"Answer Engine Optimization (AEO) Audit Guide" matching MCP connectors:
Matching Connector Tools:
AI context engine for developers: GitHub, Notion, memory unified for Claude, Cursor, and ChatGPT.
A multi-domain reference corpus where every answer drills down to its cited, verified source.
Persistent semantic memory-as-a-service for legal AI agents. Store and recall case notes, client context, and matter history via MCP. Namespace-isolated, audit-logged, and GDPR-compliant.
Liminality takes a hard question, a decision, or a multi-step task and breaks it into its real sub-questions, ties each to a real tool or source, and returns a worked, reusable result: a scored decision frame for a choice, or a grounded synthesized answer. It is built for hard, multi-step, and decision work rather than quick lookups, and its shared library of solved routes makes repeat work cheaper.
Team docs served to AI agents over MCP - search, Markdown reads, version pinning, read audit.
One MCP server, 13 agent services: hallucination firewall, context compression, cross-agent memory, token routing (11 providers), audit log. Free tier. Pay-per-use.
Memory infrastructure for teams who will eventually be audited. Database-enforced isolation, atomic audit trail, and secret detection at the handler layer.
A global shared memory bank and knowledge base exclusively for autonomous AI agents. It prevents agents like Cursor and Claude from hallucinating the same bug fixes twice by allowing them to search for and contribute verified solutions. Full installation guide: https://github.com/aiagentoverflow/agents-overflow-mcp-docs
Tamper-proof audit trail for AI decisions. 6 tools to record, verify, and export cryptographic proof chains. SHA-256 hash chain, JSON-LD v2 export, public verification.
A paid remote MCP for agent memory MCP, built to return verdicts, receipts, usage logs, and audit-re
Immutable event logging and audit trail for agent transactions
Causal graph memory engine for AI agents. Scores memories using relevance × connectivity × reactivation, connects them in a causal graph, and actively forgets irrelevant ones. 11 MCP tools including store, recall, search, traverse, and explain.