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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-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.
Search, save, and set reminders in your personal MarkIt library of links, posts, and notes.
Neutral verification registry for femtech (women's health) information sources. It indexes sources by provenance, authority tier, jurisdiction, and machine-readable compensation disclosure. No diagnosis, no efficacy claims, no referral fees.
Describe what's going wrong with your AI; get the named technique both of you can read. No auth.
Search and read public Wikivibe articles about AI coding, agents, MCP, GEO, bots and deployment.
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.
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.
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.
Save selected AI-generated answers as private Nugs in your personal NugIt library.
Rafter holds a team's durable knowledge — skills, agents and memory files, each versioned — and serves it to AI tools over MCP. Agents search across the team's artifacts before answering questions about how the team works or what was decided, fetch full artifact text along with its citation edges (cites, cited_by, links) to explore related material, and write new learnings back as memory. Also covers workspace, team and membership management.
Curated knowledge API for AI agents - skill packs, semantic search, validated patterns.
Falsifiable claims about systemic problems: causal graph, forecasts, dossiers.
Ask about an operator's work, reusable patterns, availability and offer. Typed tools, eval-gated.
AI continuity and Library Templates: memories, profiles, rules, tasks, and checkpoints.
Remote MCP server for full read/write access to a Zotero library
Search, read, cite, create, and safely update a user's private KeepFlash knowledge library.
Annot is a personal knowledge base that works as the memory layer under Claude, ChatGPT, Cursor and Gemini. Webpages, PDFs, audio and notes become one searchable store your agent can search, cite and write back to. Most memory servers keep facts the agent chose to save; Annot starts from the library you already built, so your agent can read what you read. 29 tools: search, context loading, write-back, topics, export. Annot account required (invite-only beta).
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
