Schema | career-scout-mcp

career-scout-mcp

Describes the environment variables required to run the server.

Name	Required	Description	Default
No arguments

Features and capabilities supported by this server

Capability	Details
`tools`	{ "listChanged": false }
`prompts`	{ "listChanged": false }
`resources`	{ "subscribe": false, "listChanged": false }
`experimental`	{}

Functions exposed to the LLM to take actions

Name	Description
rescore_postingA	Re-score one posting against the current rubric via the configured LLM. Loads the posting, loads the current rubric, scores it via LiteLLM, persists the new score row, and returns the structured result. Raises ValueError if posting not found; ScoringError on LLM/parse failure.
tag_mismatched_scoreB	Record that a stored score does not match operator judgment. Writes to tagged_mismatches.db. The tune_rubric prompt aggregates these for rubric refinement workflows. Reason must be non-empty.
query_postingsB	List postings matching the filter criteria, with their latest score. Returns only postings that have at least one score (the JOIN excludes never-scored ones). Empty result is valid output.
regenerate_digestA	Render a digest HTML of the current top-20 postings. Output path is settings.digest_output_path (operator-controlled, not user-input — no path traversal vector). Writes a single self-contained HTML file with minimal inline styling.

Interactive templates invoked by user choice

Name	Description
`tune_rubric`	Produce a prompt asking the LLM to suggest rubric refinements. Aggregates the most recent N tagged mismatches and the current rubric, then asks the LLM to identify scoring-pattern problems and propose specific rubric language changes grounded in those cases.
`analyze_digest_trends`	Produce a prompt asking the LLM to analyze scoring history trends.

Contextual data attached and managed by the client

Name	Description
`digest_current`	Return the most recent digest HTML, or a placeholder if none exists.
`scores_history_default`	Return the most recent 50 scoring records.
`rubric_current`	Return the current rubric text + version + source path.
`config_scrapers`	Return the synthetic scraper config (demonstration only).
`stats_summary`	Return aggregate stats for dashboard / overview consumption.
`get_health`	Aggregate health into a single dict.

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/stestojadinovic/career-scout-mcp'

If you have feedback or need assistance with the MCP directory API, please join our Discord server