Comparison
firecrawl-mcp-server vs cherche
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.
Markdown twin · firecrawl-mcp-server alternatives · cherche alternatives
GraphCanon updated Sep 20, 2026
7views this month
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Trust & integrity
| Signal | firecrawl-mcp-server | cherche |
|---|---|---|
| Maintenance | Very active (0d since push) As of Sep 20, 2026 · github_public_v1 | Dormant (840d since push) As of Sep 20, 2026 · github_public_v1 |
| Provenance | Not a fork · Organization account As of Sep 20, 2026 · github_public_v1 | Not a fork · Personal account As of Sep 20, 2026 · github_public_v1 |
| OSV dependency advisories | Published findings As of Aug 2, 2026 · osv@v1 | No lockfile (source not queried) As of Jul 11, 2026 · 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
- firecrawl-mcp-server
- Adding web scraping and search capabilities to LLM clients like Cursor and Claude
- cherche
- Neural Search
Stars
- firecrawl-mcp-server
- 7.5k
- cherche
- 332
Forks
- firecrawl-mcp-server
- 891
- cherche
- 14
Open issues
- firecrawl-mcp-server
- 140
- cherche
- 4
Language
- firecrawl-mcp-server
- TypeScript
- cherche
- Python
Adopt for
- firecrawl-mcp-server
- 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
- 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
- firecrawl-mcp-server
- -
- cherche
- -
Runtime
- firecrawl-mcp-server
- -
- cherche
- -
License
- firecrawl-mcp-server
- MIT
- cherche
- MIT
Last pushed
- firecrawl-mcp-server
- Sep 20, 2026
- cherche
- Jun 1, 2024
Categories
- firecrawl-mcp-server
- Data & Retrieval, LLM Frameworks
- cherche
- Data & Retrieval
Trust and health
Maintenance
- firecrawl-mcp-server
- Very active (96%)
- cherche
- Dormant (18%)
Days since push
- firecrawl-mcp-server
- 0d
- cherche
- 840d
Open issues (now)
- firecrawl-mcp-server
- 140
- cherche
- 4
Stars delta
- firecrawl-mcp-server
- +442 (30d)
- cherche
- 0 (30d)
Open issues delta
- firecrawl-mcp-server
- -18 (30d)
- cherche
- 0 (30d)
Owner type
- firecrawl-mcp-server
- Organization
- cherche
- User
OSV dependency advisories
- firecrawl-mcp-server
- Published findings
- cherche
- No lockfile (source not queried)
Full report
- firecrawl-mcp-server
- Trust report
- cherche
- Trust report
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
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
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 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.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (firecrawl/firecrawl-mcp-server) · observed Sep 20, 2026
- GitHub forks (firecrawl/firecrawl-mcp-server) · observed Sep 20, 2026
- Last push (firecrawl/firecrawl-mcp-server) · observed Sep 20, 2026
- License file (MIT) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 16, 2026
- Trust scan (lockfile / OSV) · observed Aug 2, 2026
- GitHub stars (raphaelsty/cherche) · observed Sep 20, 2026
- GitHub forks (raphaelsty/cherche) · observed Sep 20, 2026
- Last push (raphaelsty/cherche) · observed Jun 1, 2024
- License file (MIT) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Sep 8, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: firecrawl-mcp-server 7.5k · cherche 332 (synced Sep 20, 2026).
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 and cherche alternatives (firecrawl-mcp-server markdown twin, cherche 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, 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; cherche trust report.