Spec Driven Development
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
Beschreibung vom Entwickler (englisches Original)
Crypto fundamentals, sentiment, whale tracking and influencer call accuracy for traders and agents.
Diese drei werden nie zu einer Punktzahl zusammengefasst: Meinungen, Messungen und Beliebtheit sind verschiedene Dinge.
Für diesen Server haben wir noch keine Zusammenfassung in einfacher Sprache geschrieben. Unten stehen die Fakten, die wir aus der Registry gelesen haben.
Wähle die KI-App, die du nutzt, und kopiere die Einstellungen.
Du brauchst
Welche App nutzt du?
Wähle oben deine App. Wir merken sie uns, damit der Button beim nächsten Mal „In … installieren“ anzeigt.
Funktioniert in Claude im Web, auf dem Desktop und auf dem Handy:
https://onvexia.com/mcpFühre das in deinem Terminal aus
claude mcp add --transport http onvexia https://onvexia.com/mcpIn .cursor/mcp.json in deinem Projekt oder in ~/.cursor/mcp.json einfügen
{
"mcpServers": {
"onvexia": {
"url": "https://onvexia.com/mcp"
}
}
}Dein Browser fragt, ob er die App öffnen darf, dann zeigt die App die Einstellungen und bittet dich um Bestätigung. Schlüsselwerte bleiben leer, damit du sie selbst einträgst.
In .vscode/mcp.json in deinem Projekt einfügen
{
"servers": {
"onvexia": {
"type": "http",
"url": "https://onvexia.com/mcp"
}
}
}Dein Browser fragt, ob er die App öffnen darf, dann zeigt die App die Einstellungen und bittet dich um Bestätigung. Schlüsselwerte bleiben leer, damit du sie selbst einträgst.
ChatGPT verbindet sich nur mit Servern im Internet:
https://onvexia.com/mcpMenünamen können sich je nach Tarif und mit der Zeit leicht unterscheiden.
Deine Auswahl bleibt in einem Cookie auf diesem Gerät; kein Konto nötig.
Diese Einstellungen werden aus dem Registry-Eintrag des Entwicklers erzeugt. Wenn in der README etwas anderes steht, folge der README.
Die Tool-Liste dieses Servers haben wir noch nicht gelesen; wir prüfen die Endpunkte reihum.
Wir prüfen Informationen, die jeder sehen kann; den Code haben wir nicht gelesen. Checks, die nicht zutreffen, werden nicht mitgezählt. · Geprüft am 6. Nov. 2026
Der Registry-Name wurde über die Domain onvexia.com bestätigt (die Registry prüft, wem die Domain gehört)
Dieses Repo haben wir noch nicht von GitHub gelesen
Dieses Repo haben wir noch nicht von GitHub gelesen
Noch nicht geprüft; wir prüfen die Endpunkte reihum
Noch nicht geprüft; wir prüfen die Endpunkte reihum
Noch nicht geprüft; wir lesen die Tool-Liste, wenn wir den Endpunkt prüfen
Verglichen mit allen aktiven Servern dieser Kategorie in der Registry. Sterne zählen nur, wenn dem Herausgeber das Repo gehört.
Er hat 1 von 1 zutreffenden Basischecks bestanden. Den Code haben wir nicht gelesen. Bevor du einen Schlüssel oder Token hinzufügst, sieh nach, welche Zugriffe der Server verlangt, und nutze einen Schlüssel, der nur die Berechtigungen hat, die du brauchst.
Die Registry nennt keinen erforderlichen Schlüssel, manche Server bitten dich aber bei der ersten Nutzung, dich anzumelden.
Er läuft in der Cloud des Entwicklers. Du verbindest dich übers Internet, ohne etwas zu installieren, aber was du sendest, läuft über die Server des Entwicklers.
Das GitHub-Repo wurde zuletzt – geändert, und die neueste Version (1.0.9) kam vor 33 Tagen in die Registry.
Apps, die MCP unterstützen, etwa Claude Desktop, Claude Code, Cursor und VS Code. Er verbindet sich per URL, also funktionieren auch Apps, die Remote-MCP-Server akzeptieren, zum Beispiel ChatGPT im Entwicklermodus.
In derselben Kategorie: Spec Driven Development, Remote Desktop Commander, AI Deprecations
Server derselben Kategorie von anderen Entwicklern, sortiert nach Sternen.
So liest du eine Karte:★ GitHub-SterneiDrei Säulen: Bewertungen · Checks · NutzungiAktualisiert = neueste Version in der Registry veröffentlichti
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
Remote Desktop Commander: use files, terminal and processes on your own computers from any AI app.
AI model shutdown dates, replacements, change feed and webhook alerts for 8 providers.
Unverändert aus dem Repo des Entwicklers übernommen. PopNx MCP hat den Inhalt weder geprüft noch empfiehlt es ihn. HTML, Bilder und Skripte wurden entfernt. Links führen von dieser Website weg.
Crypto fundamental analysis, sentiment, whale tracking and on-chain analytics, for traders, investors and AI agents 66 read-only tools · 2,300+ coins · works in Claude, ChatGPT and Cursor · no install · free API key
claude mcp add --transport http onvexia https://onvexia.com/mcp \
--header "X-API-Key: YOUR_ONVEXIA_KEY"
The server is hosted: nothing to clone and nothing to run. Get a free key at onvexia.com/signup (then Account, API keys). During the launch offer every tool is free on an account. Without a key, one tool (get_data_coverage) answers, and every other tool replies with how to add a key or pay per call.
ChatGPT, Cursor, Windsurf, Cline, and any other MCP client
Any client that speaks Streamable HTTP:
{
"mcpServers": { "onvexia": { "type": "http", "url": "https://onvexia.com/mcp", "headers": { "X-API-Key": "YOUR_ONVEXIA_KEY" } } } }
Or install across clients with Smithery:
npx -y @smithery/cli install farazgr8007/onvexia
If you trade or invest: by the time a coin is trending on your timeline, you cannot tell whether 40,000 mentions came from 40,000 people or 400 bots, whether the wallets buying are accumulating or are exchange hot wallets about to sell, or whether the account that called it has ever been right before. That information exists on-chain and in public posts. It is just not in one place at the moment you need it.
If you build with AI: an LLM asked about a token answers from training data months old, and — worse — cannot tell you when it *does not know*. A quiet market and a hole in its knowledge look identical in the answer you get back.
Onvexia gives both live measurements, and makes the answer say which is which.
Once connected, these are ordinary questions in plain English:
Trading and research
Fundamental analysis and due diligence
Accountability
Sanity checks
Onvexia is a crypto research and market intelligence platform for traders, investors, analysts and AI agents. Find out whether a token's hype is real or manufactured, which wallets are quietly accumulating or dumping, which altcoins have social momentum building before the price moves, and whether the influencer calling it has ever actually been right.
Use it through any AI assistant (Claude, ChatGPT, Cursor) by connecting one URL, with nothing to install. Add a free Onvexia API key, or pay per call in USDC over x402 with no account.
Use Onvexia to:
▪ Check if crypto hype is real or bot-driven before you buy ▪ Spot pump-and-dump and coordinated shill campaigns while they are forming ▪ Track whale wallets, smart money and exchange inflows/outflows across 80,000+ labelled addresses ▪ Find trending altcoins early with social volume and sentiment from X/Twitter, Reddit, Farcaster and Bluesky ▪ Rank 2,300+ coins by Galaxy Score and AltRank, with the components behind every score ▪ Check whether a crypto influencer's calls came true — every call as a receipt linked to the original post, with the hit rate at 24h, 7d and 30d measured against holding BTC ▪ Run full crypto fundamental analysis on any token: market cap vs fully diluted valuation (FDV), tokenomics and supply schedule, protocol revenue, TVL, DAO treasury size and composition, exploit history, governance proposals, derivatives open interest, valuation ratios and a graded scorecard ▪ Do token due diligence before you buy: unlock schedules, holder concentration, competitive rank against peers ▪ Screen 2,300+ cryptocurrencies on social, on-chain and fundamental filters ▪ Find emerging DEX pairs and new exchange listings before they trend ▪ Query the entire dataset directly with read-only SQL
The MCP is public and read-only: connect with no install. To use the 66 tools, add a free Onvexia API key (sign up at onvexia.com; every tool is free on an account during the launch offer), or pay per call in USDC over x402 with no account at all.
Every response separates what was measured from what is not held. Sections carry a state, coverage counts ship alongside the results, and a null label means no label is held — never that a wallet or an influencer is safe. An empty list is never by itself evidence that nothing happened.
Galaxy Score and AltRank measure attention and social-market health. They are not valuation, price targets, or investment advice. Nothing here is a recommendation to buy or sell.
MCP endpoint: https://onvexia.com/mcp API documentation: https://onvexia.com/openapi.json Agent contract: https://onvexia.com/llms.txt Pricing manifest: https://onvexia.com/.well-known/x402
$ curl -s -X POST https://onvexia.com/mcp \
-H 'Content-Type: application/json' \ -H 'Accept: application/json, text/event-stream' \ -d '{"jsonrpc":"2.0","id":1,"method":"tools/call", "params":{"name":"get_data_coverage","arguments":{}}}'
{ "assets": 2308, "assets_priced": 2308, "labelled_addresses": 80062, "whale_transactions": 118214, "social_posts": 663639, "chains_with_onchain_flows": 7 }
A real response from the live endpoint. The numbers move: the corpus grew by 1,376 posts between two runs an hour apart.
`get_data_coverage` is the tool to call first. It reports what is actually held right now, so an agent can tell a quiet market from a hole in the data before it reasons about either. There is also a pure-stdlib example in examples/quickstart.py.
| Group | Tools |
|---|---|
| Assets | get_asset · search_assets · get_asset_platforms · get_asset_revisions · resolve_ticker · get_entities |
| Coverage | get_data_coverage · get_chain_coverage · get_social_coverage · get_address_coverage |
| Scores | get_asset_scores · get_top_galaxy_scores · get_top_altranks · get_creator_rankings |
| Social | get_social_dominance · get_topic_rank · get_influencers · get_trending_assets · get_social_posts · get_similar_posts · get_asset_social_signal |
| Sentiment | analyze_sentiment · get_aspect_sentiment · get_sentiment_trends |
| Signal integrity | get_signal_integrity · get_bot_detections · get_coordinated_campaigns · get_ai_substance |
| Influencer ledger | get_influencer_ledger (view: accountability · accuracy · calls) · get_influencer_leaderboard (rank_by: accountability · accuracy) |
| Fundamentals | get_asset_fundamentals · get_asset_technicals · get_disclosures |
| On-chain | get_whale_transactions · get_exchange_flows · get_exchange_netflow · get_entity_flows · lookup_address · list_labelled_addresses · get_address_events · get_hodl_waves · get_constellation |
| Market | get_ohlcv · get_emerging_dex_pairs · get_exchange_listings · get_wrapper_basis |
| Analytics | get_correlation · get_leading_indicators |
| Metrics | list_metrics · get_metric_metadata · get_metric_timeseries · get_metric_timeseries_multi · get_metrics_batch · get_metric_revisions |
| Screener | screen_assets · screener_fields · list_nl_screens |
| Narrative | get_trending_stories · get_story_posts · get_narrative_clusters · get_narrative_rotation |
| Research | list_research_reports · get_research_report |
| SQL | run_sql · get_sql_schema |
| Agents | get_agent_findings |
Every tool carries a title and readOnlyHint, and no description is shorter than 80 characters. That is enforced, not maintained: the server refuses to build if a tool is missing from TOOL_TITLES, and tests/test_tool_metadata.py asserts the rest by reading the surface back through list_tools() — the same call your client makes. Nothing here writes, and no tool can move funds.
With a free Onvexia API key, sent as the X-API-Key header, every tool is free during the launch offer. With no account at all, metered endpoints can be paid per call with x402 (USDC on Base, via Coinbase's CDP facilitator), so an autonomous agent can use paid data without a human ever creating an account:
export X402_CLIENT_PRIVATE_KEY=0x... # a BURNER wallet, never a treasury key
$0.001 to $0.01 per call, published per endpoint in /.well-known/x402 and as x-payment-info on every priced operation in /openapi.json.
Three properties worth knowing before pointing it at mainnet:
max_payment_atomic caps what one call can sign away.This is the part most data APIs get wrong, and it matters more for an agent than for a human — a human notices an empty chart, an LLM confidently summarises it.
state: measured, not_held, or failed.You do not need to; the hosted endpoint is the supported path. This repository is the same server that runs it.
Nur der Anfang wird gezeigt; den Rest findest du im Repo