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Crypto MCP — 99 tools across news, market, on-chain, sentiment, indicators, agent generation.
Crypto MCP — 99 tools across news, market, on-chain, sentiment, indicators, agent generation.
Valid MCP server (3 strong, 2 medium validity signals). No known CVEs in dependencies. Package registry verified. Imported from the Official MCP Registry.
4 files analyzed · 1 issue found
Security scores are indicators to help you make informed decisions, not guarantees. Always review permissions before connecting any MCP server.
This plugin requests these system permissions. Most are normal for its category.
Set these up before or after installing:
Environment variable: BCA_API_KEY
Environment variable: BCA_API_BASE
Add this to your MCP configuration file:
{
"mcpServers": {
"io-github-blockchainacademics-mcp": {
"env": {
"BCA_API_KEY": "your-bca-api-key-here",
"BCA_API_BASE": "your-bca-api-base-here"
},
"args": [
"-y",
"@blockchainacademics/mcp"
],
"command": "npx"
}
}
}From the project's GitHub README.
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 | search_news, get_article, get_entity, get_explainer, list_entity_mentions, get_as_of_snapshot |
| Market data | 4 | get_price, get_ohlc, get_market_overview, get_pair_data |
| On-chain | 4 | get_wallet_profile, get_tx, get_token_holders, get_defi_protocol |
| Sentiment | 3 | get_sentiment, get_social_pulse, get_fear_greed |
| Proprietary indicators | 6 | get_coverage_index, get_narrative_strength, get_sentiment_velocity, get_editorial_premium, get_kol_influence, get_risk_score |
| Agent-backed (async, Pro+) | 6 | generate_due_diligence, generate_tokenomics_model, summarize_whitepaper, translate_contract, monitor_keyword, get_agent_job |
| Directories | 13 | list_stablecoins, list_yields, list_aggregators, list_mcps, list_vcs, list_jobs, build_custom_indicator, … |
| Fundamentals | 6 | get_tokenomics, get_audit_reports, get_team_info, compare_protocols, check_rugpull_risk |
| Chain-specific | 4 | get_solana_ecosystem, get_l2_comparison, get_bitcoin_l2_status, get_ton_ecosystem |
| Markets microstructure | 5 | get_funding_rates, get_options_flow, get_liquidation_heatmap, get_exchange_flows, predict_listing |
| Narrative / meta | 5 | track_narrative, get_ai_agent_tokens, get_depin_projects, get_rwa_tokens, get_prediction_markets |
| Regulatory | 4 | get_regulatory_status, track_sec_filings, get_mica_status, get_tax_rules |
| Security | 4 | check_exploit_history, check_phishing_domain, get_bug_bounty_programs, scan_contract |
| Memes / degen | 4 | track_pumpfun, track_bonkfun, check_memecoin_risk, get_degen_leaderboard |
| Services (revenue) | 3 | book_kol_campaign, request_custom_research, submit_listing |
| History time-series | 4 | get_history_prices, get_history_sentiment, get_history_correlation, get_history_coverage |
| Compute / AI crypto | 2 | get_compute_pricing, get_ai_crypto_metrics |
| Corpus meta | 7 | list_entities, get_topic, search_academy, get_trending, get_unified_feed, list_sources, get_recent_stories |
| Memos + theses + social | 6 | list_memos, get_memo, list_theses, get_thesis, get_social_signals, get_social_signals_detail |
| Currencies | 2 | list_currencies, get_currency_feed |
Every tool response carries cite_url (with UTM src attribution), as_of (time-travel snapshot), and source_hash (content integrity).
Tools for unreleased integrations (Twitter social pulse, DEXTools, bonk.fun, Bittensor) return {status: "integration_pending", reason, eta} rather than failing. The MCP server is fully usable today.
LLMs hallucinate about crypto. BCA ships ground-truth editorial content with full attribution. Plug this MCP server into Claude Desktop, LangChain, Eliza, or any MCP-compatible agent and your model queries the BCA corpus like any other tool — with citations, timestamps, and source hashes on every response.
Add to claude_desktop_config.json (macOS: ~/Library/Application Support/Claude/claude_desktop_config.json):
{
"mcpServers": {
"blockchainacademics": {
"command": "npx",
"args": ["-y", "@blockchainacademics/mcp"],
"env": { "BCA_API_KEY": "bca_live_xxxxxxxxxxxxxxxx" }
}
}
}
Restart Claude Desktop. All 99 tools appear in the tool picker.
npm install @blockchainacademics/mcp
import { Client } from "@modelcontextprotocol/sdk/client/index.js";
import { StdioClientTransport } from "@modelcontextprotocol/sdk/client/stdio.js";
const transport = new StdioClientTransport({
command: "npx",
args: ["-y", "@blockchainacademics/mcp"],
env: { BCA_API_KEY: process.env.BCA_API_KEY! },
});
const client = new Client({ name: "my-agent", version: "0.0.1" }, { capabilities: {} });
await client.connect(transport);
const res = await client.callTool({
name: "search_news",
arguments: { query: "stablecoin regulation", limit: 5 },
});
console.log(res.content);
See examples/research-agent.ts for a full tool-chaining loop.
search_newsFull-text search across 3,501+ editorial crypto articles.
| arg | type | required | description |
|---|---|---|---|
query | string (1-512) | yes | Search query |
entity | string | no | Entity slug filter (e.g. ethereum) |
since | ISO 8601 | no | Earliest publish date |
topic | string | no | Topic filter (e.g. regulation) |
limit | number (1-50) | no | Default 10 |
Example: { "query": "circle IPO", "since": "2026-01-01T00:00:00Z", "limit": 5 }
get_entityFetch a canonical entity dossier. Provide exactly one of:
| arg | type | description |
|---|---|---|
slug | string | e.g. "vitalik-buterin", "circle" |
ticker | string | e.g. "ETH", "SOL" (case-insensitive) |
Aliases resolve automatically (CZ → changpeng-zhao, Maker → makerdao, BSC → bnb-chain, …).
get_explainerFetch a canonical academy lesson. Provide exactly one of:
| arg | type | description |
|---|---|---|
slug | string | Lesson slug, e.g. "what-is-a-blockchain" |
topic | string | Topic keyword that resolves to the canonical lesson |
Every response includes a structured attribution block:
{
"data": { ... },
"attribution": {
"cite_url": "https://blockchainacademics.com/...",
"as_of": "2026-04-19T12:34:56Z",
"source_hash": "sha256:..."
}
}
When your agent surfaces BCA content to a user, attribute via the cite_url. Fields are preserved as null when upstream omits them so downstream agents can detect missing provenance.
Get an API key at https://blockchainacademics.com/api (free tier: 2,000 calls/month). Paid tiers unlock agent-backed research generation and proprietary on-chain indicators.
Set BCA_API_KEY in your MCP client env. Optionally override BCA_API_BASE (default https://api.blockchainacademics.com). BCA_API_BASE_URL is also accepted for backward compatibility.
The server never crashes the stdio process. All failures surface as MCP responses with isError: true and a JSON body:
{ "error": { "code": "BCA_AUTH", "message": "..." } }
| Code | Meaning |
|---|---|
BCA_AUTH | Missing/invalid BCA_API_KEY (HTTP 401/403) |
BCA_RATE_LIMIT | Rate limit exceeded (HTTP 429 — honor Retry-After) |
BCA_UPSTREAM | BCA API returned 5xx or malformed JSON |
BCA_NETWORK | Network failure or 20s timeout exceeded |
BCA_BAD_REQUEST | Invalid tool arguments |
npm install
npm run build # tsc -> dist/
npm test # node:test smoke suite
npm run dev # tsx src/index.ts (stdio)
This repo uses pre-commit to enforce formatting, lint, secret scanning, and large-file caps before every commit. Install once per clone:
pip install pre-commit # or: brew install pre-commit
pre-commit install # wires .git/hooks/pre-commit
pre-commit run --all-files # optional: lint the full tree now
Hooks configured in .pre-commit-config.yaml: prettier --check, eslint, gitleaks, detect-private-key, check-added-large-files (500KB cap).
See SECURITY.md for vulnerability reporting, supported versions, and our 90-day coordinated disclosure policy.
MIT © 2026 Blockchain Academics
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