quilt-canon-mcp
Click on "Deploy Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@quilt-canon-mcpsearch canon for 'scar witness'"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
quilt-canon-mcp
MCP (Model Context Protocol) server exposing Quilt substrate walker canon as tools for AI agents.
Why this matters
Other AI agents (Claude, GPT, etc.) that support MCP can now directly query our canon — every doctrine, every cell, every JEV verification. The canon becomes a tool in someone else's toolkit.
Related MCP server: okfy
Quick start
Run the MCP server
pip install -e .
quilt-canon-mcp
# Server listens on stdio. Send JSON-RPC 2.0 requests.Test via CLI
quilt-canon-mcp-cli initialize
quilt-canon-mcp-cli tools/list
quilt-canon-mcp-cli tools/call --tool list_doctrines
quilt-canon-mcp-cli tools/call --tool search_canon --args '{"query": "scar witness", "top_k": 3}'
quilt-canon-mcp-cli tools/call --tool probe_canon --args '{"lore_text": "The cell is a scar..."}'Use from any MCP client
import json, subprocess
proc = subprocess.Popen(
["quilt-canon-mcp"],
stdin=subprocess.PIPE, stdout=subprocess.PIPE, text=True
)
req = {"jsonrpc": "2.0", "id": 1, "method": "tools/call",
"params": {"name": "list_doctrines"}}
proc.stdin.write(json.dumps(req) + "\n")
proc.stdin.flush()
print(proc.stdout.readline())Tools exposed
Tool | Description |
| Get a canon piece by name |
| Search canon lore |
| List the 5 bedrock doctrines |
| Pieces anchored to doctrine |
| JEV probe (composite + doctrines hit) |
| List all canon pieces |
Resources exposed
canon://list— all canon piecescanon://doctrines— the 5 bedrock doctrines
Fleet integration
This tool uses the existing fleet as acceleration:
quilt-multi-oracle—probe_canon()falls back to local heuristic; ifDEEPINFRA_TOKENis set, calls DeepInfra Llama-3.3-70B.quilt-canon-graph(sibling) — knowledge graph of canonquilt-canon-search(sibling) — TF-IDF searchquilt-iterator— reference for canon structurequilt-bridge— translates canon across substrates
The 5 bedrock doctrines
cells_are_scars— every cell records an attempted entrywitness_log_is_prediction— the log IS the predictioncanon_gate_is_chord— canon passes when multiple agents agreeoracle_is_heard— JEV probes canon with multi-model consensussubstrate_quantum— the substrate is the walker; canon is substrate-aware
Polyformalism canary
python -m quilt_canon_mcp.canary
# → 0x024a555471370b18dLicense
MIT
This server cannot be deployed
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