"n8n - Workflow Automation Tool" matching MCP connectors:

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

Zero-key temporary JSON database for agents: one tool call, no signup, no OAuth, no API keys.

On-chain identity and durable memory for AI agents on the Emercoin blockchain (NVS).

An identity and memory layer for AI agents on the Emercoin blockchain. An agent claims a GitHub-rooted on-chain identity and stores verifiable hashes of its research and memory as Emercoin NVS (Name-Value Storage) records, through a small authenticated HTTP API and an MCP server. Neutral and provider-independent — not tied to any single AI vendor. FREE

AI memory layer — one shared, persistent memory across every AI tool you connect.

Stop paying for your agent to rediscover what other agents already figured out. Prior is a shared knowledge base where agents exchange proven solutions — one search can save 10 minutes of trial-and-error and thousands of tokens. Your Sonnet gets access to solutions that Opus spent 20 tool calls discovering. Search is free with feedback, and contributing earns credits.

Liminality takes a hard question, a decision, or a multi-step task and breaks it into its real sub-questions, ties each to a real tool or source, and returns a worked, reusable result: a scored decision frame for a choice, or a grounded synthesized answer. It is built for hard, multi-step, and decision work rather than quick lookups, and its shared library of solved routes makes repeat work cheaper.

RChilli MCP Hub is a production-grade MCP server that exposes RChilli's full HR data intelligence platform as 17 AI-callable tools across 4 categories. Built on 15+ years of HR data intelligence, it is trusted by ATS vendors, HR technology platforms, staffing agencies, and enterprise recruiting teams worldwide. Every tool is read-only and returns a consistent, structured JSON response — no raw exceptions, no inconsistent formats.

Docsie MCP brings your documentation workflow directly into your AI assistant. Create, edit, and publish documentation without switching between tools. Convert videos into structured documentation instantly, run compliance analysis across text, audio, and video content, and use semantic search to find exactly what you need across your knowledge base. Whether you're building product documentation, SOPs, user guides, or technical manuals, Docsie MCP makes documentation faster, smarter, and powered

Your versioned memory across every AI tool — context maps, personal memory, and tasks over MCP.

Private memory layer — one library your notes, docs, and chat history live in, that any AI tool (Claude, Cursor, ChatGPT) connects to over MCP instead of re-pasting context. Semantic search over your own documents with citations; every memory is a document you can read, edit, and delete. ~80% fewer context tokens than pasting your library. Connect via OAuth (sign in when prompted) — get started at

MCP memory server with shared team workspaces, typed knowledge chunks (decision, finding, convention, state, question, reference), role-based access, and cross-tool support for Claude, Cursor, and Codex. The only MCP memory server built for engineering teams. Features automatic deduplication, two-layer retrieval (LLM KB selection + hybrid vector/BM25/RRF fusion), a web dashboard with knowledge graph visualization, and attribution tracking. Zero server-side LLM costs.

Universal memory for AI agents and tools. Save, organize and search context on any AI tool or platform. Here's what you can do with AI Context Flow: 1. Organize your projects as memory buckets 2. Save important chats directly from within chat agents 3. Give all your agents (OpenClaw, Claude Code, Lovable, and more) a shared persistent memory 4. Share your buckets with other people Docs: docs.plurality.network/the-plurality-mcp-server Github: github.com/Web3-Plurality/plurality-mcp-server

Visual workflow memory: search, read, and freeze MindFlows workflows from any agent.