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

LADU’s MCP server connects AI assistants directly to LA County ADU data. Ask about any address and get a plain-English buildability verdict, the parcel’s zoning and regulatory overlays (hillside, coastal, fire, flood, historic, fault zones), and the governing city’s ADU rules. Query permit statistics for any of 51 supported LA cities — totals, year-over-year trends, and valuation distributions from 19,000+ cleaned permit records going back to 2018. Compare two cities side by side, estimate project costs by type and finish level, or find permitted ADUs near an address.

LADU’s MCP server connects AI assistants directly to LA County ADU data. Ask about any address and get a plain-English buildability verdict, the parcel’s zoning and regulatory overlays (hillside, coastal, fire, flood, historic, fault zones), and the governing city’s ADU rules. Query permit statistics for any of 51 supported LA cities — totals, year-over-year trends, and valuation distributions from 19,000+ cleaned permit records going back to 2018. Compare two cities side by side, estimate project costs by type and finish level, or find permitted ADUs near an address.

Postal mail API for AI agents. Send letters, certified mail, postcards, and documents from code via MCP, with sandbox keys, webhooks, tracking, proof, and inbound mail context from a business address, PO box, office, home address, or virtual mailbox.

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

Connect your AI assistant to IndoTender — Indonesian government procurement data via the Model Context Protocol. Search LPSE tenders, procurement realisasi, company profiles, treasury payments, and government agency directories — all from your AI chat.

Job search and interview prep MCP. 11 tools spanning job discovery, role intelligence, practice question generation, resume scoring, comp benchmarks, and negotiation strategy. Cross-LLM via the hosted endpoint with OAuth 2.1.

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.

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.

Turn the web into structured, reliable, actionable enterprise data for AI Agents"

Send SMS/MMS, manage contacts and groups, build workflows, fetch reports, manage webhooks, query account state

MCP server for hot-swapping llama.cpp models in Claude Code - launchctl (macOS) + systemd (Linux)

Open source contribution manager with PR tracking across repos, issue discovery, CI failure diagnosis, and maintainer response drafting. 21 MCP tools, 5 resources, 3 prompts.

Exposes the Mouser Search API as MCP tools so MCP-aware clients (Claude Code, Claude Desktop, etc.) can query Mouser's parts catalog.

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.

Use TradeOS MCP Server to bring your trading data, indicators, strategy logic, and agent workflows into MCP-compatible AI tools. Copy your server URL, add it to GPT or Claude, and let your AI assistant work directly with your TradeOS trading intelligence.

GPT Scrambler is a free online tool that helps you rewrite AI-generated text and make it sound natural, human, and original. Whether it's a ChatGPT essay, blog post, or email — our AI writing scrambler helps you bypass AI detectors and create authentic content in seconds.

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

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

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.

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

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"

Official MiniMax Model Context Protocol (MCP) server that enables interaction with powerful Text to Speech, image generation and video generation APIs.

A Serper MCP Server

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

高德地图官方 MCP Server

Playwright MCP server

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。

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.

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.

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

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

A Model Context Protocol Server connector for Perplexity API, to enable web search without leaving the MCP ecosystem.

Model Context Protocol server that integrates AgentQL's data extraction capabilities.

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

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

The new purpose-built IDE to harness magic

The second fastest AI chatbot™

The AI Code Editor

Visual Studio Code

Your AI Partner on Desktop

A web-based graphical interface for AI chat interactions with support for multiple AI models and MCP (Model Context Protocol) servers.

🍒 Cherry Studio is a desktop client that supports for multiple LLM providers.

HyperChat is a Chat client that strives for openness, utilizing APIs from various LLMs to achieve the best Chat experience, as well as implementing productivity tools through the MCP protocol.

Autonomous coding agent right in your IDE, capable of creating/editing files, executing commands, using the browser, and more with your permission every step of the way.

A Tiny Terminal Chat App for AI Models with MCP Client Support

⏩ Create, share, and use custom AI code assistants with our open-source IDE extensions and hub of models, rules, prompts, docs, and other building blocks

Roo Code (prev. Roo Cline) gives you a whole dev team of AI agents in your code editor.

5ire is a cross-platform desktop AI assistant, MCP client. It compatible with major service providers, supports local knowledge base and tools via model context protocol servers .

Call MCP Server Tools Online

Lutra is the first MCP compatible client built for everyone

Open-source AI Agent for VS Code and JetBrains that autonomously solves coding tasks end-to-end.

Enables cloud-based AI services to access local Stdio based MCP servers via HTTP requests

Code at the speed of thought – Zed is a high-performance, multiplayer code editor from the creators of Atom and Tree-sitter.

ChatMCP is an AI chat client implementing the Model Context Protocol (MCP).

FullMention gives you structured visibility data from ChatGPT and Gemini in one single API call per keyword. Pull brands, websites, and products simultaneously without running 20+ separate query loops. Save massive API costs while unlocking complete market dominance insights.

Gateway connector between LLM agents and world data. Official Model Context Protocol server for the Sugra API, backed by a bundled endpoint catalog and operation_id calls. Works with Anthropic Claude, OpenAI GPT, Google Gemini, xAI, and any MCP-enabled IDE. Client details: Anthropic Claude: Claude Desktop, Claude Code (CLI), claude.ai (web) OpenAI GPT: ChatGPT (via MCP connector) Google Gemini: Gemini CLI, Gemini Code Assist (VS Code + JetBrains) xAI: Remote MCP Tools in xAI SDK and Responses API IDEs: VS Code (native), Cursor, Zed, Cline, Continue.dev, Windsurf Custom agents: anything built on the Python or TypeScript MCP SDK

A local-only macOS Model Context Protocol server that exposes your Proton Mail account to Claude Desktop and Claude Code via Touch-ID-gated tool calls.

MCP server for German & EU law. Verified, citable legal context for any LLM. Daily updates from official sources, hosted in Germany

E2Easy is a codeless end-to-end testing platform that lets non-technical users and founders create, manage, and run automated browser tests without writing a single line of code. It combines a browser extension for manual recording with an AI-powered Claude Connector that lets you describe tests in plain English.

Your Odoo, driven by AI. Aidoo exposes your Odoo tools to Claude and ChatGPT through the MCP protocol. The AI understands your request, calls the right tools on your ERP.

Official npm package for Misar.Blog MCP — install with `npx -y @misarblog/mcp@latest`

AI GPT Image is an online GPT Image 2 AI image generator and editor that helps users create, edit, upscale, and transform images with text prompts and reference photos. It supports text-to-image generation, image-to-image transformation, natural language image editing, AI image upscaling, and AI video creation workflows. Powered by GPT Image 2, AI GPT Image is designed for high-quality visual creation with stronger prompt understanding, improved text rendering, multilingual visual design, realistic lighting, detailed textures, and better style consistency. Users can create realistic portraits, product photos, YouTube thumbnails, social media graphics, posters, UI mockups, infographics, character concepts, cinematic storyboards, and commercial design assets in just a few steps. AI GPT Image is suitable for creators, designers, marketers, e-commerce sellers, bloggers, YouTubers, startup teams, indie hackers, AI creators, and anyone who wants to generate professional images online without complex design software. It is especially useful for social media content, advertising creatives, product marketing, blog covers, visual storytelling, image editing, and AI image-to-video workflows.

**Myriade** is the AI-native data platform for exploring, cataloging, and governing data warehouses. This MCP server exposes Myriade's data analyst capabilities to any compliant client (Claude Desktop, Cursor, VS Code, Copilot, etc.). Once connected, your AI client can: - **Discover** — `list_databases`, `list_tables`, `get_table_schema`, `get_database_info` - **Sample & query** — `sample_data`, `query` (read-only, governance-enforced) - **Browse the catalog** — `search_catalog`, `read_asset`, `update_asset` (descriptions, tags, status) - **Ask the analyst** — `ask` runs Myriade's data analyst agent end-to-end on a natural-language question, returning a synthesized answer with deep links into the Myriade UI for queries, charts, and documents All requests are scoped to the authenticated user's organization, run in read-only mode, and respect Myriade's governance policies (PII masking, table-level ACLs). **Auth:** OAuth 2.1 with Dynamic Client Registration. Sign in once with your Myriade account; tokens are scoped to your org. **Self-host:** Available — see https://github.com/myriade-ai/myriade-private for setup. The hosted version at `app.myriade.ai` is the easiest way to try it.