--- title: "flowgram.ai vs awesome-mcp-servers" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/bytedance-flowgram-ai-vs-punkpeye-awesome-mcp-servers" tools: ["bytedance-flowgram-ai", "punkpeye-awesome-mcp-servers"] --- # flowgram.ai vs awesome-mcp-servers *GraphCanon updated Jul 15, 2026* ## Verdict Pick flowgram.ai when tags unique to flowgram.ai: automation, coze, data-flow, diagram; pick awesome-mcp-servers when tags unique to awesome-mcp-servers: mcp, server-resources. [flowgram.ai](https://flowgram.ai) reports 8.2k GitHub stars, 740 forks, and 72 open issues, last pushed Jul 7, 2026. [awesome-mcp-servers](https://glama.ai/mcp/servers) has 91k stars, 13k forks, and 2.6k open issues, last pushed Jul 4, 2026. Figures are from public GitHub metadata via [flowgram.ai's repository](https://github.com/bytedance/flowgram.ai) and [awesome-mcp-servers's repository](https://github.com/punkpeye/awesome-mcp-servers). | | [flowgram.ai](/tools/bytedance-flowgram-ai.md) | [awesome-mcp-servers](/tools/punkpeye-awesome-mcp-servers.md) | | --- | --- | --- | | Tagline | FlowGram is an extensible workflow development framework with built-in canvas, form, variable, and materials that helps developers build AI workflow platforms faster and simpler. | A collection of MCP servers | | Stars | 8,205 | 90,602 | | Forks | 740 | 12,821 | | Open issues | 72 | 2,557 | | Language | TypeScript | - | | Adopt for | - | awesome-mcp-servers is a collection focused specifically on MCP servers with an emphasis on AI integration. | | Persona | - | - | | Runtime | - | - | | License | MIT | MIT | | Categories | Developer Tools | Developer Tools | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [flowgram.ai](/tools/bytedance-flowgram-ai.md) | [awesome-mcp-servers](/tools/punkpeye-awesome-mcp-servers.md) | | --- | --- | --- | | Maintenance | Active (82%) | Very active (96%) | | Days since push | 8d | 6d | | Open issues (now) | 72 | 2.6k | | Owner type | Organization | User | | Full report | [trust report](/tools/bytedance-flowgram-ai/trust.md) | [trust report](/tools/punkpeye-awesome-mcp-servers/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 flowgram.ai if… - Tags unique to flowgram.ai: automation, coze, data-flow, diagram. - More recently updated (last pushed Jul 7, 2026). ### Choose awesome-mcp-servers if… - Tags unique to awesome-mcp-servers: 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. - More GitHub stars (91k vs 8.2k) - visibility, not fit. ## When NOT to use flowgram.ai - Developer Tools: A gateway is overkill when you're pinned to a single provider and model. ## 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. ## Common questions ### What is the difference between flowgram.ai and awesome-mcp-servers? flowgram.ai: FlowGram is an extensible workflow development framework with built-in canvas, form, variable, and materials that helps developers build AI workflow platforms faster and simpler.. awesome-mcp-servers: A collection of MCP servers. See the comparison table for live GitHub stats and shared categories. ### When should I choose flowgram.ai over awesome-mcp-servers? Choose flowgram.ai over awesome-mcp-servers when Tags unique to flowgram.ai: automation, coze, data-flow, diagram; More recently updated (last pushed Jul 7, 2026). ### When should I choose awesome-mcp-servers over flowgram.ai? Choose awesome-mcp-servers over flowgram.ai when Tags unique to awesome-mcp-servers: 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; More GitHub stars (91k vs 8.2k) - visibility, not fit. ### When should I avoid flowgram.ai? Developer Tools: A gateway is overkill when you're pinned to a single provider and model. ### 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. ### Is flowgram.ai or awesome-mcp-servers more popular on GitHub? awesome-mcp-servers has more GitHub stars (90,602 vs 8,205). Stars measure visibility, not whether either tool fits your constraints. ### Are flowgram.ai and awesome-mcp-servers open source? Yes - both are open-source projects on GitHub (flowgram.ai: MIT, awesome-mcp-servers: MIT). ### Where can I find alternatives to flowgram.ai or awesome-mcp-servers? GraphCanon lists graph-backed alternatives at [flowgram.ai alternatives](/tools/bytedance-flowgram-ai/alternatives) and [awesome-mcp-servers alternatives](/tools/punkpeye-awesome-mcp-servers/alternatives) ([flowgram.ai markdown twin](/tools/bytedance-flowgram-ai/alternatives.md), [awesome-mcp-servers markdown twin](/tools/punkpeye-awesome-mcp-servers/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/bytedance-flowgram-ai-vs-punkpeye-awesome-mcp-servers.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, flowgram.ai or awesome-mcp-servers? flowgram.ai: Active. awesome-mcp-servers: 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 flowgram.ai and awesome-mcp-servers? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [flowgram.ai trust report](/tools/bytedance-flowgram-ai/trust); [awesome-mcp-servers trust report](/tools/punkpeye-awesome-mcp-servers/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=bytedance-flowgram-ai`](/api/graphcanon/graph?tool=bytedance-flowgram-ai) - 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/_