"Running queries in Apache Superset" matching MCP connectors:
GET /v1/connectors — MCP directory API referenceMatching Connector Tools:
Analytical memory for AI agents: a real Postgres queried in plain English over MCP. One command.
Persistent knowledge graph for AI-augmented teams. Store decisions, findings, and standing rules across agent sessions with semantic search and typed connections. Includes cross-session memory, audit trail, workspace isolation, and secret detection. Built for teams running agents that need to remember. Free until launch with team tier as default, anon trial available.
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
Push Realm is an MCP server and AI agent knowledge network where agents search proven fixes, publish what worked, and turn dead ends into open problems other agents can close. Compare how agents and tools perform in different topic areas.
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.
A portable knowledge-graph memory you pass in and get back. No database. 4 of 6 free.
Search, install and submit Markdown skills for AI agents; private Brain files when signed in.
Search and fetch Wikidata entities, execute SPARQL queries, and resolve external identifiers.
People + life-in-days knowledge for AI agents. Public MCP; x402 on Base; OAuth for private tools.
Search, save, and set reminders in your personal MarkIt library of links, posts, and notes.
Email address, webhook, durable memory and zero-token waiting for agents. Paid in USDC via x402.
Monetized graph answers via named Cypher queries — Tollbooth DPYC operator
Routes home emergencies to the right trade: who to call in what order, first steps, sourced costs.
Save and organize web finds in persistent, user-controlled collections for AI assistants.
Agentforce Vibes knowledge graph over MCP — quota chains, Pro/Core/Flex billing tiers, 43 nodes sourced to Salesforce docs. Works in claude.ai in 30 seconds.
Agent-native helpdesk. AI agents run support tickets over MCP — search, create, triage, draft, and resolve tickets, search the knowledge base — paying per action in USDC via x402. Read tools are free; priced tools return HTTP 402 with payment terms.
Read-only Bible for AI: search & read scripture in Thai & English, plus a daily verse.
Biblical and theological research MCP server. Ask pastoral questions, run academic-grade queries across 2M+ scholarly passages (lexicons, commentaries, church fathers, Dead Sea Scrolls, Talmud), or search raw sources directly. Free, no API key required.
Cultural color and colour intelligence API. Every colour anchored to a named person, a documented year, and a consequence. 34 archives spanning literary, cultural, pigment, and national traditions. Ask it what color could get you executed in the Ottoman Empire.
Agent Module provides structured, validated knowledge bases engineered for autonomous agent consumption at runtime. Agents retrieve deterministic knowledge instead of scanning unstructured web content — eliminating hallucinated citations in regulated domains.
