--- title: "prompts.chat vs MCP-Nest" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/f-prompts-chat-vs-rekog-labs-mcp-nest" tools: ["f-prompts-chat", "rekog-labs-mcp-nest"] --- # prompts.chat vs MCP-Nest *GraphCanon updated Jul 11, 2026* ## Verdict Pick prompts.chat when prompts.chat is primarily HTML; MCP-Nest is TypeScript; pick MCP-Nest when mCP-Nest is primarily TypeScript; prompts.chat is HTML. [prompts.chat](https://prompts.chat) reports 165k GitHub stars, 21k forks, and 60 open issues, last pushed Jul 11, 2026. [MCP-Nest](https://github.com/rekog-labs/MCP-Nest) has 673 stars, 109 forks, and 27 open issues, last pushed Jul 8, 2026. Figures are from public GitHub metadata via [prompts.chat's repository](https://github.com/f/prompts.chat) and [MCP-Nest's repository](https://github.com/rekog-labs/MCP-Nest). | | [prompts.chat](/tools/f-prompts-chat.md) | [MCP-Nest](/tools/rekog-labs-mcp-nest.md) | | --- | --- | --- | | Tagline | Share, discover, and collect prompts from the community | A NestJS module to effortlessly create Model Context Protocol (MCP) servers for exposing AI tools, resources, and prompts. | | Stars | 165,372 | 673 | | Forks | 21,400 | 109 | | Open issues | 60 | 27 | | Language | HTML | TypeScript | | Adopt for | Critical decision points for evaluating `prompts.chat` | - | | Persona | - | - | | Runtime | - | - | | License | Other | MIT | | Categories | Developer Tools, LLM Frameworks | Developer Tools, LLM Frameworks | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [prompts.chat](/tools/f-prompts-chat.md) | [MCP-Nest](/tools/rekog-labs-mcp-nest.md) | | --- | --- | --- | | Days since push | 0d | 3d | | Open issues (now) | 60 | 27 | | Owner type | User | Organization | | Security scan | No lockfile | No MCP manifest | | Full report | [trust report](/tools/f-prompts-chat/trust.md) | [trust report](/tools/rekog-labs-mcp-nest/trust.md) | ## Decision facts: prompts.chat - **Adopt for:** Critical decision points for evaluating `prompts.chat` ## Choose when ### Choose prompts.chat if… - prompts.chat is primarily HTML; MCP-Nest is TypeScript. - License: prompts.chat is Other, MCP-Nest is MIT. - Tags unique to prompts.chat: ai, artificial-intelligence, awesome-list, chatgpt. - Critical decision points for evaluating `prompts.chat` ### Choose MCP-Nest if… - MCP-Nest is primarily TypeScript; prompts.chat is HTML. - License: MCP-Nest is MIT, prompts.chat is Other. - Tags unique to MCP-Nest: llms, mcp, mcp-nest, model-context-protocol. ## When NOT to use prompts.chat - Developer Tools: A gateway is overkill when you're pinned to a single provider and model. - LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. ## When NOT to use MCP-Nest - Developer Tools: A gateway is overkill when you're pinned to a single provider and model. - LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. ## Common questions ### What is the difference between prompts.chat and MCP-Nest? prompts.chat: Share, discover, and collect prompts from the community. MCP-Nest: A NestJS module to effortlessly create Model Context Protocol (MCP) servers for exposing AI tools, resources, and prompts.. See the comparison table for live GitHub stats and shared categories. ### When should I choose prompts.chat over MCP-Nest? Choose prompts.chat over MCP-Nest when prompts.chat is primarily HTML; MCP-Nest is TypeScript; License: prompts.chat is Other, MCP-Nest is MIT; Tags unique to prompts.chat: ai, artificial-intelligence, awesome-list, chatgpt; Critical decision points for evaluating `prompts.chat`. ### When should I choose MCP-Nest over prompts.chat? Choose MCP-Nest over prompts.chat when MCP-Nest is primarily TypeScript; prompts.chat is HTML; License: MCP-Nest is MIT, prompts.chat is Other; Tags unique to MCP-Nest: llms, mcp, mcp-nest, model-context-protocol. ### When should I avoid prompts.chat? Developer Tools: A gateway is overkill when you're pinned to a single provider and model. LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. ### When should I avoid MCP-Nest? Developer Tools: A gateway is overkill when you're pinned to a single provider and model. LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. ### Is prompts.chat or MCP-Nest more popular on GitHub? prompts.chat has more GitHub stars (165,372 vs 673). Stars measure visibility, not whether either tool fits your constraints. ### Are prompts.chat and MCP-Nest open source? Yes - both are open-source projects on GitHub (prompts.chat: Other, MCP-Nest: MIT). ### Where can I find alternatives to prompts.chat or MCP-Nest? GraphCanon lists graph-backed alternatives at [prompts.chat alternatives](/tools/f-prompts-chat/alternatives) and [MCP-Nest alternatives](/tools/rekog-labs-mcp-nest/alternatives) ([prompts.chat markdown twin](/tools/f-prompts-chat/alternatives.md), [MCP-Nest markdown twin](/tools/rekog-labs-mcp-nest/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/f-prompts-chat-vs-rekog-labs-mcp-nest.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, prompts.chat or MCP-Nest? prompts.chat: Very active. MCP-Nest: 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 prompts.chat and MCP-Nest? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [prompts.chat trust report](/tools/f-prompts-chat/trust); [MCP-Nest trust report](/tools/rekog-labs-mcp-nest/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=f-prompts-chat`](/api/graphcanon/graph?tool=f-prompts-chat) - 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/_