MCP Access
Connect AI coding agents and assistants to your Cortex workspace using MCP (Model Context Protocol).
Why Use MCP?
MCP access lets any MCP-compatible client — coding agents, desktop assistants, IDE extensions — interact with your Cortex workspace. The client auto-discovers your full API as tools from the OpenAPI spec, so project management, feed inspection, digest retrieval, and workspace mutations all happen inside the agent conversation.
Prerequisites
- A Cortex API key — create one from the API Keys guide.
-
Python and
uvx— the MCP bridge runs viauvx(part of uv). Install withbrew install uv(macOS) or see the uv installation guide.
Client Setup
Each client uses the same
awslabs.openapi-mcp-server
bridge process and the same three values — only the config file
location and JSON shape differ. Replace the API key placeholder
in whichever config you use.
Keep your API key in the config file's env block rather
than passing it as a command-line argument to avoid exposing the token
in process listings.
Claude Desktop
Add to claude_desktop_config.json (Settings → Developer → Edit Config):
{
"mcpServers": {
"cortex": {
"command": "uvx",
"args": ["awslabs.openapi-mcp-server==1.0.0"],
"env": {
"API_NAME": "cortex",
"API_BASE_URL": "https://app.runcortex.io",
"API_SPEC_URL": "https://app.runcortex.io/api/openapi.json",
"AUTH_TYPE": "bearer",
"AUTH_TOKEN": "ctx_your_api_key_here",
"ENABLE_OPERATION_PROMPTS": "true",
"LOG_LEVEL": "ERROR"
}
}
}
}
Cursor
Add to .cursor/mcp.json:
{
"mcpServers": {
"cortex": {
"command": "uvx",
"args": ["awslabs.openapi-mcp-server==1.0.0"],
"env": {
"API_NAME": "cortex",
"API_BASE_URL": "https://app.runcortex.io",
"API_SPEC_URL": "https://app.runcortex.io/api/openapi.json",
"AUTH_TYPE": "bearer",
"AUTH_TOKEN": "ctx_your_api_key_here",
"ENABLE_OPERATION_PROMPTS": "true",
"LOG_LEVEL": "ERROR"
}
}
}
}
VS Code Copilot
Add to .vscode/mcp.json:
{
"servers": {
"cortex": {
"command": "uvx",
"args": ["awslabs.openapi-mcp-server==1.0.0"],
"env": {
"API_NAME": "cortex",
"API_BASE_URL": "https://app.runcortex.io",
"API_SPEC_URL": "https://app.runcortex.io/api/openapi.json",
"AUTH_TYPE": "bearer",
"AUTH_TOKEN": "ctx_your_api_key_here",
"ENABLE_OPERATION_PROMPTS": "true",
"LOG_LEVEL": "ERROR"
}
}
}
}
Windsurf
Add to ~/.codeium/windsurf/mcp_config.json:
{
"mcpServers": {
"cortex": {
"command": "uvx",
"args": ["awslabs.openapi-mcp-server==1.0.0"],
"env": {
"API_NAME": "cortex",
"API_BASE_URL": "https://app.runcortex.io",
"API_SPEC_URL": "https://app.runcortex.io/api/openapi.json",
"AUTH_TYPE": "bearer",
"AUTH_TOKEN": "ctx_your_api_key_here",
"ENABLE_OPERATION_PROMPTS": "true",
"LOG_LEVEL": "ERROR"
}
}
}
}
Troubleshooting & FAQ
I updated the MCP config, but I still do not see Cortex tools.
Restart the MCP client after changing its config so it reloads the Cortex connection.
If the tools still do not appear, confirm that API_SPEC_URL points to your workspace's /api/openapi.json endpoint and that the workspace is reachable from your machine.
Why am I getting authentication errors?
Confirm that AUTH_TYPE is set to bearer and that AUTH_TOKEN is a valid Cortex API key starting with ctx_.
The key must belong to the same organization as the workspace you are connecting to and must not have been revoked.
Why are some Cortex operations missing from the MCP client?
MCP exposes the full customer-facing Cortex API. If an operation is missing, confirm your API key has the required permissions and that the MCP bridge is running the latest version.