Comparison
agency-orchestrator vs meta-ads-mcp
Verdict
Pick agency-orchestrator if agency Orchestrator is an AI workflow orchestrator that automatically collaborates among multiple AI agents based on user inputs, supports various large language models, and allows for zero-code YAML configuration; pick meta-ads-mcp if meta-ads-mcp offers a hosted service specifically designed for integrating with AI agents to manage advertising on Meta platforms such as Facebook and Instagram through the.
Markdown twin · agency-orchestrator alternatives · meta-ads-mcp alternatives
GraphCanon updated 1w
vs
Trust & integrity
| Signal | agency-orchestrator | meta-ads-mcp |
|---|---|---|
| Maintenance | Very active (0d since push) As of 1w · github_public_v1 | Very active (3d since push) As of 4w · github_public_v1 |
| Provenance | Not a fork · Personal account As of 1w · github_public_v1 | Not a fork · Organization account As of 4w · github_public_v1 |
| OSV dependency advisories | Published findings 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
- agency-orchestrator
- 🚀 One sentence → multi-AI-role collaboration → complete plan in minutes
- meta-ads-mcp
- Meta Ads MCP server for Claude, ChatGPT, Perplexity & Cursor
Stars
- agency-orchestrator
- 2.1k
- meta-ads-mcp
- 1.1k
Forks
- agency-orchestrator
- 273
- meta-ads-mcp
- 254
Open issues
- agency-orchestrator
- 10
- meta-ads-mcp
- 15
Language
- agency-orchestrator
- TypeScript
- meta-ads-mcp
- Python
Adopt for
- agency-orchestrator
- Agency Orchestrator is an AI workflow orchestrator that automatically collaborates among multiple AI agents based on user inputs, supports various large language models, and allows for zero-code YAML configuration.
- meta-ads-mcp
- meta-ads-mcp offers a hosted service specifically designed for integrating with AI agents to manage advertising on Meta platforms such as Facebook and Instagram through the Model Context Protocol (MCP).
Persona
- agency-orchestrator
- -
- meta-ads-mcp
- -
Runtime
- agency-orchestrator
- -
- meta-ads-mcp
- -
License
- agency-orchestrator
- Apache-2.0
- meta-ads-mcp
- The license details were categorized as 'Other'; users should evaluate licensing terms from primary sources before adoption.
Last pushed
- agency-orchestrator
- Aug 14, 2026
- meta-ads-mcp
- Jul 23, 2026
Categories
- agency-orchestrator
- AI Agents, Inference & Serving
- meta-ads-mcp
- AI Agents
Trust and health
Days since push
- agency-orchestrator
- 0d
- meta-ads-mcp
- 3d
Open issues (now)
- agency-orchestrator
- 10
- meta-ads-mcp
- 15
Stars delta
- agency-orchestrator
- +282 (30d)
- meta-ads-mcp
- Unknown
Open issues delta
- agency-orchestrator
- -4 (30d)
- meta-ads-mcp
- Unknown
Owner type
- agency-orchestrator
- User
- meta-ads-mcp
- Organization
OSV dependency advisories
- agency-orchestrator
- Published findings
- meta-ads-mcp
- No lockfile (source not queried)
Full report
- agency-orchestrator
- Trust report
- meta-ads-mcp
- Trust report
Choose agency-orchestrator if…
- agency-orchestrator is primarily TypeScript; meta-ads-mcp is Python.
- License: agency-orchestrator is Apache-2.0, meta-ads-mcp is Other.
- Tags unique to agency-orchestrator: agency-agents, agent-orchestration, ai-agents, yaml-workflow.
- Also covers Inference & Serving.
- agency-orchestrator ships an MCP server manifest.
- You require automatic collaboration across a wide range of pre-defined expert roles (216+) to execute specific tasks efficiently.
When NOT to use agency-orchestrator
- If your workflow is simple or requires minimal collaboration; a single AI agent might suffice.
- When you are working in an environment where there's high sensitivity around software licensing and the Apache-2.0 license poses compliance concerns.
Choose meta-ads-mcp if…
- meta-ads-mcp is primarily Python; agency-orchestrator is TypeScript.
- License: meta-ads-mcp is Other, agency-orchestrator is Apache-2.0.
- Pricing: A free plan is offered, designed for initial trials or small-scale operations. Additional costs are likely for advanced features or larger volumes of ad placements..
- Requirements: This service does not require self-hosting; it operates as a hosted solution..
- Tags unique to meta-ads-mcp: advertising, meta business partner, model-context-protocol.
- When you need an out-of-the-box solution that integrates seamlessly with popular AI tools like Claude or ChatGPT to automate ad placements on both Facebook and Instagram.
When NOT to use meta-ads-mcp
- When self-hosting is preferred for tighter control over server configurations and security settings.
- If your advertising campaigns are primarily focused on non-Meta platforms such as Twitter or LinkedIn, then the integration services offered by meta-ads-mcp would not be applicable to your needs.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (jnMetaCode/agency-orchestrator) · observed Aug 14, 2026
- GitHub forks (jnMetaCode/agency-orchestrator) · observed Aug 14, 2026
- Last push (jnMetaCode/agency-orchestrator) · observed Aug 14, 2026
- License file (Apache-2.0) · observed Aug 14, 2026
- Decision facts (enrichment) · observed Jul 16, 2026
- Trust scan (lockfile / OSV) · observed Jul 15, 2026
- GitHub stars (pipeboard-co/meta-ads-mcp) · observed Jul 27, 2026
- GitHub forks (pipeboard-co/meta-ads-mcp) · observed Jul 27, 2026
- Last push (pipeboard-co/meta-ads-mcp) · observed Jul 23, 2026
- License file (Other) · observed Jul 27, 2026
- Decision facts (enrichment) · observed Jul 16, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: agency-orchestrator 2.1k · meta-ads-mcp 1.1k (synced Aug 14, 2026).
Common questions
- What is the difference between agency-orchestrator and meta-ads-mcp?
- agency-orchestrator: 🚀 One sentence → multi-AI-role collaboration → complete plan in minutes. meta-ads-mcp: Meta Ads MCP server for Claude, ChatGPT, Perplexity & Cursor. See the comparison table for live GitHub stats and shared categories.
- When should I choose agency-orchestrator over meta-ads-mcp?
- Choose agency-orchestrator over meta-ads-mcp when agency-orchestrator is primarily TypeScript; meta-ads-mcp is Python; License: agency-orchestrator is Apache-2.0, meta-ads-mcp is Other; Tags unique to agency-orchestrator: agency-agents, agent-orchestration, ai-agents, yaml-workflow; Also covers Inference & Serving; agency-orchestrator ships an MCP server manifest; You require automatic collaboration across a wide range of pre-defined expert roles (216+) to execute specific tasks efficiently.
- When should I choose meta-ads-mcp over agency-orchestrator?
- Choose meta-ads-mcp over agency-orchestrator when meta-ads-mcp is primarily Python; agency-orchestrator is TypeScript; License: meta-ads-mcp is Other, agency-orchestrator is Apache-2.0; Pricing: A free plan is offered, designed for initial trials or small-scale operations. Additional costs are likely for advanced features or larger volumes of ad placements.; Requirements: This service does not require self-hosting; it operates as a hosted solution.; Tags unique to meta-ads-mcp: advertising, meta business partner, model-context-protocol; When you need an out-of-the-box solution that integrates seamlessly with popular AI tools like Claude or ChatGPT to automate ad placements on both Facebook and Instagram.
- When should I avoid agency-orchestrator?
- If your workflow is simple or requires minimal collaboration; a single AI agent might suffice. When you are working in an environment where there's high sensitivity around software licensing and the Apache-2.0 license poses compliance concerns.
- When should I avoid meta-ads-mcp?
- When self-hosting is preferred for tighter control over server configurations and security settings. If your advertising campaigns are primarily focused on non-Meta platforms such as Twitter or LinkedIn, then the integration services offered by meta-ads-mcp would not be applicable to your needs.
- Is agency-orchestrator or meta-ads-mcp more popular on GitHub?
- agency-orchestrator has more GitHub stars (2,072 vs 1,108). Stars measure visibility, not whether either tool fits your constraints.
- Are agency-orchestrator and meta-ads-mcp open source?
- Yes - both are open-source projects on GitHub (agency-orchestrator: Apache-2.0, meta-ads-mcp: Other).
- Where can I find alternatives to agency-orchestrator or meta-ads-mcp?
- GraphCanon lists graph-backed alternatives at agency-orchestrator alternatives and meta-ads-mcp alternatives (agency-orchestrator markdown twin, meta-ads-mcp 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, agency-orchestrator or meta-ads-mcp?
- agency-orchestrator: Very active. meta-ads-mcp: Very active. 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 agency-orchestrator and meta-ads-mcp?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: agency-orchestrator trust report; meta-ads-mcp trust report.