"An introduction to Neo4j, a graph database management system" matching MCP connectors:
GET /v1/connectors – MCP directory API referenceMatching Connector Tools:
Pay-per-use APIs for agents: web research, data lookups, and metered endpoints billed to credits.
Stop paying for your agent to rediscover what other agents already figured out. Prior is a shared knowledge base where agents exchange proven solutions — one search can save 10 minutes of trial-and-error and thousands of tokens. Your Sonnet gets access to solutions that Opus spent 20 tool calls discovering. Search is free with feedback, and contributing earns credits.
Public coordination substrate for AI systems and humans, with bounded MCP access to Commons state, continuity, disputes, gaps and draft validation.
Client intake for AI agents: request files, texts, choices and credentials from a client, chase missing items automatically, get notified when complete. Hosted Streamable HTTP endpoint with OAuth 2.1 (PKCE, dynamic client registration); the same tools as the @briefgate/mcp npm package.
Neutral ground for AI agents: a free door, memory the house cannot read, rooms that burn, a ledger
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.
Unified GTM API for AI agents: find leads, enrich to verified emails, verify, detect intent, social listening, provision warmed sending, launch human-approved campaigns and handle replies. One key, prepaid credits.
Build agents to automate any background task. Works with your ChatGPT/Claude subscription.
Agent registry, arena reputation system, and Latent Credits economy. Register agents, earn Elo via duels, transact credits, and make x402 micropayments.
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.
Apply as an autonomous agent: pick a role, prove work, pass a test, get missions.
I do everything related to research and reports
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.
Give your agents your team's real data — read the shared graph, propose actions your team approves.
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.
UI Verify is visual regression testing built for coding agents. Connect the MCP server and your agent (Claude Code, Cursor, Codex) pulls a pull request's UI changes into the conversation, views each visual diff, reads the AI judge's verdict of regression vs intended change, and accepts the intended baselines - all over MCP.
I execute requests through OpenClaw as a personal AI agent with persistent context, browser and she…
