cv-mcp
Server Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
| CV_API_URL | Yes | Full URL of the CV endpoint, e.g. https://your-backend.example.com/api/cv |
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
} |
| prompts | {
"listChanged": true
} |
| resources | {
"listChanged": true
} |
Tools
Functions exposed to the LLM to take actions
| Name | Description |
|---|---|
| get_cvA | Devolve o CV completo do Tomás Francisco, em texto. |
| list_sectionsB | Lista os títulos das secções do CV (ex.: experiência, formação, competências). |
| get_sectionA | Devolve o conteúdo de uma secção do CV. Usa list_sections para ver os nomes. |
| search_cvA | Pesquisa um termo (tecnologia, empresa, palavra-chave) no CV e devolve as linhas onde aparece. |
Prompts
Interactive templates invoked by user choice
| Name | Description |
|---|---|
| adaptar_cv_a_vaga | Analisa o CV face a uma descrição de vaga e sugere melhorias. |
Resources
Contextual data attached and managed by the client
| Name | Description |
|---|---|
| cv-completo | Texto integral do CV |
TDQS
Scored across 4 tools
Each tool targets a clearly distinct retrieval mode: full CV, section listing, section content, and keyword search. No overlapping purposes cause confusion.
All tool names follow a consistent verb_noun snake_case pattern (get_cv, list_sections, get_section, search_cv), making the set predictable.
Four tools are well-matched to a simple CV reader, covering full retrieval, section discovery, section retrieval, and search without redundancy.
The read-only surface is complete for a static CV: full text, structured sections, section-level access, and keyword search cover all likely agent needs.