LLMKit
Token counting, RAG chunking, truncation, HTML to Markdown and JSON repair
MCP server · by OlsOls4
About
LLMKit is an MCP server published by OlsOls4. Marketplaces we read that list it: 1 (Official MCP Registry). We first saw it on 2026-10-14 and have recorded no change since. As of our marketplace pass on 2026-10-16.
What it asks for
- Runs remotely
None of the marketplaces we read publishes its tools or the settings it asks for.
Requires: X-RapidAPI-Key header, X-RapidAPI-Host header
What it declares, asks for and runs, in full
Only install plugins from developers you trust. We list what marketplaces publish and do not test plugins.
Works with
- Claude Code
- Codex
- Cursor
- VS Code
- Copilot CLI
A one-click link opens the client, which asks you to confirm before it adds the server.
From the marketplaces that list it and the MCP transport it declares, as each client documents them. We do not test plugins.
Connect
Commands and configs built only from what its marketplaces declare. We do not run them for you and do not test plugins.
As a remote MCP server
Built from what Official MCP Registry declares.
claude mcp add --transport http llmkit https://llmkit-token-counter-rag-chunker-json-repair.p.rapidapi.com/mcp --header "X-RapidAPI-Key: <YOUR_X_RAPIDAPI_KEY>" --header "X-RapidAPI-Host: <YOUR_X_RAPIDAPI_HOST>"[mcp_servers.llmkit]
url = "https://llmkit-token-counter-rag-chunker-json-repair.p.rapidapi.com/mcp"
http_headers = { "X-RapidAPI-Key" = "<YOUR_X_RAPIDAPI_KEY>", "X-RapidAPI-Host" = "<YOUR_X_RAPIDAPI_HOST>" }{
"mcpServers": {
"llmkit": {
"url": "https://llmkit-token-counter-rag-chunker-json-repair.p.rapidapi.com/mcp",
"headers": {
"X-RapidAPI-Host": "<YOUR_X_RAPIDAPI_HOST>",
"X-RapidAPI-Key": "<YOUR_X_RAPIDAPI_KEY>"
}
}
}
}Replace the values in angle brackets with your own. We show the names of the settings, never values.
Where it is published
| Marketplace | Status | Version | Figures | Verified | First seen |
|---|---|---|---|---|---|
| Official MCP Registry (Open the registry record) | Listed | 1.1.0 | Forks (GitHub): 0 Stars (GitHub): 0 |
Not marked |
Each figure is the marketplace's own and is never added up across marketplaces. A marketplace that publishes no figure shows none: no number is not zero.
What changed
- Became a product we track
- Official MCP Registry: appeared
Possibly the same plugin
Listings that share a signal with this one but not enough for us to treat them as the same product.
Similar plugins
Products whose own names, descriptions, tools and skills are closest in meaning to this one, on every marketplace we read. Closeness is ranked within this list only.
-
Cuts AI web-fetching costs up to 99.9% by stripping page junk before it reaches your LLM.
-
llmmcp io.github.zero-abd/llmmcp
MCP server for real-time LLM API documentation — stop hallucinations
-
lean-reader io.github.AIMento/lean-reader
Token-minimized URL-to-clean-text reader for LLMs, with a token-savings receipt.
-
MCP server and proxy that compresses LLM prompts, tool output, and replies to cut token cost.
-
Any URL to clean text, markdown, or JSON for LLM/RAG pipelines.
-
Clean raw HTML into LLM-ready text before agents spend tokens.
-
ai-token-counter io.github.lazymac2x/ai-token-counter
Cloudflare Workers MCP server: ai-token-counter
-
mcp-token-optimizer io.github.rccola990-cloud/mcp-token-optimizer
Cut LLM token costs: count tokens, estimate cost, slim prompts, and pick the cheapest capable model.
-
overllm io.github.theadamdanielsson/overllm
Find the LLM/AI calls you didn't need — where plain code or a regex does the job. No model.
-
LLM token optimization gateway implementing semantic pruning.
Similar plugins by marketplace
The same question asked of one marketplace at a time: is there an analog of this plugin there?
Has a listing on Claude Code: claude-plugins-community (5)
-
Multi-LLM orchestration MCP server. Delegate tasks to Claude Code, Codex, and Gemini CLIs with session management, retry logic, async job orchestration, and token optimization.
-
AI eXchange Optimised Notation plugin converts your inputs into a machine-to-machine language to reduce token usage by up to 80% depending on the context.
-
Token-optimized document reader — silently compresses .md, .html, and .txt files on every Read, cutting context usage by ~30% with zero workflow change. Adaptive 4-stage…
-
A Claude Code plugin that routes text-heavy tasks to the right Claude model — saving tokens without sacrificing quality. Why Planning, CLAUDE.md generation, README writing, and…
-
Plan tasks with optimal model routing to minimize token usage. Breaks work into steps, assigns each the right model (Haiku/Sonnet/Opus), adds quality gates between stages…
Has a listing on Claude Code: claude-plugins-official (5)
-
Skills for working with Langfuse, the open-source LLM engineering platform for tracing, prompt management, and evaluation.
-
Precise local semantic code search via MCP. Indexes your codebase with Go AST parsing, embeds with Ollama or LM Studio, and exposes vector search to Claude through an MCP server…
-
Output.ai workflow development toolkit for Claude Code. Adds 5 specialist agents (planner, builder, debugger, prompt writer, quality reviewer), 40+ slash-command skills covering…
-
Agent Skills for Together AI platform — inference, training, embeddings, audio, video, images, function calling, and infrastructure. Covers serverless chat completions…
-
Build, train, evaluate, and use open source AI models, datasets, and spaces.
Has a listing on Claude: knowledge-work-plugins (5)
-
Skills for working with Langfuse, the open-source LLM engineering platform for tracing, prompt management, and evaluation.
-
MCP server for terminal commands, file operations, and process management
-
DataRobot skills for AI/ML workflows — model training, deployment, predictions, feature engineering, monitoring, explainability, data preparation, App Framework CI/CD, and…
-
Build multimodal AI applications with Pixeltable -- tables, computed columns, embedding search, UDFs, tool-calling agents, and 25+ AI provider integrations.
-
AI-first project auditor and re-engineer based on the 9 design principles and 7 design patterns from the TechWolf AI-First Bootcamp
Has a listing on Codex: openai-curated (openai/plugins) (5)
-
Build with OpenAI APIs, Agents SDK, and ChatGPT Apps, and create and save OpenAI API keys from Codex.
-
Evaluate Codex skills and plugins from chat with a beginner-friendly start command, local-first reports, token budget explanations, and guided benchmarking.
-
Skills for NVIDIAs ecosystem spans GPU acceleration, CUDA, AI agents, inference, robotics, Physical AI, Omniverse, and simulation. This plugin helps you understand the pieces…
-
Install, open, and connect the signed ChatCut Desktop app from Codex.
-
AI-powered code review in Codex, powered by CodeRabbit.
Has a listing on Community GitHub marketplaces (4)
-
Read large logs, JSON and docs in a fraction of the tokens. Offline, fact-preserving optimizer.
-
Multi-LLM orchestration MCP server. Delegate tasks to Claude Code, Codex, and Gemini CLIs with session management, retry logic, async job orchestration, and token optimization.
-
Connect Codex to a self-hosted AI gateway with provider-free prompt enhancement and fifteen governed MCP tools.
-
forkmind io.github.Medhovarsh/forkmind
Branchable LLM history DAG + encrypted context capsules agents can save, restore, and crypto-shred.
Has a listing on Copilot CLI: github/awesome-copilot (5)
-
Run a lightweight, role-separated AI development team with flexible tools, developer-selected models, proportionate planning, and optional QA.
-
Task Researcher and Task Planner for intermediate to expert users and large codebases - Brought to you by microsoft/edge-ai
-
Three-layer verification pipeline for AI output. Extracts claims, finds sources, and flags hallucination risks so humans can verify before acting.
-
Shows live prompt-cache reuse, expiry, token composition, and AI Credit cost for the current GitHub Copilot session without making model calls.
-
Plain-English translation layer for non-technical Copilot CLI users. Translates every approval prompt, error message, and technical output into clear, jargon-free English with…
Has a listing on Copilot CLI: github/copilot-plugins (5)
-
Toolkit for building Microsoft 365 Copilot declarative agents — scaffolding, JSON manifest development, and capability configuration.
-
Advanced Security plugin for GitHub Copilot.
-
Bring Azure DevOps work-item, repository, and pull-request workflows into GitHub Copilot.
-
Build and manage Microsoft Dataverse solutions using natural language. Includes table/column creation, solution lifecycle, data operations, and MCP server configuration.
-
workiq
Query Microsoft 365 data with natural language — emails, meetings, documents, Teams messages, and more.
Has a listing on Cursor: cursor/plugins (5)
-
Iterative self-referential AI loops using the Ralph Wiggum technique.
-
Incremental transcript-driven memory updates for AGENTS.md using high-signal bullet points only.
-
Build apps, scripts, and automations with the TypeScript SDK.
-
Add Grok voice to an app: realtime speech-to-speech, speech-to-text dictation, text-to-speech read-aloud, and a log-driven fix loop for voice sessions.
-
Fan large tasks out across parallel cloud agents with planners, workers, verifiers, and structured handoffs.
Has a listing on Docker MCP Catalog (5)
-
Discovers and retrieves llms.txt from websites.
-
Bridges multiple AI models and CLIs, enabling orchestrated workflows across Claude Code, Gemini CLI, Codex CLI, and other AI development tools.
-
Production-ready RAG service to search and retrieve data from your documents.
-
Read and score Opik traces, experiments, datasets and prompts from your AI assistant.
-
A lightweight MCP server for calling MarkItDown.
Has a listing on Official MCP Registry (5)
-
Cuts AI web-fetching costs up to 99.9% by stripping page junk before it reaches your LLM.
-
llmmcp io.github.zero-abd/llmmcp
MCP server for real-time LLM API documentation — stop hallucinations
-
lean-reader io.github.AIMento/lean-reader
Token-minimized URL-to-clean-text reader for LLMs, with a token-savings receipt.
-
MCP server and proxy that compresses LLM prompts, tool output, and replies to cut token cost.
-
Any URL to clean text, markdown, or JSON for LLM/RAG pipelines.
Found by meaning, not by shared code or a shared repository: similar plugins stay separate products, and this is not a review or a recommendation.
Want this mark on your plugin in our catalog?
Prove you maintain it with a file in its repository, a file on your domain or a DNS record, and you can show this mark on the card, with live banners for your site and README. How verification works
You also get alerts when a marketplace lists it, drops it, changes its verified mark or what it asks for, and its remote endpoint goes on monitoring as a web service.
Data comes from the Official MCP Registry (registry.modelcontextprotocol.io), CC0 1.0. Figures come from our own regular passes over the marketplaces, last read on . We publish no contact details for plugin publishers.