CodeSynapse

Model Context Protocol server that integrates AgentQL's data extraction capabilities.

An MCP server implementation for retrieving information from the AWS Knowledge Base using the Bedrock Agent Runtime.

One API for Search, Crawling, and Sitemaps

A Serper MCP Server

Job search and interview prep MCP. 11 tools spanning job discovery, role intelligence, practice question generation, resume scoring, comp benchmarks, and negotiation strategy. Cross-LLM via the hosted endpoint with OAuth 2.1.

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

An MCP server that provides a tool for sending transactional emails via Mailtrap

Flag features directly from chat in your code editor, including VS Code, Cursor, Windsurf, Claude Code—any IDE with MCP support.

MCP server for AI image generation, video generation, music creation, text-to-speech, and LLM chat. 130+ models from Flux, Kling, Seedance, Veo, Suno, ElevenLabs, Claude, GPT, Gemini, and more. Browse models, check pricing, create tasks, and poll results. Free model discovery without API key. Works with Claude Code, Cursor, Codex, Windsurf, and any MCP host.

Browser automation and web scraping

Repository management, file operations, and GitHub API integration

A Model Context Protocol (MCP) server that integrates with Jina AI Search Foundation APIs.

GitLab API, enabling project management

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

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

Location services, directions, and place details

Web and local search using Brave's Search API

Point it at your site, get a whole-site AEO/GEO audit plus a ready-to-run plan your agent can execute. Orchestrates the ai-seo and citation-intelligence MCPs. Ships as a Claude skill, Claude plugin, and MCP server. No API keys required for the core audit-to-plan flow.

At BittleBits, we build AI visibility and Generative Engine Optimization (GEO) tools that help companies optimize their content for AI systems like ChatGPT, Claude, Gemini etc. We’ve developed a proprietary AI model that analyzes how AI systems evaluate, trust, and cite content in conversational responses, helping brands improve discoverability across AI-powered search. Bittlebits has a Model Context Protocol (MCP) integration that lets you bring your GEO scores and rewrite suggestions directly into AI agents — whether you're using Claude Code in your terminal, GitHub Copilot in your IDE, or an AI web app, instead of copying content back and forth, AI can read exactly what Bittlebits recommends and help you apply those changes, including writing them directly into your codebase.

AI interior design via MCP — restyle rooms, place furniture, and virtually stage spaces from a photo. Generate photorealistic interiors directly from Claude Code, Cursor, or any MCP client.

Token-aware response paging for MCP servers. One line of code — large tool responses chunked and delivered page by page.

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

Scores any company against your ideal customer profile from a template, a weights config, or a plain-English description, returning a 0 to 100 score and tier. Part of the Mamba Labs signal toolkit.

Budget & cost control for AI agents: hard per-agent spend caps, rate limits, idempotency, and human-in-the-loop approval — enforced before each LLM call, not after the invoice. One hosted MCP endpoint (no proxy or self-hosting), settled via x402 (USDC on Base).

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。

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

CryptoQuant MCP gives AI agents direct access to institutional-grade on-chain and market data across Bitcoin, Ethereum, XRP, stablecoins, and ERC20 tokens — covering 245 endpoints across exchange flows, miner data, network indicators, derivatives, fund data, and more. Built for analysts and developers who need defensible, data-driven answers, not approximations. Query real-time metrics like exchange netflow, MVRV, SOPR, realized price bands, funding rates, and miner revenue directly inside any MCP-compatible agent — no manual data export, no dashboard switching. Backed by CryptoQuant's professional research team, whose institutional-grade analysis is also accessible via the MCP through research and QuickTake endpoints. Supported assets: BTC, ETH, XRP, Stablecoins, ERC20, TRX Data categories: Exchange flows, miner flows, market indicators, network data, derivatives, fund data, lightning network, mempool, DeFi, AMM/DEX data