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    . A good description should be concise and describe what the server enables users to do, e.g. * Enables to interact with WordPress sites...' Then a huge block? Actually the user message includes the README content inside tags, then after the readme, there is a large block of text starting with '{
    6,532 npm
    MIT
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    Turns any OpenAPI REST or GraphQL API into an MCP server, allowing AI assistants like Claude to interact with APIs without writing code.
    32 npm
    MIT
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    A minimal MCP server with get_weather and create_ticket tools, used for testing MCP servers across protocol, unit, eval, transport, and auth layers.
    MIT
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    Lets AI assistants render HTML animations to MP4 or GIF in 16:9, 9:16 and 1:1, preview single frames to check their own work, and finish videos with royalty-free music, AI voiceover, burned-in captions, titles and logos. It renders code frame by frame in a real browser rather than generating video from a text prompt.
    MIT
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    Give your AI agent the entire China A-share market: 55 datasets of prices, financials, capital flows, corporate events and futures/options, stored locally and queryable with read-only SQL. Built point-in-time with delisted stocks kept, so backtests don't lie — no account, no API key.
    12
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    664 PyPI
    973
    Apache 2.0
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    Perfume database API with verified notes: 1,500+ perfumes, 160+ houses, 400+ raw materials in a fragrance ingredients database. 12 tools over MCP and REST, OpenAPI spec, free and keyless, answers in 10 languages. Look up a note or raw material and get the perfumes that use it, or a perfume and get its full top, heart and base pyramid. Built by Scento.
    12
    MIT
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    Provides AI assistants with real-time web search, reasoning, and research capabilities through Perplexity's Agent API and Search API, enabling tools for search, conversational Q&A, deep research, and advanced reasoning.
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    55,781 npm
    MIT
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    A lightweight MCP server for reading public YouTube data, offering tools to fetch video transcripts, playlist contents, and video metadata without requiring an API key.
    3
    MIT
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    An MCP server that reads a file's embedded C2PA Content Credential to report whether it declares AI generation or a real-world capture, and checks whether that declaration's signature still verifies against the file's current bytes.
    2
    29 PyPI
    MIT
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    Three deterministic MCP tools that score text for AI-writing tells (em-dash density, hedge words, tricolons, boilerplate openers) and grade landing-page copy. No LLM, no network calls, no API key — same input always yields the same score. Published on the official MCP registry as io.github.parweb/ai-slop-checker.
    3
    MIT
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    Converts AI Skills (following Claude Skills format) into MCP server resources, enabling LLM applications to discover, access, and utilize self-contained skill directories through the Model Context Protocol. Provides tools to list available skills, retrieve skill details and content, and read supporting files with security protections.
    3
    29 PyPI
    30
    Apache 2.0
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    Enables pushing enriched leads into Instantly or Smartlead campaigns with ICP score gating, deduplication, and dry-run previews via an Apify actor.
    1
    288 npm
    MIT
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    A deterministic MCP server that reimplements ai-git-fish workflows (aicommit, aibranch, aipr) with Leantime integration, enabling Claude Code and Codex to perform git operations and manage tickets without an internal LLM.
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    Provides a local, adaptive memory layer that lets AI agents persist and retrieve decisions, constraints, and lessons across sessions without requiring an LLM API key.
    5
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    AGPL 3.0
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    Use APIKO image and video models from Claude Code and Codex with your own API key: look up models and request fields, quote a list price, generate images and videos, follow tasks and upload reference images.
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    296 npm
    MIT
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    Web search, crawling and ranking evaluation on your own YaCy peer: no API key, no central service. Results carry author-signature verdicts and declared tags.
    11
    1
    GPL 2.0
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    Enables AI clients to analyze any company domain and determine its AI maturity tier (commercialized, deployed, declared, or none) with supporting evidence, via a single tool backed by an Apify actor.
    1
    351 npm
    MIT
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    Enables AI agents to download signature-verified Android APKs from RuStore by package name, with no browser, account, or API key required.
    2
    MIT
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    Lets AI agents check whether an EVM wallet address carries an EIP-7702 delegation across eight chains (Ethereum, Base, BNB Chain, Arbitrum, OP, Polygon, Gnosis, Unichain) and learn how to obtain a deeper paid report with delegate bytecode heuristics and risk levels. Read-only, never touching private keys or seed phrases.
    2
    MIT
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    Connect AI agents to Jev AI (jev-ai.pro) for classification, scoring, yes/no checks, advisory action assessment, batched typed decisions and saved judges. Returns structured answers and probabilities using your Jev AI API key.
    6
    MIT
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    Enables an LLM agent to investigate a Kong Gateway through fourteen read-only, schema-validated tools and a deterministic diagnostic engine, so it can trace routes, services, plugins and upstream health and explain faults such as why authentication is failing on a path. Every fact comes from the gateway itself, and the model only selects tools and writes the evidence-backed explanation.
    14
    MIT
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    Stdio MCP server (Python, standard library only, server.py in this repo) with one tool, analyze_toxicity: scores English text for toxicity, insults, profanity, threats and identity attacks (0 to 1). Perspective API compatible. No LLM.
    4
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    Parses Swagger 2.0 and OpenAPI 3.x specifications, exposing API endpoints, schemas, and authentication through MCP tools with local caching to reduce token usage.
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    19 npm
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    Enables an MCP client to read and write a personal Garmin Connect account: activities with per-set strength detail, daily health metrics (sleep, HRV, stress, steps, readiness), planned and completed workouts, and weigh-ins with body composition. It also logs finished strength sessions and body-composition readings as FIT files so they appear in Garmin Connect like natively recorded ones.
    38
    101 PyPI
    2
    MIT
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    Giggal.ai is an email verification tool that runs a deep mailbox existence check on every address and verifies catch-all/accept-all and even SEG protected emails. Your bounce rate stays under 5%, and the 30% of every B2B list that other tools flag as "Risky" becomes deliverable again.
    3
    MIT
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    It gives AI agents one tool to access the Omega-API judge, which evaluates conversational turns and returns a decision and gate action (release, clarify, suppress, or none) to guide the agent's response.
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    9 npm
    Apache 2.0
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    Enables LLM agents to operate WhatsApp through the Evolution API, providing tools to list groups, fetch message history, and send text messages to groups or individual phone numbers.
    4
    MIT
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    The LinkedIn API and MCP server for AI agents: search, connect, message and enrich on accounts you own, with limits enforced on our server. 20,000+ LinkedIn accounts run on this stack, and under 1% of them have ever been restricted.
    3
    40 npm
    67
    MIT