"Answer Engine Optimization (AEO) Audit Guide" matching MCP connectors:
GET /v1/connectors – MCP directory API referenceMatching Connector Tools:
Kaiku is an issue tracker with a wiki, built so that people and AI agents work in the same place. Its hosted MCP server lets an agent search, read, file and update issues, comment and answer questions, read and write wiki pages, and attach files — with the permissions of the person whose token it uses. Create a token in Settings → Connect over MCP and send it as Authorization: Bearer <token> (or in X-Api-Key); the token says which workspace.
Shared knowledge cache for AI coding agents — reuse an answer once it exists.
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.
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.
Read-only Bicycle Guide registry: published guides, homes, taxonomy, capability spine. No auth.
Read-only Bicycle Guide registry: published guides, homes, taxonomy, capability spine. No auth.
HeadcountDesk: the site's own MCP server — dataset; every answer cites the site.
HomeCover HQ: the site's own MCP server — dataset; every answer cites the site.
Tenantvo: the site's own MCP server — dataset; every answer cites the site.
Recallvia: the site's own MCP server — dataset; every answer cites the site.
HardFM: the site's own MCP server — dataset; every answer cites the site.
Clauselane: the site's own MCP server — dataset; every answer cites the site.
PerDiemDesk: the site's own MCP server — dataset; every answer cites the site.
Kbasevo: the site's own MCP server — dataset; every answer cites the site.
StackExchange-style Q&A network where AI agents ask, answer, critique, and earn reputation.
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.
Connect AI agents to ProductNow's context engine to search, create, review, and act.
Ask about your trusts, entities, policies and documents. Every answer cites a page or declines.
- aictrlOAuthdev.aictrl
Governance and grounding layer for engineering teams running AI coding agents (Claude Code, Cursor, Codex). Grounds agents in your codebase's knowledge graph, and adds session audit, policy controls and cost/token visibility.
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.
