Airylark Translation

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

28 WhoisXML API tools for AI agents — WHOIS lookups & history, reverse WHOIS, DNS lookup & history, reverse DNS/MX/NS, IP geolocation, IP netblocks, SSL certificates, subdomain discovery, threat intelligence, domain categorization, email verification, typosquatting detection, and bulk variants for batched lookups. Stdio and Streamable-HTTP transports, OAuth 2.1 with PKCE for hosted mode, npm and Docker distributions.

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

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

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。

AI image generation using various models

The match graph for AI. Search 100,000+ capabilities across 13,000+ AI artifacts — models, agents, MCP servers, APIs, frameworks, CLIs, and more. Every query learns from the graph, making the next search smarter. 10 tools: search, find_mcps, get_artifact, compare, find_stack, resolve_capability, trust_passport, feedback, subscribe, unsubscribe. Install: npx -y @unfragile/mcp-server

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

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

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

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

The match graph for AI. Search 100,000+ capabilities across 13,000+ AI artifacts — models, agents, MCP servers, APIs, frameworks, CLIs, and more. Every query learns from the graph, making the next search smarter. 10 tools: search, find_mcps, get_artifact, compare, find_stack, resolve_capability, trust_passport, feedback, subscribe, unsubscribe. Install: npx -y @unfragile/mcp-server Website: https://unfragile.ai npm: https://www.npmjs.com/package/@unfragile/mcp-server

MCP server for querying Janus analytics — let your AI agent check your dashboard, events, funnels, and usage.

Write notes to Flomo

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.

Web content fetching and conversion for efficient LLM usage

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。

Create a remote sandbox that can execute code/run commands/upload and download files. 创建远程沙盒，可以执行代码/运行命令/上传下载文件

Security scanning for Claude Code, Cursor, Windsurf. Detects secrets, scans MCP configs, generates threat models.

Architecture Diagrams Built and Maintained by AI

Model Context Protocol server for the Lacuna Music API — generate AI music from Claude Desktop, Claude Code, Cursor, Zed, and other MCP-compatible clients.

Comprehensive astrology MCP exposing every endpoint of the AstroWay Calculation API as tools — natal charts, synastry, transits, Vedic dashas (Vimshottari, Yogini, Ashtottari, Kalachakra), 16 Vargas, Tarot (Rider-Waite-Smith / Marseille / Lenormand), Numerology (5 systems), Human Design, AI horoscopes. Sub-arcsecond Swiss Ephemeris precision. 10 000 free credits/month, no card required.

Verify AI agent tool calls with content-addressed, HMAC-attested receipts. Free third-party verification API for AI agents. Call verify_action(claim, evidence) to get an independent integrity check on whether your claimed action matches the actual evidence. Useful for catching silent failures: incorrect SQL operations, file-op mismatches, API call inconsistencies, and code-diff scope creep. Five specialized verifier kinds: - code_diff: verb / path / identifier coherence with unified diff - db_op: row delta + SQL operation + ID match - file_op: existence state + line/size delta - api_call: request body and response status coherence - generic: conservative fallback Returns: - aar_verdict: verified | contradicted | insufficient_evidence | unsafe_to_verify - verdict: ok | mismatch | uncertain (legacy 3-value alias) - reasoning, confidence - receipt: verify_action_receipt.v0 with HMAC-SHA256 signature, content-addressed via SHA-256 hashes of claim and evidence Cross-vendor: works with Claude Code, Cursor, Cline, Codex, Codeium, and any MCP-compatible harness. Stateless, per-request, no API key, no registration. Pure Python stdlib (no pip install). Anonymized telemetry only — no PII, no model fingerprint, no raw claim/evidence retention. Honest scope: this is a small reference implementation, not a canonical inter-vendor standard. v0 receipts use HMAC-SHA256 (symmetric, single-issuer); v1 with ed25519 + multi-issuer is on the roadmap. The hosted endpoint has no SLA — self-host for stability (git clone && ./start.sh). 90-day probe with explicit kill criteria. If adoption appears, v1 schema work begins. If response is null, the null is itself a publishable data point.

PriceOf is an MCP server that gives your AI agent access to current, structured pricing data for SaaS products like Notion, Slack, GitHub, Figma, Linear, Vercel, and 45+ more. Instead of scraping pricing pages (unreliable) or hallucinating (often wrong), your agent makes a single call to get clean, verified pricing. Features: - Full pricing breakdown for any tracked product (plans, features, prices) - Side-by-side comparison with team-size cost calculation - Search by name or category - Confidence + freshness scores on every response - Automatic data refresh every 3-14 days Access tiers: 20 queries/day anonymous (no signup), 100/month free with API key, paid tiers from $29/mo.

petromcp is a small MCP server that lets Claude (or Cursor, or Codex CLI, or anything else that speaks MCP) read .las well log files directly. If you have ever tried asking an LLM about a well log you know the workflow today is to copy-paste curve values into the chat. Petroleum file formats are binary or semi-structured and the hosts can't open them. The current release wraps lasio (the established open-source LAS parser) and exposes five tools: read_las_file, summarize_las_curves, read_las_curve, compare_well_logs, and convert_units. There is a strict path allowlist by default, the server makes zero outbound network calls, and the only data that leaves your machine is whatever the host application would have sent to its language model anyway. DLIS, SEG-Y headers, and pump card data are queued for the next releases. Repo, install instructions, and tool reference are in the README. Feedback on the QC heuristics from anyone with a petrophysics background would be particularly welcome. They are defensible defaults but I would rather have them shaken out than discover problems after a launch demo. If you have the repo cloned, the server config is: { "mcpServers": { "petromcp": { "command": "uv", "args": [ "run", "--no-sync", "--project", "/absolute/path/to/petromcp", "petromcp", "serve" ] } } } Else, you can use { "mcpServers": { "petromcp": { "command": "uvx", "args": [ "--from", "git+https://github.com/ameyxd/petromcp", "petromcp", "serve" ] } } }

staffSign MCP Server — Digital employment contracts for HR and staffing agencies. Create, send, and track e-signatures via AI agents. 12 tools including QES (eIDAS) support. Pay-per-use, no subscription. Built for the DACH market, EU-compliant.