Catalyst Governance

Local-first MCP server for searching private Obsidian vaults with hybrid full-text, fuzzy, semantic, and wikilink graph retrieval.

高德地图官方 MCP Server

MCP server to provide Figma layout information to AI coding agents like Cursor

GitLab API, enabling project management

RightBlogger MCP gives any AI agent direct access to SEO keyword research, Google Search Console performance, and your WordPress/Ghost/Webflow CMS — research keywords, read posts, and pull GSC data straight from Claude, Cursor, or any MCP client.

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Persistent memory and shared context for AI coding tools. Two local MCP servers give every AI coding tool a shared, permanent memory of your project across sessions and tools.

Remote MCP server over 33,000+ clinician-governed, ICD-11/ICF-grounded child-development answers (autism, speech, ADHD, milestones) with intent-aware resolution and AbilityScore escalation.

A Serper MCP Server

Pay-per-call MCP server for AI agents. Check whether ChatGPT, Perplexity, or Google AI recommends any brand — score 0-100, mention rate, and the competitors AI names instead. Also serves the 25-brand AI Visibility Index dataset, US Treasury macro data, DeFi yields, crypto prices, and trucking load-profit calculators. Paid tools settle per call in USDC on Base via x402 — no API keys, no signup. Install in Claude Desktop or Cursor. Premium brand check $0.95. Free human checker: https://aivisibility.agentexchange.work · Leaderboard: https://index.agentexchange.work

Remote MCP server with 10 tools: live brand AI-visibility audits (score 0-100, who AI recommends instead), AI Visibility Index dataset (25 brands, 5 industries), trucking profit & cost-per-mile calculators, DeFi yields, crypto prices, US Treasury rates, and macro risk-spread. Free catalog tool; paid tools are machine-payable per call via x402 (USDC on Base) — no API keys or subscriptions. Endpoint: https://x402-agent-store.rileycraig14.workers.dev/mcp

Governance middleware for AI agents — permission gates, human-in-the-loop approvals, compliance scanning across 8 frameworks, and hash-linked audit ledger. Hosted SSE endpoint, no self-hosting required.

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

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.

AgentLine is the telephony layer for AI agents. It gives your agent a real phone number making outbound calls, receiving inbound calls, and handling SMS all through a single API. No telecom infrastructure, no WebSocket wrangling, no separate STT/TTS providers to configure.

Five live data tools for AI agents — company hiring signals (Greenhouse/Lever/Ashby), SEC EDGAR filings, academic papers (OpenAlex), GitHub repos, and Hacker News — as flat, citation-ready JSON. Hosted on Apify; pay-per-result billing to the caller's own Apify account, empty results cost $0.

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.

Callingly is an MCP server that lets AI agents actually get leads on the phone. Connect Claude, ChatGPT, or n8n and it can place a call, send an SMS, or schedule a callback — Callingly dials your sales team, plays the lead's details, and warm-transfers the conversation. 8 tools: dispatch + AI calls, SMS, scheduling, sequences, and call reporting. Remote server (streamable HTTP) with OAuth 2.0.

Healthy Food MCP is a public MCP server that gives AI agents structured access to healthy recipe content. It lets Claude, Cursor, Gemini, and other MCP-compatible clients browse recipes by calorie category, diet group, meal type, macros, and keywords. The server includes tools for listing recipe categories, exploring diet and meal groups, browsing available recipe files, fetching full structured recipes, and searching the recipe collection. It is designed as a practical example of how MCP can be used beyond developer tools — turning curated food knowledge into something AI agents can query, understand, and use in real conversations. Healthy Food MCP is powered by Vectoralix and includes connection metadata, plugin manifests, reusable skills, documentation, assets, and validation scripts for easier installation and testing.

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

Verified European private equity ownership data: who owns a company, PE firm portfolios, exits by year. 21,000+ companies, 900+ GPs, hand-checked, source link on every response. No auth.

Find leads, enrich your contacts, and verify emails just by describing what you need. Versium REACH builds and sizes B2B and B2C audiences and fills in the contact and company data you're missing, all in plain language with no manual exports or API code. US data only. Estimates are free; building a list draws on your Versium account credits and always confirms with you first. Requires an active Versium REACH subscription with API access.

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

A Model Context Protocol (MCP) server for image generation and manipulation using fal.ai's Stable Diffusion model.

A Model Context Protocol server that provides time and timezone conversion capabilities. This server enables LLMs to get current time information and perform timezone conversions using IANA timezone names, with automatic system timezone detection.

Zhipu Web Search MCP Server is a search engine specifically designed for large models. It integrates four search engines, allowing users to flexibly compare and switch between them. Building upon the web crawling and ranking capabilities of traditional search engines, it enhances intent recognition capabilities, returning results more suitable for large model processing (such as webpage titles, URLs, summaries, site names, site icons, etc.). This helps AI applications achieve "dynamic knowledge acquisition" and "precise scenario adaptation" capabilities.