Chrome MCP Server

fomox402 broker + MCP server for last-bidder-wins games on Solana. Drop one URL into Claude / Cursor / Goose / Cline and the agent auto-registers a Privy-managed Solana wallet (faucet-funded with ~0.0024 SOL + $fomox402), bids via x402 micropayments, claims dividends, and plays autonomously. 14 tools wired up — register_agent, place_bid, claim_winnings, claim_dividend, list_games, get_me, etc. Streamable HTTP at https://bot.staccpad.fun/mcp.

Local-first MCP code intelligence server with 37 tools — hybrid search, blast-radius analysis, diff-aware risk-scored review, and bi-temporal memory pinned to git SHAs. Stops AI agents from hallucinating function names that don't exist in your codebase. Published 60-task retrieval benchmark with reproducible harness. MIT.

Convert URLs to PDF, screenshot, or markdown, and convert document and image files, directly from Claude Code, Cursor, Windsurf, and Claude Desktop.

Search, retrieve, and verify structured entity data for businesses on the Nordax AI Entity Network. Provides AI systems and agents with machine-readable business profiles, JSON-LD structured data, and entity verification status for over 360,000 businesses.

Institutional-grade crypto & equity orderflow intelligence for AI trading agents. Sub-second L2 orderbook physics, spoofing detection, and liquidity event alerts.

MCP server for AI industry intelligence: real-time AI news, service status, model pricing, and 15 paid premium tools (routing, news search, history series, cost projection, forecasting, provider deep-dive, model comparison, webhook watches). Pay-per-call in USDC on Base mainnet, no accounts. Already in the official MCP registry as ai.tensorfeed/mcp-server.

Validate startup ideas before your build agent scaffolds code. One MCP tool, validate_idea, returns a 10-dimension Venture Readiness Score (0–100, computed deterministically in code), an evidence brief tagged by source (observed / inferred / missing / AI / user-claim), a kill / pivot / test / build verdict, and live signal from Reddit, GitHub, Hacker News, Stack Overflow, and dev.to. Calibrates to the user's declared founder skill graph and assigns 1–3 archetypes with structural cautions. Designed to sit BEFORE code-scaffolding in a build-agent flow.

Autonomous AI browser testing. Give Testorax a URL and it crawls your app, generates test scenarios, runs them in real browsers, and returns a bug report with screenshots. No test code to write. Works with any deployed web app.

QueueSim is a free MCP server that gives Claude, Cursor, and any MCP-speaking AI the ability to run real discrete event queueing simulations. Nine tools cover direct M/M/c, four preset scenarios (call center, ER, coffee shop, single server), staffing recommendations, scenario comparisons, theory explainers, and result interpretation. By ChiAha — 35 years of Discrete Event Simulation.

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

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

Plan Swiss train journeys from your AI assistant. Live SBB schedules with delays, prices in CHF with Halbtax / GA discounts, one-click booking on sbb.ch. Opens directly in the SBB Mobile app on phones.

AI-native payment infrastructure that gives AI agents isolated wallets with programmable spending policies for autonomous USDC stablecoin transactions. 11 MCP tools for Claude Desktop, Cursor, and Windsurf. Tri-rail support: x402 (HTTP-native micropayments), MPP (session-based streaming), and traditional fiat. Non-custodial wallets with Shamir key splitting, sub-second settlement on Polygon PoS, Base, and Tempo. Free tier, no credit card. Website: https://moltpe.com Reference impl (Apache 2.0): https://github.com/umangbuilds/moltpe-agent-payments

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

Find your first SaaS users on Reddit, X, YouTube, and TikTok. Lead-discovery MCP for solo founders.

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

Lightrun MCP connects AI coding assistants to live runtime context from production and staging applications for safe code-level debugging without redeploying. It lets MCP-compatible clients discover runtime sources, inspect live expression values, capture call stacks, measure execution duration, count executions, and collect numeric runtime metrics directly from the AI workflow.

Agent-first skill marketplace MCP server. AI agents discover, install, and share reusable skills across 7 platforms (Claude, Cursor, Windsurf, Cline, VSCode, Copilot, OpenAI) via MCP protocol. 15 tools including skill search, download, upload, and agent discovery.

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

Real-time gold price API + MCP server. 8 tools: get_spot_price, list_commodities, get_metadata, get_historical, search_news, search_docs, get_prediction_market_view, get_prediction_market_arb. Pyth + WGC + CME + Stooq sources, prediction-market view layered on top. Free tier available; Pro tier ($50/mo) for futures + multi-asset (silver, copper). MCP available on every tier, no paywall on AI agent integration.

Lightweight MCP server for providing user prompts defined in Markdown with argument support.

Channel management and messaging capabilities

scratchpad-mcp is an MCP server that gives AI agents persistent, token-efficient storage. It solves a specific waste problem: agents constantly re-read files they've already seen, re-summarize documents they've already processed, and re-load context they've already understood. Every one of those round-trips burns tokens for no new information. This server fixes that with eight tools designed around how agents actually work: Versioned writes. write_file automatically versions every write and keeps the 10 most recent versions per file. Storage is append-only on success and atomic on failure partial writes can't corrupt state. Structured diffs. read_file accepts a since_version parameter and returns a JSON line-diff against that prior version instead of the full content. Agents that have already seen v1 can ask "what changed in v3?" and get a small structured payload they can reason about, not the entire file again. Append-only logs. append_log and read_log give agents an event-stream they can replay. Cursor-based pagination (since_entry + last_entry_id + has_more) means an agent can checkpoint where it left off and resume cheaply. On-demand summaries. summarize_file calls Claude Haiku to summarize files over ~2000 estimated tokens. Summaries are cached per file version, so repeat calls on an unchanged file cost nothing. The threshold is enforced server-side you can't accidentally pay to summarize something small. Per-agent isolation. Every operation is scoped by an agent_id parameter, so one server instance can serve many agents without leaking state between them. Storage limits. 1 MB per file write, 64 KB per log entry, 1000 files / 100k log entries / 100 MB total per agent sane multi-tenant guardrails out of the box. Backed by a single SQLite file (Postgres migration is on the roadmap). All SQL is parameterized, paths are validated against a strict allowlist, and the security model is documented honestly it's safe for one-user-per-process deployments today, and the V2 plan derives agent_id from the caller's API key for true multi-tenancy. Build agents that remember what they've already seen.

Query your marketing, sales, and customer data in plain English — across 325+ sources via Windsor.ai. Connects Claude, Cursor, and other MCP-compatible LLMs to Google Ads, Meta, TikTok, GA4, HubSpot, Salesforce, Shopify, and more, with no SQL or ETL required.

Any CSV to any CSV. Get a file the destination app accepts on the first try. Templates for Amazon → Shopify, Amplitude cohorts, more coming. One tool call, same output every time.