project-hub-mcp
Server Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
| DEVIN_MODEL | No | Default Devin model (e.g., claude-sonnet-4) | |
| PROJECT_HUB_DATA | No | Directory for storing agents, pipelines, and run history | ~/.project-hub-mcp |
| DEVIN_WORKING_DIR | No | Default working directory for Devin agent runs | $HOME |
| PROJECT_HUB_API_KEY | No | Your API key from projecthub.dev | |
| DEVIN_PERMISSION_MODE | No | Devin permission mode: auto, smart, or dangerous | auto |
| PROJECT_HUB_LOCAL_MODE | No | Set to '1' for unlimited local runs without API key | 0 |
Capabilities
Features and capabilities supported by this server
| Capability | Details |
|---|---|
| tools | {
"listChanged": true
} |
Tools
Functions exposed to the LLM to take actions
| Name | Description |
|---|---|
| list_pipelinesA | List all available AI agent pipelines. Shows name, description, trigger type, and number of agents in each pipeline. |
| run_pipelineA | Execute an AI agent pipeline with an initial input. The pipeline will run each agent in sequence, passing output between them. Returns a run ID you can use to check status. |
| get_run_statusB | Get the current status and full logs of a pipeline run by its run ID. |
| list_agentsB | List all available agents. Each agent is a single execution unit: a Devin AI session, shell script, Python script, or HTTP API call. |
| run_agentA | Run a single agent with a given input. Useful for quick one-off tasks without a full pipeline. |
| create_pipelineA | Create a new pipeline by specifying an ordered list of agent IDs. Agents run in sequence, each receiving the previous agent's output as input. |
| get_usageB | Check how many pipeline runs you've used this month and what plan you're on. |
Prompts
Interactive templates invoked by user choice
| Name | Description |
|---|---|
No prompts | |
Resources
Contextual data attached and managed by the client
| Name | Description |
|---|---|
No resources | |
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