Comparison
web-search-mcp vs deepseek-pp
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.
Markdown twin · web-search-mcp alternatives · deepseek-pp alternatives
GraphCanon updated Sep 20, 2026
10views this month
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Trust & integrity
| Signal | web-search-mcp | deepseek-pp |
|---|---|---|
| Maintenance | Dormant (407d since push) As of Sep 20, 2026 · github_public_v1 | Archived (37d since push) As of Sep 20, 2026 · github_public_v1 |
| Provenance | Not a fork · Personal 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 | No lockfile (source not queried) As of Jul 15, 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
- 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
Stars
- web-search-mcp
- 1.1k
- deepseek-pp
- 1.9k
Forks
- web-search-mcp
- 163
- deepseek-pp
- 253
Open issues
- web-search-mcp
- 38
- deepseek-pp
- 30
Language
- web-search-mcp
- TypeScript
- deepseek-pp
- TypeScript
Adopt for
- web-search-mcp
- 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-pp
- DeepSeek Web provides a versatile browser extension for managing AI agents with powerful tools like MCP integration, memory management, and automated skills.
Persona
- web-search-mcp
- -
- deepseek-pp
- -
Runtime
- web-search-mcp
- -
- deepseek-pp
- -
License
- web-search-mcp
- MIT
- deepseek-pp
- Apache-2.0
Last pushed
- web-search-mcp
- Aug 8, 2025
- deepseek-pp
- Aug 13, 2026
Categories
- web-search-mcp
- Data & Retrieval
- deepseek-pp
- AI Agents, Data & Retrieval
Trust and health
Maintenance
- web-search-mcp
- Dormant (18%)
- deepseek-pp
- Archived (8%)
Days since push
- web-search-mcp
- 407d
- deepseek-pp
- 37d
Archived on GitHub
- web-search-mcp
- No
- deepseek-pp
- Yes
Open issues (now)
- web-search-mcp
- 38
- deepseek-pp
- 30
Stars delta
- web-search-mcp
- +67 (30d)
- deepseek-pp
- +522 (30d)
Open issues delta
- web-search-mcp
- +2 (30d)
- deepseek-pp
- +25 (30d)
Full report
- web-search-mcp
- Trust report
- deepseek-pp
- Trust report
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.
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.
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 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
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (mrkrsl/web-search-mcp) · observed Sep 20, 2026
- GitHub forks (mrkrsl/web-search-mcp) · observed Sep 20, 2026
- Last push (mrkrsl/web-search-mcp) · observed Aug 8, 2025
- License file (MIT) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 15, 2026
- GitHub stars (zhu1090093659/deepseek-pp) · observed Sep 20, 2026
- GitHub forks (zhu1090093659/deepseek-pp) · observed Sep 20, 2026
- Last push (zhu1090093659/deepseek-pp) · observed Aug 13, 2026
- License file (Apache-2.0) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 12, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: web-search-mcp 1.1k · deepseek-pp 1.9k (synced Sep 20, 2026).
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 and deepseek-pp alternatives (web-search-mcp markdown twin, deepseek-pp 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, 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; deepseek-pp trust report.