Ascend MCP Server
Server Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
| ASCEND_API_KEY | Yes | Your Ascend API key | |
| ASCEND_API_URL | No | The base URL for the Ascend MCP API | https://ascend.workingensemble.ca/api/mcp |
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
Features and capabilities supported by this server
Protocol revision2025-11-25
| Capability | Details |
|---|---|
| tools | {
"listChanged": true
} |
Tools
Functions exposed to the LLM to take actions
| Name | Description |
|---|---|
| list_applicationsA | List job applications from Ascend. Returns a paginated list with status, company, job title, and match score. |
| get_applicationA | Get full details for a specific job application including AI analysis, tailored resume, and metadata. |
| get_resumeA | Get the user's base resume in JSON Resume format. Includes work history, education, skills, projects, and contact info. |
| get_dashboard_statsA | Get dashboard statistics: total applications, active applications, interviews, offers, and average AI match score. |
| get_analytics_overviewB | Get analytics overview: application trends, interview rates, offer rates, and period-over-period comparisons. |
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 5 tools
list_applications and get_application are clearly list-vs-detail, and get_resume is unique. get_dashboard_stats and get_analytics_overview overlap somewhat as aggregate metrics, though current snapshot vs trends helps distinguish them.
All tools follow a consistent snake_case verb_noun pattern: list_/get_ plus a resource. The naming is predictable and readable across the entire set.
Five tools is a tight, well-scoped set for a job-application insights server. Each tool covers a distinct data need without redundancy.
The read-side surface is reasonably complete: list/detail views, resume access, dashboard stats, and analytics. It lacks create/update actions, but for a read-oriented analytics server these are not critical gaps.