--- title: "exa-mcp-server vs cherche" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/exa-labs-exa-mcp-server-vs-raphaelsty-cherche" tools: ["exa-labs-exa-mcp-server", "raphaelsty-cherche"] --- # exa-mcp-server vs cherche *GraphCanon updated Aug 26, 2026* ## Verdict Pick exa-mcp-server if the exa-mcp-server is centered around web search and crawling activities using TypeScript, leveraging the Model Context Protocol (MCP) for its operations; pick cherche if cherche is a Python library for implementing neural search capabilities. [exa-mcp-server](https://exa.ai/docs/reference/exa-mcp) reports 4.9k GitHub stars, 377 forks, and 32 open issues, last pushed Aug 21, 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 [exa-mcp-server's repository](https://github.com/exa-labs/exa-mcp-server) and [cherche's repository](https://github.com/raphaelsty/cherche). | | [exa-mcp-server](/tools/exa-labs-exa-mcp-server.md) | [cherche](/tools/raphaelsty-cherche.md) | | --- | --- | --- | | Tagline | Platform for web search and crawling using Model Context Protocol. | Neural Search | | Stars | 4,926 | 332 | | Forks | 377 | 14 | | Open issues | 32 | 4 | | Language | TypeScript | Python | | Adopt for | The exa-mcp-server is centered around web search and crawling activities using TypeScript, leveraging the Model Context Protocol (MCP) for its operations. | Cherche is a Python library for implementing neural search capabilities. | | Persona | - | - | | Runtime | - | - | | License | MIT | MIT | | Categories | Data & Retrieval | Data & Retrieval, Evaluation & Observability, Vector Databases | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [exa-mcp-server](/tools/exa-labs-exa-mcp-server.md) | [cherche](/tools/raphaelsty-cherche.md) | | --- | --- | --- | | Maintenance | Very active (96%) | Dormant (18%) | | Days since push | 5d | 812d | | Open issues (now) | 32 | 4 | | Stars delta | +149 (30d) | 0 (30d) | | Open issues delta | -7 (30d) | 0 (30d) | | Owner type | Organization | User | | Full report | [trust report](/tools/exa-labs-exa-mcp-server/trust.md) | [trust report](/tools/raphaelsty-cherche/trust.md) | ## Decision facts: exa-mcp-server - **Adopt for:** The exa-mcp-server is centered around web search and crawling activities using TypeScript, leveraging the Model Context Protocol (MCP) for its operations. ## Decision facts: cherche - **Adopt for:** Cherche is a Python library for implementing neural search capabilities. ## Choose when ### Choose exa-mcp-server if… - exa-mcp-server is primarily TypeScript; cherche is Python. - Tags unique to exa-mcp-server: code-search, crawling, model-context-protocol, web-search. - exa-mcp-server ships Docker support for self-hosted deployment. - exa-mcp-server ships an MCP server manifest. - Use when needing a specialized platform for web searches and crawls that integrates with MCP. ### Choose cherche if… - cherche is primarily Python; exa-mcp-server is TypeScript. - Tags unique to cherche: bm25, flashtext, information-retrieval, machine-learning. - Also covers Evaluation & Observability, Vector Databases. - Cherche is a Python library for implementing neural search capabilities. ## When NOT to use exa-mcp-server - Avoid for environments strictly requiring support from languages other than TypeScript as there is no alternative language implementation available in the repository. - Not recommended for scenarios where integration with technologies outside of MCP is essential to workflow as this server tightly binds operations to the MCP. ## When NOT to use cherche - Last GitHub push was 815 days ago (dormant maintenance, Jun 1, 2024). Validate activity before betting a new project on cherche. - Data & Retrieval: Skip a heavy ingestion framework when your corpus is small and static; a script plus the embedding API is enough. - Evaluation & Observability: Defer heavyweight eval infra only until you have real traffic - never skip it once users depend on answers. - Vector Databases: Don't reach for a dedicated vector DB under ~100k vectors; pgvector on your existing Postgres is simpler to operate. ## Common questions ### What is the difference between exa-mcp-server and cherche? exa-mcp-server: Platform for web search and crawling using Model Context Protocol.. cherche: Neural Search. See the comparison table for live GitHub stats and shared categories. ### When should I choose exa-mcp-server over cherche? Choose exa-mcp-server over cherche when exa-mcp-server is primarily TypeScript; cherche is Python; Tags unique to exa-mcp-server: code-search, crawling, model-context-protocol, web-search; exa-mcp-server ships Docker support for self-hosted deployment; exa-mcp-server ships an MCP server manifest; Use when needing a specialized platform for web searches and crawls that integrates with MCP. ### When should I choose cherche over exa-mcp-server? Choose cherche over exa-mcp-server when cherche is primarily Python; exa-mcp-server is TypeScript; Tags unique to cherche: bm25, flashtext, information-retrieval, machine-learning; Also covers Evaluation & Observability, Vector Databases; Cherche is a Python library for implementing neural search capabilities. ### When should I avoid exa-mcp-server? Avoid for environments strictly requiring support from languages other than TypeScript as there is no alternative language implementation available in the repository. Not recommended for scenarios where integration with technologies outside of MCP is essential to workflow as this server tightly binds operations to the MCP. ### When should I avoid cherche? Last GitHub push was 815 days ago (dormant maintenance, Jun 1, 2024). Validate activity before betting a new project on cherche. Data & Retrieval: Skip a heavy ingestion framework when your corpus is small and static; a script plus the embedding API is enough. Evaluation & Observability: Defer heavyweight eval infra only until you have real traffic - never skip it once users depend on answers. Vector Databases: Don't reach for a dedicated vector DB under ~100k vectors; pgvector on your existing Postgres is simpler to operate. ### Is exa-mcp-server or cherche more popular on GitHub? exa-mcp-server has more GitHub stars (4,926 vs 332). Stars measure visibility, not whether either tool fits your constraints. ### Are exa-mcp-server and cherche open source? Yes - both are open-source projects on GitHub (exa-mcp-server: MIT, cherche: MIT). ### Where can I find alternatives to exa-mcp-server or cherche? GraphCanon lists graph-backed alternatives at [exa-mcp-server alternatives](/tools/exa-labs-exa-mcp-server/alternatives) and [cherche alternatives](/tools/raphaelsty-cherche/alternatives) ([exa-mcp-server markdown twin](/tools/exa-labs-exa-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/exa-labs-exa-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, exa-mcp-server or cherche? exa-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 exa-mcp-server and cherche? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [exa-mcp-server trust report](/tools/exa-labs-exa-mcp-server/trust); [cherche trust report](/tools/raphaelsty-cherche/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=exa-labs-exa-mcp-server`](/api/graphcanon/graph?tool=exa-labs-exa-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/_