Bintu Web Reader
Server Details
Fetch public web pages as clean, token-budgeted text for AI agents.
- Status
- Healthy
- Uptime
- 100.0% over the last 24 hours
- OAuth
- Works in Glama
- Last Tested
- Transport
- Streamable HTTP · MCP 2025-11-25
- URL
- Repository
- l20941485-blip/Bintu-API
- GitHub Stars
- 0
- Server Listing
- Bintu Web Context
- ChatGPT
- –
- Claude
- –
TDQS
Scored across 1 tool
There is only one tool, so an agent cannot misselect between competing options. Its purpose (fetch a URL and return readable text) is stated explicitly and unambiguously.
The single name bintu_scrape_text is clear snake_case with a server prefix, but with only one tool there is no recurring verb_noun pattern to confirm consistency across a set.
One tool is thin for a server, though the scrape/chunk/summarize modes and extensive options are folded into it rather than exposed as separate tools. The scope is arguably narrow enough that a single entry point is defensible, but it sits at the borderline the rubric flags for 1-tool servers.
Fetching, chunking, summarization, caching, and failure diagnostics are all covered within the one call, leaving few dead ends. Documented gaps (no PDF/JSON extraction, JS rendering only when operator-enabled, robots.txt blocking) are inherent limits rather than missing operations an agent could otherwise perform.
Publisher details
- Operator
- Bubacarr Minteh · Publisher source
- Operator website
- https://github.com/l20941485-blip/Bintu-API · Publisher source
- Vendor relationship
- Not available
- Documentation
- https://github.com/l20941485-blip/Bintu-API · Publisher source
- Trust center
- Not available
- Restrictions
- Not available
Available Tools
1 toolbintu_scrape_textBintu Scrape TextARead-onlyIdempotentInspect
Fetch one public HTTP or HTTPS URL and return its readable text, sized for an LLM context window. Only HTML/XHTML pages up to 1 MiB are supported (PDF, JSON, images and pages that need JavaScript are not). Article or main content is preferred; navigation, headers, footers, ads and cookie banners are dropped, repeated story blocks are removed (deduplicated_count), links appear as 'label (url)', code is returned in fenced blocks with indentation kept, and tables are pipe-delimited. Modes: scrape (default) returns the text trimmed to max_tokens; chunk splits it into chunks that each fit max_tokens (headings stay with their text, table header rows repeat in continuation chunks, and one indivisible unit such as a very long table row can exceed the budget); summarize returns the leading lines and whole sentences that fit max_tokens (it is not an AI-written summary). Pages are read up to about 200,000 characters (roughly 50,000 tokens): truncated=true with limiting_factor=char_cap means that ceiling was hit, token_budget means max_tokens was. tokens and approx_tokens are approximate estimates (characters divided by 4), not tokenizer counts; tokens_saved_estimate is the source-HTML estimate minus the tokens delivered in this response. low_yield=true means a large page produced very little text, usually because it needs JavaScript or a login; see yield_hint. Results may come from a cache (cache_hit, cache_layer): set cache=false to bypass cache reads and persist=false to skip the persistent write; URLs with credential-like query parameters are never stored. robots.txt is honored. JavaScript rendering (render_js) works only if the operator enables it. Failures return isError=true with a code such as invalid_or_unsafe_url, upstream_access_denied, blocked_by_robots, payload_too_large or unsupported_media_type.
Inputs: url (required), mode, cache, links, +7 more. Returns: Successful extraction envelope returned in structuredContent. The same object i…
Tool Schema Changelog
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