madjik-io/mcp-server
Quantum-finance market metrics for AI agents, computed by the Black Belt Labs engine.
Connector by madjik-io · GitHub account verified by the MCP Registry
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Install
Works with Claude Code, Codex, VS Code, Cursor, Windsurf, Claude Desktop. Read the repository before you give any tool access to your data.
npx agentmarket install connector/madjik-io-mcp-server
Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.
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About
Reviews
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Permissions
What this server can do and what it asks for, from its tool list and install config. Checked Oct 25, 2026.
- Tools
- 6 read · 0 write · 0 deleteRead-only
- Secrets
- 1 (API keys, tokens or passwords)
- Install scripts
- Not scanned yet
- Runs as
- Node.js package
Tools by what they do 6
Read from the source code; the running server may list different tools.
Read 6 · Look things up without changing anything.
get_ai_metricsget_metricget_quantum_metricsget_risk_snapshotlist_metricssearch_metrics
Secrets and settings it asks for
Secrets: values you paste in that let it act as you.
MADJIK_API_KEY
Tools (6)
Read from the source code; the running server may differ. Descriptions are the server’s own words; hidden characters are shown as [U+…].
get_ai_metricsFetch all AI-enhanced metrics: Sentiment (M50017), Market Narrative (M50019), Anomaly Detection (M50020), Regime Detection (M50016), and Regulatory Risk (M50010). All computed via Gemini on Vertex AI.
get_metricFetch the current value, signal, and metadata for a single Madjik metric by ID (computed by Black Belt Labs). Use list_metrics or search_metrics first to find the right metric ID.
get_quantum_metricsFetch all quantum-computed metrics: Portfolio Optimisation (M50021) and Risk Simulation VaR (M50022). These are the flagship Black Belt Labs QC outputs.
get_risk_snapshotFetch a composite risk snapshot combining QC VaR (M50022), Leverage Stress (M50002), Liquidation Cascade Risk (M50004), and Correlation Breakdown (M50003). Use this for a fast single-call risk assessment.
list_metricsList all available Black Belt Labs metrics with their IDs, names, categories, computation method (quantum / ai / classical), and descriptions.
search_metricsSearch Black Belt Labs metrics by keyword. Searches metric names, descriptions, and categories.
Signals
- Stars
- 0
- Forks
- 0
- Open issues
- 0
- Last commit
- Aug 30, 2026 (2 months ago)
- Last release
- Aug 31, 2026 (2 months ago)
From GitHub (fetched Oct 24, 2026).
Details
- Registry name
io.github.madjik-io/mcp-server- Version
- 2.0.2
- Auth
- API key
- Packages
- npm madjik-mcp-server
- License
- MIT
- Repository
- github.com/madjik-io/mcp-server
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
Done for you
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Chalk Labs scopes, builds and runs agents for your team: the task audit, the eval harness, the integrations and the weekly ops report. Fixed scope, priced before we start.
See how we build AI agents →Read the case studies
Chalk Labs is a two-founder AI and growth studio. We build AI agents, CRMs and MVPs for Web3 and AI companies, and have shipped 50+ product and token launches.
- launches shipped
- 50+
- launches shipped
- media placements
- 500+
- media placements
- founders on every account
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- founders on every account
Press we've placed: Forbes · CoinDesk · Decrypt · Cointelegraph · The Block
Rahil Jain, Co-founder, Chalk Labs. Ex-Goldman Sachs engineer. You talk to the person who builds it.
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Cite this page
madjik-io/mcp-server. Agent Mart. https://agentmart.dev/connectors/madjik-io-mcp-server (last updated 2026-10-24)