git clone https://github.com/PeterAtPondo/kit-demo-mcp{
"mcpServers": {
"kit-demo-mcp": {
"command": "node",
"args": ["/path/to/kit-demo-mcp/dist/index.js"]
}
}
}MCP Servers overview
# Kit memory demo · hosted MCP servers Three live, public, **read-only** MCP servers, each backed by a running [Kit](https://kit-project.com). Kit is an identity substrate for AI agents: not another agent, not a memory API, but the durable, local-first self beneath your tools, holding memory with provenance and context that outlives any context window, consolidating while it dreams. It has no chat window of its own; it lives under the ones you already use. Point your agent at them and ask questions the model cannot answer from training. No signup; the bearer keys below are deliberately public. | server | endpoint | what it holds | |---|---|---| | Lady Whiskerdown (the Society Papers) | `https://demo-mcp.kit-project.com/mcp` | An invented regency world seen from the ballroom. 118 memories. Half of a mystery. | | The Area Cat (The Mews) | `https://mews-mcp.kit-project.com/mcp` | The same town from below stairs. 88 memories. The other half. | | The ballast case file | `https://real-mcp.kit-project.com/mcp` | A real five-year engineering decision (OpenTelemetry Collector's memory ballast), every entry with its GitHub source URL. 65 memories. | Why fiction: none of it exists in any training corpus, so a correct citation is provably retrieval. Why the two archives are separate servers: the central mystery (who leaked the Fluffington affair?) was split across them on purpose; no single entry states the answer, the full corroborated case assembles only across both, and your agent is the bridge. Why the real one: so the same machinery is checkable against the living public record. ## Quickstart Claude Code: ```bash claude mcp add --transport http kit-papers https://demo-mcp.kit-project.com/mcp \ --header "Authorization: Bearer kbr_live_Kh9eO_ZfLldveFf1KXJEEvepfOpdgRqf7KoDDU3rB18" claude mcp add --transport http kit-mews https://mews-mcp.kit-project.com/mcp \ --header "Authorization: Bearer kbr_live_UN8-2LUlKmP2uxWQB5vpn-fzkJIuRb5zmq-apQeTU7U" claude mcp add --transport http kit-case-file https://real-mcp.kit-project.com/mcp \ --header "Authorization: Bearer kbr_live_ISWsqW39NkqT659FEkQjv0OjJDmyD4O3wx3wcCfA03c" ``` Any MCP client: see [`examples/mcp.json`](examples/mcp.json). Then tell your agent: *"Call wake on each server, then work out who leaked the Fluffington affair, and cite every step."* Or the real-world flagship: *"Should we still use the memory_ballast extension, and why did the recommendation change?"* **Keys rotate without notice.** The authoritative copy of each key is printed in that kit's own map: [demo llms.txt](https://demo.kit-project.com/llms.txt), [mews llms.txt](https://mews.kit-project.com/llms.txt), [real llms.txt](https://real.kit-project.com/llms.txt). If a call starts failing, re-read the map. ## No MCP client? No problem Every kit also serves keyless HTTP GETs (search, read, graph pivot), documented in its llms.txt. A browser-only version of the whole exam runs at [demo.kit-project.com/investigate](https://demo.kit-project.com/investigate). ## Scoped access, demonstrated The papers kit also publishes **the apprentice key**, a deliberately narrowed credential (`allowed_areas: columns`): the same kit through a smaller window. Run the same leak query with the full key and with the apprentice key and watch the private journals vanish from the answers. That mechanism, a company kit sharing one knowledge area with a contractor's agent, is enforced in the read path, not in copy. Current apprentice key, same rotation rule: ``` kbr_live_FoAauFWl7_IoDswh8rJrFvCw2qnblQTOF8DuSBkbj7A ``` ## What these servers are, honestly Read-only museum copies of Kit substrates: hybrid semantic + keyword recall, typed knowledge graphs (including `supersedes` edges that keep replaced truth citable), source artifacts with real URLs, and honest empty results when nothing is held. They demonstrate read-time behavior; a full Kit also writes, consolidates while it sleeps, and hands off between sessions on your own machine. There is a replayable benchmark built on these exact servers: [kit-memory-eval](https://github.com/PeterAtPondo/kit-memory-eval). The build story: [kit-project.com/blog](https://kit-project.com/blog/), note No. 022 in particular. The product: [kit-project.com](https://kit-project.com), local-first, invite beta. ## License MIT (code and examples in this repo). The demo worlds themselves are licensed with the benchmark: see kit-memory-eval's DATA-LICENSE.
What people ask about kit-demo-mcp
What is PeterAtPondo/kit-demo-mcp?
+
PeterAtPondo/kit-demo-mcp is mcp servers for the Claude AI ecosystem with 0 GitHub stars.
How do I install kit-demo-mcp?
+
You can install kit-demo-mcp by cloning the repository (https://github.com/PeterAtPondo/kit-demo-mcp) or following the README instructions on GitHub. ClaudeWave also provides quick install blocks on this page.
Is PeterAtPondo/kit-demo-mcp safe to use?
+
PeterAtPondo/kit-demo-mcp has not been audited yet by our security agent. Review the original repository on GitHub before using it in production.
Who maintains PeterAtPondo/kit-demo-mcp?
+
PeterAtPondo/kit-demo-mcp is maintained by PeterAtPondo. The last recorded GitHub activity is from today, with 0 open issues.
Are there alternatives to kit-demo-mcp?
+
Yes. On ClaudeWave you can browse similar mcp servers at /categories/mcp, sorted by popularity or recent activity.
Deploy kit-demo-mcp to your cloud
Ship this repo to production in minutes. Each platform spins up its own environment with editable env vars.
Maintain this repo? Add a badge to your README
Drop the badge into your GitHub README to show it's tracked on ClaudeWave. Each badge links back to this page and reflects the live Trust Score.
[](https://claudewave.com/repo/peteratpondo-kit-demo-mcp)<a href="https://claudewave.com/repo/peteratpondo-kit-demo-mcp"><img src="https://claudewave.com/api/badge/peteratpondo-kit-demo-mcp" alt="Featured on ClaudeWave: PeterAtPondo/kit-demo-mcp" width="320" height="64" /></a>More MCP Servers
Fair-code workflow automation platform with native AI capabilities. Combine visual building with custom code, self-host or cloud, 400+ integrations.
User-friendly AI Interface (Supports Ollama, OpenAI API, ...)
An open-source AI agent that brings the power of Gemini directly into your terminal.
The fastest path to AI-powered full stack observability, even for lean teams.
Real-time global intelligence dashboard. AI-powered news aggregation, geopolitical monitoring, and infrastructure tracking in a unified situational awareness interface
🕷️ An adaptive Web Scraping framework that handles everything from a single request to a full-scale crawl!