Cline Memory Bank

פודקאסט על AI, למידת מכונה, בינה מלאכותית, תכנות וטכנולוגיה

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。

Secure file operations with configurable access controls

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

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

GitLab API, enabling project management

Stripe revenue monitoring, HubSpot-to-Xero invoicing, and QuickBooks P&L generation. Free MCP server by Espergrid. Enterprise implementation available. *Need custom deployment? espergrid.com offers white-glove implementation starting at $1,499.*

Canonical vocabulary server for autonomous business design. Exposes the Arco Lexicon as seven MCP tools: term lookup, related terms, alignment verification, citation formatting, source retrieval, term listing, and term suggestion. No authentication required. Streamable HTTP transport.

Institutional cross-border settlement rail for AI agents — any currency pair, ~75-120 bps via Base mainnet. 11 tools: quote, ESG scoring, oracle status, fee verification, competitor benchmarking, and on-chain settlement. ESG-linked fees, MiCA/FCA/Basel III-aligned, on-chain verifiable receipts.

Serveur MCP HACCP francophone — réglementation sanitaire française pour restaurants, boulangeries, boucheries et métiers de bouche. Températures réglementaires, DLC, allergènes, rappels produits RappelConso, sanctions DDPP, score Alim'confiance, actions correctives et comparatif solutions.

Comprehensive Korean movie and TV database with Nielsen Korea episode ratings, KOBIS box office, MyDramaList tags, JustWatch streaming, and 5 award ceremonies. 17 tools, 10 data sources.

MCP server for Archivarix Tube Search — search archived YouTube videos including deleted content. Channel discovery, full-text search, video metadata, transcripts, and AI-generated summaries via the Wayback Machine. 1.5B+ videos indexed since 2005.

summarize chat message

Non-custodial RWA + yield service for AI agents on Solana. Compare yields, quote/buy/sell tokenized US equities (Backed xStocks: NVDAx, AAPLx, TSLAx, SPYx) and tokenized treasuries (Ondo USDY, ~4.6% APY). Funds stay in your existing Phantom wallet — we never custody, never sign. The MCP returns unsigned Solana transactions plus a one-click Phantom sign URL. You sign in your wallet, our backend broadcasts via reliable RPC. 10 tools: compare_yields, list_yield_tokens, list_xstocks, quote_tokenized_stock, get_portfolio, track_tx, build_deposit_yield_tx, build_buy_xstock_tx, build_sell_xstock_tx, build_withdraw_yield_tx. Auth: Phantom Sign-In with Solana → API key (no email, no password, no JWT expiry). Try the live e2e at https://autoyield.org

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。

Location services, directions, and place details

高德地图官方 MCP Server

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.

Self-hosted semantic memory layer for Claude and MCP-compatible AI clients. Store notes, search by meaning not keywords, and recall relevant context automatically. Built on Cloudflare Workers, D1, Vectorize, and Workers AI. Runs on the free tier. One-click deploy.

Book real local tradespeople — plumber, electrician, HVAC, and 7 more — via your AI agent. All US. Confirmed bookings with price and receipt. Sunrays is an agent-callable booking API for local home services. Your AI assistant can book a verified plumber, electrician, HVAC tech, handyman, locksmith, and more — at a real time and address — and get back a confirmed booking with price, receipt, and a refund×2 SLA guarantee. Coverage: United States. Categories: plumber, handyman, hvac, electrician, pest_control, appliance_repair, garage_door, locksmith, roofer, lawn_care.

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.

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

withlove is a chat-first link in bio for solopreneurs. Every creator gets one AI agent at one URL that takes orders, books their calls, quotes their real prices, and answers in their voice. This MCP server is the platform-level registry. Two tools: - search_agents — semantic search across every published withlove agent - get_agent — fetch a specific agent's full manifest including their per-agent MCP endpoint, OpenAPI, and capabilities After finding an agent through search_agents, follow upby calling that agent's per-agent MCP at https://withlove.so/<slug>/mcp for booking, ordering, pricing, file delivery, or message capture.

MCP server for semantic git queries. Walks the local `git` CLI plus optional GitHub API. Local-first; GH token only needed for PR/issue linkage. ## Why `git` answers these poorly: - "Who last touched this function?" — `git blame` only gives lines - "What PR introduced this line?" — manual blame → SHA → search GH - "Which files always change together?" — no built-in - "Show unmerged branches older than 30 days" — bash gymnastics - "What did I work on last week?" — manual log scrub LLM agents need this context to make safe edits. ## Tools | Tool | Purpose | |------|---------| | `who_touched` | Group blame by author. Lines, commits, last-touched, primary owner. | | `introducing_pr` | Find PR that introduced a line or commit. Merge-msg parse + GH API fallback. | | `co_change` | Files most often changed together with the input file. | | `branch_hygiene` | Branches w/ ahead/behind, last commit, merged status, stale flag. | | `recent_work` | Standup helper: author's commits + files + ins/del in a window. | | `commit_context` | Full commit context: subject, body, files, PR, related issues. | ## Install ```bash npm install -g git-insight-mcp claude mcp add --scope user git-insight -- git-insight-mcp

An MCP server and REST API that classifies Polymarket wallets as human or bot, scores their trading edge from 0–10, and streams their current open positions. Built for AI agents on copy-trading and signal-following stacks. # Use it from any MCP client (Claude Desktop, Cursor, etc.) pip install polymarket-intel-mcp polymarket-intel-mcp # Or call the hosted REST API directly curl https://polymarket-intel-production.up.railway.app/wallet/0xf1528f12e645462c344799b62b1b421a6a4c64aa How this fits with other Polymarket MCP servers There are several MCP servers covering Polymarket, each at a different layer: Server What it does When to use it polymarket-intel (this) Wallet intelligence — classify human vs bot, score trading edge, read open positions Deciding whose signals to follow graph-polymarket-mcp Market data via The Graph subgraphs (20 tools, 8 subgraphs) Reading raw on-chain market data whitmorelabs/polymarket-mcp Slippage, liquidity, arbitrage, price feeds Pricing your own trades joinQuantish/polymarket Self-hosted trading agent Running an autonomous bot These complement each other. A copy-trading agent would use polymarket-intel to filter wallets worth following, then graph-polymarket-mcp to read the markets those wallets are betting on, then whitmorelabs/polymarket-mcp to size its own entries. What it answers "Is this trader a human or a bot?" — score_polymarket_wallet(wallet_address) → returns classification ∈ {human, bot, insufficient_data} plus a confidence score and reason codes. "Do they actually have an edge?" — edge_score from 0–10, gated on net realised PnL so distributed-but-losing wallets don't get false positives. "What are they betting on right now?" — get_open_positions(wallet_address) returns live positions sorted by size, refreshed every 30s. "How has their edge changed over time?" — /wallet/{address}/history returns the score time series from the daily snapshots. Why this exists The Polymarket leaderboard is misleading. It includes unrealised PnL marked-to-current-price, so the names at the top are dominated by bots running structural arb plus a few wallets sitting on huge open positions that may never resolve in their favour. Agents that copy-trade naively from the leaderboard get burned. This service runs every leaderboard wallet through behavioural fingerprinting (focus ratio, holding period, timing regularity, category concentration) plus PnL reconstruction from raw activity, and only surfaces traders that look like genuine humans with a real edge. The dataset grows more valuable over time — every day the snapshot job runs, historical signals accumulate. Wallets that have been consistently above edge 7 for 90 days are a stronger signal than any single point-in-time score. Distributed as both a REST API and an MCP server Surface Use case Setup MCP server Agent that needs tool-style access pip install polymarket-intel-mcp REST API Custom HTTP integration, dashboards curl https://polymarket-intel-production.up.railway.app/... Hosted MCP Agent on any MCP-compatible client Add https://polymarket-intel-production.up.railway.app/mcp to client config Architecture ┌──────────────────────────────────────────────┐ │ core/ │ │ client.py — Polymarket data API client │ │ signals.py — pure signal calculators │ │ scorer.py — classifier + edge score │ │ models.py — Pydantic response schemas │ ├──────────────────────────────────────────────┤ │ db/ │ │ schema.sql — Postgres tables + indexes │ │ repository.py — Repository protocol + │ │ InMemoryRepository │ │ supabase_repo.py — Supabase impl │ │ converters.py — ScoreResult ↔ records │ ├──────────────────────────────────────────────┤ │ api/main.py — FastAPI HTTP server │ │ mcp_server/ — MCP server (stdio) │ │ scripts/ │ │ analyze_wallet.py — CLI │ │ snapshot_job.py — daily cron entry │ │ tests/ │ └──────────────────────────────────────────────┘ Core has no idea persistence exists. The API and snapshot job depend on the Repository protocol — Supabase in production, in-memory in tests and when env vars are unset. This is what makes the suite run without a database and what lets you swap Supabase for Neon, RDS, or anything else later by adding one file.

Repository management, file operations, and GitHub API integration