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catalyst-edge-mcp

catalyst-edge-mcp

Remote
catalystedgescanner.comFinance0Updated 5w ago

About catalyst-edge-mcp

catalyst-edge-mcp provides ranked SEC filing signals for AI agents and market researchers. It includes a public record of past calls and outcomes, alongside tools for ticker, thesis, and sector analysis.

Key features

  1. 01Rank SEC filing catalyst picks
  2. 02Review historical signal outcomes
  3. 03Inspect per-ticker signal layers
  4. 04Read catalyst, risk, and bear-case theses
  5. 05Check directional sector lean

Use cases

  1. 01Review potential market catalysts before the open
  2. 02Check past picks and measured outcomes
  3. 03Investigate a ticker's signal breakdown
  4. 04Assess sector direction and thesis risks

MCP support

Exposes tools for ranked catalyst picks, track records, ticker signals, investment theses, and sector lean. A hosted server is available; the README also describes stdio and HTTP self-hosted modes.

Configuration

Remote servers need no local install. Pick your client, then copy the config or install in one click.

Endpointhttps://catalystedgescanner.com/mcp/
Copy install command
Claude CodeTerminal
Cursor.cursor/mcp.json
VS Code.vscode/mcp.json
Claude Desktopclaude_desktop_config.json
Windsurf~/.codeium/windsurf/mcp_config.json

Run commands in a terminal; paste JSON into the client’s MCP config and restart. Servers that need sign-in will prompt on first connect.

Tools

7
ParameterTypeRequiredDescription
limitintegerNomax picks (default 25; free tier capped at 3)
sectorstringNofilter by sector (substring match)
convictionenumNofilter by conviction levelMAXIMUM | HIGH | ELEVATED | WATCH

Details

From the project README

Catalyst Edge MCP Server

Publicly graded SEC catalyst intelligence for AI agents, over the Model Context Protocol. Every US-market SEC filing with market-moving potential is fetched from EDGAR, scored by 500+ data engines, and ranked before the market opens — and unlike most signal products, the track record is public: every past call is published with its outcome at catalystedgescanner.com/receipts.

Use the hosted server (no install)

A hosted instance is live. Point any MCP-capable client at it, or POST JSON-RPC directly:

curl -s https://catalystedgescanner.com/mcp/ \
  -H "Content-Type: application/json" \
  -d '{"jsonrpc":"2.0","id":1,"method":"tools/list"}'

Call a tool (no key needed for the free tier):

curl -s https://catalystedgescanner.com/mcp/ \
  -H "Content-Type: application/json" \
  -d '{"jsonrpc":"2.0","id":2,"method":"tools/call","params":{"name":"get_convergence_picks","arguments":{"limit":3}}}'

Paid tiers use a Bearer token: Authorization: Bearer <your-key>.

Tools

ToolTierReturns
get_convergence_picksfreetoday's scored catalyst picks (free: top 3)
get_track_recordfreehistorical hit-rate / alpha of published picks
get_ticker_signalintelligencefull per-ticker signal-layer breakdown
get_thesisintelligenceplain-language thesis (catalysts, risks, bear case)
get_sector_leanintelligencedirectional sector lean

free — evaluation tier, no key required. intelligence — all tools, full depth; keys via catalystedgescanner.com/pricing or [email protected].

Claude Desktop / Cursor config (stdio, self-hosted)

{
  "mcpServers": {
    "catalyst-edge": {
      "command": "python3",
      "args": ["/path/to/catalyst_mcp.py"],
      "env": { "CATALYST_MCP_KEY": "optional-key" }
    }
  }
}

Stdlib Python only — no dependencies. HTTP mode: CATALYST_MCP_HTTP=1 python3 catalyst_mcp.py (binds 127.0.0.1:8848; front with TLS for public use — see catalyst-mcp.service). Key→tier mapping lives in mcp_keys.json (see mcp_keys.json.example).

Verify

python3 smoke_test.py   # exit 0 = handshake + all tools OK

Data & disclaimers

Sources: SEC EDGAR (filings, XBRL, insider activity), US government open data, delayed market prices. Nothing here is financial advice; signals are research with a published, self-graded track record — hits and misses both, each measured against the next session's open. Machine-readable site map: catalystedgescanner.com/llms.txt · OpenAPI: /openapi.json.

MIT licensed.

Comments

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New to MCP?

From what the protocol is to installing your first server, these answers cover most first questions.

An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.