MCP File Server

Web and local search using Brave's Search API

Local-first FinOps copilot: ask about your AWS, Azure, GCP, and SaaS costs in plain English. Anomaly detection, rightsizing, idle-resource cleanup, and Jira/Linear ticketing, all in your own Claude. Credentials never leave your machine.

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

AI-powered knowledge base for your Terraform modules. Index, search, compose, and audit - all from one place.

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.

peek records the user's actual logged-in browser (DOM via rrweb, console events, network metadata, optional response bodies via opt-in Deep capture) through a Chrome MV3 extension. The extension ships events through a native-messaging stdio bridge to a local MCP server (peek-mcp), which persists them to a SQLite database at ~/.peek/sessions.db. AI coding agents (Claude Code, Cursor, Cline, Windsurf) read sessions from the database via 10 MCP tools: Tool What it does list_recent_sessions List recently recorded sessions (id, origin, ts, event count). get_session_summary LLM-readable narrative summary of a session. get_session_console_errors Console errors recorded in a session. get_session_network_errors Failed/notable network requests in a session. get_user_action_before_error Last N user actions before a console error. generate_playwright_repro Generate a runnable Playwright test from a session. get_dom_snapshot Reconstruct the DOM at a given timestamp. query_dom_history Timeline of attribute/text changes for a selector. request_authorization Side-panel consent for write actions (Level 3). execute_action Dispatch a UI action (gated by permission level + destructive blocklist). Why local-first matters Every other "browser session for AI" tool ships to a vendor cloud. peek's SQLite + extension live on the user's machine — no remote endpoints, no telemetry. The privacy policy (docs/peek/PRIVACY_POLICY.md) is the source of truth. Install # 1. Add the MCP server to Claude Code claude mcp add peek -- npx -y @peekdev/mcp # 2. Install the Chrome extension from the Chrome Web Store # (link added once the CWS listing is approved)

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

Universal product search across 40+ stores (Amazon 22 countries, eBay 22 countries, Awin 15k merchants, AliExpress, SaaS, B2B) — 52 languages, x402 micropayments.

Control your Instagram from Claude — publish photos, reels, carousels, read insights, manage comments and DMs. 14 tools via Instagram Login API. One-click free Render deploy for Claude Web and mobile.

The workspace that thinks with you. Think, make, collaborate, and publish. Alongside your own personal AI. A living home for all your projects, ideas, memories, files, & meetings.

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.

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.

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).

GBOX provides environments for AI Agents to operate computer and mobile devices. Mobile Scenario: Your agents can use GBOX to develop/test android apps, or run apps on the Android to complete various tasks(mobile automation). Desktop Scenario: Your agents can use GBOX to operate desktop apps such as browser, terminal, VSCode, etc(desktop automation). MCP: You can also plug GBOX MCP to any Agent you like, such as Cursor, Claude Code. These agents will instantly get the ability to operate computer and mobile devices.

Appendix turns any AI health conversation into a board-certified physician's opinion — with a real prescription when clinically appropriate. Search medical literature and submit a clinical encounter for review, all from your agent.

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

toflow.ai is an AI-native outreach platform for B2B sales teams. Find leads, enrich contacts, and run campaigns across email, LinkedIn, and WhatsApp by chatting with AI. Connect to Claude or ChatGPT via MCP and your AI assistant handles the entire outreach workflow. Prospecting: Search LinkedIn with classic and Sales Navigator-style filters. toflow builds your list instantly. Enrichment: Verify emails, find phone numbers, and pull LinkedIn data through waterfall enrichment across 8+ premium sources. Sequences: Launch multichannel sequences across email, LinkedIn, and WhatsApp from one workflow. Automates connection requests, messages, InMails, and follow-ups. AI Agents: Autonomous agents handle prospecting, follow-ups, and inbox management. Hot leads routed to reps automatically. Unified Inbox: All replies from every channel in one place. CRM: Connects to Salesforce and HubSpot. Every action syncs back automatically. Trusted by 100+ sales teams.

CivilQuants computes audit-traceable Bills of Quantities for civil-engineering assemblies — culverts, manholes, retaining walls, pavements, drainage, earthworks — across four UK measurement standards. Parametric inputs in; a methodology-structured BoQ with every quantity traceable to its formula out, exportable to Excel, DXF (CAD) and PDF.

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

AI Agent 岗位模拟面试 MCP Server —— 基于 FAISS + bge-base-zh-v1.5 构建的 RAG 知识库，为 AI Agent 技术面试提供语义检索、分级题库和个性化学习路径。

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.

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

A universal gateway MCP server providing seamless integration with multiple AI models and services through a unified interface.

Local daemon that tracks Claude Code and OpenCode sessions in real-time. Exposes an MCP server so Claude can query its own usage mid-session: quota status, session cost, top tools, weekly insights, burn rate, and model breakdown. No cloud, no accounts — everythin stays on disk.

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基于Anduin2017 / HowToCook （程序员在家做饭指南）的mcp server，帮你推荐菜谱、规划膳食，解决“今天吃什么“的世纪难题； Based on Anduin2017/HowToCook (Programmer's Guide to Cooking at Home), MCP Server helps you recommend recipes, plan meals, and solve the century old problem of "what to eat today"