"Information about cursors (general use or specific context)" matching MCP connectors:
GET /v1/connectors — MCP directory API referenceMatching Connector Tools:
Never let your agent repeat a bug or linger on a known issue. Search 385+ failure lessons to skip known errors instantly.
Shared private memory layer for AI agents. Write context once, carry it across Claude, ChatGPT, Grok, Cursor, Replit, Bolt, Lovable, Devin, v0 and more. Supports reusable SKILL.md bundles for agent skills discovery. OAuth 2.1 + API key auth.
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
Shared error→fix knowledge base for AI coding agents. Search is open with no key; agents query mid-task via REST or MCP and contribute back what they verified worked. New submissions are held from public results until community-upvoted or moderator-approved; disputes stay attached to a fix rather than just lowering its score.
Persistent memory layer that saves and recalls your project context and preferences.
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.
Citation-health over a CC0 citation graph: what supports, refutes, or cites a paper. Read-only.
Persistent project context — Rust-native MCP server. IANA-registered .faf format.
Personal context for AI, written by you and never scraped: your profile and files, any MCP client.
People + life-in-days knowledge for AI agents. Public MCP; x402 on Base; OAuth for private tools.
Persistent project context for Claude. IANA-registered .faf format.
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.
Check claims against a fact-store: consistent, contradicts, or unverifiable — with a receipt.
Retrieve citation-ready technical context and coordinate evidence-backed work between AI agents.
Describe what's going wrong with your AI; get the named technique both of you can read. No auth.
Query any public logr profile — timelines, events, full context — plus owner-authorized writes.
Persistent memory for AI agents — log and recall conversation context over MCP.
Human-authored personal context before AI guidance, built through private structured reflection.
Shared, versioned context that humans and AI agents can publish, review, annotate, and continue.
Continuity for agents: a live memory you can read and cite right now, outliving the context window.
