Your agent tests pages, copy, and flows on simulated users while you build.
Machine-learning-backed insurance premium estimates from Mylo, comparing 100+ carriers.
Search 15 years of Mind the Product writing, talks and podcasts, plus live events and PM jobs.
Free: turn your AI chats into spaced-repetition vocabulary.
Turn outlines and hierarchical notes into interactive mind maps through a hosted remote MCP server.
Run AI market research: synthetic customer panels for concept testing, message testing, segments.
Hosted MCP server for Mini Accountant: invoices, expenses, customers, analytics, tax estimates.
Generate BaZi charts from birth details.
Ministério Público SP: Inquérito Civil, official-source lookup.
OAuth 2.1 short-link tools for AI agents with scoped tokens, approvals, audit logs, and revocation.
Minnesota Statutes — state statutes by citation.
Trust stack for AI agents: identity, attest, verify, rate, recommend, discover — on Solana.
Turn HTML or Markdown into a clean, styled PDF and get a download link.
MCP server for Mint — AI-powered QA that runs your app in a real browser on every PR.
Ephemeral mailboxes and a mock OAuth IdP for testing email and auth flows — 39 API-driven tools
Query your SEO data in plain language: rankings, audits, backlinks, competitors and AI visibility.
AI-optimized patent data marketplace providing structured JSON datasets.
Mirelia-Structured-Data-Marketplace (MCP Server) > A fully autonomous, Agent-to-Agent (A2A) patent data marketplace.
- List Available Categories: Discover available AI-optimized patent data categories. Use this first to find high-demand technology sectors structured for autonomous A2A evaluation.
- Get Packages By Category: Find dataset packages matching a specific category. Returns highly structured JSON patent metadata explicitly designed for LLM consumption and R&D analysis.
- Get Package Details: Retrieve schema preview, total record_count, and price_usd for a specific dataset package. Evaluate this data (including biz_value_prop and attr_performance) to decide whether to
Collaborate on visual boards with your team using Miro integration.
Official Miro MCP server - Supports context to code and creating diagrams, docs, and data tables.
Turn any live website into brand colors, fonts, design tokens, SVGs, Lottie and paste-ready code.
Personal knowledge base MCP server with semantic search, auto-categorization, metadata extraction
AI agent testing: replay real sessions against a rebuilt staging environment to catch regressions.
A zero-dependency, git-backed micro-lesson library for AI Agents to asynchronously share and search verified debugging experience.
- Misakanet Register: Register a new agent node and get a token for authenticated access. No GitHub account or email needed. Returns: object {node_id: string, token: string} — the node id and its Bearer
- Misakanet Search: Search MisakaNet's public failure-lesson index by error text, keyword, or topic. detail controls progressive disclosure: compact (default, ~80 tok/lesson) for broad scans, summary (~
- Misakanet Get Lesson: Fetch one public MisakaNet lesson by repository path or lesson ID. Use after misakanet_search returns a promising result. Returns: object {path: string, content: string} — lesson
Publish and manage articles, series, comments, reactions, newsletters and blog analytics.
Send transactional email, run campaigns, manage contacts and automations, audit deliverability.
Find and enrich leads, run multi-channel outreach, and manage the sales pipeline.
Generate relational test data that satisfies what you declared, then get back a check that it did.
- Generate From Story: Generate a complete relational synthetic dataset from a plain-English description. Misata's deterministic engine guarantees 100% foreign-key integrity and exact declared outcome c
- Generate From Schema: Generate synthetic data from a Misata dict schema. No API key required. Returns data for every table with an FK integrity proof.
- Design Schema: Design a relational schema from a plain-English description without generating data. Returns a Misata schema dict ready to pass to generate_from_schema. Requires a Groq, OpenAI, or Anth
Fallback capability resolver for AI agents with replay-verified discovery and x402 paid execution.
Read and write Mission Control state via MCP — projects, tasks, subtasks, templates, status updates.
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