Comparison
linkedin-mcp-server vs agents
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 agents if the agents tool is a marketplace for plugins that enhances multiple AI agents, offering integration and management capabilities across several platforms, including Claude Code, Codex CLI, Cursor, OpenCode, GitHub.
Markdown twin · linkedin-mcp-server alternatives · agents alternatives
GraphCanon updated Sep 20, 2026
13views this month
vs
Trust & integrity
| Signal | linkedin-mcp-server | agents |
|---|---|---|
| Maintenance | Very active (0d since push) As of Sep 20, 2026 · github_public_v1 | Very active (1d 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.
- agents
- Multi-harness agentic plugin marketplace for various AI agents
Stars
- linkedin-mcp-server
- 3.5k
- agents
- 40k
Forks
- linkedin-mcp-server
- 617
- agents
- 4.2k
Open issues
- linkedin-mcp-server
- 187
- agents
- 12
Language
- linkedin-mcp-server
- Python
- agents
- Python
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.
- agents
- The agents tool is a marketplace for plugins that enhances multiple AI agents, offering integration and management capabilities across several platforms, including Claude Code, Codex CLI, Cursor, OpenCode, GitHub Copilot
Persona
- linkedin-mcp-server
- -
- agents
- -
Runtime
- linkedin-mcp-server
- -
- agents
- -
License
- linkedin-mcp-server
- Apache-2.0
- agents
- MIT
Last pushed
- linkedin-mcp-server
- Sep 19, 2026
- agents
- Sep 19, 2026
Categories
- linkedin-mcp-server
- AI Agents, Data & Retrieval
- agents
- AI Agents, Developer Tools
Trust and health
Days since push
- linkedin-mcp-server
- 0d
- agents
- 1d
Open issues (now)
- linkedin-mcp-server
- 187
- agents
- 12
Stars delta
- linkedin-mcp-server
- +641 (30d)
- agents
- +895 (30d)
Open issues delta
- linkedin-mcp-server
- +102 (30d)
- agents
- +7 (30d)
Full report
- linkedin-mcp-server
- Trust report
- agents
- Trust report
Choose linkedin-mcp-server if…
- License: linkedin-mcp-server is Apache-2.0, agents is MIT.
- Tags unique to linkedin-mcp-server: claude-ai, linkedin-api, mcp-server.
- Also covers Data & Retrieval.
- 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 agents if…
- License: agents is MIT, linkedin-mcp-server is Apache-2.0.
- Tags unique to agents: agent-skills, agentic-ai, automation, prompt-engineering.
- Also covers Developer Tools.
- You are working specifically within the ecosystems of Claude Code, Codex CLI, Cursor, OpenCode, GitHub Copilot, or Gemini CLI, as it provides tailored plugins for these environments
When NOT to use agents
- You are working solely within a niche environment that isn't one of the supported platforms (like Claude Code, Codex CLI, etc.) because it may not offer compatible plugins or extensive support
- Your project requirements do not include interoperability between multiple AI agents and you only need to leverage functionalities from a single AI agent with a robust in-built plugin ecosystem
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 (wshobson/agents) · observed Sep 20, 2026
- GitHub forks (wshobson/agents) · observed Sep 20, 2026
- Last push (wshobson/agents) · observed Sep 19, 2026
- License file (MIT) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: linkedin-mcp-server 3.5k · agents 40k (synced Sep 20, 2026).
Common questions
- What is the difference between linkedin-mcp-server and agents?
- linkedin-mcp-server: Open-source MCP server for LinkedIn enabling access to profiles, companies, jobs, and messages.. agents: Multi-harness agentic plugin marketplace for various AI agents. See the comparison table for live GitHub stats and shared categories.
- When should I choose linkedin-mcp-server over agents?
- Choose linkedin-mcp-server over agents when License: linkedin-mcp-server is Apache-2.0, agents is MIT; Tags unique to linkedin-mcp-server: claude-ai, linkedin-api, mcp-server; Also covers Data & Retrieval; 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 agents over linkedin-mcp-server?
- Choose agents over linkedin-mcp-server when License: agents is MIT, linkedin-mcp-server is Apache-2.0; Tags unique to agents: agent-skills, agentic-ai, automation, prompt-engineering; Also covers Developer Tools; You are working specifically within the ecosystems of Claude Code, Codex CLI, Cursor, OpenCode, GitHub Copilot, or Gemini CLI, as it provides tailored plugins for these environments.
- 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 agents?
- You are working solely within a niche environment that isn't one of the supported platforms (like Claude Code, Codex CLI, etc.) because it may not offer compatible plugins or extensive support Your project requirements do not include interoperability between multiple AI agents and you only need to leverage functionalities from a single AI agent with a robust in-built plugin ecosystem
- Is linkedin-mcp-server or agents more popular on GitHub?
- agents has more GitHub stars (39,823 vs 3,548). Stars measure visibility, not whether either tool fits your constraints.
- Are linkedin-mcp-server and agents open source?
- Yes - both are open-source projects on GitHub (linkedin-mcp-server: Apache-2.0, agents: MIT).
- Where can I find alternatives to linkedin-mcp-server or agents?
- GraphCanon lists graph-backed alternatives at linkedin-mcp-server alternatives and agents alternatives (linkedin-mcp-server markdown twin, agents 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 agents?
- linkedin-mcp-server: Very active. agents: Very active. 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 agents?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: linkedin-mcp-server trust report; agents trust report.