CrewAI Enterprise MCP Server
OfficialServer Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
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 |
|---|---|
| kickoff_crewC | Start a new crew task |
| get_crew_statusC | Get the status of a crew task |
Prompts
Interactive templates invoked by user choice
| Name | Description |
|---|---|
No prompts | |
Resources
Contextual data attached and managed by the client
| Name | Description |
|---|---|
No resources | |
TDQS
Scored across 2 tools
The two tools have clearly distinct purposes: one starts a new crew task (kickoff_crew) and the other checks the status of an existing task (get_crew_status). There is no overlap or ambiguity between these operations.
Both tools follow a consistent verb_noun pattern (kickoff_crew, get_crew_status) with clear action-oriented verbs and the same noun root. The naming is predictable and follows the same convention throughout.
With only two tools, the server feels severely under-equipped for an 'Enterprise MCP Server' that presumably manages crew tasks. There are likely missing operations like listing crews, updating tasks, or handling errors that would be needed for complete workflow coverage.
The tool surface is significantly incomplete for crew task management. While it covers starting and checking status, there are obvious gaps: no way to list existing crews, update tasks, cancel tasks, or retrieve results beyond status. This will cause agent failures in many scenarios.