"Construction cost estimate information" matching MCP connectors:

AI agent infrastructure: dedup, cost prediction, validation, governance, failure intelligence.

Video generation cost estimates across providers, with provenance, freshness, and confidence.

Compare up-to-date pricing for 40+ LLMs (incl. Chinese) & estimate cost from tokens. EN/zh.

Pre-flight, probabilistic token-spend estimate (range, scenario, confidence) for a coding task.

Scans text for personally identifiable information — emails, phone numbers, SSNs, credit card numbers, physical addresses, names — and returns a redacted version. Built for agents sanitizing user content, support tickets, logs, or documents before storage, sharing, or feeding into another LLM call. Pay-per-call via x402 (USDC on Base): $0.01/call, no account or API key. tools/list and /openapi.json are free for discovery.

Hosted MCP server for Retro Diffusion. Generate authentic, grid-aligned pixel art — sprites, characters, animations, and tilesets — from Claude, Cursor, VS Code, Windsurf, or any MCP client. 90+ styles, free cost estimation, pay-per-generation with no subscription and credits that never expire.

Will a local LLM run on your hardware? GGUF quant, buy-vs-rent-vs-API cost, used-GPU prices.

Polski software house B2B: 5 public + 7 OAuth 2.1 private MCP tools (AI estimate, draft, risk).

Cloudflare Workers MCP server: ai-cost-optimizer

Cost-optimized LLM model routing recommendations for autonomous AI agents

Construction data API for AI agents: calculators, codes, costs, products, benchmarks.

Paid remote MCP for context-budget routing, schema cost estimates, usage audits, and readiness.

Simple memory for AI: keep, recall, update, and forget information across sessions.

Verified cloud cost forecasting for AI agents. AWS, GCP, Azure pricing matrix.

Verified cloud cost forecasting for AI agents. AWS, GCP, Azure pricing matrix.

AI-powered job cost estimator for skilled trades with material and labor breakdowns

Primary Purpose: Resolves real-time pricing, token-costs, and unit-efficiency for 500+ AI/SaaS providers. Key Capability: Normalizes disparate billing units (GPU Hours, Credits, 1M Tokens) into a standardized "Cost-per-Generation" metric. Context: Essential for agents performing "Cost-Benefit Analysis" or "Automated Model Switching." Accuracy: March 2026 Ground-Truth (Verified via Exa Semantic Search).

AI code reviewer for GitHub pull requests. Read-only access to your CodeMouse accounts, repositories, and PR reviews — status, duration, cost, tokens, and per-provider runs.