Comparison
linkedin-mcp-server vs deepseek-pp
Verdict
Pick linkedin-mcp-server if linkedin-mcp-server is an open-source MCP server for LinkedIn that supports integration with various AI agents like Claude, offering access to profiles, companies, jobs, and messages; 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 · linkedin-mcp-server alternatives · deepseek-pp alternatives
GraphCanon updated Sep 20, 2026
14views this month
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Trust & integrity
| Signal | linkedin-mcp-server | deepseek-pp |
|---|---|---|
| Maintenance | Very active (0d 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 Aug 9, 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
- linkedin-mcp-server
- Open-source MCP server for LinkedIn enabling access to profiles, companies, jobs, and messages.
- deepseek-pp
- AI agent workspace with tools for automation and interaction
Stars
- linkedin-mcp-server
- 3.5k
- deepseek-pp
- 1.9k
Forks
- linkedin-mcp-server
- 617
- deepseek-pp
- 253
Open issues
- linkedin-mcp-server
- 187
- deepseek-pp
- 30
Language
- linkedin-mcp-server
- Python
- deepseek-pp
- TypeScript
Adopt for
- linkedin-mcp-server
- linkedin-mcp-server is an open-source MCP server for LinkedIn that supports integration with various AI agents like Claude, offering access to profiles, companies, jobs, and messages.
- 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
- linkedin-mcp-server
- -
- deepseek-pp
- -
Runtime
- linkedin-mcp-server
- -
- deepseek-pp
- -
License
- linkedin-mcp-server
- Apache-2.0
- deepseek-pp
- Apache-2.0
Last pushed
- linkedin-mcp-server
- Sep 19, 2026
- deepseek-pp
- Aug 13, 2026
Categories
- linkedin-mcp-server
- AI Agents, Data & Retrieval
- deepseek-pp
- AI Agents, Data & Retrieval
Trust and health
Maintenance
- linkedin-mcp-server
- Very active (96%)
- deepseek-pp
- Archived (8%)
Days since push
- linkedin-mcp-server
- 0d
- deepseek-pp
- 37d
Archived on GitHub
- linkedin-mcp-server
- No
- deepseek-pp
- Yes
Open issues (now)
- linkedin-mcp-server
- 187
- deepseek-pp
- 30
Stars delta
- linkedin-mcp-server
- +641 (30d)
- deepseek-pp
- +522 (30d)
Open issues delta
- linkedin-mcp-server
- +102 (30d)
- deepseek-pp
- +25 (30d)
Full report
- linkedin-mcp-server
- Trust report
- deepseek-pp
- Trust report
Choose linkedin-mcp-server if…
- linkedin-mcp-server is primarily Python; deepseek-pp is TypeScript.
- Tags unique to linkedin-mcp-server: claude-ai, linkedin-api, mcp-server.
- linkedin-mcp-server ships Docker support for self-hosted deployment.
- To integrate MCP-compatible AI agents like Claude specifically with LinkedIn data for tasks such as job analysis or network augmentation
When NOT to use linkedin-mcp-server
- If your project requires a proprietary solution that does not need open-source contributions
- For platforms or projects where support for the Model Context Protocol (MCP) is unnecessary or incompatible with existing workflows
Choose deepseek-pp if…
- deepseek-pp is primarily TypeScript; linkedin-mcp-server is Python.
- Tags unique to deepseek-pp: agentic-ai, ai-agent, ai-memory, automation.
- 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 (stickerdaniel/linkedin-mcp-server) · observed Sep 20, 2026
- GitHub forks (stickerdaniel/linkedin-mcp-server) · observed Sep 20, 2026
- Last push (stickerdaniel/linkedin-mcp-server) · observed Sep 19, 2026
- License file (Apache-2.0) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Aug 9, 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: linkedin-mcp-server 3.5k · deepseek-pp 1.9k (synced Sep 20, 2026).
Common questions
- What is the difference between linkedin-mcp-server and deepseek-pp?
- linkedin-mcp-server: Open-source MCP server for LinkedIn enabling access to profiles, companies, jobs, and messages.. 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 linkedin-mcp-server over deepseek-pp?
- Choose linkedin-mcp-server over deepseek-pp when linkedin-mcp-server is primarily Python; deepseek-pp is TypeScript; Tags unique to linkedin-mcp-server: claude-ai, linkedin-api, mcp-server; linkedin-mcp-server ships Docker support for self-hosted deployment; To integrate MCP-compatible AI agents like Claude specifically with LinkedIn data for tasks such as job analysis or network augmentation.
- When should I choose deepseek-pp over linkedin-mcp-server?
- Choose deepseek-pp over linkedin-mcp-server when deepseek-pp is primarily TypeScript; linkedin-mcp-server is Python; Tags unique to deepseek-pp: agentic-ai, ai-agent, ai-memory, automation; Need a browser-based AI agent environment with MCP (Model Context Protocol) support.
- When should I avoid linkedin-mcp-server?
- If your project requires a proprietary solution that does not need open-source contributions For platforms or projects where support for the Model Context Protocol (MCP) is unnecessary or incompatible with existing workflows
- 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 linkedin-mcp-server or deepseek-pp more popular on GitHub?
- linkedin-mcp-server has more GitHub stars (3,548 vs 1,872). Stars measure visibility, not whether either tool fits your constraints.
- Are linkedin-mcp-server and deepseek-pp open source?
- Yes - both are open-source projects on GitHub (linkedin-mcp-server: Apache-2.0, deepseek-pp: Apache-2.0).
- Where can I find alternatives to linkedin-mcp-server or deepseek-pp?
- GraphCanon lists graph-backed alternatives at linkedin-mcp-server alternatives and deepseek-pp alternatives (linkedin-mcp-server 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, linkedin-mcp-server or deepseek-pp?
- linkedin-mcp-server: Very active. 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 linkedin-mcp-server and deepseek-pp?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: linkedin-mcp-server trust report; deepseek-pp trust report.