
in a header. A headless agent mints its own short-lived bearer token and
sends it as Authorization: Bearer <token>; the server verifies the signature
(no browser, no stored/rotating refresh token).
The server verifies tokens against whatever realm the deployment configures via
the AIRBYTE_MCP_AUTH_* env values below. Against the hosted Airbyte Cloud MCP
(configured for Airbyte Cloud's application-client realm), the agent mints an
Airbyte Cloud access token from its
AIRBYTE_CLOUD_CLIENT_ID / AIRBYTE_CLOUD_CLIENT_SECRET (the
https://api.airbyte.com/v1/applications/token endpoint) and sends it as the
bearer. That single token both authenticates transport (verified by the server)
and authorizes downstream Cloud API calls, because an Airbyte-Cloud-issued token
is itself a valid Cloud API bearer. Tokens are short-lived (~15 min), so
re-mint on expiry / on a 401 rather than pinning a static token.
Clients that support HTTP transports can pass the token via a headers block in
their MCP config:
{
"mcpServers": {
"airbyte": {
"url": "https://<host>/mcp",
"headers": {
"Authorization": "Bearer ${AIRBYTE_MCP_TOKEN}"
}
}
}
}
Server environment variables (HTTP mode)
The auth vars use this server's branded AIRBYTE_MCP_* namespace. This server
declares only the env var names and reads them; the concrete values (a
realm's JWKS URI, issuer, audience, discovery URL, etc.) are supplied at deploy
time by the deployment's own repo — none are baked in here. The headless
verifier activates once a signing-key source (JWKS URI or static public key) is
set; the interactive path activates once the OIDC client credentials are set.
MCP_SERVER_URL is a deployment URL (not an auth var) and stays unbranded.
MCP_SERVER_URL— public base URL of the server (also used for OIDC redirect callbacks); defaults tohttp://localhost:8080.AIRBYTE_MCP_OIDC_CLIENT_ID,AIRBYTE_MCP_OIDC_CLIENT_SECRET— enable interactive OIDC (both required).AIRBYTE_MCP_OIDC_CONFIG_URL— OIDC discovery URL (required when the client credentials are set).AIRBYTE_MCP_OIDC_CLIENT_STORAGE_FACTORY— optional"package.module:callable"naming a durable OAuth-state store factory for the interactive proxy (defaults to in-memory).AIRBYTE_MCP_AUTH_JWKS_URI/AIRBYTE_MCP_AUTH_JWT_PUBLIC_KEY— JWKS URL or static public key for verifying headless tokens (one activates the verifier).AIRBYTE_MCP_AUTH_ISSUER/AIRBYTE_MCP_AUTH_AUDIENCE/AIRBYTE_MCP_AUTH_ALGORITHM— expectediss/audclaims and signing algorithm.
With no auth variables set, the HTTP server falls back to unauthenticated local
behavior. This server maps the AIRBYTE_MCP_* variables into the typed config
objects consumed by
fastmcp-extensions, which
assembles the verifier(s) and reads no environment variables itself.
Troubleshooting
Troubleshooting Local Connector Installation Issues
The MCP server uses PyAirbyte under the hood to manage Airbyte connectors. PyAirbyte supports both Python-native connectors (installed via pip/uv) and Docker-based connectors (run in containers).
To ensure docker connectors run correctly, please make sure which docker returns a valid
path and that Docker Desktop (or an alternative container runtime) is running.
To ensure Python connectors run correctly, please make sure the Python version used to run the MCP server is compatible with the connector requirements. See the MCP server conifiguration section above for details on how to specify the Python version used by the MCP server.
Using Abolute Paths
Always use absolute paths in your environment files. Relative paths, tilde (~), or
environment variables like $HOME will not work correctly, due to the way MCP servers
are loaded and executed.
The AIRBYTE_PROJECT_DIR environment variable is critical - it specifies where PyAirbyte
stores connector artifacts, cache files, and temporary data. Ensure this directory:
- Uses an absolute path. (For example:
/Users/username/airbyte-projects.) - Exists on the filesystem. (Use
mkdir -p /path/to/dirto create it if needed.) - Is writable by the user account running the MCP server.
Note:
- In rare cases, your agent may not be able to find
uvoruvxif they are not in the systemPATHor if the agent has a stalePATHvalue. In these cases, you can usewhich uvxfrom your own terminal to discover the full path to theuvxbinary, and then provide the full path in your MCP configuration file.
Securing Your Secrets
The MCP server implements a security model that protects your credentials:
- LLM sees only environment variable names - The AI assistant can see which variables
are available (e.g.,
POSTGRES_PASSWORD) but never their actual values. - MCP server reads actual values - Only the MCP server process accesses the secret values when executing operations.
- Credentials never exposed to LLM - Your API keys, passwords, and other secrets remain secure.
This design allows AI assistants to help configure connectors without compromising security.
Note: While the MCP server takes steps to secure your credentials, you are responsible for ensuring the agent is not given access to your secrets by other means. For example, Claude Code may have full local disk access when run in certain modes. Consult your agent's documentation for details on securing local files.
Contributing to the Airbyte MCP Server
Additional resources
For issues and questions:
1# Copyright (c) 2024 Airbyte, Inc., all rights reserved. 2 3r"""***Airbyte Replication MCP Server - Model Context Protocol Integration*** 4 5> **NOTE:** 6> This MCP server implementation is experimental and may change without notice between minor 7> versions of PyAirbyte. The API may be modified or entirely refactored in future versions. 8 9The Airbyte Replication MCP (Model Context Protocol) server provides a standardized interface 10for managing Airbyte connectors through MCP-compatible clients. This PyAirbyte-powered 11experimental feature allows you to list connectors, validate configurations, and run sync 12operations using the MCP protocol. 13 14## Getting Started with Airbyte Replication MCP 15 16To get started with the Airbyte Replication MCP server, follow these steps: 17 181. Create a Dotenv secrets file. 192. Register the MCP server with your MCP client. 203. Test the MCP server connection using your MCP client. 21 22### Step 1: Generate a Dotenv Secrets File 23 24To get started with the Airbyte Replication MCP server, you will need to create a dotenv 25file containing your Airbyte Cloud credentials, as well as credentials for any 26third-party services you wish to connect to via Airbyte. 27 28Create a file named `~/.mcp/airbyte_mcp.env` with the following content: 29 30```ini 31# Airbyte Project Artifacts Directory 32AIRBYTE_PROJECT_DIR=/path/to/any/writeable/project-dir 33 34# Airbyte Cloud Credentials (Required for Airbyte Cloud Operations) 35AIRBYTE_CLOUD_CLIENT_ID=your_api_key 36AIRBYTE_CLOUD_CLIENT_SECRET=your_api_secret 37AIRBYTE_CLOUD_WORKSPACE_ID=your_workspace_id 38 39# API-Specific Credentials (Optional, depending on your connectors) 40 41# For example, for a PostgreSQL source connector: 42# POSTGRES_HOST=your_postgres_host 43# POSTGRES_PORT=5432 44# POSTGRES_DB=your_database_name 45# POSTGRES_USER=your_database_user 46# POSTGRES_PASSWORD=your_database_password 47 48# For example, for a Stripe source connector: 49# STRIPE_API_KEY=your_stripe_api_key 50# STRIPE_API_SECRET=your_stripe_api_secret 51# STRIPE_WEBHOOK_SECRET=your_stripe_webhook_secret 52``` 53 54Note: 551. You can add more environment variables to this file as needed for different connectors. To start, 56 you only need to create the file and pass it to the MCP server. 572. Ensure that this file is kept secure, as it contains sensitive information. Your LLM 58 *should never* be given direct access to this file or its contents. 593. The MCP tools will give your LLM the ability to view *which* variables are available, but it 60 does not give access to their values. 614. The `AIRBYTE_PROJECT_DIR` variable specifies a directory where the MCP server can 62 store temporary project files. Ensure this directory is writable by the user running 63 the MCP server. 64 65### Step 2: Registering the MCP Server 66 67First install `uv` (`brew install uv`). 68 69Then, create a file named `server_config.json` (or the file name required by your MCP client) 70with the following content. This uses `uvx` (from `brew install uv`) to run the MCP 71server. If a matching version Python is not yet installed, a `uv`-managed Python 72version will be installed automatically. This will also auto-update to use the 73"latest" Airbyte MCP release at time of launch. You can alternatively pin to a 74specific version of Python and/or of the Airbyte library if you have special 75requirements. 76 77```json 78{ 79 "mcpServers": { 80 "airbyte": { 81 "command": "uvx", 82 "args": [ 83 "--python=3.11", 84 "--from=airbyte@latest", 85 "airbyte-mcp" 86 ], 87 "env": { 88 "AIRBYTE_MCP_ENV_FILE": "/path/to/my/.mcp/airbyte_mcp.env", 89 "AIRBYTE_CLOUD_MCP_SAFE_MODE": "1", 90 "AIRBYTE_CLOUD_MCP_READONLY_MODE": "0" 91 } 92 } 93 } 94} 95``` 96 97Note: 98- Replace `/path/to/my/.mcp/airbyte_mcp.env` with the absolute path to your dotenv file created in 99 Step 1. 100 101### Step 3: Testing the MCP Server Connection 102 103You can test the MCP server connection using your MCP client. 104 105Helpful prompts to try: 106 1071. "Use your MCP tools to list all available Airbyte connectors." 1082. "Use your MCP tools to get information about the Airbyte Stripe connector." 1093. "Use your MCP tools to list all variables you have access to in the dotenv secrets 110 file." 1114. "Use your MCP tools to check your connection to your Airbyte Cloud workspace." 1125. "Use your MCP tools to list all available destinations in my Airbyte Cloud workspace." 113 114## Airbyte Cloud MCP Server Safety 115 116The Airbyte Replication MCP server supports environment variables to control safety and access 117levels for Airbyte Cloud operations. 118 119**Important:** The below settings only affect Cloud operations; local operations are not affected. 120 121### Airbyte Cloud Safe Mode 122 123Safe mode is enabled by default and is controlled by the `AIRBYTE_CLOUD_MCP_SAFE_MODE` environment 124variable. 125 126When enabled, write operations are allowed but destructive operations (updates, deletions) are 127only allowed for objects created within the same session. For example, you can create a new 128connector and then delete it, but you cannot delete an existing connector that was not created in 129the current session. Modifications to configurations are likewise treated as potentially destructive 130and are only allowed for objects created in the current session. 131 132Set the environment variable `AIRBYTE_CLOUD_MCP_SAFE_MODE=0` to disable safe mode. 133 134### Airbyte Cloud Read-Only Mode 135 136Read-only mode is not enabled by default and is controlled by the 137`AIRBYTE_CLOUD_MCP_READONLY_MODE` environment variable. 138 139When enabled, only read-only Cloud tools are available. Write and destructive operations are 140disabled. 141 142This mode does allow running syncs on existing connectors, since sync operations 143are not considered to be modifications of the Airbyte Cloud workspace. 144 145Set the environment variable `AIRBYTE_CLOUD_MCP_READONLY_MODE=1` to enable read-only mode. 146 147## Authentication for Remote (HTTP) Servers 148 149The steps above run the MCP server over **stdio** — the client launches the 150server process locally, so there is no transport-layer auth and the only 151credentials that matter are your Airbyte Cloud creds in the dotenv file. 152 153When the server is instead exposed over **HTTP** (`airbyte-mcp-http` / 154`poe mcp-serve-http`), transport auth verifies an `Authorization: Bearer 155<token>` on every request once it is configured. Auth is driven entirely by the 156`AIRBYTE_MCP_*` env values a deployment sets — the hosted Airbyte Cloud MCP 157deployment supplies its realm's values, and a self-hosted deployment supplies 158its own. Two client shapes are supported on the same deployment (combined 159automatically when both are configured): 160 161### Humans → interactive OIDC 162 163Set `AIRBYTE_MCP_OIDC_CLIENT_ID`, `AIRBYTE_MCP_OIDC_CLIENT_SECRET`, and 164`AIRBYTE_MCP_OIDC_CONFIG_URL` (the OIDC discovery URL). Interactive clients open 165a browser (Keycloak Authorization Code + PKCE) and the resulting token is 166verified by the server. No bearer token to manage by hand. 167 168### Machines / agents → headless bearer token 169 170There is **no** transport mode that accepts a raw `client_id` + `client_secret` 171in a header. A headless agent **mints its own short-lived bearer token** and 172sends it as `Authorization: Bearer <token>`; the server verifies the signature 173(no browser, no stored/rotating refresh token). 174 175The server verifies tokens against whatever realm the deployment configures via 176the `AIRBYTE_MCP_AUTH_*` env values below. Against the hosted Airbyte Cloud MCP 177(configured for Airbyte Cloud's application-client realm), the agent mints an 178Airbyte Cloud access token from its 179`AIRBYTE_CLOUD_CLIENT_ID` / `AIRBYTE_CLOUD_CLIENT_SECRET` (the 180`https://api.airbyte.com/v1/applications/token` endpoint) and sends it as the 181bearer. That single token both authenticates transport (verified by the server) 182and authorizes downstream Cloud API calls, because an Airbyte-Cloud-issued token 183is itself a valid Cloud API bearer. Tokens are short-lived (~15 min), so 184re-mint on expiry / on a `401` rather than pinning a static token. 185 186Clients that support HTTP transports can pass the token via a `headers` block in 187their MCP config: 188 189```json 190{ 191 "mcpServers": { 192 "airbyte": { 193 "url": "https://<host>/mcp", 194 "headers": { 195 "Authorization": "Bearer ${AIRBYTE_MCP_TOKEN}" 196 } 197 } 198 } 199} 200``` 201 202### Server environment variables (HTTP mode) 203 204The auth vars use this server's branded `AIRBYTE_MCP_*` namespace. This server 205declares only the env var *names* and reads them; the concrete *values* (a 206realm's JWKS URI, issuer, audience, discovery URL, etc.) are supplied at deploy 207time by the deployment's own repo — none are baked in here. The headless 208verifier activates once a signing-key source (JWKS URI or static public key) is 209set; the interactive path activates once the OIDC client credentials are set. 210`MCP_SERVER_URL` is a deployment URL (not an auth var) and stays unbranded. 211 212- `MCP_SERVER_URL` — public base URL of the server (also used for OIDC redirect 213 callbacks); defaults to `http://localhost:8080`. 214- `AIRBYTE_MCP_OIDC_CLIENT_ID`, `AIRBYTE_MCP_OIDC_CLIENT_SECRET` — enable 215 interactive OIDC (both required). 216- `AIRBYTE_MCP_OIDC_CONFIG_URL` — OIDC discovery URL (required when the client 217 credentials are set). 218- `AIRBYTE_MCP_OIDC_CLIENT_STORAGE_FACTORY` — optional `"package.module:callable"` 219 naming a durable OAuth-state store factory for the interactive proxy (defaults 220 to in-memory). 221- `AIRBYTE_MCP_AUTH_JWKS_URI` / `AIRBYTE_MCP_AUTH_JWT_PUBLIC_KEY` — JWKS URL or 222 static public key for verifying headless tokens (one activates the verifier). 223- `AIRBYTE_MCP_AUTH_ISSUER` / `AIRBYTE_MCP_AUTH_AUDIENCE` / 224 `AIRBYTE_MCP_AUTH_ALGORITHM` — expected `iss` / `aud` claims and signing 225 algorithm. 226 227With no auth variables set, the HTTP server falls back to unauthenticated local 228behavior. This server maps the `AIRBYTE_MCP_*` variables into the typed config 229objects consumed by 230[`fastmcp-extensions`](https://github.com/airbytehq/fastmcp-extensions), which 231assembles the verifier(s) and reads no environment variables itself. 232 233## Troubleshooting 234 235### Troubleshooting Local Connector Installation Issues 236 237The MCP server uses PyAirbyte under the hood to manage Airbyte connectors. PyAirbyte 238supports both Python-native connectors (installed via pip/uv) and Docker-based connectors 239(run in containers). 240 241To ensure docker connectors run correctly, please make sure `which docker` returns a valid 242path and that Docker Desktop (or an alternative container runtime) is running. 243 244To ensure Python connectors run correctly, please make sure the Python version used to run the 245MCP server is compatible with the connector requirements. See the MCP server conifiguration 246section above for details on how to specify the Python version used by the MCP server. 247 248### Using Abolute Paths 249 250**Always use absolute paths in your environment files.** Relative paths, tilde (`~`), or 251environment variables like `$HOME` will not work correctly, due to the way MCP servers 252are loaded and executed. 253 254The `AIRBYTE_PROJECT_DIR` environment variable is critical - it specifies where PyAirbyte 255stores connector artifacts, cache files, and temporary data. Ensure this directory: 256 257- Uses an absolute path. (For example: `/Users/username/airbyte-projects`.) 258- Exists on the filesystem. (Use `mkdir -p /path/to/dir` to create it if needed.) 259- Is writable by the user account running the MCP server. 260 261Note: 262- In rare cases, your agent may not be able to find `uv` or `uvx` if they are not in the system 263 `PATH` or if the agent has a stale `PATH` value. In these cases, you can use `which uvx` from 264 your own terminal to discover the full path to the `uvx` binary, and then provide the full path 265 in your MCP configuration file. 266 267### Securing Your Secrets 268 269The MCP server implements a security model that protects your credentials: 270 271- **LLM sees only environment variable names** - The AI assistant can see which variables 272 are available (e.g., `POSTGRES_PASSWORD`) but never their actual values. 273- **MCP server reads actual values** - Only the MCP server process accesses the secret 274 values when executing operations. 275- **Credentials never exposed to LLM** - Your API keys, passwords, and other secrets remain secure. 276 277This design allows AI assistants to help configure connectors without compromising security. 278 279Note: While the MCP server takes steps to secure your credentials, you are responsible for 280ensuring the agent is not given access to your secrets by other means. For example, Claude Code 281may have *full* local disk access when run in certain modes. Consult your agent's documentation 282for details on securing local files. 283 284## Contributing to the Airbyte MCP Server 285 286- [PyAirbyte Contributing Guide](https://github.com/airbytehq/PyAirbyte/blob/main/docs/CONTRIBUTING.md) 287 288### Additional resources 289 290- [Airbyte AI Agents Documentation Home](https://docs.airbyte.com/ai-agents/) 291- [MCP Documentation Home](https://modelcontextprotocol.io/) 292 293For issues and questions: 294- [PyAirbyte GitHub Issues](https://github.com/airbytehq/pyairbyte/issues) 295- [PyAirbyte Discussions](https://github.com/airbytehq/pyairbyte/discussions) 296 297""" # noqa: D415 298 299from airbyte.mcp import cloud, local, registry, server 300 301 302__all__: list[str] = [ 303 "cloud", 304 "local", 305 "registry", 306 "server", 307] 308 309__docformat__ = "google"