nonkyc-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., "@nonkyc-mcpwhat's the latest BTCB2 ticker on NonKYC.io?"
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.
nonkyc-mcp
An MCP server for NonKYC.io market data with technical-analysis algorithms, focused on BTCB2 (Bitcoin Blake2b). It is built in the open by four adversarial AI agents running as GitHub Agentic Workflows; see AGENTS.md.
Use it
npm ci && npm run buildAdd to an MCP client, for example Claude Code:
claude mcp add nonkyc -- node /path/to/nonkyc/dist/src/index.jsTools so far: get_ticker. The project brief lists what the agents are
building next.
Related MCP server: crypto-powerdata-mcp
Watch the agents
Actions tab: runs named
planner #N r1,reviewer #N r1 plan,implementer #N r1,verifier #N r1,merge #N r0.The issue: every role posts a comment with its verdict and a plain-language note.
The PR: reviewer inline comments and review summary.
Start work by labeling an issue agent (one at a time). Label the rest agent-queue;
each merge starts the oldest queued issue. Set the repository variable
AGENTS_PAUSED=true to stop everything. Issues labeled agent-blocked need you.
See docs/agent-loop.md for operating details.
Available Tools
1 toolget_tickerGet tickerB
24h ticker for a NonKYC market: last price, bid/ask, high/low, volume, change.
| Name | Required | Description | Default |
|---|---|---|---|
| market | No | Market as BASE_QUOTE, e.g. BTCB2_USDT, BTCB2_BTC, BTCB2_YEC | BTCB2_USDT |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description carries the full burden of behavioral disclosure. It mentions the 24h window and the data points returned but says nothing about whether the operation is read-only, requires authentication, has rate limits, or whether the data is real-time or cached.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single, information-dense sentence with no filler. It front-loads the scope and then lists the returned fields efficiently.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a simple 1-parameter tool with no output schema and no annotations, the description adequately covers the return contents by listing key fields, compensating for the missing output schema. It omits non-critical context such as authentication or rate limits, but the core information needed to call the tool is present.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema description coverage is 100%; the single 'market' parameter is fully documented in the schema with format and examples. The description adds no parameter-level detail beyond what the schema already provides, so baseline 3 is appropriate.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description names the resource (24h ticker) and the scope (NonKYC market) and enumerates the returned fields, making the tool's purpose immediately clear. It does not use an explicit verb, but the tool name 'get_ticker' supplies that, and there are no siblings to distinguish from.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description states what the tool returns but gives no guidance on when to use it versus alternatives (there are none listed) or any prerequisites. Usage is only implied by the data fields listed.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Tool Schema Changelog
Recent tool additions, removals, and schema changes observed during successful MCP inspections.
1 tool update
v0.1.0- First observed
get_ticker
TDQS
Scored across 1 tool
With only one tool, there is no possibility of confusing it with another; its purpose is unambiguous.
The single tool follows a clear verb_noun pattern (get_ticker), and no inconsistency exists within the set.
One tool is quite thin for a market data server; while it may be focused, a typical NonKYC integration would expose more endpoints.
Only ticker data is provided; missing order book, trades, market listing, and other common exchange data, creating significant gaps for most use cases.
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