--- title: "awesome-mcp-servers vs SpiffWorkflow" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/punkpeye-awesome-mcp-servers-vs-sartography-spiffworkflow" tools: ["punkpeye-awesome-mcp-servers", "sartography-spiffworkflow"] --- # awesome-mcp-servers vs SpiffWorkflow *GraphCanon updated Jul 15, 2026* ## 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. [awesome-mcp-servers](https://glama.ai/mcp/servers) reports 91k GitHub stars, 13k forks, and 2.6k open issues, last pushed Jul 4, 2026. [SpiffWorkflow](https://github.com/sartography/SpiffWorkflow) has 1.9k stars, 339 forks, and 9 open issues, last pushed Jul 12, 2026. Figures are from public GitHub metadata via [awesome-mcp-servers's repository](https://github.com/punkpeye/awesome-mcp-servers) and [SpiffWorkflow's repository](https://github.com/sartography/SpiffWorkflow). | | [awesome-mcp-servers](/tools/punkpeye-awesome-mcp-servers.md) | [SpiffWorkflow](/tools/sartography-spiffworkflow.md) | | --- | --- | --- | | Tagline | A collection of MCP servers | A powerful workflow engine implemented in pure Python | | Stars | 90,602 | 1,903 | | Forks | 12,821 | 339 | | Open issues | 2,557 | 9 | | Language | - | Python | | Adopt for | awesome-mcp-servers is a collection focused specifically on MCP servers with an emphasis on AI integration. | - | | Persona | - | - | | Runtime | - | - | | License | MIT | LGPL-3.0 | | Categories | Developer Tools | Developer Tools | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [awesome-mcp-servers](/tools/punkpeye-awesome-mcp-servers.md) | [SpiffWorkflow](/tools/sartography-spiffworkflow.md) | | --- | --- | --- | | Days since push | 6d | 2d | | Open issues (now) | 2.6k | 9 | | Owner type | User | Organization | | Full report | [trust report](/tools/punkpeye-awesome-mcp-servers/trust.md) | [trust report](/tools/sartography-spiffworkflow/trust.md) | ## Decision facts: awesome-mcp-servers - **Adopt for:** awesome-mcp-servers is a collection focused specifically on MCP servers with an emphasis on AI integration. ## Choose when ### 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. ### 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 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 NOT to use SpiffWorkflow - Developer Tools: A gateway is overkill when you're pinned to a single provider and model. ## 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](/tools/punkpeye-awesome-mcp-servers/alternatives) and [SpiffWorkflow alternatives](/tools/sartography-spiffworkflow/alternatives) ([awesome-mcp-servers markdown twin](/tools/punkpeye-awesome-mcp-servers/alternatives.md), [SpiffWorkflow markdown twin](/tools/sartography-spiffworkflow/alternatives.md)), 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](/compare/punkpeye-awesome-mcp-servers-vs-sartography-spiffworkflow.md) 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](/tools/punkpeye-awesome-mcp-servers/trust); [SpiffWorkflow trust report](/tools/sartography-spiffworkflow/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=punkpeye-awesome-mcp-servers`](/api/graphcanon/graph?tool=punkpeye-awesome-mcp-servers) - LLM index: [/llms.txt](/llms.txt) - Full corpus: [/llms-full.txt](/llms-full.txt) _GraphCanon - The knowledge graph for AI development. https://www.graphcanon.com/_