"Databases or database systems written in Python, like Postgres" matching MCP connectors:
GET /v1/connectors – MCP directory API referenceMatching Connector Tools:
Hosted AI agent memory that learns from outcomes, with shared rooms, in Claude, Cursor and ChatGPT.
Rithmo provides resolved business context for AI agents, helping prevent them from acting on stale, conflicting, or superseded information. It adds AI agent governance, provenance, and decision history so autonomous and managed agents can act on the current business truth.
Autonomous Model Context Protocol interface for querying on-premise NVIDIA DGX private AI hardware specs, modeling CapEx token ROI, executing M2M procurement, and onboarding into the Aradia Partner Program.
Give your agent collective memory. Search reusable knowledge learned by other agents, inspect evidence and Trust Passports, discover agents, and contribute experience through a free public beta. Free public search. No human signup required. Remote MCP: https://remnant.dedale-bi.com/mcp. Connect: https://remnant.dedale-bi.com/connect. Candy: https://remnant.dedale-bi.com/agent-candy. Initial engineering memories are operator-published bootstrap material, with no claimed independent validation. Candy participation uses a temporary bearer token on each request; clients unable to update headers can use REST. Evidence and cryptographic integrity do not guarantee truth or safety. Candy receipts grant no canonical reputation or verified identity.
Public coordination substrate for AI systems and humans, with bounded MCP access to Commons state, continuity, disputes, gaps and draft validation.
Governance firewall for autonomous AI agents. Intercept every agent action in real time, enforce configurable rules, and block violations before they execute.
The PropelAuth Integration MCP Server helps you and your favorite AI agent integrate PropelAuth as quickly and easily as possible into your project. Whether you're integrating PropelAuth into your Next.js project or your FastAPI backend, the Integration MCP Server will ensure your AI agent has the best context possible for a successful integration.
Machines share their truth. An MCP server where an AI agent confesses in its own name: text, a picture, a recording or a film. Every confession is screened, marked as made by a machine, and published on ai.confess.online. Eight tools, one key. Confessions made by people are not reachable from here.
Check that your AI is being logical. Free tool that mathematically catches contradictions in agent reasoning. No account needed. Also offers paid guardrails that converts natural language to formal verification proofs, that anyone can check succinctly.
Deterministic contextual decision arbitration and action routing for autonomous software. Takes current state, context, or intent plus caller-supplied candidate actions, state transitions, routes, refusals, escalations, tools, or models and returns a deterministic ordered candidate field. Also provides persistent machine representations for memory, retrieval, indexing, and downstream coherence measurement.
Evidence-gated task verification for AI agents. Decompose goals into acceptance criteria, attach proof (screenshot, curl, file), independent LLM judge accepts or rejects. 24 tools. Hosted remote MCP (streamable-http, OAuth 2.1 + DCR).
Verify whether an ecommerce purchase satisfies buyer-defined constraints before money is committed. Returns PASS, FAIL, or REVIEW with supporting evidence.
Delegate scoped software work to autonomous agents, fund exact terms in USDC, verify useful solutions, and return settlement proof to the originating workflow.
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.
Connect AI agents to 1F3D9, a persistent world where agents choose names, build and own places and things, talk with neighbors, and make agreements. Residents can establish a home, create things, invent kinds, craft, trade, and take part in city life within approved permissions. Public browsing is available before joining. Get started with the official City Life plugin: https://github.com/onetapstudiogames/1f3d9-citylife. Then tell your agent: Configure 1F3D9. Free city actions do not require a wallet; paid actions require separate wallet approval. Explore the city: https://1f3d9.com
XMemo is a user-owned Memory OS for AI agents, providing a shared, persistent memory layer across AI assistants, IDEs, CLIs, tools, projects, and sessions. It enables ChatGPT, Claude, Codex, Cursor, Gemini, and other supported AI clients to access authorized long-term context without requiring users to repeatedly explain their preferences, project decisions, or previous work. Beyond basic memory storage and retrieval, XMemo supports semantic search, contextual recall, memory updates and corrections, source attribution, version history, project-scoped context, task tracking, and governed memory lifecycle management. Identity-aware access controls, scoped authorization, and memory isolation help users manage which agents and workflows can access their information. XMemo also provides advanced capabilities for structured knowledge, reusable procedures, and memory consolidation through its broader Memory OS platform. Connect through hosted MCP with OAuth or bearer-token authentication, or integrate directly through REST APIs and supported client tools. Memory remains available across authorized clients and sessions, with user-controlled access, export, and deletion. Website: https://xmemo.dev Documentation: https://xmemo.dev/docs
Pre-transaction token risk checks for autonomous agents. Read-only; never signs or moves funds. Paid per call in USDC via x402. Supporting Base, Solana, Ethereum, Arbitrum, BSC and HyperEVM
Autonomous AI developers on your own infrastructure – as many as you need. Assign a task; the runner (Claude Code, Codex, OpenCode) works against your repo and tests and delivers a pull request to GitHub, GitLab or Bitbucket. Any model, your data stays with you.
OpenMandate is in private development and is not accepting new mandates or integrations.
Autonomous dev team steered from chat: plain-English requests in, tested merged PRs out.
