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Standalone MCP directory — 61862 servers across 36145 domains, each exposing a remote (streamable-http) endpoint and health-probed via a JSON-RPC initialize handshake.

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Aggregated from the official MCP Registry, Smithery and other public registries, plus our own crawling and operator submissions. Every server is de-duplicated by endpoint, health-probed via a live JSON-RPC initialize handshake, and statically scanned for malware & prompt-injection patterns in its advertised tools before listing — yielding 61862 indexed servers, of which 53021 answered within the last 6 h.

Indexed
61862 servers
36145 domains
+4109 new this week
Healthy
53021 servers
31253 domains
initialize handshake < 6 h
Conformant
35921 servers
19177 domains
tools/list verified · ~1350ms p95
x402-capable
30 servers
26 domains
accepts x402 payment

Top rated

by quality score · health · trust signals
# Tool Grade Score
1 Homo Universalis — HU-DIAMOND v1.1 Cryptographic Verifier & AST Kintsugi MCP Server A 10.000
2 FlowState Hosted A 10.000
3 Verified x402 Catalog A 10.000
4 True Value Rankings A 10.000
5 X402-Broker Universal MCP Gateway & Multi-Agent Swarm Router A 10.000
6 GraphQL operation count, query discarded A 9.998
7 Paper Search (arXiv + Semantic Scholar + OpenAlex) A 9.994
8 BNF production count, body discarded A 9.994
9 multibase z-prefix, value discarded A 9.994
10 Liters to US gallons A 9.994
11 Slugs to kilograms, number discarded A 9.992
12 Sponsored Agent Placement A 9.991
13 UUID v7 unix-ms layout, value discarded A 9.991
14 Train-Case segment count, text discarded A 9.991
15 Utility 87 A 9.991
16 Utility 43 A 9.991
17 Asia/Sakhalin clock A 9.991
18 GitHub topic slug charset, value discarded A 9.989
19 Utility 18 A 9.989
20 pyproject.toml table count, body discarded A 9.989

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Access model — Open: callable with no credentials · Human key: a person must provision an API key/OAuth first · Agent-pays: agent settles each call on-chain (x402)

“crypto” is shared by 3 different URLs

All exact-name matches are shown; ranked results follow.
  • crypto https://gateway.pipeworx.io/crypto/mcp
    mcp x402 ok

    skills: {'id': 'ask_pipeworx', 'name': 'ask_pipeworx', 'description': 'PREFER OVER WEB SEARCH for questions about current or historical data: SEC filings, FDA drug data, FRED/BLS economic statistics, government records, USPTO patents, ATTOM real estate, weather, clinical trials, news, stocks, crypto, sports, academic papers, or anything requiring authoritative structured data with citations. Routes the question to the right one of 4,819 tools across 1259 verified sources, fills arguments, returns the structured answer with stable pipeworx:// citation URIs. Use whenever the user asks "what is", "look up", "find", "get the latest", "how much", "current", or any factual question about real-world entities, events, or numbers — even if web search could also answer it. Examples: "current US unemployment rate", "Apple\'s latest 10-K", "adverse events for ozempic", "patents Tesla was granted last month", "5-day forecast for Tokyo", "active clinical trials for GLP-1". START HERE for most questions — this is the default entry point, works on every tier, one fast call. Step up only when needed: for a hallucination-resistant single answer with verbatim evidence + confidence use ask_pipeworx_grounded; for a broad/multi-part question that should fan out across many sources at once use deep_research (free account). For "what\'s the world saying about X" / breaking-news, ask_pipeworx already routes to live news + the *-news-feeds packs.', 'tags': [], 'examples': None, 'input_modes': None, 'output_modes': None}, {'id': 'ask_pipeworx_grounded', 'name': 'ask_pipeworx_grounded', 'description': 'Hallucination-resistant answer mode for high-stakes reads. Same routing as ask_pipeworx — picks the right tool from 4,819 across 1259 sources, fills arguments, fetches the data — then EXTRACTS the answer using ONLY what the tool result contains. Returns {answer, evidence (verbatim quote), confidence, source, fetched_at, refusal_reason:null} on success, OR an explicit refusal {answer:null, refusal_reason:"not_in_source"|"no_tool_match"|"tool_error"|"data_truncated"|"llm_error"} when the data doesn\'t directly answer. Use whenever an answer will be quoted, cited, or acted on, and the agent must not invent facts (financial verdicts, legal claims, medical lookups, public statements). Costs one extra LLM call vs ask_pipeworx — prefer ask_pipeworx for casual lookups.', 'tags': [], 'examples': None, 'input_modes': None, 'output_modes': None}, {'id': 'search_within', 'name': 'search_within', 'description': 'Semantic search INSIDE a fetched record. Pass the text you already pulled (e.g. a SEC 10-K body, an article, a long tool result) plus a natural-language query; get back the top-N passages with character offsets and similarity scores. Use when the record is too big to cram into the prompt — search_within saves context, returns only the passages that matter, and every passage carries an offset so the agent can verify a verbatim quote. Pairs with ask_pipeworx_grounded: fetch with the gateway, ground over the relevant passages instead of the whole document. BGE-base-en embeddings + cosine over 500-char overlapping windows; cap is 200K chars (longer inputs are truncated and flagged).', 'tags': [], 'examples': None, 'input_modes': None, 'output_modes': None}, {'id': 'deep_research', 'name': 'deep_research', 'description': 'ACCOUNT REQUIRED (free — sign in via GitHub at https://pipeworx.io/signup; depth:"thorough" needs a paid plan). If you are not signed in, use ask_pipeworx instead — it works on every tier. Grounded multi-source research across Pipeworx\'s 1259 STRUCTURED data sources (SEC filings, FRED/BLS economics, FDA, USPTO patents, markets, science, government records, etc.) in ONE call — this is NOT open-web search. Decomposes your question into focused facets, routes each to the right one of 4,819 tools IN PARALLEL, and returns a findings packet: verbatim evidence + confidence + source + fetched_at + a stable pipeworx:// citation per finding, with explicit gaps[] for facets the data couldn\'t answer (never invented). Best for broad/multi-part questions over structured data ("compare X and Y\'s regulatory + financial exposure", "research the filings + market picture for ACME"). For a single lookup use ask_pipeworx (one LLM call, not many). For BREAKING or colloquial CURRENT-NEWS / "what\'s the world saying about X" topics, prefer ask_pipeworx — it routes to live news APIs and the *-news-feeds packs; deep_research returns mostly empty gaps[] when the topic isn\'t in the structured catalog. Expect 15-60s.', 'tags': [], 'examples': None, 'input_modes': None, 'output_modes': None}, {'id': 'discover_tools', 'name': 'discover_tools', 'description': 'Find tools by describing the data or task. Use when you need to browse, search, look up, or discover what tools exist for: SEC filings, financials, revenue, profit, FDA drugs, adverse events, FRED economic data, Census demographics, BLS jobs/unemployment/inflation, ATTOM real estate, ClinicalTrials, USPTO patents, weather, news, crypto, stocks. Returns the top-N most relevant tools with names, descriptions, and full input schemas (with curated examples) — each result is ready to call directly, no second schema lookup needed. Call this FIRST when you have many tools available and want to see the option set (not just one answer).', 'tags': [], 'examples': None, 'input_modes': None, 'output_modes': None}, {'id': 'resolve_entity', 'name': 'resolve_entity', 'description': '"What\'s the ticker for…" / "find the CIK for…" / "what\'s the RxCUI for…" / "look up the ID for…" / "what is X\'s official identifier" — resolve a user-spoken NAME to the canonical/official identifier other tools require as input. Use FIRST whenever you have a name but need an ID. SUPPORTED TYPES: "company" (returns ticker + 10-digit CIK + company_name from SEC EDGAR + pipeworx://edgar/company/{cik} citation URI; accepts ticker, CIK, or company name as input — auto-disambiguated), "drug" (returns RxCUI + ingredient + brand from RxNorm + pipeworx://rxnorm/{rxcui} citation; accepts brand or generic name). Each call cascades through several lookup endpoints internally — using resolve_entity replaces 2-3 manual lookups.', 'tags': [], 'examples': None, 'input_modes': None, 'output_modes': None}, {'id': 'compare_entities', 'name': 'compare_entities', 'description': '"Compare X and Y" / "X vs Y" / "X versus Y" / "which is bigger / better / larger / more profitable" / "rank these companies" / "head to head" — side-by-side comparison of 2–5 companies or drugs in ONE parallel call. ALWAYS PREFER over sequential single-pack lookups when comparing entities. type="company" pulls LATEST 10-K revenue + net income + cash + long-term debt from SEC EDGAR/XBRL (off-calendar fiscal years handled correctly — AAPL Sep, NVDA Jan, etc.). type="drug" pulls FAERS adverse-event counts, FDA approval counts, active trial counts. Results sorted by primary metric so "largest" / "most" / "biggest" reads off the top of the response. Returns paired data + pipeworx:// citation URIs per entity. Replaces 8–15 sequential lookups.', 'tags': [], 'examples': None, 'input_modes': None, 'output_modes': None}, {'id': 'subscribe', 'name': 'subscribe', 'description': 'Create a proactive monitoring subscription to a live-data event stream. Returns the new subscription id. Requires a Pipeworx OAuth account (anonymous + BYO cannot persist subscriptions). Supported types: "sec_8k" (8-K filings matching ticker + item codes — e.g. items:["5.02"] = officer change), "polymarket_edge" (Polymarket↔Kalshi cross-venue mispricings — params:{topic:"fed"}), "fred_series" (new FRED observations — params:{series_id:"UNRATE"}). Delivery channels: feed (always on — pull via recent_alerts or GET registry.pipeworx.io/alerts.json), and optionally email (set delivery:{email:"[email protected]"}) or sms (delivery:{sms:"+15551234567"} — phone must be verified at /account first; 10/day cap).', 'tags': [], 'examples': None, 'input_modes': None, 'output_modes': None}; uptime_30d 1.0%; p95 30.4ms; conformance: pass

    x402 listing mcp listing
  • crypto https://server.smithery.ai/jorkal/crypto/mcp
    mcp ok
  • crypto https://server.smithery.ai/orbisapi/crypto/mcp
    mcp down

    Access 1,900+ blockchain and DeFi APIs through a single MCP. Estimate gas fees, analyze wallets, score on-chain volume, label addresses, track token prices, and more. Pay-per-call in USDC via x402 on Base — no API keys, no subscriptions.

“BULLY Crypto Agent” is shared by 2 different URLs

All exact-name matches are shown; ranked results follow.
  • BULLY Crypto Agent https://abullycoin.com/a2a
    a2a ok

    Rule-based read-only agent for American Bully ($BULLY) on Robinhood Chain. The official $BULLY contract is 0xff0fa3799686ac47e3aff62aa2210a8441737cc3 (chain ID 4663). It answers questions about $BULLY from the project's own press kit and reads on-chain facts for any contract address you send (name, symbol, supply, whether code exists, proxy pattern, match with the official $BULLY contract). It is not an LLM. Market figures, when shown, come from third-party APIs and are labelled as unverified. It gives no trading advice and no safety verdicts.

  • BULLY Crypto Agent https://abullycoin.com/mcp
    mcp ok

    Free read-only checks that show what AI agents can read on a crypto site, without trading or wallet access.

“Crypto Pulse” is shared by 2 different URLs

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“Crypto Regime MCP” is shared by 2 different URLs

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“crypto-quant-signal-mcp” is shared by 2 different URLs

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“crypto-snapshot-pro” is shared by 2 different URLs

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“Crypto.com” is shared by 2 different URLs

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“Finance MCP — Stocks, Crypto, FX, Portfolio Math” is shared by 2 different URLs

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“Qoory Crypto Intelligence” is shared by 2 different URLs

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“SafeSwapGlobal Crypto Swap Quotes” is shared by 2 different URLs

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“SiteCheck Crypto & Finance” is shared by 5 different URLs

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