AI Developer Tools MCP Server
Server Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
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
Server capabilities have not been inspected yet.
Tools
Functions exposed to the LLM to take actions
| Name | Description |
|---|---|
| compare_toolsC | Compare adoption metrics between 2-3 AI developer tools (e.g., OpenAI vs Anthropic SDK) |
| get_trending_toolsB | Get the fastest-growing AI developer tools over a time period, ranked by adoption growth rate |
| get_tool_historyB | Get historical adoption data and growth trends for a specific AI developer tool |
| search_toolsC | Search and filter AI developer tools by category, popularity, or keyword |
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 4 tools
Each tool has a clearly distinct purpose: compare_tools focuses on direct comparison of 2-3 tools, get_tool_history provides historical data for a single tool, get_trending_tools lists fastest-growing tools by growth rate, and search_tools enables filtering by various criteria. There is no overlap in functionality, making tool selection unambiguous.
All tool names follow a consistent verb_noun pattern using snake_case: compare_tools, get_tool_history, get_trending_tools, and search_tools. The naming is predictable and readable throughout the set.
With only 4 tools, the set feels thin for the broad domain of 'AI developer tools,' which might include operations like getting detailed tool specifications, user reviews, or integration guides. While the tools cover core analytics functions, the count is borderline low for comprehensive coverage.
The tools provide solid coverage for adoption analytics and discovery (compare, history, trending, search), but there are minor gaps such as missing CRUD operations for managing a user's tool list or accessing detailed technical documentation. Agents can likely work around these gaps for basic research tasks.