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maintenanceAI-native orchestration layer with 80+ tools for task management, code editing, browser automation, terminal control, and persistent memory across CLI, local MCP, and cloud deployments.
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mcp-aurekai
Officialby aurekai
The Aurekai MCP server exposes 89+ tools across 9 capability families, giving AI assistants access to media processing, inference, pipelines, knowledge management, commerce, and more — via stdio or HTTP.
Runtime: Async HTTP gateway (
akai_api), auth/sessions (akai_auth), capability discovery (akai_capability), OpenAI-compatible proxy (akai_proxy), CLI dispatch (akai_cli), and change watching (akai_watch).Commerce: Access gates (
akai_gate), payments/invoices (akai_pay,akai_ledger), usage metering (akai_meter), service pricing (akai_finance), and SLA tiers (akai_tier).Intake: Transcribe audio (
akai_transcribe), ingest artifacts (akai_ingest), extract frames (akai_frame_extract), detect scenes (akai_scene_detect), demux video (akai_video_demux), and discover clips (akai_clips).Memory: FPQ embeddings (
akai_fpq,akai_fpqx), vector search (akai_vec), model weight quantization (akai_quant), SAE feature dictionaries (akai_sae), and structured layer inference (akai_sli).Proof: Cryptographic proofs (
akai_proof), data canonicalization (akai_canon), Merkle-DAG graphs (akai_graph), and content hashing (akai_hash).Reason: Physics simulations (
akai_physics,akai_leapfrog), coroutine-native pipelines (akai_flow), inference control (akai_control), and feedback/learning (akai_learn).Wire: Telephony via FreeSWITCH (
akai_tel), QUIC media relay (akai_moq), netlist runtimes (akai_net), and wire captures (akai_wire).Publish: Briefs (
akai_brief), TTS narration (akai_narrate), artifact packing (akai_pack), distribution (akai_distribute), rendering (akai_render), social repurposing (akai_repurpose), and P2P via BitTorrent v2 (akai_swarm).Substrate: Content tagging (
akai_tag), compression (akai_compress), artifact indexing/search (akai_index), entity resolution (akai_entity), document fragmentation (akai_fragment,akai_paragraph), and analytics queries (akai_query).
Additionally, the server provides:
13
aurekai://resources for live data reads (queue stats, models, runtime data, etc.)8 named prompt workflows for common multi-step tasks (e.g., audio → transcribe → brief → deliverable, Merkle lineage inspection, invoice generation, memory pack creation)
Advanced MCP features: tool annotations (
readOnlyHint,destructiveHint,idempotentHint), resource pagination, resource subscriptions,_metaproof propagation, and embedded resource outputs.
@aurekai/mcp — Aurekai MCP Server
0.8.0-alpha.5 · capability-native · zero dependencies · stdio + Streamable HTTP
Exposes all 9 Aurekai capability families (111 commands) as MCP tools with full protocol-level features:
tool annotations, resource pagination, named prompts, _meta proof propagation, and embedded resource outputs.
Install
npm install -g @aurekai/mcpRelated MCP server: Vorim AI — Agent Identity & Trust
Usage
stdio (default — for Claude Desktop, Cursor, etc.)
// claude_desktop_config.json
{
"mcpServers": {
"aurekai": {
"command": "aurekai-mcp"
}
}
}Streamable HTTP (optional)
AKAI_MCP_HTTP_PORT=3100 aurekai-mcp
# POST JSON-RPC to http://127.0.0.1:3100/mcpProtocol Surface
Feature | Status |
| ✅ |
Tool annotations ( | ✅ |
| ✅ |
| ✅ |
Resource pagination ( | ✅ |
Resource subscriptions (acknowledge) | ✅ |
| ✅ |
| ✅ |
Embedded resource outputs for proof-emitting tools | ✅ |
| ✅ |
Streamable HTTP transport ( | ✅ |
Capability Families
Family | Operators | Examples |
| 11 |
|
| 11 |
|
| 12 |
|
| 11 |
|
| 8 |
|
| 5 |
|
| 5 |
|
| 9 |
|
| 17 |
|
Named Prompts
Prompt | Description |
| audio → transcribe → brief → deliverable |
| Resolve full Merkle lineage for an artifact |
| FPQ compress + roundtrip + export memory pack |
| Dual branch diff with recommendation |
| Metering records → invoice |
| PCAP → SIP event + device report |
| proof validate + manifest verify + SLI auto-run |
| audio → transcript → structured client brief |
Resources (aurekai:// URIs)
aurekai://runtime/capabilities · aurekai://queue/stats · aurekai://ledger/portfolio
aurekai://models · aurekai://model-memory · aurekai://features/{artifact}
aurekai://proof/{id} · aurekai://graph/{node}/lineage · aurekai://space/{name}
aurekai://wire/{capture_id} · aurekai://project/{id} · aurekai://invoice/{id} · aurekai://cms/{entry_id}
Runtime Requirement
Tools require the akai binary on PATH (from aurekai/native-runtime)
or set AKAI_BIN=/path/to/akai. Without it, tools return a clear error message — no crash.
Registry Targets
Maintenance
–Maintainers
–Response time
–Release cycle
–Releases (12mo)
Commit activity
Resources
Unclaimed servers have limited discoverability.
Looking for Admin?
If you are the server author, to access and configure the admin panel.
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