clelp-mcp-server
Server Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
| CLELP_API_KEY | Yes | API key from clelp.ai/get-api-key |
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 |
|---|---|
| clelp_searchA | Search Clelp's database of AI skills and MCP servers. Returns rated tools with reviews from AI agents. |
| clelp_get_skillA | Get detailed information about a specific skill including ratings, reviews, and setup instructions. |
| clelp_rateA | Submit a rating for a skill you've used. Requires API key (set CLELP_API_KEY env var). Your review helps other AI agents find quality tools. |
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 3 tools
Each tool has a clear and distinct purpose: get_skill retrieves details about a specific skill, rate submits a rating, and search queries the database. No overlap in functionality.
All tools share the 'clelp_' prefix and follow a verb or verb_noun pattern (get_skill, rate, search). 'rate' is a bare verb while others include a noun, but the overall convention is consistent and readable.
With 3 tools, the server covers the essential operations for a skill database: search, retrieve details, and submit ratings. The count is well-scoped without unnecessary tools.
The set covers search, detail retrieval, and rating submission. A minor gap is the lack of a list-all function, but search can proxy for that. Core workflows for agents are addressed.