--- title: "firecrawl-mcp-server vs cherche" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/firecrawl-firecrawl-mcp-server-vs-raphaelsty-cherche" tools: ["firecrawl-firecrawl-mcp-server", "raphaelsty-cherche"] --- # firecrawl-mcp-server vs cherche *GraphCanon updated Sep 20, 2026* ## Verdict Pick firecrawl-mcp-server if firecrawl MCP Server is designed to integrate powerful web scraping and content extraction functionalities for LLM clients such as Cursor and Claude under the MIT License; pick cherche if cherche is a Python library for neural search and information retrieval tasks, supporting both simple and semantic retrievers. It is ideal for projects needing robust search functionalities enhanced. [firecrawl-mcp-server](https://firecrawl.dev) reports 7.5k GitHub stars, 891 forks, and 140 open issues, last pushed Sep 20, 2026. [cherche](https://github.com/raphaelsty/cherche) has 332 stars, 14 forks, and 4 open issues, last pushed Jun 1, 2024. Figures are from public GitHub metadata via [firecrawl-mcp-server's repository](https://github.com/firecrawl/firecrawl-mcp-server) and [cherche's repository](https://github.com/raphaelsty/cherche). | | [firecrawl-mcp-server](/tools/firecrawl-firecrawl-mcp-server.md) | [cherche](/tools/raphaelsty-cherche.md) | | --- | --- | --- | | Tagline | Adding web scraping and search capabilities to LLM clients like Cursor and Claude | Neural Search | | Stars | 7,489 | 332 | | Forks | 891 | 14 | | Open issues | 140 | 4 | | Language | TypeScript | Python | | Adopt for | Firecrawl MCP Server is designed to integrate powerful web scraping and content extraction functionalities for LLM clients such as Cursor and Claude under the MIT License. | Cherche is a Python library for neural search and information retrieval tasks, supporting both simple and semantic retrievers. It is ideal for projects needing robust search functionalities enhanced with neural-based and | | Persona | - | - | | Runtime | - | - | | License | MIT | MIT | | Categories | Data & Retrieval, LLM Frameworks | Data & Retrieval | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [firecrawl-mcp-server](/tools/firecrawl-firecrawl-mcp-server.md) | [cherche](/tools/raphaelsty-cherche.md) | | --- | --- | --- | | Maintenance | Very active (96%) | Dormant (18%) | | Days since push | 0d | 840d | | Open issues (now) | 140 | 4 | | Stars delta | +442 (30d) | 0 (30d) | | Open issues delta | -18 (30d) | 0 (30d) | | Owner type | Organization | User | | Full report | [trust report](/tools/firecrawl-firecrawl-mcp-server/trust.md) | [trust report](/tools/raphaelsty-cherche/trust.md) | ## Decision facts: firecrawl-mcp-server - **Adopt for:** Firecrawl MCP Server is designed to integrate powerful web scraping and content extraction functionalities for LLM clients such as Cursor and Claude under the MIT License. ## Decision facts: cherche - **Adopt for:** Cherche is a Python library for neural search and information retrieval tasks, supporting both simple and semantic retrievers. It is ideal for projects needing robust search functionalities enhanced with neural-based and ## Choose when ### Choose firecrawl-mcp-server if… - firecrawl-mcp-server is primarily TypeScript; cherche is Python. - Tags unique to firecrawl-mcp-server: batch-processing, content-extraction, data-collection, javascript-rendering. - Also covers LLM Frameworks. - firecrawl-mcp-server ships Docker support for self-hosted deployment. - When you need JavaScript-based rendering capabilities for more accurate content extraction from the web ### Choose cherche if… - cherche is primarily Python; firecrawl-mcp-server is TypeScript. - Tags unique to cherche: bm25, flashtext, information retrieval, machine-learning. - Use Cherche when you need to implement neural search functionalities that go beyond traditional keyword matching. It is suitable for projects that require a deep understanding of the semantic meaning, ## When NOT to use firecrawl-mcp-server - If your project requires a server-side solution in languages other than JavaScript, as Firecrawl MCP Server is written in JavaScript only - When you are not looking to integrate or extend functionalities for Cursor and Claude LLM clients ## When NOT to use cherche - Avoid Cherche if your project has strict limitations on external dependencies or if the project's scope is limited to basic keyword search capabilities only, as it includes both simple and advanced - Cherche may not be the best option if your project prioritizes using a specific technology stack, such as a particular framework for machine learning, that the library does not well integrate with - If your project strictly avoids using libraries licensed under the MIT license, you should consider other options. Cherche's MIT license might not align with the licensing requirements of other - Do not use Cherche for projects that have explicit requirements for operating environments that are not supported by Cherche, such as specific versions of Python or operating systems. ## Common questions ### What is the difference between firecrawl-mcp-server and cherche? firecrawl-mcp-server: Adding web scraping and search capabilities to LLM clients like Cursor and Claude. cherche: Neural Search. See the comparison table for live GitHub stats and shared categories. ### When should I choose firecrawl-mcp-server over cherche? Choose firecrawl-mcp-server over cherche when firecrawl-mcp-server is primarily TypeScript; cherche is Python; Tags unique to firecrawl-mcp-server: batch-processing, content-extraction, data-collection, javascript-rendering; Also covers LLM Frameworks; firecrawl-mcp-server ships Docker support for self-hosted deployment; When you need JavaScript-based rendering capabilities for more accurate content extraction from the web. ### When should I choose cherche over firecrawl-mcp-server? Choose cherche over firecrawl-mcp-server when cherche is primarily Python; firecrawl-mcp-server is TypeScript; Tags unique to cherche: bm25, flashtext, information retrieval, machine-learning; Use Cherche when you need to implement neural search functionalities that go beyond traditional keyword matching. It is suitable for projects that require a deep understanding of the semantic meaning,. ### When should I avoid firecrawl-mcp-server? If your project requires a server-side solution in languages other than JavaScript, as Firecrawl MCP Server is written in JavaScript only When you are not looking to integrate or extend functionalities for Cursor and Claude LLM clients ### When should I avoid cherche? Avoid Cherche if your project has strict limitations on external dependencies or if the project's scope is limited to basic keyword search capabilities only, as it includes both simple and advanced Cherche may not be the best option if your project prioritizes using a specific technology stack, such as a particular framework for machine learning, that the library does not well integrate with If your project strictly avoids using libraries licensed under the MIT license, you should consider other options. Cherche's MIT license might not align with the licensing requirements of other Do not use Cherche for projects that have explicit requirements for operating environments that are not supported by Cherche, such as specific versions of Python or operating systems. ### Is firecrawl-mcp-server or cherche more popular on GitHub? firecrawl-mcp-server has more GitHub stars (7,489 vs 332). Stars measure visibility, not whether either tool fits your constraints. ### Are firecrawl-mcp-server and cherche open source? Yes - both are open-source projects on GitHub (firecrawl-mcp-server: MIT, cherche: MIT). ### Where can I find alternatives to firecrawl-mcp-server or cherche? GraphCanon lists graph-backed alternatives at [firecrawl-mcp-server alternatives](/tools/firecrawl-firecrawl-mcp-server/alternatives) and [cherche alternatives](/tools/raphaelsty-cherche/alternatives) ([firecrawl-mcp-server markdown twin](/tools/firecrawl-firecrawl-mcp-server/alternatives.md), [cherche markdown twin](/tools/raphaelsty-cherche/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/firecrawl-firecrawl-mcp-server-vs-raphaelsty-cherche.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, firecrawl-mcp-server or cherche? firecrawl-mcp-server: Very active. cherche: Dormant. 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 firecrawl-mcp-server and cherche? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [firecrawl-mcp-server trust report](/tools/firecrawl-firecrawl-mcp-server/trust); [cherche trust report](/tools/raphaelsty-cherche/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=firecrawl-firecrawl-mcp-server`](/api/graphcanon/graph?tool=firecrawl-firecrawl-mcp-server) - 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/_