--- title: "awesome-ai-web-search vs web-search-mcp" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/felladrin-awesome-ai-web-search-vs-mrkrsl-web-search-mcp" tools: ["felladrin-awesome-ai-web-search", "mrkrsl-web-search-mcp"] --- # awesome-ai-web-search vs web-search-mcp *GraphCanon updated Sep 20, 2026* ## Verdict Pick awesome-ai-web-search if a curated HTML list of AI-powered web search tools under CC0-1.0 license; pick web-search-mcp if web-search-mcp is a locally hosted Web Search MCP server implemented in TypeScript and licensed under MIT for use with local language models. [awesome-ai-web-search](https://hf.co/spaces/felladrin/awesome-ai-web-search) reports 1.4k GitHub stars, 129 forks, and 0 open issues, last pushed Sep 9, 2026. [web-search-mcp](https://github.com/mrkrsl/web-search-mcp) has 1.1k stars, 163 forks, and 38 open issues, last pushed Aug 8, 2025. Figures are from public GitHub metadata via [awesome-ai-web-search's repository](https://github.com/felladrin/awesome-ai-web-search) and [web-search-mcp's repository](https://github.com/mrkrsl/web-search-mcp). | | [awesome-ai-web-search](/tools/felladrin-awesome-ai-web-search.md) | [web-search-mcp](/tools/mrkrsl-web-search-mcp.md) | | --- | --- | --- | | Tagline | List of AI-assisted web search software | A locally hosted Web Search MCP server compatible with Local LLMs | | Stars | 1,446 | 1,146 | | Forks | 129 | 163 | | Open issues | 0 | 38 | | Language | HTML | TypeScript | | Adopt for | A curated HTML list of AI-powered web search tools under CC0-1.0 license. | web-search-mcp is a locally hosted Web Search MCP server implemented in TypeScript and licensed under MIT for use with local language models. | | Persona | - | - | | Runtime | - | - | | License | CC0-1.0 | MIT | | Categories | Data & Retrieval, Evaluation & Observability | Data & Retrieval | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [awesome-ai-web-search](/tools/felladrin-awesome-ai-web-search.md) | [web-search-mcp](/tools/mrkrsl-web-search-mcp.md) | | --- | --- | --- | | Maintenance | Active (82%) | Dormant (18%) | | Days since push | 10d | 407d | | Open issues (now) | 0 | 38 | | Stars delta | +55 (30d) | +67 (30d) | | Open issues delta | 0 (30d) | +2 (30d) | | Full report | [trust report](/tools/felladrin-awesome-ai-web-search/trust.md) | [trust report](/tools/mrkrsl-web-search-mcp/trust.md) | ## Decision facts: awesome-ai-web-search - **Adopt for:** A curated HTML list of AI-powered web search tools under CC0-1.0 license. ## Decision facts: web-search-mcp - **Requirements:** Requires a local language model to operate effectively. - **Adopt for:** web-search-mcp is a locally hosted Web Search MCP server implemented in TypeScript and licensed under MIT for use with local language models. ## Choose when ### Choose awesome-ai-web-search if… - awesome-ai-web-search is primarily HTML; web-search-mcp is TypeScript. - License: awesome-ai-web-search is CC0-1.0, web-search-mcp is MIT. - Tags unique to awesome-ai-web-search: ai-search-engine, information retrieval, metasearch, question-answering. - Also covers Evaluation & Observability. - Need a comprehensive overview of AI-assisted web search options without code integration ### Choose web-search-mcp if… - web-search-mcp is primarily TypeScript; awesome-ai-web-search is HTML. - License: web-search-mcp is MIT, awesome-ai-web-search is CC0-1.0. - Requirements: Requires a local language model to operate effectively.. - Tags unique to web-search-mcp: llm, lmstudio, local-llm, mcp. - web-search-mcp ships an MCP server manifest. - Use web-search-mcp when you need a lightweight, locally-hosted solution that integrates seamlessly with existing local language models without requiring cloud services. ## When NOT to use awesome-ai-web-search - Requiring direct API access or integrations with specific AI search tools - Looking for a live, interactive AI web search service rather than a resource listing - Need tool evaluations or comparative analysis instead of just project listings ## When NOT to use web-search-mcp - Avoid using web-search-mcp when your application demands the robustness and scalability that come with third-party hosted or cloud-based web search services. - Do not use if real-time updates or dynamic content from external sources are essential, as the tool focuses on local resources. ## Common questions ### What is the difference between awesome-ai-web-search and web-search-mcp? awesome-ai-web-search: List of AI-assisted web search software. web-search-mcp: A locally hosted Web Search MCP server compatible with Local LLMs. See the comparison table for live GitHub stats and shared categories. ### When should I choose awesome-ai-web-search over web-search-mcp? Choose awesome-ai-web-search over web-search-mcp when awesome-ai-web-search is primarily HTML; web-search-mcp is TypeScript; License: awesome-ai-web-search is CC0-1.0, web-search-mcp is MIT; Tags unique to awesome-ai-web-search: ai-search-engine, information retrieval, metasearch, question-answering; Also covers Evaluation & Observability; Need a comprehensive overview of AI-assisted web search options without code integration. ### When should I choose web-search-mcp over awesome-ai-web-search? Choose web-search-mcp over awesome-ai-web-search when web-search-mcp is primarily TypeScript; awesome-ai-web-search is HTML; License: web-search-mcp is MIT, awesome-ai-web-search is CC0-1.0; Requirements: Requires a local language model to operate effectively.; Tags unique to web-search-mcp: llm, lmstudio, local-llm, mcp; web-search-mcp ships an MCP server manifest; Use web-search-mcp when you need a lightweight, locally-hosted solution that integrates seamlessly with existing local language models without requiring cloud services. ### When should I avoid awesome-ai-web-search? Requiring direct API access or integrations with specific AI search tools Looking for a live, interactive AI web search service rather than a resource listing Need tool evaluations or comparative analysis instead of just project listings ### When should I avoid web-search-mcp? Avoid using web-search-mcp when your application demands the robustness and scalability that come with third-party hosted or cloud-based web search services. Do not use if real-time updates or dynamic content from external sources are essential, as the tool focuses on local resources. ### Is awesome-ai-web-search or web-search-mcp more popular on GitHub? awesome-ai-web-search has more GitHub stars (1,446 vs 1,146). Stars measure visibility, not whether either tool fits your constraints. ### Are awesome-ai-web-search and web-search-mcp open source? Yes - both are open-source projects on GitHub (awesome-ai-web-search: CC0-1.0, web-search-mcp: MIT). ### Where can I find alternatives to awesome-ai-web-search or web-search-mcp? GraphCanon lists graph-backed alternatives at [awesome-ai-web-search alternatives](/tools/felladrin-awesome-ai-web-search/alternatives) and [web-search-mcp alternatives](/tools/mrkrsl-web-search-mcp/alternatives) ([awesome-ai-web-search markdown twin](/tools/felladrin-awesome-ai-web-search/alternatives.md), [web-search-mcp markdown twin](/tools/mrkrsl-web-search-mcp/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/felladrin-awesome-ai-web-search-vs-mrkrsl-web-search-mcp.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, awesome-ai-web-search or web-search-mcp? awesome-ai-web-search: Active. web-search-mcp: 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 awesome-ai-web-search and web-search-mcp? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [awesome-ai-web-search trust report](/tools/felladrin-awesome-ai-web-search/trust); [web-search-mcp trust report](/tools/mrkrsl-web-search-mcp/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=felladrin-awesome-ai-web-search`](/api/graphcanon/graph?tool=felladrin-awesome-ai-web-search) - 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/_