"Using ast-grep to Modify Code Programmatically" matching MCP connectors:
GET /v1/connectors — MCP directory API referenceMatching Connector Tools:
Deterministic liquidity and leverage ratio tools for AI agents — current, quick and cash ratios, defensive interval, debt-to-equity, debt-to-assets, equity multiplier and interest coverage via Model Context Protocol. Useful for corporate finance, credit analysis, financial analysis, financial formulas and financial modeling.
Production-safety audits for AI-generated code, with a fix for every finding. Scan for committed secrets and known vulnerable dependencies free with no key; a full audit returns a verdict with security, privacy, reliability and architecture findings, priced per audit and quoted before it runs.
Entity resolution — data mapping, SDK code generation, docs search, and error troubleshooting
AMZScout Skill + MCP gives AI agents live access to real Amazon marketplace data across 14 Amazon marketplaces. Analyze any ASIN, validate product ideas, research niches, compare competitors, discover profitable keywords, and build data-driven PPC strategies using trusted Amazon insights instead of AI assumptions. Works with Claude, ChatGPT, Cursor, and any other MCP-compatible AI client. To connect, you'll need an AMZScout API plan and authorize your account. Get access and view pricing here: https://learn.amzscout.net/amazon-product-api-for-ai-agents
Vilix AI is a persistent cross-AI memory layer natively built on the Model Context Protocol (MCP). Connect once, and your memory, projects, decisions, preferences, and conversation history will follow you across all your favorite, and any other MCP-compatible AI tools: ChatGPT, Claude, Cursor, Codex, Grok, Perplexity, and more. While memory tools solve the problem of switching between apps, Vilix AI also solves the problem of switching between devices: continue your conversation on your phone, then pick it right back up on your laptop minutes later, with full context. Stores actual conversations, not just extracted facts, and has been engineered for long-term storage with years of context rather than days. Exposes get_context (what to say based on relevant memory to recall) and save_turn (what to persist) as core MCP tools, and full project, task, and skill management for agents to track what work is being done. Use cases include ChatGPT memory, Claude memory, Cursor memory, and AI agent memory in a shared layer for founders and developers who are using multiple AI tools and tired of having to re-contextualize everything every single time. OAuth-based setup with no tokens required, including a free tier. See https://vilix.ai/get-started for more information.
Convert documents and web pages to clean Markdown: PDF, DOCX, XLSX, EPUB, scanned files, any URL.
Give an agent a place to put large output. Instead of returning 40k characters of a build log into the conversation, it posts the file to docbin and hands back one short URL. Docs render with syntax highlighting and markdown, every update is a new immutable version, and old links keep working. Six tools for create, read, update, delete, list and search. Works anonymously with no signup, or sign in for permanent docs under your own handle.
Read-only directory of vetted AI implementation agencies from the Ashton & Forge marketplace. Search supply by service cluster, industry, client size, engagement stage, or budget; get_matched returns the brief link for up to three human-verified introductions.
Memwyre is an MCP-native persistent memory layer for AI agents, synchronizing context across Claude Code, Cursor, VS Code, and OpenClaw. Built with a high-precision retrieval architecture (dense vector search, BM25, and cross-encoder reranking), Memwyre achieves a benchmarked 73.1% accuracy on the Long-Context Memory (LoCoMo) benchmark. It provides secure, isolated knowledge vaults with dedicated tools (search_memwyre, save_memory, list_memories) to save and recall structured project decisions.
SEO, AEO, GEO, Local SEO & CRO Growth Auditor + Safe Code Fixer with multi-page sitemap crawling, HTTP security headers inspection (HSTS, CSP), and universal WebMCP support.
Hubris is an OpenAI-compatible LLM gateway for the Russian market, billed in rubles. This MCP server gives agents access to the model catalog (400+ models with ruble pricing), account balance, and chat completions with full parity to POST /v1/chat/completions. Tools: models_list, models_search (filter by capability/price/context length), models_get_pricing, balance_get, chat_complete. Resources: hubris://catalog/models, hubris://docs/quickstart. Prompt: compare-models. Docs: https://hubris.pw/
Zero-auth MCP server for sending a reminder to anyone with a public UnRemind.me page. No account or token. The recipient approves it before it enters their list.
Use MCP 2026-07-28 discovery or 2025-11-25 initialize to list and execute PubFi routes.
Search domain availability and pricing, straight from chat, then open a link to register.
Processor fees, charge-to-net, invoice totals and proration. 3 of 6 tools free.
Risk-scan a diff, flag AI-generated-code tells, find secrets. 5 of 7 tools need no account.
Paste-your-data analytics over MCP, computed in code: csv_profile profiles columns and data quality, ab_test runs two-proportion z-tests, correlation and growth_rates cover the basics, with funnel_report, cohort_retention, and forecast_trend in the premium tier. No uploads, no external calls, no data retention.
Scan code for quantum-vulnerable cryptography and get NIST post-quantum migration guidance.
Magic Hour MCP lets AI agents create and edit images, videos, and audio using Magic Hour’s hosted generation tools.
Deterministic date math agents get wrong, done in code over MCP: business_days adds and counts working days with holiday awareness, meeting_overlap finds shared windows across UTC offsets including half-hour zones, recurrence_expand generates concrete dates, with deadline_planner and sla_due in the premium tier. Every failure mode returns a structured error.
