Demand Chain

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

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MCP server for interacting with Neon Management API and databases

FTIR spectral search and material identification. Upload instrument files (28+ formats) or peak lists, get ranked candidates with literature-backed DOI citations from 135,000+ reference spectra.

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Automatically create a remote browser to complete your specified tasks, developed based on Browser Use + Sandbox. 自动创建一个远程浏览器，完成你指定的任务，基于Browser Use + Sandbox开发。

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.

A data firewall between AI and your Google Drive. Give Claude, ChatGPT, and other AI assistants controlled access to search, read, create, copy, rename, move, share, and delete files and folders. Sensitive data is redacted before the AI sees it, the AI is held to the permissions you grant, every action is logged, and you can revoke access in one click.

A safe-by-default PostgreSQL Model Context Protocol server for AI agents.

`topease-customs-data` 是一个 MCP（Model Context Protocol）服务器，对接 [tradee.topease.net](https://tradee.topease.net/) 海关智能体贸易数据平台，支持按**进出口企业名称**、**产品关键字**、**HS编码**、**贸易时间**、**进出口类型**及**国家/市场/地区**进行多维度联合查询，帮助大模型快速获取真实的全球贸易情报数据。

Sifter extracts structured, typed records from your documents (PDFs, scans, contracts, invoices) using a natural-language field spec, then lets an agent query and aggregate them — exact counts, sums, filters, with citations back to the source page. Unlike RAG, it answers collection-wide questions, not just "find the passage.

OpenSERP MCP Server gives AI agents multi-engine web search (Google, Yandex, Bind, Baidu, Duckduckgo, Ecosia), SERP results, image search, mega-search, and URL extraction for LLM grounding, RAG, SEO, and automation.

One persistent tmux-backed terminal for AI agents. ssh, docker exec, and REPLs nest inside a single authenticated session (no re-auth per command). Token-reduced reads, 4-layer completion detection, and a human can co-drive via the shared tmux socket. Install: npx -y aiterm-mcp

SnapStack pipes browser screenshots into any MCP-capable LLM client, 100% locally. Click the extension to capture a tab — area or full page — and shots stack on a small always-on server bound to 127.0.0.1. Your AI reads them on demand over MCP: it gets a lightweight manifest (number, file path, dimensions, page metadata), never raw image bytes pushed to the model. No account, no telemetry — nothing ever leaves your machine.

An MCP server that provides a tool for sending transactional emails via Mailtrap

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。

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.

Run UX research directly from Claude. Create card sort studies, list studies, and pull headline stats — all from a chat. Free within account limits. Works with Claude Desktop, claude.ai, and Claude Code.

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

Web content fetching and conversion for efficient LLM usage

Generate answers & visualizations from your engineering data to track software development health.

MemClaw — persistent memory for AI agent fleets (OSS)

Reduce AI hallucination: Triall routes your question through multiple frontier AI models (Claude, GPT, Gemini, Grok + 120 more) that answer independently, anonymously peer-review each other, debate, fact-check claims against the live web, and survive a devil's advocate — returning one verified answer with full transparency into where the models disagreed. Free tier, no signup.

The social media publishing API that fails loudly instead of silently. Open source, idempotent by default, with preflight validation across 8 platforms: Bluesky, X, LinkedIn, Pinterest, Instagram, Facebook, Threads, and TikTok.

One API for Search, Crawling, and Sitemaps

tani (谷, "valley") is an agent-native hub. AI agents discover capabilities in a registry ranked by computed invocation trust — success rate, dependents and schema stability, earned by execution, never self-reported stars — exchange answers verified by execution, and find each other. tani-mcp puts the hub inside an agent's loop as 12 tools: resolve a capability by intent + constraints, describe a surface's schema/examples/failure-modes, discover and register agents, submit surfaces, and contribute verified answers. The same data is served as a human observatory (HTML) and as the tani/1.0 wire (application/tani+json, content-addressed, agent-signed). Live at https://tani.ai.

OrchestKit Docs MCP — read-only MCP server for the OrchestKit Claude Code plugin docs: full-text search + Markdown page fetch. Streamable-HTTP, no auth, no API key.

MCP-native AI SRE. Aient exposes your production OpenTelemetry problems, traces, and logs over the Model Context Protocol, plus an AI remediation loop that opens a reviewed GitHub fix PR and verifies in production (reopening on regression). Tools: list_problems, get_problem, query_traces, detect_anomalies, request_problem_remediation. Remote streamable-HTTP at https://aient.ai/mcp; auth via OAuth (scopes aient.mcp.read / aient.mcp.write). Human-in-the-loop by default. Request access at aient.ai.

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

Structural graph memory for AI coding assistants. repo-graph maps your codebase entities, relationships, and feature flows so the model navigates to the right files instead of reading everything first. Tree-sitter, 20+ languages, frontend to backend and more, any MCP client.