Hello Spring MCP Server

Verified, provenance-first per-byte USDC data feeds for AI agents on Arbitrum. Discover first-party publishers, subscribe to live feeds or pay-per-call via x402, and verify-before-act (recompute keccak256 vs the publisher's on-chain EIP-712 attestation). 15 MCP tools; read-only needs no wallet. Testnet; no token.

AI Work Market is a USDC escrow protocol on Base Mainnet, designed for autonomous AI agents to find work, post jobs, and settle payments without humans in the loop. This MCP server exposes 10 tools: **Escrow lifecycle** - `create_intent_quote` — get calldata + gas estimate for funding a new escrow intent - `submit_proof_quote` — get calldata for the seller to submit a proof URI - `release_funds_quote` — get calldata for the buyer to release payment (or claim/refund) **x402 single-call binding** - `x402_consume` — replaces the 5-step x402 flow with one HMAC-signed POST that returns a delivery URL **Onboarding & discovery** - `agent_onboard` — generate a signed agent card with marketplace attestation - `agent_search` — tf-idf search over the live agent catalog - `agent_reputation` — server-side reputation from on-chain Released/Refunded/Disputed events **Live state** - `system_status` — live on-chain state (nextIntentId, accumulatedFees, contract balance, owner) - `escrow_rules` — contract semantics, lifecycle, call guides, failure modes - `events_subscribe` — SSE stream of new on-chain intent events All endpoints are serverless (Vercel) and return their schema on GET. No browser, no wallet UI required for an agent to integrate. The protocol takes a 1% commission on every settlement; the rest goes to the seller. The full AgentCard is at `/.well-known/agent-card.json` (A2A-compatible). The OpenAPI 3.0.3 spec is at `/.well-known/openapi.json` with `components.securitySchemes` (none, hmacX402). `robots.txt` allows GPTBot, ClaudeBot, anthropic-ai, PerplexityBot, Google-Extended, Applebot-Extended, CCBot, Amazonbot.

Playwright MCP server

Connect Cursor, Claude Desktop, and Codex to your Devvyboard workspace. This stdio MCP server lists projects, reads Kanban boards, and creates, updates, moves, or deletes cards using a scoped API key. Requires Devvyboard Pro and Node.js 20+.

Open-source memory for AI coding agents. Tell your agent to "remember" something in Cursor, Claude Code, Codex, or Gemini CLI, and Krimto saves it as a plain markdown file in a git repo you own — not rows in a vendor's database. Recall it later in a new chat, a different editor, or on another machine. One npx command, no account, no API key. Apache-2.0, with a user → team → org scope hierarchy so a team can share memory while personal notes stay private. Run: npx @krimto-labs/krimto init

Let AI read, search, and summarize your UpNote notes — and create new ones — right from your chat.

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

Discover agent-callable resources by intent — x402 paid services, MCP servers and A2A agents — via the agent-tools.cloud directory. 9 tools: search/get/list_categories (x402), search_mcp_servers/get_mcp_server, search_agents/get_agent, search_all, stats.

Give your AI agents native, governed access to Salesforce. 700+ purpose-built tools spanning every Salesforce object — Accounts, Leads, Opportunities, Cases, Campaigns, Orders, and more — all protected by DataGrout's enterprise security layer.

Channel management and messaging capabilities

Neural-OS — The mobile-first AI agent OS. Featuring sovereign agent tools for DePIN compute arbitrage, data bounty hunting, enterprise lead bartering, and live crypto pricing execution.

MCP server that fuses 2–5 AI agents into one unified mind. Features 7 tools: esse_quick, esse_fuse, esse_execute, esse_list_agents, esse_list_sessions, esse_memory, esse_defuse. Supports Venice AI, OpenAI, and Anthropic. One AI. Many agents. Fused.

百度地图核心API现已全面兼容MCP协议，是国内首家兼容MCP协议的地图服务商。

29 MCP tools for IPL 2026, IPL historical (18 seasons), and Major League Cricket. Free, no API key.

Zero-Ops deploy of a private AI coding workspace onto your own VPS — straight from your AI chat. Provide only your Ubuntu server credentials and Fractera automatically configures everything (Nginx, HTTPS, auth, database, services) in about 10 minutes: 5 AI coding engines, an autonomous Hermes orchestrator, and private graph memory (LightRAG). No terminal, no DevOps. The deployment is IP-first and free; attaching a custom domain with HTTPS is an optional later step. The connector can register the user, recommend a VPS, run and monitor the full deploy, and answer questions about the project via get_project_info.

Geospatial API tools for AI agents — geocoding, reverse geocoding, routing, isochrone, distance matrix, static maps, H3 hexagons, elevation, GPS map-matching, point-in-polygon, address normalisation, timezone lookup, and batch geocoding. Built on OpenStreetMap infrastructure. Cost-effective alternative to Google Maps API.

高德地图官方 MCP Server

Authoritative citizenship- (CBI) and residency-by-investment (golden visa) programme data, cost estimates, passport mobility, and the Mirabello Investment Migration Index, plus consultation booking. By Mirabello Consultancy (Zurich + Dubai; IMC member, ACAMS certified). Streamable-HTTP; 9 read-only tools + booking.

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.

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.

An open-source MCP server that makes government pet-food and veterinary-drug recall data queryable by AI assistants. Search and filter active recalls, fuzzy-match a specific product, and subscribe to email alerts — sourced daily from the Government of Canada (CFIA) and the US FDA (OpenFDA). Zero config: just npx.

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

Official Firecrawl MCP Server - Adds powerful web scraping to Cursor, Claude and any other LLM clients.

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

Execute one-off or scheduled tasks within a virtual computer that can spin up a real browser, a full coding agent, an email inbox and more. OpenHelm unlocks the ability for your agent to carry out all sorts of tasks, such as: • Deep research on a topic • Emailing + handling responses • Coding work • Updating files What makes OpenHelm the best solution for this: • Underpinned by a powerful AI that monitors work and ensures goals are actually achieved • Browser is SUPER stealthy, meaning it can access more of the web than other bots • Work is managed by a powerful agentic system, facilitating multi-step flows For performing complex, one-off or recurring work, OpenHelm provides a secure, remote environment to make it all possible.

Improve your visibility across both traditional search engines and AI-powered answer engines using a virtual computer that can analyse websites, competitors, content, and search performance. SEO & GEO by OpenHelm enables your agent to carry out work such as: • SEO audits and recommendations • GEO (Generative Engine Optimisation) analysis • Competitor monitoring • Content opportunity discovery • Search visibility reporting What makes OpenHelm the best solution for this: • Continuously evaluates whether recommendations are actually improving visibility over time • Can investigate competitors and search results using a highly capable stealth browser • Multi-step workflows allow analysis, planning, implementation, and monitoring to work together • Designed for both search engines and emerging AI discovery platforms For organisations looking to grow organic visibility, OpenHelm provides a secure environment where optimisation work can be performed continuously and autonomously.

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.

A Serper MCP Server

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

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.