mcp-render-server

The first Model Context Protocol server for GUM-compliant measurement uncertainty analysis. Built for ISO/IEC 17025 calibration labs, ISO 10012:2026 measurement management systems, and KOLAS / A2LA / UKAS accredited testing. Exposes 10 tools: Type A/B uncertainty, combined standard uncertainty, Welch-Satterthwaite effective DoF, expanded uncertainty with coverage factor k, Monte Carlo propagation (JCGM 101:2008), and pre-built KOLAS-ready uncertainty budget templates (CMM, CD-SEM, DMM, thermocouple, balance, OCD). Standards-referenceable to JCGM 100:2008 (GUM). Works in Claude Desktop, Cursor, Windsurf, Cline. Hosted endpoint, no install required.

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

One API for Search, Crawling, and Sitemaps

One-line description: Log Indian meals with your AI using accurate data. India's official IFCT 2017 nutrition tables + USDA (8,335 foods), by text or photo. Local-first, open source. Long description: An MCP server that gives Claude (and soon ChatGPT) accurate Indian food data. Most calorie databases are US-centric and wrong for home-cooked Indian food. This wraps India's official Food Composition Tables (IFCT 2017, National Institute of Nutrition) plus USDA. Log by talking ("2 rotis and a katori of dal") or by photo; the model identifies the food, the database supplies the numbers (no LLM guessing), and your history feeds back so the AI can coach you against what you actually ate. Local SQLite, no account, no telemetry. AGPL-3.0. Tools: search_food, log_meal, get_day, get_history, edit_entry, delete_entry, fetch_image

Official LatLng MCP server for geocoding, reverse geocoding, places search, nearby POI lookup, and place categories. Powered by the LatLng API and OpenStreetMap data.

Your AI agent just got a marketing team. SendPulse MCP Server provides full access to the SendPulse marketing platform — email campaigns, CRM, chatbots, SMTP, and online courses. 134 methods across 5 modules.

Query realistic LLM cost models without leaving your editor. beforeyouship models the **true monthly cost** of an LLM app architecture — retries, prompt caching, batch discounts, infra overhead, and 3×/10× growth — across GPT-5.x, Claude, Gemini, DeepSeek, and more. Not a token calculator: a planning tool for the design phase, before you commit to a stack. **No API key needed to try it** — demo mode covers the six free-tier models. A Pro key from [beforeyouship.dev](https://beforeyouship.dev) unlocks the full 18-model catalog. ## What you can ask - "How much will a RAG chatbot cost at 10,000 requests/day?" - "Compare Claude Haiku vs Gemini Flash pricing for my workload" - "What's the cheapest model for a multi-step agent at scale?" - "Show me current per-token prices for Anthropic models" ## Tools ### `estimate_cost` Full cost model for an architecture at a given usage level. Returns Naive / Realistic / Worst Case monthly cost per model, 3×/10× growth scenarios, and an opinionated recommendation with reasoning. ### `get_model_prices` Current per-1M-token pricing — input, output, cached input, batch — with context windows and staleness metadata. ### `list_archetypes` Seven preset architecture patterns (simple chatbot, chatbot with history, RAG pipeline, multi-model router, coding assistant, document processor, multi-step agent) used as starting points for estimates. ## Setup **Claude Code:** ​```bash claude mcp add --transport http beforeyouship https://beforeyouship.dev/api/mcp ​``` **Cursor / other clients** — add a remote server: ​```json { "mcpServers": { "beforeyouship": { "type": "streamable-http", "url": "https://beforeyouship.dev/api/mcp" } } } ​``` Add an `Authorization: Bearer bys_...` header with a Pro key for the full catalog. ## Try it > Estimate the monthly cost of a RAG pipeline at 10,000 requests/day

Live Ethereum + Layer-2 gas-fee data for AI agents — current gas, cheapest L2, ETH price, best time to transact, and per-action cost estimates. Wraps the free gasfeepredictor.com API. No key required.

Calculate Human Design bodygraph charts from birth data, save people, compare charts, and analyse group dynamics — in any MCP client. Hosted remote server (Streamable HTTP, OAuth 2.0) by gethumandesign.com; free account to connect. Listed in the official MCP registry as com.gethumandesign.www/mcp.

AGHIST is the search portal for agricultural, food and environmental history. It is run by the Archive of Rural History (ARH) in Bern (CH) and provides direct access to online resources (films, photographs and written sources, as well as catalogue data of archive collections, academic texts, video essays, etc.) made publicly available by the ARH and its partner institutions in Switzerland and abroad.

Bulk domain checking for AI chats: availability, aftermarket prices, archive.org history, social handle links, and buy links. Your AI brainstorms names; check_domains reports what's real for up to 50 names across 6 TLDs per call. Free to start — 20 credits. Setup: https://namebrewery.com/mcp

solnk is a social media management platform that lets you schedule and publish content to nine networks — Instagram, TikTok, YouTube, X, LinkedIn, Pinterest, Facebook, Threads, and Bluesky — from one place. Its MCP server lets AI agents draft and publish social posts through a single interface, with a draft-first safety model so nothing goes live without review. Includes a content calendar, team approval workflow, and analytics. Start free at solnk.com.

Remote MCP server with 10 tools: live brand AI-visibility audits (score 0-100, who AI recommends instead), AI Visibility Index dataset (25 brands, 5 industries), trucking profit & cost-per-mile calculators, DeFi yields, crypto prices, US Treasury rates, and macro risk-spread. Free catalog tool; paid tools are machine-payable per call via x402 (USDC on Base) — no API keys or subscriptions. Endpoint: https://x402-agent-store.rileycraig14.workers.dev/mcp

Trust ratings for AI agents and websites. Look up an agent's reputation, scan a site's AI-trust-readiness, and verify signed scorecards in-band — reads are zero-auth. From Mnemom, the trust layer for the agent internet.

An MCP server that flattens Claude Code sessions — keeping every prompt and event verbatim while reclaiming context tokens, so you resume the exact same raw conversation at a lower token count instead of compacting it into a lossy summary. It moves bulky tool output (large file reads, command logs, base64 screenshots) into a sidecar file, leaving a tiny retrievable reference in its place. Crash-safe, idempotent, and fully reversible. Real example from the README: a 317,236-token session flattened to 182,287 tokens.

AgentLine is the telephony layer for AI agents. It gives your agent a real phone number making outbound calls, receiving inbound calls, and handling SMS all through a single API. No telecom infrastructure, no WebSocket wrangling, no separate STT/TTS providers to configure.

Download DocSend and Papermark links as files. Converts decks to PDF or PPTX and data rooms to a ZIP of PDFs, including email-gated and passcode-protected links.

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

AI image generation using various models

Hosted MCP server for source-provenanced US federal healthcare provider data — NPPES, CMS PECOS, Care Compare, OIG LEIE, Open Payments. Every field returns with its exact federal source, snapshot date, and SHA-256 attestation. Public data only; no PHI. Install: npx -y @fonteum/mcp

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.

Know what every affiliate link actually earns, and fix what's bleeding revenue. See revenue per article, catch dead links before they cost you, and ask it anything in plain English. Works on any site.

A read-only trust + intelligence layer between AI agents and your database — the agent never writes SQL, PII is refused before the query runs, and every call lands in a tamper-evident audit log. Postgres today.

Cross-source attribution across 37+ business tools. True ROAS in 14 seconds. Not a dashboard. A decision.

The orkestr MCP server gives AI agents full control of the orkestr deployment platform over the Model Context Protocol. From an MCP client an agent can create and manage projects from a GitHub, GitLab, Bitbucket, or Codeberg repo, spin up environments, trigger and roll back deployments, deploy and invoke serverless functions, provision and back up managed PostgreSQL and Redis add-ons, manage custom domains, and read live logs, build logs, metrics, and health, all on infrastructure that stays in the EU.

Pay-per-call MCP server for AI agents. Check whether ChatGPT, Perplexity, or Google AI recommends any brand — score 0-100, mention rate, and the competitors AI names instead. Also serves the 25-brand AI Visibility Index dataset, US Treasury macro data, DeFi yields, crypto prices, and trucking load-profit calculators. Paid tools settle per call in USDC on Base via x402 — no API keys, no signup. Install in Claude Desktop or Cursor. Premium brand check $0.95. Free human checker: https://aivisibility.agentexchange.work · Leaderboard: https://index.agentexchange.work

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.

Playwright MCP server