Catalyst Edge Research

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Source-linked market intelligence for AI agents researching public-company tickers.

Install

Add this to your client's MCP configuration (Claude Desktop: claude_desktop_config.json; Cursor: .cursor/mcp.json; VS Code and others use the same "mcpServers" shape).

PYPI package catalyst-edge-mcp
Claude Code
claude mcp add catalyst-edge-research -e 'CATALYST_EDGE_SEC_USER_AGENT=<CATALYST_EDGE_SEC_USER_AGENT>' -e 'CATALYST_EDGE_EVIDENCE_STORE=<CATALYST_EDGE_EVIDENCE_STORE>' -e 'CATALYST_EDGE_GDELT=<CATALYST_EDGE_GDELT>' -e 'CATALYST_EDGE_BLUESKY=<CATALYST_EDGE_BLUESKY>' -- uvx catalyst-edge-mcp==0.1.8
JSON configuration (Claude Desktop, Cursor, VS Code)
{
    "mcpServers": {
        "catalyst-edge-research": {
            "command": "uvx",
            "args": [
                "catalyst-edge-mcp==0.1.8"
            ],
            "env": {
                "CATALYST_EDGE_SEC_USER_AGENT": "<CATALYST_EDGE_SEC_USER_AGENT>",
                "CATALYST_EDGE_EVIDENCE_STORE": "<CATALYST_EDGE_EVIDENCE_STORE>",
                "CATALYST_EDGE_GDELT": "<CATALYST_EDGE_GDELT>",
                "CATALYST_EDGE_BLUESKY": "<CATALYST_EDGE_BLUESKY>"
            }
        }
    }
}

Environment variables

  • CATALYST_EDGE_SEC_USER_AGENT required Required SEC-compliant identity in Company email@example.com form for live evidence collection.
  • CATALYST_EDGE_EVIDENCE_STORE Optional local SQLite evidence-store path.
  • CATALYST_EDGE_GDELT Rights-cleared attributed discovery metadata defaults to enabled; set to disabled to opt out.
  • CATALYST_EDGE_BLUESKY Optional explicit opt-in: set to enabled for forward-only partial public attention; defaults to disabled.

Documentation

From the project's README on GitHub, refreshed weekly. Links open on GitHub.

Contents
  1. CATALYST/EDGE
  2. Install
  3. Use
  4. What it uses
  5. How to read a result
  6. Privacy
  7. Build from source
  8. License

CATALYST/EDGE

Source-linked market intelligence for AI agents.

Catalyst Edge is a local, read-only Model Context Protocol server for public-company research. Ask an agent what changed for a ticker, why it matters, what contradicts it, and which sources support the answer.

It combines direct SEC filings and ownership records with optional, policy-gated sources into a compact evidence dossier. Every result preserves its source links and missing-data warnings.

Local first. Evidence and configuration stay on your machine. Research only. The deterministic scorer is untrained and unbacktested; Catalyst Edge does not provide investment advice, trading signals, or execution.


Install

Catalyst Edge requires Python 3.10+ and uv. The SEC requires an identifiable User-Agent; use your organization and a monitored email address.

Codex
codex mcp add catalyst-edge \
  --env 'CATALYST_EDGE_SEC_USER_AGENT=YOUR_ORGANIZATION YOUR_EMAIL' \
  --env 'CATALYST_EDGE_EVIDENCE_STORE=/absolute/local/path/evidence.sqlite3' \
  -- uvx --from 'catalyst-edge-mcp==0.1.8' catalyst-edge-mcp

Start a fresh task and verify that Codex discovers these two tools:

ToolUse
catalyst_edge_scoreReturn a compact catalyst-evidence dossier for a ticker.
catalyst_edge_claim_sourcesPage through the immutable source records behind a claim.
Claude Desktop

Download catalyst-edge-mcp-0.1.8.mcpb, then choose Settings → Extensions → Advanced settings → Install Extension…. Enter the same SEC identity when prompted. The extension is an unsigned custom bundle; review the source and published checksum before accepting Claude Desktop's warning.


Use

Ask your agent a focused research question, for example:

What changed for NVDA in the last 14 days? Include sources, missing evidence, and anything that would weaken the conclusion.

The primary tool accepts a ticker, a 1–90 day lookback, source inclusion, and a research context:

{
  "ticker": "NVDA",
  "lookback_days": 14,
  "include_sources": true,
  "include_raw_signals": false,
  "risk_mode": "research"
}

risk_mode also supports alert_triage and thesis_review. Ticker validation runs before any provider is composed; invalid inputs fail clearly rather than producing a partial score.

From a terminal
# Run the local stdio MCP server
uvx --from 'catalyst-edge-mcp==0.1.8' catalyst-edge-mcp

# Get a dossier directly
uvx --from 'catalyst-edge-mcp==0.1.8' catalyst-edge-score NVDA --lookback-days 14

What it uses

EvidenceDefaultNotes
SEC filings and ownership recordsEnabled with CATALYST_EDGE_SEC_USER_AGENTPrimary regulatory evidence.
GDELT Web NGrams discoveryEnabledAttributed, cache-only discovery metadata; set CATALYST_EDGE_GDELT=disabled to opt out.
Issuer RSS/Atom feedsDisabledEnable explicitly with CATALYST_EDGE_ISSUER_FEEDS=enabled.
Bluesky public attentionDisabledEnable explicitly with CATALYST_EDGE_BLUESKY=enabled; it is incomplete, neutral-only context.
Options, technicals, and sentimentDisabledNot composed without an approved, rights-cleared provider.

The default evidence store is local SQLite at ~/.local/state/catalyst-edge-mcp/evidence.sqlite3. Set CATALYST_EDGE_EVIDENCE_STORE to choose another local path.

Check local readiness
CATALYST_EDGE_SEC_USER_AGENT='YOUR_ORGANIZATION YOUR_EMAIL' \
uvx --from 'catalyst-edge-mcp==0.1.8' catalyst-edge-smoke NVDA --lookback-days 14

The smoke check reports sanitized configuration, provenance, coverage, and readiness status. It never prints credentials or provider payloads.


How to read a result

Each dossier includes a deterministic score, direction, confidence, source-linked evidence, missing or stale families, and next checks. research.disposition tells an agent whether to review the evidence now, monitor it, or report insufficient evidence; it prioritizes research only and is not a trade signal. model_status is always not_trained in this release. A neutral or no-data result is a valid answer: missing evidence is uncertainty, not bearish evidence.

Evidence is compact by design. Use catalyst_edge_claim_sources with a claim ID to retrieve its paginated source records, including canonical URLs, timestamps, hashes, parsers, and policy decisions.

{
  "ticker": "NVDA",
  "edge": {"score": 62, "direction": "bullish", "confidence": 0.69, "scoring_method": "deterministic_v1", "model_status": "not_trained"},
  "research": {"disposition": "review_now", "primary_claim_id": "clm_aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", "supporting_claim_ids": [], "contradicting_claim_ids": [], "blocking_gaps": [], "next_action": "Open SEC accession 0001045810-26-000001 and review the filed item text and exhibits."},
  "data_quality": {"coverage": "partial", "missing_families": [], "warnings": ["Deterministic v1 scoring is not backtested."]}
}
{
  "ticker": "NVDA",
  "edge": {"score": 50, "direction": "neutral", "confidence": 0, "scoring_method": "deterministic_v1", "model_status": "not_trained"},
  "research": {"disposition": "monitor", "primary_claim_id": null, "supporting_claim_ids": [], "contradicting_claim_ids": [], "blocking_gaps": ["options_flow"], "next_action": "Check whether a sector-wide event explains the observation."},
  "data_quality": {"coverage": "none", "missing_families": ["options_flow"], "warnings": ["options_flow provider yfinance is private diagnostic only; no production evidence or coverage credit was granted."]}
}
{
  "ticker": "NVDA",
  "edge": {"score": 50, "direction": "neutral", "confidence": 0, "scoring_method": "deterministic_v1", "model_status": "not_trained"},
  "research": {"disposition": "insufficient_evidence", "primary_claim_id": null, "supporting_claim_ids": [], "contradicting_claim_ids": [], "blocking_gaps": ["filings_news", "insider_trading", "options_flow", "social", "technical"], "next_action": "Retry with lookback_days=30 to check a wider filing window."},
  "data_quality": {"coverage": "none", "missing_families": ["filings_news", "insider_trading", "options_flow", "social", "technical"], "warnings": ["No live evidence adapters are configured."]}
}

Privacy

Results and SQLite evidence remain on your machine. Ticker and issuer queries may be sent directly to whichever public-source providers you enable. The SEC identity is sent only to sec.gov as its required request User-Agent.

Read the Catalyst Edge Privacy Policy.


Build from source

uv sync --frozen --extra dev
uv run --frozen pytest
uv run --frozen ruff check .
uv build --no-sources --out-dir dist

Default tests are offline and use sanitized fixtures. The release workflow tests Python 3.10 and 3.14, MCP contracts, a clean build, and the packaged artifact.

License

MIT

Frequently asked questions

What is Catalyst Edge Research?

Source-linked market intelligence for AI agents researching public-company tickers.

How do I install Catalyst Edge Research?

It runs on your machine. In Claude Code: claude mcp add catalyst-edge-research -e 'CATALYST_EDGE_SEC_USER_AGENT=<CATALYST_EDGE_SEC_USER_AGENT>' -e 'CATALYST_EDGE_EVIDENCE_STORE=<CATALYST_EDGE_EVIDENCE_STORE>' -e 'CATALYST_EDGE_GDELT=<CATALYST_EDGE_GDELT>' -e 'CATALYST_EDGE_BLUESKY=<CATALYST_EDGE_BLUESKY>' -- uvx catalyst-edge-mcp==0.1.8. For other clients, paste the JSON configuration from this page into their MCP settings.

Does Catalyst Edge Research need an API key?

Yes. It expects CATALYST_EDGE_SEC_USER_AGENT, which you set in its configuration.

Is Catalyst Edge Research open source?

Yes. Its code is on GitHub under the MIT license.

Who maintains Catalyst Edge Research?

It is published by rm0nroe. AI.tn lists it but does not maintain or endorse it.

From the official MCP Registry. Listing is not an endorsement: review a server's code and permissions before giving it access to your data.