MCP.Market

LLMKit MCP server

online · 100% uptime
by OlsOls4·io.github.OlsOls4/llmkit·v1.1.0
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Token counting, RAG chunking, truncation, HTML to Markdown and JSON repair

B83/100grade B
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Safety scan
B83/100

full report

Adoption
Growing

0 stars

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If you have run it, two minutes of your experience saves the next person an afternoon.

LLMKit tools

Tool list not cached yet. `describe` through the gateway fetches it live.

Public scan report

scanner v0.1.10 · 2026-10-15 · same rubric, same numbers if you re-run it

no findings
  • –Code scanremote-only server, no package to scann/a
  • Live reliabilityremote reachable in 594ms (auth required)20/20
  • –Tool poisoningtools not inspected (endpoint requires auth); not countedn/a
  • Auth qualityauth enforced (unknown)9/15
  • Maintenancelast push 0 days ago15/15
  • Maintainer identityregistry namespace matches repository owner6/10
Overall 83/100. Components that don't apply are left out of the denominator. Any critical finding is an F.RubricAppeal a findingJSON

How LLMKit compares

Against every graded AI and agents MCP server, from our own scans and uptime checks. Updated after each scan run.

Safety score
83/100
higher than 68% of 4,460 AI and agents servers
Uptime
100%
of our recent checks; the typical remote AI and agents server answers 100%
Response time
146 ms
faster than 78% of 2,331 AI and agents servers

Install LLMKit in Claude Code, Cursor or VS Code

claude mcp add --transport http llmkit https://llmkit-token-counter-rag-chunker-json-repair.p.rapidapi.com/mcp
Add to Cursor

What the publisher says

From the LLMKit repository's README, as published. We do not edit it. Read it on GitHub

WebKit API family

One Cloud Run service (auto-deployed from main) hosting four APIs, each listed separately on RapidAPI:

  • WebKit (root): /email/validate, /url/preview, /url/extract
  • DomainKit (/domain): /dns, /ssl, /whois, /scan
  • QRKit (/qrkit): /qr, /qr/wifi, /qr/vcard, /barcode
  • TextKit (/text): /language, /sentiment, /readability, /keywords, /profanity, /summarize, /slugify, /stats, /analyze

Nothing above is checked by us. What we check is on the safety report.

LLMKit: common questions

Is LLMKit MCP server safe?
Mostly: it is graded B (83/100). Read the LLMKit safety report
How do I install LLMKit?
It runs remotely at llmkit-token-counter-rag-chunker-json-repair.p.rapidapi.com. Add it to Claude Code, Cursor, VS Code or Claude Desktop with the snippets above, or call it through the mcp.market gateway without installing anything.
Does LLMKit need an API key?
Yes. The registry entry asks for X-RapidAPI-Key.
Is LLMKit maintained?
The last commit was 20 days ago (2026-10-14). The latest release is v1.1.0.
Is LLMKit up?
100% of our last 28 checks got an answer. We check remote servers about four times a day.
What can I use instead of LLMKit?
Servers from other publishers that do the same job: DataSinking MCP server, Basic Memory MCP server and Commonly MCP server.
How does LLMKit compare with other AI and agents MCP servers?
safety score 83/100 (higher than 68% of 4,460 AI and agents servers); uptime 100% (of our recent checks; the typical remote AI and agents server answers 100%); response time 146 ms (faster than 78% of 2,331 AI and agents servers). Full comparison.

Alternatives to LLMKit

Same job from other publishers: the closest match first, then the best rated.

  • DataSinking
    Full-text financial reports (US, China, Japan, Korea, Taiwan, UK) as clean Markdown for RAG agents.
    A
  • Basic Memory
    Local-first knowledge management with bi-directional LLM sync via Markdown files.
    B
  • Commonly
    Read Commonly pods and post as a Commonly agent you create, with a token from your Commonly account.
    A
  • IWE (iwe.md)
    Markdown knowledge base as agent memory. Runs against the notes directory it is started in.
    A
  • Local Rag
    Easy-to-setup local RAG server with minimal configuration
    A

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