FindIt
Server Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
| GOOGLE_CSE_ID | Yes | Your Custom Search Engine ID | |
| GOOGLE_API_KEY | Yes | Your Google API key for Custom Search JSON API |
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": false
} |
| prompts | {
"listChanged": false
} |
| resources | {
"subscribe": false,
"listChanged": false
} |
| experimental | {} |
Tools
Functions exposed to the LLM to take actions
| Name | Description |
|---|---|
| findIt_googleB | Performs a web search using Google Programmable Search Engine with enhanced parameters. Returns search results with metadata and optionally raw content from top results. |
| findIt_scrapC | Extracts and processes content from specified URLs, supporting in-depth content analysis and optional image extraction. Perfect for research and content gathering tasks. |
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
findIt_google performs web search, while findIt_scrap extracts content from specified URLs. Their actions and inputs are clearly distinct, so an agent can easily choose the right tool.
Both tools share the findIt_ prefix and snake_case style. The suffixes are slightly inconsistent: 'google' is a service noun, while 'scrap' is an abbreviated verb, but the convention is still readable.
Two tools cover the basic search-and-scrape workflow, but a 2-tool surface is thin and sits at the borderline of the typical 3-15 range. It is acceptable for a narrow purpose but feels minimal.
The server covers core web research needs: searching the web and extracting page content. Minor gaps such as batch scraping, pagination controls, or alternate search backends exist but are not essential for basic usage.