io.github.blockchainacademics/mcp

MCPcommunity
v0.4.2io.github.blockchainacademicsUnknownUpdated 1mo agonpmGitHub

Crypto MCP — 99 tools across news, market, on-chain, sentiment, indicators, agent generation.

The canonical crypto MCP server for AI agents. 99 tools spanning 3,501+ editorial articles, 200+ entity dossiers, 43 academy lessons, aggregated market + on-chain data, proprietary indicators, and async agent-backed generation — all accessible as MCP tools your AI agent can call natively. Category | Count | Examples | Content & corpus | 7 | , , , , , | Market data | 4 | , , , | On-chain | 4 | , ,…

Automatically indexed from public sources. Not yet verified by the developer on Forge.Claim this listing →
1mo agoLast update
Package
Authorio.github.blockchainacademics
LicenseUnknown
Version0.4.2
Sourcemcp-registry
npm@blockchainacademics/mcp
GitHubblockchainacademics/bca-mcp
Trust Status
B
60/100Good
✓Listed in Forge index+10/10
—Publisher identity verified+0/25
→ Publisher: run `forge publish` from the package repo to claim ownership
—Ed25519 publish signature+0/10
→ Included automatically when the publisher runs `forge publish`
—Domain verification+0/5
→ Publisher: host /.well-known/forge.json on the package homepage with { "publisher": "<github-login>" }
✓CVE scan · clean+30/30
✓Static analysis · clean+20/20
—npm provenance (Sigstore)+0/5
→ Publish from GitHub Actions with the --provenance flag
Paste into Claude Code, Cursor, or any AI assistant to fix all gaps
StatusCommunity-indexed
PublisherUnverified
SignatureUnsigned
Domain—
Provenance—
Dependencies✓ 60 resolved+ · none vulnerable
Tool surface40 tools · none privileged
Security scan✓ Cleanv0.5.1 · 20d ago
EvalsNone
IndexedJun 13, 2026

Verification confirms publisher identity (repo ownership), not code safety. The security scan covers known CVEs and suspicious install scripts — it cannot prove the absence of malicious code.

About

The canonical crypto MCP server for AI agents. 99 tools spanning 3,501+ editorial articles, 200+ entity dossiers, 43 academy lessons, aggregated market + on-chain data, proprietary indicators, and async agent-backed generation — all accessible as MCP tools your AI agent can call natively. Category | Count | Examples | Content & corpus | 7 | , , , , , | Market data | 4 | , , , | On-chain | 4 | , , , | Sentiment | 3 | , , | Proprietary indicators | 6 | , , , , , | Agent-backed (async, Pro+) | 6 |…

Keywords
mcp