LLMKit
Server Details
Token counting, RAG chunking, truncation, HTML to Markdown and JSON repair
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- Status
- Unhealthy
- Last Tested
- Transport
- Streamable HTTP
- URL
- Repository
- OlsOls4/webkit-api
- GitHub Stars
- 0
- ChatGPT
- –
- Claude
- –
Related MCP Connectors
Count tokens (o200k/cl100k), truncate to a budget, chunk text for RAG and estimate LLM cost.
Web pages and PDFs to clean, LLM-ready Markdown with token counts, small crawls and RAG chunks.
Free no-LLM token savers: URL→Markdown, outline, JSON trim, log compress, token count; x402 extras
Token counts, color contrast, time zones, JSON repair, Supabase RLS checks, AI-bot access.
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- FlicenseAqualityCmaintenanceReduces token consumption by 73-87% by cleaning web and API data before it reaches the LLM context window. Supports fetching URLs, searching the web, optimizing JSON, and more.61-
- AlicenseNot gradedqualityBmaintenanceProvides local, privacy-first tools for redacting sensitive data, decoding JWTs, estimating LLM costs, splitting documents for context, checking output fidelity, and hashing text, all without network calls.74 npmMIT
- AlicenseBqualityAmaintenanceEnables developers to repair malformed JSON, synthesize ReDoS-safe regexes, compile XML system prompts, enforce JSON Schema, verify context compaction, audit hallucinations, and sanitize CSV/JSON data through a scoped streamable-http endpoint.71MIT
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