docs-search-engine
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
Features and capabilities supported by this server
Protocol revision2025-11-25
| Capability | Details |
|---|---|
| tools | {
"listChanged": true
} |
| prompts | {
"listChanged": false
} |
| resources | {
"subscribe": false,
"listChanged": false
} |
| experimental | {
"tasks": {
"list": {},
"cancel": {},
"requests": {
"tools": {
"call": {}
},
"prompts": {
"get": {}
},
"resources": {
"read": {}
}
}
}
} |
Tools
Functions exposed to the LLM to take actions
| Name | Description |
|---|---|
| scrape_webA | Scrape the content of a web page using Jina Reader. This tool fetches the content of any web page and returns it in markdown format using the Jina Reader service. Args: url: The URL of the web page to scrape (must be http or https). Returns: The content of the web page in markdown format. |
| count_word_occurrencesA | Count occurrences of a specific word on a web page. This tool scrapes a web page and counts how many times a specific word appears in the content. Args: url: The URL of the web page to analyze. word: The word to search for and count. case_insensitive: If True, count is case-insensitive (default: True). Returns: A dictionary with the count and additional info. |
| search_docsA | Search documentation from a GitHub repository zip file. This tool downloads documentation from a GitHub repository (as a zip), indexes the markdown files, and returns the most relevant documents matching the query. The index is cached for subsequent searches. Args: query: The search query string. zip_url: URL to the GitHub zip file (default: FastMCP docs). Format: https://github.com/{owner}/{repo}/archive/refs/heads/{branch}.zip num_results: Maximum number of results to return (default: 5). Returns: A list of matching documents with filename and content preview. Examples: # Search FastMCP docs (default) search_docs("demo") |
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
scrape_web and count_word_occurrences both involve scraping a URL, so there is slight overlap, but count_word_occurrences is clearly a specialized analysis and search_docs is distinct. An agent can generally select the right tool from the stated purpose.
All three tool names use a consistent verb_noun snake_case pattern (scrape_web, count_word_occurrences, search_docs), making the set predictable and easy to navigate.
Three tools is a small but reasonable surface for a focused toolkit; only one tool actually performs documentation search, which feels slightly lean for a server named docs-search-engine, but no tool is redundant.
The core function of searching a GitHub repository's docs is implemented, but cache management and indexing of arbitrary scraped pages are not supported. These gaps are minor and can be worked around by passing a new zip_url or relying on the automatic index.