フィード

Sidearm

sidearmDRM

MCP server for the Sidearm API — protect media from AI training, detect AI content, and search for stolen work

ebadros

4 か月前 に投稿

Enable llm to control screen brightness or ...

mingdedi

4 か月前 に投稿

Claude FAF

Wolfe-Jam

Persistent Project Context for Claude — IANA-registered .faf format · 32 tools + 1 prompt · MCP Registry #2759

Wolfe-James

4 か月前 に投稿

The FlowZap MCP Server bridges AI coding assistants and FlowZap's diagramming engine, letting LLMs generate real, shareable Workflow, Sequence and Architecture diagrams in seconds. Pretty ones.

flowzap-xyz

4 か月前 に投稿

Real-time Solana token risk scoring and momentum signals for AI assistants. Score any pump.fun or Solana token with 4 tools: get_token_risk (0-100 risk score), get_momentum_signal (STRONG_BUY to STRONG_SELL), batch_token_risk (up to 10 tokens), and get_full_analysis (combined ver

autonsol

4 か月前 に投稿

Automate social media storytelling and posting directly from Claude. Seamlessly manage your content flow and audience engagement.

7 Figures

4 か月前 に投稿

Wonderkraftz is a giftware online brand specializing in scrapbooking, home décor, return favors, craft material and much more

rachit1987

4 か月前 に投稿

Qsp Mcp

qso-graph

Named after the Q-signal QSP ("Will you relay?"), qsp-mcp relays tool calls between a local LLM and MCP servers. Any model with function calling capability gains access to the full qso-graph tool ecosystem — 71+ tools across 12 servers — from local weights, not from cloud.

Greg Beam

4 か月前 に投稿

AI-powered sports betting analysis for NBA, NHL, and NCAAB. Backed by real data: 1,353+ resolved picks and a

Sean G

4 か月前 に投稿

A Model Context Protocol (MCP) server that provides web search capabilities by integrating with a SearXNG instance.

Nik

4 か月前 に投稿

Skylos

duriantaco

Dead code detection, security scanning, and code quality analysis for Python, TypeScript, and Go. 98% recall with 3x fewer false positives than Vulture. 5 tools: analyze, security_scan, quality_check, secrets_scan, remediate. AI-powered auto-fix agent.

oha

4 か月前 に投稿

Crawlio Browser

Crawlio-app

100-tool browser automation for AI agents via MCP. Screenshots, DOM inspection, network capture, form filling, cookie management, tab orchestration, session recording, and structured data extraction via Chrome extension. One-command setup: npx crawlio-browser init auto-configures

Rashid Azarang

4 か月前 に投稿

Luzia Crypto Prices

luziadev

MCP server for real-time crypto prices, OHLCV history, and cross-exchange comparison from Binance, Coinbase, Kraken, OKX, and Bybit

Helder Vasconcelos

4 か月前 に投稿

Let AI see, click, type, and fully operate virtual machines

Eiliya Raizis

4 か月前 に投稿

Full-featured MCP server for Apache Superset with 135+ tools for dashboards, charts, datasets, SQL Lab, security, and more

Stanislav Chernov

4 か月前 に投稿

NodusAI MCP Server — Prediction Market Signals

NodusAI-Your-Prediction-Broker

AI-Powered Signals for Prediction Markets — accessible to any AI agent via MCP.

Luana Cantuarias

4 か月前 に投稿

Core Web Vitals analysis powered by Lighthouse. Four tools: analyze a URL, compare two URLs, check against thresholds, or crawl an entire site. Works with Claude Code, Cursor, Windsurf, and any MCP-compatible AI tool.

Bobby R. Goldsmith

4 か月前 に投稿

Manage CronAlert uptime monitors, check results, and incidents from any MCP client.

Jared Hobbs

4 か月前 に投稿

MCP server for Lightdash analytics platform. Enables AI assistants like Claude to discover data, execute queries, create charts, and manage dashboards programmatically. Supports Lightdash Cloud and self-hosted instances.

pd

4 か月前 に投稿

Kilntainers

Kiln-AI

Kilntainers is an MCP server that gives LLM agents isolated Linux sandboxes for executing shell commands.

Steve Cosman

4 か月前 に投稿

Keynote Mcp

ByAxe

MCP server that gives AI full control over Apple Keynote through AppleScript automation. Create, edit, and export presentations via natural language with 30+ tools.

Aleksei Litvinau

4 か月前 に投稿

Kelnix Datamind Curator

kelnixsolutions

AI-Ready Data & Context Engineering API. Connect any data source — PostgreSQL, CRMs, APIs — and get clean, structured, AI-ready data in seconds. Natural language queries, semantic vector search, automated PII redaction, deduplication, and AI-powered context building for RAG pipel

Kelnix

4 か月前 に投稿