agent-kit
Server Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
| SERVER_PROFILE | No | If set to 'shared', the personal-memory tier is excluded, and artifact-memory tools are not registered. |
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 | {} |
Tools
Functions exposed to the LLM to take actions
| Name | Description |
|---|---|
| list_skillsB | List all available platform skills with name and description |
| get_skillA | Get a skill's SKILL.md content. Supports section chunking: omit |
| list_referencesA | List all shared reference files (cluster contexts, environment map, port conventions, etc.) |
| get_referenceB | Get the full content of a shared reference file |
| list_memoryA | List this engineer's LOCAL/PRIVATE personal-memory entries (name + category + one-line summary). Memory is machine-specific and gitignored — never shared. Use get_memory to fetch one, search_memory to find by keyword. |
| get_memoryA | Get the full content of one personal-memory file by name (the on-disk filename stem, e.g. reference_pqc_envoyfilter_constraints). Accepts a unique substring. LOCAL/PRIVATE tier. |
| search_memoryA | Full-text search restricted to this engineer's LOCAL/PRIVATE personal-memory tree (project/feedback/reference/user notes). Use when you recall having a personal lesson but not its exact name. For shared platform knowledge use search_platform_knowledge instead. |
| list_context_guidesA | List all topical context guides (service-mesh, monitoring, networking, etc.) |
| get_context_guideA | Get a topical context guide. Topic supports partial matching (e.g., 'mesh' -> 'service-mesh'). Large guides default to a chunked summary (intro + TOC); pass |
| search_platform_knowledgeB | Full-text search across all platform knowledge: skills, agents, references, context guides, and CLAUDE.md files |
| list_agentsA | List all available platform agents with name, description, and model. Use this first; then call get_agent for full details on a specific agent. |
| get_agentA | Get the definition for one named platform agent. Supports section chunking: omit |
| get_token_statsA | Show estimated MCP token usage. Default |
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 13 tools
Each tool targets a distinct resource and action (list vs. get vs. search) with no overlapping purposes. For example, list_skills and get_skill are clearly separated, and search_memory is distinct from search_platform_knowledge.
All tool names follow a consistent verb_noun pattern using snake_case (e.g., list_skills, get_reference, search_memory). The only minor deviation is get_token_stats, but token_stats is a noun phrase, so it still fits the pattern.
With 13 tools covering skills, references, memory, context guides, agents, search, and token statistics, the count is well-scoped for a platform knowledge agent. Each tool serves a specific purpose without unnecessary redundancy.
The tool set provides comprehensive read access to all documented knowledge types (skills, references, memory, context guides, agents) and includes both listing and detailed retrieval, plus cross-cutting search and token usage stats. No obvious gaps for the stated purpose of exploring platform knowledge.