--- title: "web-search-mcp vs deepseek-pp" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/mrkrsl-web-search-mcp-vs-zhu1090093659-deepseek-pp" tools: ["mrkrsl-web-search-mcp", "zhu1090093659-deepseek-pp"] --- # web-search-mcp vs deepseek-pp *GraphCanon updated Sep 20, 2026* ## Verdict 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; pick deepseek-pp if deepSeek Web provides a versatile browser extension for managing AI agents with powerful tools like MCP integration, memory management, and automated skills. [web-search-mcp](https://github.com/mrkrsl/web-search-mcp) reports 1.1k GitHub stars, 163 forks, and 38 open issues, last pushed Aug 8, 2025. [deepseek-pp](https://chromewebstore.google.com/detail/deepseek++/kdmpkkahkhdmdhfkdihkopikgcocbpbf?hl=zh-CN&authuser=0) has 1.9k stars, 253 forks, and 30 open issues, last pushed Aug 13, 2026. Figures are from public GitHub metadata via [web-search-mcp's repository](https://github.com/mrkrsl/web-search-mcp) and [deepseek-pp's repository](https://github.com/zhu1090093659/deepseek-pp). | | [web-search-mcp](/tools/mrkrsl-web-search-mcp.md) | [deepseek-pp](/tools/zhu1090093659-deepseek-pp.md) | | --- | --- | --- | | Tagline | A locally hosted Web Search MCP server compatible with Local LLMs | AI agent workspace with tools for automation and interaction | | Stars | 1,146 | 1,872 | | Forks | 163 | 253 | | Open issues | 38 | 30 | | Language | TypeScript | TypeScript | | 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. | DeepSeek Web provides a versatile browser extension for managing AI agents with powerful tools like MCP integration, memory management, and automated skills. | | Persona | - | - | | Runtime | - | - | | License | MIT | Apache-2.0 | | Categories | Data & Retrieval | AI Agents, Data & Retrieval | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [web-search-mcp](/tools/mrkrsl-web-search-mcp.md) | [deepseek-pp](/tools/zhu1090093659-deepseek-pp.md) | | --- | --- | --- | | Maintenance | Dormant (18%) | Archived (8%) | | Days since push | 407d | 37d | | Archived on GitHub | No | Yes | | Open issues (now) | 38 | 30 | | Stars delta | +67 (30d) | +522 (30d) | | Open issues delta | +2 (30d) | +25 (30d) | | Full report | [trust report](/tools/mrkrsl-web-search-mcp/trust.md) | [trust report](/tools/zhu1090093659-deepseek-pp/trust.md) | ## 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. ## Decision facts: deepseek-pp - **Adopt for:** DeepSeek Web provides a versatile browser extension for managing AI agents with powerful tools like MCP integration, memory management, and automated skills. ## Choose when ### Choose web-search-mcp if… - License: web-search-mcp is MIT, deepseek-pp is Apache-2.0. - 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. ### Choose deepseek-pp if… - License: deepseek-pp is Apache-2.0, web-search-mcp is MIT. - Tags unique to deepseek-pp: agentic-ai, ai-agent, ai-memory, automation. - Also covers AI Agents. - Need a browser-based AI agent environment with MCP (Model Context Protocol) support ## 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. ## When NOT to use deepseek-pp - Simpler use-cases that don’t require extensive tool integrations or complex memory features - If you need custom extensions for browsers other than Chrome, Edge, or Firefox as supported by DeepSeek Web ## Common questions ### What is the difference between web-search-mcp and deepseek-pp? web-search-mcp: A locally hosted Web Search MCP server compatible with Local LLMs. deepseek-pp: AI agent workspace with tools for automation and interaction. See the comparison table for live GitHub stats and shared categories. ### When should I choose web-search-mcp over deepseek-pp? Choose web-search-mcp over deepseek-pp when License: web-search-mcp is MIT, deepseek-pp is Apache-2.0; 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 choose deepseek-pp over web-search-mcp? Choose deepseek-pp over web-search-mcp when License: deepseek-pp is Apache-2.0, web-search-mcp is MIT; Tags unique to deepseek-pp: agentic-ai, ai-agent, ai-memory, automation; Also covers AI Agents; Need a browser-based AI agent environment with MCP (Model Context Protocol) support. ### 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. ### When should I avoid deepseek-pp? Simpler use-cases that don’t require extensive tool integrations or complex memory features If you need custom extensions for browsers other than Chrome, Edge, or Firefox as supported by DeepSeek Web ### Is web-search-mcp or deepseek-pp more popular on GitHub? deepseek-pp has more GitHub stars (1,872 vs 1,146). Stars measure visibility, not whether either tool fits your constraints. ### Are web-search-mcp and deepseek-pp open source? Yes - both are open-source projects on GitHub (web-search-mcp: MIT, deepseek-pp: Apache-2.0). ### Where can I find alternatives to web-search-mcp or deepseek-pp? GraphCanon lists graph-backed alternatives at [web-search-mcp alternatives](/tools/mrkrsl-web-search-mcp/alternatives) and [deepseek-pp alternatives](/tools/zhu1090093659-deepseek-pp/alternatives) ([web-search-mcp markdown twin](/tools/mrkrsl-web-search-mcp/alternatives.md), [deepseek-pp markdown twin](/tools/zhu1090093659-deepseek-pp/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/mrkrsl-web-search-mcp-vs-zhu1090093659-deepseek-pp.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, web-search-mcp or deepseek-pp? web-search-mcp: Dormant. deepseek-pp: Archived. 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 web-search-mcp and deepseek-pp? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [web-search-mcp trust report](/tools/mrkrsl-web-search-mcp/trust); [deepseek-pp trust report](/tools/zhu1090093659-deepseek-pp/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=mrkrsl-web-search-mcp`](/api/graphcanon/graph?tool=mrkrsl-web-search-mcp) - 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/_