AutoCoder-MCP
by hasim2006
Server Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
| MODEL_NAME | No | Model identifier | gemini-2.5-flash |
| DOCKER_IMAGE | No | Base container image for sandboxing | python:3.12-slim |
| GITHUB_TOKEN | No | GitHub personal access token for live PR creation | |
| LLM_PROVIDER | No | LLM backend (`gemini`, `openai`, or `mock`) | mock |
| GEMINI_API_KEY | No | Google Gemini API key | |
| OPENAI_API_KEY | No | OpenAI API key | |
| SANDBOX_CPU_QUOTA | No | Container CPU quota | 100000 |
| SANDBOX_PIDS_LIMIT | No | Maximum container processes | 100 |
| MAX_HEALING_ATTEMPTS | No | Maximum self-healing iterations before halting | 4 |
| SANDBOX_MEMORY_LIMIT | No | Container RAM limit | 512m |
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
Server capabilities have not been inspected yet.
Tools
Functions exposed to the LLM to take actions
| Name | Description |
|---|---|
No tools | |
Prompts
Interactive templates invoked by user choice
| Name | Description |
|---|---|
No prompts | |
Resources
Contextual data attached and managed by the client
| Name | Description |
|---|---|
No resources | |
This server cannot be deployed
Maintenance
ActivityMaintained
ResponsivenessNo recent community issues