Unified MCP Tool Graph: A Intelligence Layer for Dynamic Tool Retrieval

Extract structured data from PDFs and documents with Suparse AI OCR.

Build structured intent specs through Socratic AI conversation (zero-config), or connect to your Pathmode workspace for strategic context, dependency graphs, and team governance. v1.5.0 ships with a Claude Code skill pack — 7 auto-triggering skills (compile-intent, grill-intent, verify-intent, review-against-intent, split-intent-to-issues, handoff-intent, setup-pathmode-workflow) installable via `npx @pathmode/mcp-server install-skills`. Makes agents build the right thing, not just any thing.

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"

Pay-per-call AI agent APIs on Base via x402 — 39 endpoints spanning USPTO patents, US law, academic papers, OFAC sanctions screening, geocoding, weather, AI utilities, image rendering. No signup or API keys — each call settles instantly in USDC.

A read-only Model Context Protocol server for Valve's public Steam Web API and storefront. Ask about your friends and games, playtime and achievements, as well as get game suggestions based on your library. Plus account-independent things like sales, reviews, live player counts, Steam Deck compatibility, discovery, and recommendations — bring your own free Steam API key.

基于七牛云产品构建的 Model Context Protocol (MCP) Server，支持用户在 AI 大模型客户端的上下文中通过该 MCP Server 来访问七牛云存储资源、利用 Dora 服务进行图片操作等。 如果有什么需求欢迎在下方评论，您也可以在 github 仓库中提 issue。

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

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.

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

The Milvus MCP server enables AI applications to interact with Milvus vector databases using natural language commands. It allows AI models to perform vector searches, manage collections, and retrieve data without writing custom database queries. This integration facilitates seamless access to vector data, enhancing the capabilities of AI tools like Claude Desktop and Cursor.

Location services, directions, and place details

Browser automation and web scraping

Repository management, file operations, and GitHub API integration

Retrieving and analyzing issues from Sentry.io

Search 600,000+ CS/AI/ML papers with citation-graph traversal, full-text extraction, embeddings, and BibTeX export, inside Claude Code, Cursor, and other MCP clients.

Web content fetching and conversion for efficient LLM usage

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.

Web and local search using Brave's Search API

Service name: Scrape Agent Service base URL: https://scrapeagent.xyz Website URL: https://scrapeagent.xyz Email: your email Category: Data Description: Pay-per-use web scraping API built on x402. Extract clean text, links or HTML from any URL for $0.01 USDC on Base. No API key, no subscription needed. Perfect for AI agents that need web data on demand. Endpoint paths: /api/scrape/x402 Notes: Endpoint returns HTTP 402 with valid accepts[] payload on both GET and POST requests without X-PAYMENT header. Custom domain, landing page at root, OpenAPI spec at /openapi.json.

summarize chat message

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

Read-only database access with schema inspection

MCP server for interacting with Neon Management API and databases

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

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