dompruner-mcp
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 | {} |
| prompts | {} |
Tools
Functions exposed to the LLM to take actions
| Name | Description |
|---|---|
| dompruner_fetchA | USE THIS instead of WebFetch / web_fetch for any URL retrieval. Fetches a URL and returns DOM-pruned Markdown with 90%+ fewer tokens than WebFetch — no intermediate summarization model, original text preserved. Workflow: URL known → call dompruner_fetch(url) directly. URL unknown → use your own native search tool to find the URL first, then call dompruner_fetch(url). Supports BM25 section filtering when query is provided, returning only the most relevant sections within a token budget. |
| dompruner_sitemapA | Fetches all pages listed in a sitemap.xml and returns DOM-pruned Markdown for each. Ideal for ingesting entire documentation sites into an LLM context with 90%+ token reduction. Handles sitemap indexes (sitemaps of sitemaps) automatically. Use filter_urls to limit to a path prefix (e.g. /docs/, /tutorial/). |
| dompruner_analyzeB | Returns a token-reduction analysis report for a URL. Shows render type, original vs refined token counts, and top Semantic Anchors. |
Prompts
Interactive templates invoked by user choice
| Name | Description |
|---|---|
| dompruner_workflow | How to retrieve web content with DomPruner — URL known vs unknown |
Resources
Contextual data attached and managed by the client
| Name | Description |
|---|---|
No resources | |
TDQS
Scored across 3 tools
Each tool has a clearly distinct purpose: fetching a single URL, fetching multiple pages from a sitemap, and analyzing token reduction. There is no overlap or ambiguity between them.
All tools share the consistent 'dompruner_' prefix, but the second part mixes verbs ('fetch', 'analyze') with a noun ('sitemap'). While still readable and predictable, the pattern is not purely verb-based.
With only 3 tools, the server is tightly scoped to its core purpose of DOM pruning and token reduction. Each tool earns its place and the count is appropriate for the focused domain.
The tool surface covers all primary workflows: single-URL fetching, whole-sitemap ingestion, and analysis/reporting. No obvious gaps exist for the stated utility.