Robinhood Portfolio Research

Read-only MCP server for Robinhood portfolio research

MCP Servers Python Grade C Listed MIT
61.8/100
Rank #303 of 1283
Compare Robinhood Portfolio Research

Promising trust profile, but some evidence still deserves review.

Open compare tool Suggest correction
Listing state
Listed
Evidence coverage
Grade B · 3/5 signals
Last push
2026-07-29 · 14d ago
Recent change
Rank +1

Is Robinhood Portfolio Research safe? Robinhood Portfolio Research scores 61.8/100 (Grade C), ranked #303 of 1283 tracked open-source AI agent projects, on evidence coverage B (3 of 5 independent signal types). The public evidence: its packages ship with cryptographic provenance; no OSSF Scorecard result yet; 86% of recent commits are signed; last pushed 2026-07-29. Every point is earned from checkable signals — never paid placement. How scoring works →

Ranked neighbours in MCP Servers

Quick Trust Read

What Would Improve It
Add or improve OSSF Scorecard coverage so safety checks are easier to verify.
Recent Changes
2026-08-10
Rank Moved
Rank dropped 22 spots (#278 → #300)
2026-08-08
Newly Listed
First tracked at rank #274
Maintainer Checklist
Add Scorecard coverage Expose the repository to OpenSSF Scorecard checks so supply-chain posture is easier to verify.
37.1
Activity sub-score · out of 100
#102

How to read this: HVTrust (0–100) weighs supply-chain signals (provenance, OSSF Scorecard, signed commits, open license) alongside real-world adoption. Grade C reflects the trust score band: A ≥ 80, B ≥ 65, C ≥ 50, D < 50. Evidence coverage B is separate — it grades how many independent signal types back the score (3 of 5), so a high score on thin evidence stays visible. Full methodology →

Signals refreshed 2026-08-12 05:02 UTC · Repo last pushed 14 days ago

Rank Trend

2026-08-11 2026-08-12

Activity & Reach

Stars
38
Forks
8
Last Push
2026-07-29
14 days ago
Commits (4 wk)
0
Downloads (7d)
89
pypi
HN mentions (30d)
Open Issues
2
Rank Change
▲1
was #304

Analysis

HVTrust Dimensions vs MCP Servers

61.8 / 100 · 100.0% confidence

Robinhood Portfolio Research MCP Servers average (761 agents)

Safety / Integrity50% OSSF Scorecard · 30% provenance · 20% signed commits
11.8 / 25
6.8 above avg 5.0
Identity / Provenance60% listing status · 40% build provenance
18.0 / 18
4.7 above avg 13.3
Transparency50% declared license · 50% OSSF Scorecard
8.5 / 17
in line with avg 8.8
Maintenance60% last-push freshness · 40% commit activity
11.1 / 20
1.3 below avg 12.4
AdoptionLog-scaled stars · package downloads
6.4 / 20
0.6 above avg 5.8

Activity Inputs

37.1 / 100
StarsRepository reach
9.5 / 30
FreshnessLast push recency
23.1 / 25
ActivityRecent commits
0.0 / 25
CommunityFork signal
4.4 / 20

Supply Chain Trust

Package Provenance
Verified
pypi attestation
OSSF Scorecard
Not available
Signed Commits
86%
of last 100 commits verified

Is Robinhood Portfolio Research safe?

Robinhood Portfolio Research has a mixed signal profile. Some trust indicators are present, others are missing. Whether it is safe for your use case depends on which gaps matter to you — review the breakdown below before adopting in production.
Does Robinhood Portfolio Research publish package provenance?
Yes. Robinhood Portfolio Research's package releases carry build provenance attestations, which cryptographically link the published package back to its source repository and CI workflow.
Does Robinhood Portfolio Research have an OpenSSF Scorecard?
No OpenSSF Scorecard data is currently published for Robinhood Portfolio Research. Maintainers can enable the Scorecard GitHub Action to get a public score; without it, automated supply-chain hygiene is harder for outsiders to verify.
Is Robinhood Portfolio Research actively maintained?
Maintained. Last push was 14 days ago.
What license does Robinhood Portfolio Research use?
Robinhood Portfolio Research ships under MIT. A declared, OSI-approved license is one of the transparency signals HVTrust scores.
Are Robinhood Portfolio Research's commits signed?
85% of the last 100 commits to Robinhood Portfolio Research are verified-signed (GPG, SSH, S/MIME, or GitHub's signing flow). Signed commits help confirm that code was authored by who the commit claims.

Not a safety endorsement. HVTracker describes what public signals show, not whether a project is safe for your use case. Run your own security review before adopting in production.

AI agent surface

MCP, providers, tool surface
Scored in HVTrust

These runtime-trust fields — detected from public repo docs and manifests — contribute a bounded adjustment to this project's HVTrust score alongside supply-chain evidence. The exact values each field can add or subtract are documented in the methodology → Compare this surface across every listed agent in the capability matrix →

MCP Server Support
high confidence
Implemented
Robinhood Portfolio Research appears to expose MCP server capabilities.
Detailed evidence is not shown in the public view.
External Service Dependencies
None detected
No clear third-party provider dependency detected.
Credential signal: No explicit API-key/config marker detected.
Tool / Plugin Surface
None detected
No clear plugin system or broad tool surface detected.
Detailed evidence is not shown in the public view.
Package Provenance Drift
high confidence
Match
Published package metadata matches the tracked repo
Detailed evidence is not shown in the public view.
  • MCP signal live
  • External deps live
  • Tool / plugin surface live
  • Package provenance drift live

Maintain Robinhood Portfolio Research?

For maintainers

HVTrust scores Robinhood Portfolio Research from public signals only — we never contact maintainers first. If a signal is wrong, stale, or missing (provenance you publish, a Scorecard you run, signed releases), tell us and we'll review it. Corrections are public and tracked on GitHub.

Reputation Timeline

Signal history
Listed 1Rank 1
2026-08-10
Rank Moved
Rank dropped 22 spots (#278 → #300)
2026-08-08
Newly Listed
First tracked at rank #274

Embed Badge Badge guide for maintainers →

For maintainers
HVTrust 61.8 Grade C
Markdown:
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Other agents in MCP Servers

Data sources
GitHub REST API (repo, commits, stars, forks, license) · PyPI / pypistats (downloads, provenance)
Each agent's signals refresh once daily across 6 staggered batches. Methodology v4.3 · Raw JSON