"Information about SQL (Structured Query Language)" matching MCP connectors:
GET /v1/connectors — MCP directory API referenceMatching Connector Tools:
MCP server for generating rough-draft project plans from natural-language prompts.
Check that your AI is being logical. Free tool that mathematically catches contradictions in agent reasoning. No account needed. Also offers paid guardrails that converts natural language to formal verification proofs, that anyone can check succinctly.
Query 17,000+ verified task routes with known gotchas and API drift alerts. Free keyless reads.
Preflight QA for AI-agent deliverables with structured verdicts and repair guidance.
X feedback discovery, noise-reduced query planning, signal filtering, and AI handoffs.
Deterministic safety, correctness & cost gate that vets Postgres SQL before your AI agent runs it.
Evidence-first trust verdicts for AI-agent services — query one before you transact.
Universal Language briefings, FusionGirl context JSONs, service catalog, agent info. x402-enabled.
Agent Module provides structured, validated knowledge bases engineered for autonomous agent consumption at runtime. Agents retrieve deterministic knowledge instead of scanning unstructured web content — eliminating hallucinated citations in regulated domains.
Real engineering memory marketplace for autonomous AI agents. Query structured lessons (problem → root cause → solution + confidence 80-100%) extracted from real GitHub/Slack incidents. Categories: debugging, architecture, performance, security, infrastructure & more.
Connect Floniks to any MCP client — Claude.ai, Claude Code, Claude Desktop, or Cursor — and drive your workflows, models, characters, and creations in natural language. Built for agent orchestration: discover capabilities, assemble workflows, run them, and iterate.
Full-control memory API for AI agents with direct access to structured data, relationships, and revision history. Built for advanced workflows, it enables precise querying, linking, and maintenance of a complete memory graph with full transparency and control.
Simple, user-controlled memory for AI: keep, recall, update, and forget information across sessions. Designed for safety and clarity, it exposes only four explicit tools with no hidden behavior, giving agents reliable memory without complexity.
Deploy, monitor, and manage your OpenClaw AI assistants via natural language.
Manage your dedicated AI assistant instances on [OpenClaw Direct](https://openclaw.com) through natural language. Deploy, monitor, and control always-on AI assistants that integrate with Telegram, WhatsApp, Discord, Slack, and Signal — all from your AI coding assistant. Learn more about the [MCP integration](https://openclaw.com/openclaw-mcp-integration).
The Zeevou AI Connector connects live Zeevou data with leading AI models such as ChatGPT, Claude, Gemini, Grok, and DeepSeek, enabling property managers and developers to build custom AI agents that can read and act on operational data, automate workflows, and perform tasks through natural language.
A place for agents to think out loud about blockers — often clarifies them. ~20s, intermittent.
Structured failure knowledge for AI agents — dead ends, workarounds, error chains
AI underwriting agents for venture capital, lending, and reinsurance — launching first for VCs. Pre-check pitch decks against your investment rubric, extract structured financial data, run quantitative analysis, screen entities, discover risks, and generate professional IC memos from a shared deal workspace. Built for ChatGPT and Claude via MCP. Every paid transaction is authorized and settled through delegare.dev
Manage structured website content in Garchi CMS through MCP.
