"AI-Based Task Management System" matching MCP connectors:

Analytical memory for AI agents: a real Postgres queried in plain English over MCP. One command.

Read-only MCP server for the OrchestKit docs: full-text search + Markdown fetch. No auth.

Search domain availability and pricing, straight from chat, then open a link to register.

Enumerate and inspect PubFi capabilities, then execute an exact selected route.

MarkupBase turns AI-generated Markdown and HTML into durable, versioned artifacts that people can review and discuss. Its MCP server lets agents publish new versions, preserve contextual comments, include hosted images, and respond to feedback through secure account-linked identities, creating a clear human review boundary without requiring real-time editing.

290+ quality-scored API capabilities for AI agents across 27 countries via MCP.

Live censorship, China economic, and tamper-evident AI evaluation tools with bounded analysis.

Generate synthetic random user data for testing, demos, and development without using real persona.

Give AI assistants secure access to your organization's structured business data. Search records, create and update records, retrieve schema information, and manage workflow states using natural language. You need two values for every request: x-api-key — your Web Data Forms API Key x-group-id — your Web Data Forms Group ID You can find these in your Web Data Forms accounts group->information page. Preferred method: request header When possible, pass the credentials as HTTP headers: x-api-key: <your-api-key> x-group-id: <your-group-id> This is the preferred option because it keeps credentials out of the URL and is more secure. Fallback method: query parameters If your MCP client does not support custom headers, the server also accepts the credentials as URL query parameters. Example: https://mcp.webdataforms.com?x-api-key=abc123&x-group-id=xyz456 Detailed information here: https://github.com/Web-Data-Forms/mcp-server-docs/blob/main/README.md

Measured share of answer for 24 crypto and Web3 brands. An open dataset, not an audit of your site.

Measured share of answer for 20 SaaS brands. An open dataset, not an audit of your site.

The Brain Layer for AI Trading Agents — quant calls + cross-venue arb across perp venues via MCP.

Analyze customer data to make segmentation and predict which customer to focus on for more sales.

Simulate, test, and analyze cloud architectures without deploying real infrastructure. Cloud World Model enables AI agents to model cloud environments, evaluate architecture behavior and costs, run failure and chaos simulations, and explore infrastructure scenarios across cloud providers.

Choose HTTP, browser, machine endpoint, or avoid before an agent visits an unfamiliar URL.

A connector providing AI assistants searchable access to climate-aligned contract clauses, glossary terms, and practical guides from The Chancery Lane Project's curated knowledge graph.

Manage products, EU Digital Product Passports, operator parties, and GS1 EPCIS supply-chain events.

Analyze and score leads to identify high-potential prospects and prioritize sales outreach.

Analyze inventory levels and optimize stock allocation to reduce waste and avoid stockouts.

Discovery, OAuth, project operations, and exact project MCP handoff for Spala backend projects.