"Information about PostgreSQL (Postgres) database system" matching MCP connectors:
Matching Connector Tools:
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
Analytical memory for AI agents: a real Postgres queried in plain English over MCP. One command.
Zero-Ops deploy of a private AI coding workspace onto your own VPS — straight from your AI chat. Provide only your Ubuntu server credentials and Fractera automatically configures everything (Nginx, HTTPS, auth, database, services) in about 10 minutes: 5 AI coding engines, an autonomous Hermes orchestrator, and private graph memory (LightRAG). No terminal, no DevOps. IP-first and free; a custom domain with HTTPS is an optional later step.
Your company's brain for AI agents. Cited, permission-aware knowledge across every system.
MCP server for the Fail Modes taxonomy — a knowledge base of AI system failure modes
Zero-key temporary JSON database for agents: one tool call, no signup, no OAuth, no API keys.
Search and read public Wikivibe articles about AI coding, agents, MCP, GEO, bots and deployment.
A persistent intention layer for AI agents. Injects a soul document into model system prompts before each session. REST API + MCP server. Auth via X-API-Key header.
Authoritative information about Jennifer Rebholz, Arizona personal injury attorney and trial lawyer.
A wiki about your life that writes itself. Save from any AI chat, recall it in the next.
A personal RAG database you build from chat, so AI creates work that sounds like you.
Grimoire turns your TTRPG campaign into a structured, queryable database and knowledge graph and exposes it to any MCP-compatible AI client. Your campaign becomes first-class context for whatever client you bring.
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.
Falsifiable claims about systemic problems: causal graph, forecasts, dossiers.
Architecture-grounded query for AI agents. Governance constraints, system dependencies, evidence.
Semantic search over MINDSET's brand strategy topic database, plus its system prompt.
System-of-record notebook for AI coding agents: pages, datastores, tasks, skills over MCP.
An agent-native database over MCP: shared, validated, structured records in every AI chat.
Verified registry of third-party-system knowledge — the external-dependency layer for agent memory.