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Glama

Server Configuration

Describes the environment variables required to run the server.

NameRequiredDescriptionDefault

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

Features and capabilities supported by this server

Protocol revision2025-11-25

CapabilityDetails
tools
{
  "listChanged": false
}
prompts
{
  "listChanged": false
}
resources
{
  "subscribe": false,
  "listChanged": false
}
experimental
{}

Tools

Functions exposed to the LLM to take actions

NameDescription
get_profileA

Return the user's profile information.

get_projectsC

Return project information, optionally limiting the number of items.

get_projectA

Return a single project, case-insensitive.

get_educationB

Return education information.

get_experienceA

Return work and experience information.

get_skillsB

Return skills information.

search_personal_dataB

Search the personal data JSON files using simple case-insensitive matching.

get_contextB

Return relevant information for a given topic: profile, projects, education, experience, skills, or all.

Prompts

Interactive templates invoked by user choice

NameDescription
personal_bioProvide a reusable prompt that tells the AI to use personal data to write a professional biography.

Resources

Contextual data attached and managed by the client

NameDescription
profile_resourceExpose the profile resource as JSON.
projects_resourceExpose the projects resource as JSON.
education_resourceExpose the education resource as JSON.
experience_resourceExpose the experience resource as JSON.
skills_resourceExpose the skills resource as JSON.

TDQS

A3.5/5.0

Scored across 8 tools

Disambiguation3/5

Each getter targets a distinct data category, but get_context overlaps with all of them by accepting the same topics, and search_personal_data can also duplicate broad retrieval. Descriptions help, but an agent may hesitate between the generic and specific tools.

Naming Consistency4/5

The vast majority follow a clear get_<resource> pattern (get_profile, get_education, get_projects). search_personal_data is a minor deviation, but it still uses a predictable verb_noun structure, so the set remains consistent.

Tool Count5/5

Eight tools is well-scoped for a personal-data retrieval server. Each resource area is represented without excessive fragmentation or unnecessary bulk.

Completeness5/5

The surface covers all advertised personal data categories (profile, education, experience, skills, projects), plus a search tool and a generic context tool that can return everything. For a read-only personal information server, there are no obvious dead ends.

Maintenance

ActivityMaintained
ResponsivenessNo issues