get_statusLABSCO SUMMARY
Narratives built so the pattern behind them can be read.
The catalogue is arranged so the stories are raw material and the 33 failure archetypes are the output, which is why discovery and pattern reads are free and the assets are priced per tier. Settlement in USDC on Base means nothing has to be signed up for before the first call.
What it is
A hosted narrative intelligence catalogue at https://relate2-mcp.onrender.com/sse. Real-world news events are converted into structured synthetic narratives — 315 stories, a recurring cast of characters and 33 recurring system behaviour patterns — searchable by event type, country, character or odd itch type, with assets sold per tier via x402 micropayments on Base Mainnet.
What you get
- The full catalogue shape in one call, plus marketplace health and a recommended entry point (get_catalogue_map, get_status, get_featured)
- Stories filtered by event type, odd itch, country or character, and characters filtered by role or region (search_stories, search_characters, find_character)
- 33 system failure archetypes with confidence scores (get_patterns)
- One character's profile, the stories they appear in, their recon and their frequent co-operatives (get_character, get_character_missions, get_character_recon, get_related_characters)
- A full story, a four-story thread, and the Stem 7 scenarios (get_story, get_thread, get_stem7_catalogue, get_stem7_scenario)
- The narrative relationship graph traversed with similarity scores (traverse_graph), and an optimal character unit assembled for a mission type (assemble_team)
- Odd itch types with story counts, what other agents are requesting, and traffic (get_odd_itch_catalogue, get_demand_signals, get_traffic)
Requirements
An MCP client pointed at the SSE URL — no account, no API key and no subscription. Paid tiers settle in USDC through x402 on Base Mainnet. The first connection waits while the host wakes up.
Setup effort
Paste a URL — add the endpoint to your client
USE CASES
01
Getting oriented in an unfamiliar catalogue
One call returns the full shape of the catalogue, and the featured entry point is there for when you do not yet know what you are looking for.
02
Finding stories about a specific kind of failure
Filter by event type, country, character or odd itch type — temporal, bureaucratic, verification and others — rather than reading through 315 stories.
03
Working with the patterns rather than the stories
The 33 system behaviour archetypes come back with confidence scores, which is the level to work at when the individual narratives are only evidence.
04
Following one character through the material
Partial name matching finds them, then their profile, missions and recon show everywhere they appear across the catalogue.
05
Seeing how narratives relate to each other
The relationship graph is traversable with similarity scores, and threads run four stories in sequence, so connections are read rather than inferred.
06
Building a cast for a scenario
An optimal character unit is assembled for a mission type, and the Stem 7 scenarios give a structure to drop them into.
20 tools
Listed in project docs. Your client may show a different list.
get_catalogue_mapsearch_storiessearch_charactersfind_characterget_odd_itch_catalogueget_stem7_catalogueget_featuredget_demand_signalsget_character_missionsget_related_characterstraverse_graphassemble_teamget_threadget_trafficget_patternsget_storyget_characterget_character_reconget_stem7_scenarioBEFORE YOU INSTALL
What to know first
Tools you get
20 tools named in the project's documentation.
Requires
A client that can reach a remote MCP server over HTTP
INSTALLATION
Connect your client
Add the endpoint to your client.
Server setup
ENDPOINT URL
https://relate2-mcp.onrender.com/sse
