Catalyst Edge Research
io.github.rm0nroePublished by GitHub account rm0nroev0.1.8Updated Oct 24, 2026
Source-linked market intelligence for AI agents researching public-company tickers.
The publisher's own server: Edge Network
Overview
A local, read-only MCP server that builds source-linked evidence dossiers on public-company tickers from SEC filings and optional public sources.
- What you can do
- Produce a compact catalyst-evidence dossier for a ticker, with a deterministic score, direction, confidence, coverage and missing-data warnings, over a 1–90 day lookback and a research, alert-triage or thesis-review mode. Page through the immutable source records behind a claim, including canonical URLs, timestamps, hashes, parsers and policy decisions. Combine SEC filings and ownership records with optional, opt-in sources such as GDELT discovery metadata, issuer feeds and Bluesky attention. Keep evidence and configuration in a local SQLite store on the user's machine.
- When to use it
- Useful when an assistant is asked what changed for a public-company ticker, why it matters, what contradicts it, and which sources support the answer, and the user wants citations and explicit gaps rather than a trade call.
- Requirements
- Runs locally over stdio as a PyPI package, needing Python 3.10+ and uv. The environment variable CATALYST_EDGE_SEC_USER_AGENT is required in organization plus monitored email form for live SEC evidence. Optional variables: CATALYST_EDGE_EVIDENCE_STORE for the local SQLite path, CATALYST_EDGE_GDELT to opt out of discovery metadata, and CATALYST_EDGE_BLUESKY to opt in. Network access to public sources is needed.
Installation
In SourceWeft
- Open Catalyst Edge Research in the dashboard and add it to a workspace.
- Enable the server for the chats that should use its tools.
Desktop only via STDIO. STDIO servers start a local process, so they need the SourceWeft desktop host.
Other MCP clients
Follow the launch instructions in the repository.
README
CATALYST/EDGE
[Abstract source-linked evidence ledger]
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
Start a fresh task and verify that Codex discovers these two tools:
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:
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
What it uses
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
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.
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
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
Source: README.md at commit c7dca9e
Tools
0Version history
1- v0.1.8LatestSep 16, 2026
Score
50% of the applicable checks met
How complete this listing is, computed from the registry entry, the endpoint and public sources. Not a rating of the server and not a statement that it is safe or working today: reachability is a dated check, and no installs or reviews go into the score.
- Reached in the last 30 days25 pts
Keep the endpoint answering the MCP handshake; SourceWeft probes it every 30 days.
- Auth declared10 pts
Declare the credential headers in the registry entry, or keep the endpoint answering the probe so its auth can be classified.
- Tools listed15 pts
Answer tools/list without a credential, or ship a package that starts in a sandbox without one.
- DescriptionRequired15 pts
- Logo10 pts
- Documentation15 pts
- License10 pts
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