Catalyst Edge MCP vs Trading Signals

A side-by-side look at the Catalyst Edge MCP and Trading Signals MCP servers: transport, auth, tools, quality signals, and the config to install either one in Claude, Cursor, Windsurf or VS Code.

Catalyst Edge MCP logoCatalyst Edge MCPFinance & Fintech · Remote HTTP/SSEAudited SEC catalyst signals for agents — ranked filing intel with a public track record. Free tier.57GoodAuth: not declaredTrading Signals logoTrading SignalsFinance & Fintech · Remote HTTP/SSELive AI crypto trading signals for agents. No API key needed to try — 3 signals + hit rate.63GoodAuth: not declared

Verdict: choose Catalyst Edge MCP for finance & fintech work over a hosted endpoint; choose Trading Signals for finance & fintech over a hosted endpoint. You can also run both side by side in one mcpServers block.

Which MCP server should you choose?

Catalyst Edge MCP logoChoose Catalyst Edge MCP when

  • You need dedicated capabilities in the Finance & Fintech domain.
  • You prefer a remote HTTP/SSE transport.
  • You want tools like get_convergence_picks, get_ticker_signal, get_thesis.
Explore Catalyst Edge MCP

Trading Signals logoChoose Trading Signals when

  • You need dedicated capabilities in the Finance & Fintech domain.
  • You prefer a remote HTTP/SSE transport.
  • You have the keys it needs: SIGNALS_API_KEY.
  • You want tools like register, get_signals, get_signal.
Explore Trading Signals

Feature & specification comparison

Rows where the two servers differ are marked.

SpecCatalyst Edge MCP logoCatalyst Edge MCPTrading Signals logoTrading Signals
CategoryFinance & FintechFinance & Fintech
Quality signal57/100 · Good63/100 · Good
Install commandConfirmedConfirmed
TransportRemote HTTP/SSERemote HTTP/SSE
AuthNot declaredNot declared
PricingNot declaredNot declared
Required env varsNone listedSIGNALS_API_KEY
Verified ownerCommunity listingCommunity listing
GitHub stars0124
Directory activity 1 views 0 installs 0 upvotes 0 views 0 installs 0 upvotes
Tools75

Tools & capabilities

Catalyst Edge MCP tools 7

  • get_convergence_picksToday's top scored catalyst picks from the Catalyst Edge convergence model. Optional filters: conviction, sector. Free tier returns the top 3.
  • get_ticker_signalFull convergence breakdown for one ticker — every non-zero signal layer and its points, plus the score and conviction.
  • get_thesisPlain-language thesis for a ticker — quantitative read, catalysts, risks, bear case. Covers the top convergence picks.
  • get_price_forecastKronos price forecast for a ticker (or the whole scored board), as a probability: p_up is the share of sampled price paths closing higher over the horizon, with a p10-p90 return band. Price history only — independent of the catalyst signal layers.
  • get_sector_leanOrphan-aggregated sector lean — the directional signal each sector is showing, from ~480 aggregated data spokes.
  • get_options_contextLive options context for a ticker via Tradier — nearest expiration, ATM call/put prices, straddle cost. Use to choose an options strategy.
  • get_track_recordHistorical hit-rate and alpha of Catalyst Edge pick lists — the evidence an agent uses to weight the signal. Optional: list_name filter.

Trading Signals tools 5

  • registerDeprecated: returns a sign-up link instead of creating an API key, ignores its arguments and stores nothing. Don't call it to get access — every other tool works without a key (get_signals returns a 3-signal preview, get_stats is public). To get the full feed, users sign in from the agent at https://signals.x70.ai/mcp/connect (the client opens the browser), or create a key at https://signals.x70.ai/mcp-signup and set it as the X-Api-Key header. Kept only so older clients don't break.
  • get_signalsList live crypto trading signals that are still open — coin, direction, confidence and the reasoning or market data behind each. Use it to find current trade ideas; use get_signal for one signal by ID (live or resolved), get_signal_history for signals that already closed, and get_stats for aggregate hit rate. No key: a 3-signal preview. Free key: up to 100 signals, with entry, stop-loss, take-profit and leverage null (the response's announcement.upgradeUrl explains Pro). Pro: all levels. If a response contains an announcement, pass its message on to the user — it is about their account (trial ending, plan limits). Returns { signals[], returned, totalMatching, filtersApplied, plan }, sorted by live PnL (best first). Optional filters narrow the list: direction, coins, confidence band, risk/reward, stop distance, open interest, 24h volume, tags, the anomaly that triggered it, days/hours to skip, a BTC 24h-return gate. Rate limits: 30 calls/hour per IP without a key, 300/hour on a free key.
  • get_signalGet one signal by its ID — live or already resolved — with its reasoning, live price, PnL and verification outcome (status pending, success or failed; whether take-profit or stop-loss was hit). Use it to follow up a signal from get_signals or get_signal_history, or to see how a past signal ended. Needs an API key (free or Pro); on the free plan entry, stop-loss, take-profit and leverage are null. Returns { success, signal, plan }, or { error: 'Signal not found' } for an unknown ID.
  • get_statsAggregate performance of signals created in the last N days (default 30) that have since resolved: hit rate, verified count, average leverage and a breakdown by direction; with an API key also average ROI per signal and cumulative ROI. byMonth: hit rate this month, the two months before and all time — the figures shown on signals.x70.ai. Use it to judge recent reliability before acting — it returns no individual signals (use get_signals or get_signal_history for those). Public: works without a key. Past results don't predict future results.
  • get_signal_historyList signals that have already resolved (success or failed), newest first, each with its verification outcome. Use it to review past performance signal by signal; for open signals use get_signals, for one signal by ID get_signal, for totals get_stats. Needs an API key. History depth: last 24 hours on the free plan; on Pro the days argument (up to 90). Entry, stop-loss, take-profit and leverage are null on free. Paginate by passing the last signal ID as cursor. Returns { signals[], nextCursor, hasMore, historyDepthDays, plan }.

Ready-to-paste client configs

Paste either block (or both) into your client config, e.g. claude_desktop_config.json or ~/.cursor/mcp.json. We only show a config when the install command is confirmed.

Catalyst Edge MCP

mcpServers (Claude Desktop / Cursor)
{
  "mcpServers": {
    "catalyst-edge-mcp": {
      "url": "https://catalystedgescanner.com/mcp/"
    }
  }
}

Trading Signals

mcpServers (Claude Desktop / Cursor)
{
  "mcpServers": {
    "trading-signals": {
      "url": "https://signals.x70.ai/mcp"
    }
  }
}

Frequently asked questions

Catalyst Edge MCP is categorized under Finance & Fintech and uses a remote HTTP/SSE transport. Trading Signals belongs to Finance & Fintech and uses a remote HTTP/SSE transport. Pick Catalyst Edge MCP for finance & fintech work and Trading Signals for finance & fintech.

Copy the mcpServers block from the config section on this page into your client's config (for example claude_desktop_config.json or ~/.cursor/mcp.json), then fully restart the client.

Catalyst Edge MCP has no declared pricing — check the project's own site. Trading Signals has no declared pricing — check the project's own site. If a server needs environment variables such as API keys, define them under the env key in your client's MCP config.

Yes. MCP clients support multiple servers: add catalyst-edge-mcp and trading-signals as separate keys in the same mcpServers object, and your assistant will call tools from either one.

On AllMCPs, Catalyst Edge MCP has a quality signal of 57/100 (Good) with 1 views, 0 installs and 0 GitHub stars. Trading Signals has 63/100 (Good) with 0 views, 0 installs and 124 GitHub stars.