skillfinder-mcp
Server Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
| SKILLFINDER_REPO | No | GitHub repository containing skills (owner/repo) | sickn33/antigravity-awesome-skills |
| SKILLFINDER_RESULTS | No | Default number of search results (1-10) | 3 |
| SKILLFINDER_GITHUB_TOKEN | No | Optional GitHub token to increase API limit | |
| SKILLFINDER_HTTP_TIMEOUT_MS | No | Per-request timeout in milliseconds (1000-60000) | 15000 |
| SKILLFINDER_FETCH_CONCURRENCY | No | Parallel raw file fetch count during full index build (1-40) | 40 |
| SKILLFINDER_PREWARM_ON_INSTALL | No | Enable/disable install-time cache prewarm (1/0, true/false) | true |
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 |
|---|---|
| search_skillsA | Search the skill library for skills relevant to your current task. Pass a natural language description of what you're working on and get back the most relevant skill documents with full content. Call this BEFORE starting any coding task to get specialized guidance. |
| refresh_indexA | Force a full re-fetch of the skill index from GitHub, bypassing the cache. Use this if you know the upstream skill repo was recently updated. |
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 2 tools
search_skills and refresh_index serve clearly different purposes—one retrieves relevant skill documents, the other updates the underlying index. There is no overlap or ambiguity between them.
Both tool names follow a consistent verb_noun snake_case pattern (search_skills, refresh_index). The verbs clearly describe the action and the nouns identify the target.
Two tools is slightly below the typical 3-15 range, but for a focused skill-finding server the pair is logical: one core search tool and one maintenance tool. It is not thin enough to feel incomplete.
The domain is read-only skill discovery, and the search tool returns full skill content while refresh_index keeps the library current. No obvious operations are missing for this server's stated purpose.