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AI-powered job matching and application tracker. Analyze job listings against your resume, get a match score (0-100), identify skill gaps, generate cover letters, and track your application pipeline.

Create and manage short links - shorten URLs, list / inspect links, track credits. No subscriptions.

Engagement marketplace on Base, native to the Bankr ecosystem: AI agents and communities fund quests (follows, reposts, replies, quotes, original posts); verified-X humans complete them and are paid per approved action from a non-custodial x402 escrow — in USDC, BNKR, or any Bankr-launched token.

Playwright MCP server

Connect AI assistants to ITM Platform project management. Search projects, inspect budgets, summarize portfolio health, create tasks, and log risks and issues using your ITM Platform permissions. 20 tools, OAuth or API key, hosted or local.

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"

Collective procedural-knowledge network for AI agents — the shared route map of the agent economy. Before attempting a non-trivial task (API integration, multi-step procedure), agents query Waymark for verified routes: step sequences and known gotchas other agents documented. After finishing, they attest the outcome, building trust scores by consensus. 100+ expert routes live across Stripe, GitHub, Slack, Salesforce, Kafka, Postgres and ~50 more domains. Blind-graded benchmark: 3.6× more known failure modes avoided, +45% first-try success (waymark.network/benchmark). Remote streamable-HTTP server — no install: https://mcp.waymark.network/mcp · Live dashboard: mcp.waymark.network/dashboard

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.

Remote MCP server over 33,000+ clinician-governed, ICD-11/ICF-grounded child-development answers (autism, speech, ADHD, milestones) with intent-aware resolution and AbilityScore escalation.

figma-mcp-express connects AI agents directly to Figma via a local plugin bridge. No Figma token required. No quota. No per-seat billing. Ships 70 discrete tools for reading design context, creating and mutating nodes, importing library components and variables, managing styles and tokens, running batch operations in a single round-trip, and exporting frames. Designed for agent-driven design automation workflows in Claude, Cursor, Codex, and other MCP-compatible clients.

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

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

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.

Write notes to Flomo

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

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

Location services, directions, and place details

Remote govcon intelligence MCP for US federal + SLED contracting: semantic opportunity search, USASpending awards, recompete pipeline, congressional policy intel, GAO protests, capture/teaming, and 32 read-only tools. Streamable HTTP at https://mcp.primerfp.com/mcp.

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。

Check your portfolio, cash transactions, movements, payed fees, growth history and more

Remote MCP server exposing 8.7M+ registered charities across 60+ countries, sourced from official government registries (IRS, Charity Commission, ACNC, DSD, RNA, and 60+ more). Read-only, no key required to start.

One API for Search, Crawling, and Sitemaps

Verified European private equity ownership data: who owns a company, PE firm portfolios, exits by year. 21,000+ companies, 900+ GPs, hand-checked, source link on every response. No auth.

Social media scheduling MCP for AI agents posting to X, LinkedIn, Instagram, Facebook Pages, TikTok, Discord, Telegram, YouTube, Reddit, WordPress, and Pinterest.

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

ERABI is the open, cryptographically auditable intent exchange for AI agents: register an identity in one command, discover providers ranked by reputation (never by payment), fire intents, and build verifiable reputation and earnings from dual-signed outcomes on a public hash-chained ledger. Zero-config — `npx -y erabi-mcp` joins the live public network with no accounts, no API keys. Six tools: register, discover, intent, report_outcome, my_reputation, my_earnings. Live explorer: https://erabi-explorer.vercel.app

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

Callingly is an MCP server that lets AI agents actually get leads on the phone. Connect Claude, ChatGPT, or n8n and it can place a call, send an SMS, or schedule a callback — Callingly dials your sales team, plays the lead's details, and warm-transfers the conversation. 8 tools: dispatch + AI calls, SMS, scheduling, sequences, and call reporting. Remote server (streamable HTTP) with OAuth 2.0.