Cerebrus Pulse MCP
Pull real-time crypto technical analysis, sentiment, and funding rates into agent research before you commit to a trade or tool idea.
Overview
cerebrus-pulse-mcp is a MCP server for the Idea phase that delivers real-time crypto technical analysis, sentiment, and funding rates to research workflows.
What is this MCP server?
- Real-time crypto intelligence: technical analysis, sentiment, and funding rates in one MCP server
- Cerebrus Pulse MCP v0.2.0 distributed via PyPI package cerebrus-pulse-mcp
- Stdio MCP transport for Python-based agent hosts
- Supports pre-build research for trading assistants, alerts, and analytics side projects
- No documented mandatory API keys in the published server schema snippet
- Published version 0.2.0 on PyPI identifier cerebrus-pulse-mcp
- Stdio transport; no environment variables listed in supplied server.json excerpt
- Repository: github.com/0xsl1m/cerebrus-pulse-mcp
What problem does it solve?
Crypto side projects stall when you manually tab between charts, funding dashboards, and sentiment feeds instead of letting an agent synthesize live market context.
Who is it for?
Indie builders researching crypto trading tools, alert bots, or analytics agents who want MCP-native market intelligence during ideation.
Skip if: Non-crypto products, regulated institutional trading stacks that need certified data vendors only, or teams needing guaranteed SLA market data without evaluation.
What do I get? / Deliverables
After installing the PyPI MCP server, your agent can query consolidated crypto TA, sentiment, and funding data while you scope or validate a trading-related build.
- Agent-queryable crypto TA, sentiment, and funding rate signals
- Repeatable MCP stdio integration for market research sessions
- Faster validation of whether live data quality supports your crypto tool concept
Recommended MCP Servers
Journey fit
Market and sentiment research happens before you build trading bots, dashboards, or crypto SaaS—canonical shelf is Idea research. TA, sentiment, and funding data are discovery inputs, not production monitoring or ship-time security checks.
How it compares
Real-time crypto research MCP, not an exchange execution connector or portfolio custody integration.
Common Questions / FAQ
Who is cerebrus-pulse-mcp for?
Solo developers prototyping crypto trading or analytics agents who want TA, sentiment, and funding rates available inside MCP-aware coding tools.
When should I use cerebrus-pulse-mcp?
During idea and research when you compare narratives, funding pressure, and technical setups before building automation or dashboards.
How do I add cerebrus-pulse-mcp to my agent?
Install cerebrus-pulse-mcp from PyPI, register the stdio MCP server in your host config, and verify Python runtime compatibility for v0.2.0.