Is Reddit Research MCP safe to use?

Reddit Research MCP has an HVTrust score of 54.5/100 (Grade C), ranked #800 of 1325 tracked AI agent projects. This score reflects verifiable supply-chain integrity, transparency, maintenance, and adoption signals.

What is the trust score for Reddit Research MCP?

Reddit Research MCP scores 54.5/100 on HVTracker's evidence-weighted HVTrust scale. It has 250 GitHub stars and is categorized under MCP Servers.

Reddit Research MCP

king-of-the-grackles/reddit-research-mcp

Turn Reddit's chaos into structured insights with full citations. MCP server for competitive analysis, customer discovery, and market research. Zero-setup hosted solution with semantic search across 20,000+ subreddits.

MCP Servers Python Listed MIT

Is Reddit Research MCP safe? Thin or incomplete trust evidence. Review carefully before production use.

OSSF Scorecard 4.5 / 10

Provenance None

Signed commits 10%

Last push 18d ago

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In detail: Reddit Research MCP scores 54.5/100 (Grade C), ranked #800 of 1325 tracked open-source AI agent projects, on evidence coverage B (3 of 5 independent signal types). The public evidence: no package-provenance attestation found; OSSF Scorecard rates its supply-chain practices 4.5/10; 10% of recent commits are signed; last pushed 2026-09-08. Every point is earned from checkable signals — never paid placement. How scoring works →

How Reddit Research MCP compares in MCP Servers

#443 Happy Platform MCP 54.6 +0.1
#444 Ris MCP Ts 54.6 +0.1
#445 Reddit Research MCP 54.5 this agent
#446 Tradingview MCP 54.5 ±0
#447 Mistral MCP 54.5 ±0

Bars show each HVTrust score; the tick marks Reddit Research MCP’s 54.5.

Where the 54.5 comes from

HVTrust dimensions vs the MCP Servers average

54.5 / 100 · 100.0% confidence

Reddit Research MCP MCP Servers average (775 agents)

Safety / Integrity50% OSSF Scorecard · 30% provenance · 20% signed commits

6.1 / 25

4.2 below avg 10.3

Identity / Provenance60% listing status · 40% build provenance

10.8 / 18

2.6 below avg 13.4

Transparency50% declared license · 50% OSSF Scorecard

12.3 / 17

in line with avg 12.2

Maintenance60% last-push freshness · 40% commit activity

12.7 / 20

0.6 above avg 12.1

AdoptionLog-scaled stars · package downloads

7.6 / 20

in line with avg 7.2

Quick Trust Read

What Would Improve It

Publish package provenance or release attestations for stronger supply-chain evidence.

Recent Changes

2026-09-23

Provider Added

Runtime surface grew — new detected provider dependency: OpenAI

2026-09-23

Mcp Status Changed

Detected MCP server support changed: none → implemented

2026-09-23

Grade Changed

Trust grade D → C

Maintainer Checklist

Raise Scorecard signals Current OSSF Scorecard is 4.5/10. Tighten the weakest checks to improve public safety evidence.

Publish provenance Add package provenance or release attestations so users can verify where shipped artifacts came from.

Increase signed commits Raise the share of verified-signed commits to make maintainer identity and release history easier to trust.

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49.9

Activity sub-score · out of 100

#445

In MCP Servers

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 →

Rank Trend

2026-08-11 2026-09-26

Activity & Reach

Stars

250

Forks

Last Push

2026-09-08

18 days ago

Commits (4 wk)

Downloads (7d)

pypi

HN mentions (30d)

—

Open Issues

Rank Change

▲3

was #803

Analysis

Activity Inputs

49.9 / 100

StarsRepository reach

14.4 / 30

FreshnessLast push recency

22.5 / 25

ActivityRecent commits

6.0 / 25

CommunityFork signal

6.9 / 20

Supply Chain Trust

Package Provenance

None

No package attestations found

OSSF Scorecard

4.5 / 10

OpenSSF Scorecard · scanned Sep 21, 2026

Signed Commits

10%

of last 100 commits verified

Binary-Artifacts 10

Branch-Protection 0

CI-Tests 4

CII-Best-Practices 0

Code-Review 0

Contributors 3

Dangerous-Workflow 10

Dependency-Update-Tool 0

Fuzzing 0

License 10

Maintained 8

Packaging -1

Pinned-Dependencies 0

SAST 0

Security-Policy 0

Signed-Releases -1

Token-Permissions 9

Vulnerabilities 10

Common questions about Reddit Research MCP

Public trust evidence for Reddit Research MCP is thin: several supply-chain signals are missing or weak. This does not mean the project is unsafe — it means an outside observer cannot easily verify the usual integrity checks. Treat with extra scrutiny.

Does Reddit Research MCP publish package provenance?

No published build provenance is currently detected for Reddit Research MCP. This is common for open-source projects but means consumers cannot independently verify that the package on the registry matches the GitHub source.

Does Reddit Research MCP have an OpenSSF Scorecard?

Reddit Research MCP has an OpenSSF Scorecard score of 4.5/10. The Scorecard checks for branch protection, signed releases, dependency updates, fuzzing, code review, and other supply-chain hygiene items. See the full check breakdown on this page.

Is Reddit Research MCP actively maintained?

Maintained. Last push was 18 days ago.

What license does Reddit Research MCP use?

Reddit Research MCP ships under MIT. A declared, OSI-approved license is one of the transparency signals HVTrust scores.

Are Reddit Research MCP's commits signed?

10% of the last 100 commits to Reddit Research MCP 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

Reddit Research MCP appears to expose MCP server capabilities.

Detailed evidence is not shown in the public view.

External Service Dependencies

high confidence

1 detected

Public provider/service dependencies detected.

OpenAI

Credential signal: API keys or service config markers documented.

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

How this surface has changed

Detected changes to Reddit Research MCP's runtime surface and supply-chain posture, from daily public-signal snapshots. A change here means our detectors see something different — a genuinely changed capability, or better evidence of an existing one.

2026-09-23

Provider Added

Runtime surface grew — new detected provider dependency: OpenAI

2026-09-23

Mcp Status Changed

Detected MCP server support changed: none → implemented

Maintain Reddit Research MCP?

For maintainers

HVTrust scores Reddit Research MCP 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.

Submit a correction → Add the trust badge

Reputation Timeline

Signal history

2026-09-23

Provider Added

Runtime surface grew — new detected provider dependency: OpenAI

2026-09-23

Mcp Status Changed

Detected MCP server support changed: none → implemented

2026-09-23

Grade Changed

Trust grade D → C

2026-09-23

Rank Moved

Rank rose 156 spots (#948 → #792)

2026-09-23

HVTrust Changed

HVTrust up 28.8pts (25.9 → 54.7)

2026-09-22

Newly Listed

First tracked at rank #948

2026-09-21

Removed From Active Tracking

Removed from active tracking

2026-09-17

Rank Moved

Rank rose 38 spots (#820 → #782)

2026-09-13

Rank Moved

Rank dropped 38 spots (#773 → #811)

2026-09-13

Activity Score Changed

Activity score down 6pts (58 → 52)

2026-09-11

Rank Moved

Rank dropped 10 spots (#756 → #766)

2026-09-10

Rank Moved

Rank dropped 22 spots (#734 → #756)

2026-09-09

Rank Moved

Rank dropped 15 spots (#719 → #734)

2026-09-08

Rank Moved

Rank rose 15 spots (#734 → #719)

2026-09-07

Rank Moved

Rank dropped 40 spots (#694 → #734)

2026-09-06

Rank Moved

Rank dropped 13 spots (#681 → #694)

2026-09-05

Rank Moved

Rank dropped 79 spots (#602 → #681)

2026-09-04

Rank Moved

Rank dropped 20 spots (#582 → #602)

2026-09-03

Rank Moved

Rank dropped 34 spots (#548 → #582)

2026-09-02

Rank Moved

Rank dropped 20 spots (#528 → #548)

2026-09-01

Scorecard Added

OSSF Scorecard: 4.3/10

2026-09-01

Grade Changed

Trust grade D → C

2026-09-01

Rank Moved

Rank rose 520 spots (#1048 → #528)

2026-09-01

HVTrust Changed

HVTrust up 23.0pts (32.7 → 55.7)

2026-08-31

Rank Moved

Rank dropped 33 spots (#1015 → #1048)

2026-08-30

Rank Moved

Rank dropped 55 spots (#960 → #1015)

2026-08-29

Rank Moved

Rank dropped 46 spots (#914 → #960)

2026-08-28

Rank Moved

Rank dropped 34 spots (#880 → #914)

2026-08-27

Rank Moved

Rank dropped 28 spots (#852 → #880)

2026-08-26

Rank Moved

Rank dropped 107 spots (#745 → #852)

2026-08-16

Rank Moved

Rank dropped 15 spots (#721 → #736)

2026-08-14

Rank Moved

Rank rose 29 spots (#751 → #722)

2026-08-14

Activity Score Changed

Activity score up 10pts (47 → 57)

2026-08-10

Rank Moved

Rank dropped 39 spots (#713 → #752)

2026-08-08

Newly Listed

First tracked at rank #710

GitHub → PyPI: reddit-research-mcp

Embed Badge Badge guide for maintainers →

For maintainers

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Other agents in MCP Servers

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