Home/Compare/tradingview-mcp vs awesome-ai-sdks

Comparison

tradingview-mcp vs awesome-ai-sdks

Verdict

Pick tradingview-mcp if tradingview-mcp is designed for developers and financial professionals seeking real-time market data and advanced technical analysis tools across multiple trading platforms including Claude, ChatGPT, Cursor among others; pick awesome-ai-sdks if awesome-ai-sdks offers an extensive directory of SDKs for AI agents, emphasizing its role in managing tools across different languages and ecosystems.

Markdown twin · tradingview-mcp alternatives · awesome-ai-sdks alternatives

GraphCanon updated 3d

tradingview-mcp logo

tradingview-mcp

atilaahmettaner/tradingview-mcp

3.7kpushed Jul 23, 2026
vs
awesome-ai-sdks logo

awesome-ai-sdks

e2b-dev/awesome-ai-sdks

1.2kpushed Jul 9, 2026

Trust & integrity

Signaltradingview-mcpawesome-ai-sdks
Maintenance
Very active (2d since push)
As of 4w · github_public_v1
Steady (42d since push)
As of 3d · github_public_v1
Provenance
Not a fork · Personal account
As of 4w · github_public_v1
Not a fork · Organization account
As of 3d · github_public_v1
OSV dependency advisories
No lockfile (source not queried)
As of 1mo · osv@v1
No lockfile (source not queried)
As of 1mo · osv@v1
deps.dev advisories
Not queried
deps.dev@v1
Not queried
deps.dev@v1
OpenSSF Scorecard
Not queried
openssf-scorecard@v1
Not queried
openssf-scorecard@v1

Tagline

tradingview-mcp
Real-time market data and technical analysis for financial markets
awesome-ai-sdks
A database of SDKs for AI agents creation and management

Stars

tradingview-mcp
3.7k
awesome-ai-sdks
1.2k

Forks

tradingview-mcp
798
awesome-ai-sdks
361

Open issues

tradingview-mcp
7
awesome-ai-sdks
241

Language

tradingview-mcp
Python
awesome-ai-sdks
-

Adopt for

tradingview-mcp
tradingview-mcp is designed for developers and financial professionals seeking real-time market data and advanced technical analysis tools across multiple trading platforms including Claude, ChatGPT, Cursor among others.
awesome-ai-sdks
awesome-ai-sdks offers an extensive directory of SDKs for AI agents, emphasizing its role in managing tools across different languages and ecosystems.

Persona

tradingview-mcp
-
awesome-ai-sdks
-

Runtime

tradingview-mcp
-
awesome-ai-sdks
-

License

tradingview-mcp
MIT
awesome-ai-sdks
-

Last pushed

tradingview-mcp
Jul 23, 2026
awesome-ai-sdks
Jul 9, 2026

Categories

tradingview-mcp
Developer Tools
awesome-ai-sdks
AI Agents, Developer Tools

Trust and health

Maintenance

tradingview-mcp
Very active (96%)
awesome-ai-sdks
Steady (60%)

Days since push

tradingview-mcp
2d
awesome-ai-sdks
42d

Open issues (now)

tradingview-mcp
7
awesome-ai-sdks
241

Stars delta

tradingview-mcp
Unknown
awesome-ai-sdks
+6 (30d)

Open issues delta

tradingview-mcp
Unknown
awesome-ai-sdks
+29 (30d)

Owner type

tradingview-mcp
User
awesome-ai-sdks
Organization

Full report

tradingview-mcp
Trust report
awesome-ai-sdks
Trust report

Shared compatibility

  • ChatGPT · tradingview-mcp: Works with ChatGPT · awesome-ai-sdks: Works with ChatGPT
  • Python · tradingview-mcp: Python runtime · awesome-ai-sdks: Python runtime

Choose tradingview-mcp if…

  • Pricing: The MIT license offers free use, but proprietary add-ons may apply costs depending on the services you opt into when extending beyond base capabilities..
  • Tags unique to tradingview-mcp: backtesting, crypto, forex, futures.
  • tradingview-mcp ships Docker support for self-hosted deployment.
  • When you need to access real-time market data from various asset classes like stocks, crypto, forex, and futures from global exchanges.

When NOT to use tradingview-mcp

  • Do not use if you are developing for a non-MCP compatible platform or if real-time data and complex technical analysis are not required.
  • Avoid using this tool if your project focuses specifically on financial advice platforms that do not require integration with multiple assets types in real time.

Choose awesome-ai-sdks if…

  • Tags unique to awesome-ai-sdks: agent, ai-agents, framework, langchain.
  • Also covers AI Agents.
  • When you are looking to compile and access various SDKs and libraries for AI agent development from one centralized resource.

When NOT to use awesome-ai-sdks

  • For projects requiring a real-time or regularly updated list since the repository acknowledges it's based on their best knowledge and might not be comprehensive.
  • If you specifically need production-ready tools. The repository contains links to alpha-stage projects like Chidori, which may not be suitable for immediate deployment.

Explore

Sources

Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.

GitHub stars on cards: tradingview-mcp 3.7k · awesome-ai-sdks 1.2k (synced Jul 26, 2026).

Common questions

What is the difference between tradingview-mcp and awesome-ai-sdks?
tradingview-mcp: Real-time market data and technical analysis for financial markets. awesome-ai-sdks: A database of SDKs for AI agents creation and management. See the comparison table for live GitHub stats and shared categories.
When should I choose tradingview-mcp over awesome-ai-sdks?
Choose tradingview-mcp over awesome-ai-sdks when Pricing: The MIT license offers free use, but proprietary add-ons may apply costs depending on the services you opt into when extending beyond base capabilities.; Tags unique to tradingview-mcp: backtesting, crypto, forex, futures; tradingview-mcp ships Docker support for self-hosted deployment; When you need to access real-time market data from various asset classes like stocks, crypto, forex, and futures from global exchanges.
When should I choose awesome-ai-sdks over tradingview-mcp?
Choose awesome-ai-sdks over tradingview-mcp when Tags unique to awesome-ai-sdks: agent, ai-agents, framework, langchain; Also covers AI Agents; When you are looking to compile and access various SDKs and libraries for AI agent development from one centralized resource.
When should I avoid tradingview-mcp?
Do not use if you are developing for a non-MCP compatible platform or if real-time data and complex technical analysis are not required. Avoid using this tool if your project focuses specifically on financial advice platforms that do not require integration with multiple assets types in real time.
When should I avoid awesome-ai-sdks?
For projects requiring a real-time or regularly updated list since the repository acknowledges it's based on their best knowledge and might not be comprehensive. If you specifically need production-ready tools. The repository contains links to alpha-stage projects like Chidori, which may not be suitable for immediate deployment.
Is tradingview-mcp or awesome-ai-sdks more popular on GitHub?
tradingview-mcp has more GitHub stars (3,679 vs 1,213). Stars measure visibility, not whether either tool fits your constraints.
Are tradingview-mcp and awesome-ai-sdks open source?
Yes - both are open-source projects on GitHub.
Where can I find alternatives to tradingview-mcp or awesome-ai-sdks?
GraphCanon lists graph-backed alternatives at tradingview-mcp alternatives and awesome-ai-sdks alternatives (tradingview-mcp markdown twin, awesome-ai-sdks markdown twin), ranked by typed relationship edges rather than popularity votes.
Is there a machine-readable version of this comparison?
Yes. The markdown twin at this comparison mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.
Which is better maintained, tradingview-mcp or awesome-ai-sdks?
tradingview-mcp: Very active. awesome-ai-sdks: Steady. Compare maintenance labels, days since push, and release cadence in the trust section below - stars alone do not measure maintenance.
Where are the full trust reports for tradingview-mcp and awesome-ai-sdks?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: tradingview-mcp trust report; awesome-ai-sdks trust report.

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