OmniFocus MCP Server

Search bookable London sports availability — courts, pitches, lanes, classes, pickup games — across every major UK leisure-centre operator and aggregator. ~100k slots indexed across 527 venues, 5 sports. Read-only, anonymous, CC-BY-4.0 attribution for OpenActive sources.

Social media scheduling MCP for AI agents posting to X, LinkedIn, Instagram, Facebook Pages, TikTok, Discord, Telegram, YouTube, Reddit, WordPress, and Pinterest.

Agentic dispute resolution. File chargebacks on Visa, Mastercard, Stripe Issuing, and Lithic when AI agent purchases go wrong. Verify crypto addresses against sanctions and scam databases before sending (10 chains). Record signed purchase intent as tamper proof evidence. Real time webhook updates. 5% success fee only when you win.

The orkestr MCP server gives AI agents full control of the orkestr deployment platform over the Model Context Protocol. From an MCP client an agent can create and manage projects from a GitHub, GitLab, Bitbucket, or Codeberg repo, spin up environments, trigger and roll back deployments, deploy and invoke serverless functions, provision and back up managed PostgreSQL and Redis add-ons, manage custom domains, and read live logs, build logs, metrics, and health, all on infrastructure that stays in the EU.

Hosted MCP server for source-provenanced US federal healthcare provider data — NPPES, CMS PECOS, Care Compare, OIG LEIE, Open Payments. Every field returns with its exact federal source, snapshot date, and SHA-256 attestation. Public data only; no PHI. Install: npx -y @fonteum/mcp

An MCP service designed for deploying HTML content to EdgeOne Pages and obtaining an accessible public URL.

AI image generation using various models

Retrieving and analyzing issues from Sentry.io

Location services, directions, and place details

Give your AI agents a wallet they can't abuse. Almega is an MCP server that puts a control layer in front of every payment: per-agent spending limits, allow-listed categories, 1-click human approval on sensitive transactions, and a full audit ledger. Two backends ship in one file — `memory` (zero-config, 30-second demo) and `stripe` (real Stripe Issuing test-mode virtual cards, no real money). 7 tools, stdio transport, Python 3.10+, MIT.

An MCP server implementation that provides a tool for dynamic and reflective problem-solving through a structured thinking process.

BlenderMCP connects Blender to Claude AI through the Model Context Protocol (MCP), allowing Claude to directly interact with and control Blender. This integration enables prompt assisted 3D modeling, scene creation, and manipulation.

Download DocSend and Papermark links as files. Converts decks to PDF or PPTX and data rooms to a ZIP of PDFs, including email-gated and passcode-protected links.

MCP Advisor & Installation - Use the right MCP server for your needs

Generate realistic, FK-consistent test data for your databases from your AI assistant. List projects, get schema DDL, generate datasets as SQL.

Automatically create a remote browser to complete your specified tasks, developed based on Browser Use + Sandbox. 自动创建一个远程浏览器，完成你指定的任务，基于Browser Use + Sandbox开发。

Know what every affiliate link actually earns, and fix what's bleeding revenue. See revenue per article, catch dead links before they cost you, and ask it anything in plain English. Works on any site.

The Milvus MCP server enables AI applications to interact with Milvus vector databases using natural language commands. It allows AI models to perform vector searches, manage collections, and retrieve data without writing custom database queries. This integration facilitates seamless access to vector data, enhancing the capabilities of AI tools like Claude Desktop and Cursor.

One-line description: Log Indian meals with your AI using accurate data. India's official IFCT 2017 nutrition tables + USDA (8,335 foods), by text or photo. Local-first, open source. Long description: An MCP server that gives Claude (and soon ChatGPT) accurate Indian food data. Most calorie databases are US-centric and wrong for home-cooked Indian food. This wraps India's official Food Composition Tables (IFCT 2017, National Institute of Nutrition) plus USDA. Log by talking ("2 rotis and a katori of dal") or by photo; the model identifies the food, the database supplies the numbers (no LLM guessing), and your history feeds back so the AI can coach you against what you actually ate. Local SQLite, no account, no telemetry. AGPL-3.0. Tools: search_food, log_meal, get_day, get_history, edit_entry, delete_entry, fetch_image

Calculate work hours, overtime, and gross pay with tested rulesets for US federal, California, Alaska, Colorado, and Nevada law. Handles overnight shifts, rounding policies, and workweek start. Local, no API key, no data leaves your machine.

Official LatLng MCP server for geocoding, reverse geocoding, places search, nearby POI lookup, and place categories. Powered by the LatLng API and OpenStreetMap data.

A Model Context Protocol Server connector for Perplexity API, to enable web search without leaving the MCP ecosystem.

A Model Context Protocol server that provides access to Redis databases. This server enables LLMs to interact with Redis key-value stores through a set of standardized tools.

Official MiniMax Model Context Protocol (MCP) server that enables interaction with powerful Text to Speech, image generation and video generation APIs.

MCP server for interacting with Neon Management API and databases

LinkedIn for AI agents. Agents register structured profiles, list projects, evaluate fit via FitReports, and propose connections — all through a hosted MCP server. 27 tools, zero install. Handlers (humans) approve connections. Built on Cloudflare Workers + KV.

An MCP server that flattens Claude Code sessions — keeping every prompt and event verbatim while reclaiming context tokens, so you resume the exact same raw conversation at a lower token count instead of compacting it into a lossy summary. It moves bulky tool output (large file reads, command logs, base64 screenshots) into a sidecar file, leaving a tiny retrievable reference in its place. Crash-safe, idempotent, and fully reversible. Real example from the README: a 317,236-token session flattened to 182,287 tokens.