updated 2026-08-12 05:02 UTC

Chart Library — Pattern Intelligence

grahammccain/chart-library-mcp

MCP server for Chart Library — visual chart pattern search engine. Find similar historical stock charts and see what hap

MCP Servers Python Grade D Listed MIT
26.7/100
Rank #800 of 1283
Compare Chart Library — Pattern Intelligence

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Thin or incomplete trust evidence. Review carefully before production use.

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Listing state
Listed
Evidence coverage
Grade C · 2/5 signals
Last push
2026-06-10 · 63d ago
Recent change
Rank +1

Is Chart Library — Pattern Intelligence safe? Chart Library — Pattern Intelligence scores 26.7/100 (Grade D), ranked #800 of 1283 tracked open-source AI agent projects, on evidence coverage C (2 of 5 independent signal types). The public evidence: no package-provenance attestation found; no OSSF Scorecard result yet; recent commits are unsigned; last pushed 2026-06-10. Every point is earned from checkable signals — never paid placement. How scoring works →

Ranked neighbours in MCP Servers

#384 Azure DevOps (ADO) — 27.1 (D) → #385 Kylas CRM — 27.0 (D) → #387 Anki MCP — 26.4 (D) → #388 Nouz — 26.1 (D) →

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 45 spots (#755 → #800)
2026-08-08
Newly Listed
First tracked at rank #751
Maintainer Checklist
Add Scorecard coverage Expose the repository to OpenSSF Scorecard checks so supply-chain posture is easier to verify.
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.
Refresh maintenance signals The repo was last pushed 63 days ago. Fresh activity helps separate stable projects from stale ones.
Compare with another agent Get email alerts for Chart Library — Pattern Intelligence View MCP Servers Report missing data
25.5
Activity sub-score · out of 100
#386
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 D reflects the trust score band: A ≥ 80, B ≥ 65, C ≥ 50, D < 50. Evidence coverage C is separate — it grades how many independent signal types back the score (2 of 5), so a high score on thin evidence stays visible. Full methodology →

Signals refreshed 2026-08-12 05:02 UTC · Repo last pushed 63 days ago

Rank Trend

2026-08-11 2026-08-12

Activity & Reach

Stars
20
Forks
1
Last Push
2026-06-10
63 days ago
Commits (4 wk)
0
Downloads (7d)
45
pypi
HN mentions (30d)
—
Open Issues
0
Rank Change
=
was #800

Analysis

HVTrust Dimensions vs MCP Servers

26.7 / 100 · 67.0% confidence

Chart Library — Pattern Intelligence MCP Servers average (761 agents)

Safety / Integrity50% OSSF Scorecard · 30% provenance · 20% signed commits
0 / 25
5.0 below avg 5.0
Identity / Provenance60% listing status · 40% build provenance
10.8 / 18
2.5 below 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
7.8 / 20
4.6 below avg 12.4
AdoptionLog-scaled stars · package downloads
5.4 / 20
in line with avg 5.8

Activity Inputs

25.5 / 100
StarsRepository reach
7.9 / 30
FreshnessLast push recency
16.2 / 25
ActivityRecent commits
0.0 / 25
CommunityFork signal
1.4 / 20

Supply Chain Trust

Package Provenance
None
No package attestations found
OSSF Scorecard
—
Not available
Signed Commits
0%
of last 100 commits verified

Is Chart Library — Pattern Intelligence safe?

Public trust evidence for Chart Library — Pattern Intelligence 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 Chart Library — Pattern Intelligence publish package provenance?
No published build provenance is currently detected for Chart Library — Pattern Intelligence. This is common for open-source projects but means consumers cannot independently verify that the package on the registry matches the GitHub source.
Does Chart Library — Pattern Intelligence have an OpenSSF Scorecard?
No OpenSSF Scorecard data is currently published for Chart Library — Pattern Intelligence. 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 Chart Library — Pattern Intelligence actively maintained?
Slowing down. Last push was 63 days ago — keep an eye on whether activity resumes.
What license does Chart Library — Pattern Intelligence use?
Chart Library — Pattern Intelligence ships under MIT. A declared, OSI-approved license is one of the transparency signals HVTrust scores.
Are Chart Library — Pattern Intelligence's commits signed?
0% of the last 100 commits to Chart Library — Pattern Intelligence 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
Chart Library — Pattern Intelligence appears to expose MCP server capabilities.
Detailed evidence is not shown in the public view.
External Service Dependencies
low confidence
None detected
No clear third-party provider dependency detected.
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

Maintain Chart Library — Pattern Intelligence?

For maintainers

HVTrust scores Chart Library — Pattern Intelligence 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
Listed 1Rank 1
2026-08-10
Rank Moved
Rank dropped 45 spots (#755 → #800)
2026-08-08
Newly Listed
First tracked at rank #751
GitHub → PyPI: chartlibrary-mcp

Embed Badge Badge guide for maintainers →

For maintainers
HVTrust 26.7 Grade D
Markdown:
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HTML:
<a href="https://hvtracker.net/agents/chart-library-pattern-intelligence"><img src="https://hvtracker.net/badge/chart-library-pattern-intelligence.svg" alt="HVTrust"></a>

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