Home/Compare/awesome-mcp-servers vs SpiffWorkflow

Comparison

awesome-mcp-servers vs SpiffWorkflow

Verdict

Pick awesome-mcp-servers when license: awesome-mcp-servers is MIT, SpiffWorkflow is LGPL-3.0; pick SpiffWorkflow when license: SpiffWorkflow is LGPL-3.0, awesome-mcp-servers is MIT.

Markdown twin · awesome-mcp-servers alternatives · SpiffWorkflow alternatives

GraphCanon updated today

awesome-mcp-servers logo

awesome-mcp-servers

punkpeye/awesome-mcp-servers

91kpushed Jul 4, 2026
vs
SpiffWorkflow logo

SpiffWorkflow

sartography/SpiffWorkflow

1.9kpushed Jul 12, 2026

Trust & integrity

Signalawesome-mcp-serversSpiffWorkflow
Maintenance
Very active (6d since push)
As of 4d · github_public_v1
Very active (2d since push)
As of today · github_public_v1
Provenance
Not a fork · Personal account
As of 4d · github_public_v1
Not a fork · Organization account
As of today · github_public_v1
OSV dependency advisories
No lockfile (source not queried)
As of 4d · osv@v1
No lockfile (source not queried)
As of today · 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

awesome-mcp-servers
A collection of MCP servers
SpiffWorkflow
A powerful workflow engine implemented in pure Python

Stars

awesome-mcp-servers
91k
SpiffWorkflow
1.9k

Forks

awesome-mcp-servers
13k
SpiffWorkflow
339

Open issues

awesome-mcp-servers
2.6k
SpiffWorkflow
9

Language

awesome-mcp-servers
-
SpiffWorkflow
Python

Adopt for

awesome-mcp-servers
awesome-mcp-servers is a collection focused specifically on MCP servers with an emphasis on AI integration.
SpiffWorkflow
-

Persona

awesome-mcp-servers
-
SpiffWorkflow
-

Runtime

awesome-mcp-servers
-
SpiffWorkflow
-

License

awesome-mcp-servers
MIT
SpiffWorkflow
LGPL-3.0

Last pushed

awesome-mcp-servers
Jul 4, 2026
SpiffWorkflow
Jul 12, 2026

Categories

awesome-mcp-servers
Developer Tools
SpiffWorkflow
Developer Tools

Trust and health

Days since push

awesome-mcp-servers
6d
SpiffWorkflow
2d

Open issues (now)

awesome-mcp-servers
2.6k
SpiffWorkflow
9

Owner type

awesome-mcp-servers
User
SpiffWorkflow
Organization

Full report

awesome-mcp-servers
Trust report
SpiffWorkflow
Trust report

Choose awesome-mcp-servers if…

  • License: awesome-mcp-servers is MIT, SpiffWorkflow is LGPL-3.0.
  • Tags unique to awesome-mcp-servers: ai, mcp, server-resources.
  • If your project requires detailed resources and tools around MCP server capabilities for AI projects, awesome-mcp-servers is well-suited as it focuses solely on this niche area of technology.

When NOT to use awesome-mcp-servers

  • Avoid using awesome-mcp-servers if your project does not involve utilizing or exploring the specific functionalities of MCP servers in relation to AI applications.

Choose SpiffWorkflow if…

  • License: SpiffWorkflow is LGPL-3.0, awesome-mcp-servers is MIT.
  • Tags unique to SpiffWorkflow: bpmn, bpmn-engine, python, spiff-workflow.
  • SpiffWorkflow ships Docker support for self-hosted deployment.

When NOT to use SpiffWorkflow

  • Developer Tools: A gateway is overkill when you're pinned to a single provider and model.

Explore

Sources

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

GitHub stars on cards: awesome-mcp-servers 91k · SpiffWorkflow 1.9k (synced Jul 11, 2026).

Common questions

What is the difference between awesome-mcp-servers and SpiffWorkflow?
awesome-mcp-servers: A collection of MCP servers. SpiffWorkflow: A powerful workflow engine implemented in pure Python. See the comparison table for live GitHub stats and shared categories.
When should I choose awesome-mcp-servers over SpiffWorkflow?
Choose awesome-mcp-servers over SpiffWorkflow when License: awesome-mcp-servers is MIT, SpiffWorkflow is LGPL-3.0; Tags unique to awesome-mcp-servers: ai, mcp, server-resources; If your project requires detailed resources and tools around MCP server capabilities for AI projects, awesome-mcp-servers is well-suited as it focuses solely on this niche area of technology.
When should I choose SpiffWorkflow over awesome-mcp-servers?
Choose SpiffWorkflow over awesome-mcp-servers when License: SpiffWorkflow is LGPL-3.0, awesome-mcp-servers is MIT; Tags unique to SpiffWorkflow: bpmn, bpmn-engine, python, spiff-workflow; SpiffWorkflow ships Docker support for self-hosted deployment.
When should I avoid awesome-mcp-servers?
Avoid using awesome-mcp-servers if your project does not involve utilizing or exploring the specific functionalities of MCP servers in relation to AI applications.
When should I avoid SpiffWorkflow?
Developer Tools: A gateway is overkill when you're pinned to a single provider and model.
Is awesome-mcp-servers or SpiffWorkflow more popular on GitHub?
awesome-mcp-servers has more GitHub stars (90,602 vs 1,903). Stars measure visibility, not whether either tool fits your constraints.
Are awesome-mcp-servers and SpiffWorkflow open source?
Yes - both are open-source projects on GitHub (awesome-mcp-servers: MIT, SpiffWorkflow: LGPL-3.0).
Where can I find alternatives to awesome-mcp-servers or SpiffWorkflow?
GraphCanon lists graph-backed alternatives at awesome-mcp-servers alternatives and SpiffWorkflow alternatives (awesome-mcp-servers markdown twin, SpiffWorkflow 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, awesome-mcp-servers or SpiffWorkflow?
awesome-mcp-servers: Very active. SpiffWorkflow: 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 awesome-mcp-servers and SpiffWorkflow?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: awesome-mcp-servers trust report; SpiffWorkflow trust report.

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