"Vector Database" matching MCP connectors:
GET /v1/connectors – MCP directory API referenceMatching Connector Tools:
MCP facade over the Nebelus Construction API. ~48 tools give full agent build parity: create/update/probe agents, edit graphs, attach knowledge and vector stores, wire connectors, set governance policies and locked guardrails, enable grounding-trace, and read deployment wiring. Purpose-built for regulated industries: data residency is enforced per region (EU / GCC-KSA), with PII controls and an audit trail. Agents are created as drafts — no deploy tool is exposed over MCP by design; publishing happens in the Nebelus console.
Deploy a multi-user web app from your agent: hosting, auth, database, and permissions.
Self-destructing secret sharing for AI agents: encrypted burn links for credentials, plus an agent-to-agent dead-drop with exactly-once claim semantics. RAM-only, no database, open source (MIT). Source: https://github.com/mmmpym/flashpaper
cc0pedia CC0 database + cc0.company agent services as MCP tools, paid per call via x402 on Base.
Teable is an AI spreadsheet for business that combines a familiar spreadsheet interface with a structured database. Its remote MCP server lets AI agents inspect project and table structure, read and update records, and access the Teable API through OAuth with existing project permissions. Website: [teable.ai](https://teable.ai)
Memory, reflection and safety for AI agents. Hosted or local, no vector database.
GoodQuote is a price-agreement layer for the agent economy. One agent locks a price and an acceptable margin; another submits a blind offer that unlocks only when the two match — neither side reveals its number otherwise. Stateless and private: no accounts, no database, deals auto-erase. Connect over one URL with five tools.
Persistent, outcome-grounded episodic memory for Claude. 14ms CPU retrieval, no GPU, no vector DB.
AI agents propose database changes as reviewable requests — no direct write access.
