Comparison
agenticSeek vs linkedin-mcp-server
Verdict
Pick agenticSeek if agenticSeek is a stand-alone AI tool designed to operate locally without the need for external APIs or monthly fees; 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.
Markdown twin · agenticSeek alternatives · linkedin-mcp-server alternatives
GraphCanon updated 1w
vs
Trust & integrity
| Signal | agenticSeek | linkedin-mcp-server |
|---|---|---|
| Maintenance | Very active (5d since push) As of 1w · github_public_v1 | Very active (0d since push) As of 1mo · github_public_v1 |
| Provenance | Not a fork · Personal account As of 1w · github_public_v1 | Not a fork · Personal account As of 1mo · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of 1mo · osv@v1 | No lockfile (source not queried) As of 2w · 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
- agenticSeek
- Fully Local Manus AI. No APIs, No $200 monthly bills.
- linkedin-mcp-server
- Open-source MCP server for LinkedIn enabling access to profiles, companies, jobs, and messages.
Stars
- agenticSeek
- 27k
- linkedin-mcp-server
- 2.9k
Forks
- agenticSeek
- 3.0k
- linkedin-mcp-server
- 497
Open issues
- agenticSeek
- 35
- linkedin-mcp-server
- 85
Language
- agenticSeek
- Python
- linkedin-mcp-server
- Python
Adopt for
- agenticSeek
- agenticSeek is a stand-alone AI tool designed to operate locally without the need for external APIs or monthly fees.
- 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.
Persona
- agenticSeek
- -
- linkedin-mcp-server
- -
Runtime
- agenticSeek
- -
- linkedin-mcp-server
- -
License
- agenticSeek
- GPL-3.0
- linkedin-mcp-server
- Apache-2.0
Last pushed
- agenticSeek
- Aug 11, 2026
- linkedin-mcp-server
- Jul 26, 2026
Categories
- agenticSeek
- AI Agents, LLM Frameworks
- linkedin-mcp-server
- AI Agents, Data & Retrieval
Trust and health
Days since push
- agenticSeek
- 5d
- linkedin-mcp-server
- 0d
Open issues (now)
- agenticSeek
- 35
- linkedin-mcp-server
- 85
Stars delta
- agenticSeek
- +236 (30d)
- linkedin-mcp-server
- Unknown
Open issues delta
- agenticSeek
- +2 (30d)
- linkedin-mcp-server
- Unknown
Full report
- agenticSeek
- Trust report
- linkedin-mcp-server
- Trust report
Choose agenticSeek if…
- License: agenticSeek is GPL-3.0, linkedin-mcp-server is Apache-2.0.
- Pricing: No monthly fees, but users must cover their own hardware costs..
- Requirements: Operates fully on local hardware with Python environment..
- Tags unique to agenticSeek: agentic-ai, agents, autonomous-agents, deepseek-r1.
- Also covers LLM Frameworks.
- - When you require an autonomous agent that can perform tasks independently, such as web browsing and coding, without incurring high costs or relying on third-party services.
When NOT to use agenticSeek
- - Avoid using agenticSeek for projects where interaction with external APIs is essential, as it does not integrate with them and might limit the capabilities you need.
- - It may not be suitable if your team or project requires continuous community support and frequent updates due to its reliance on updates via a single user's Twitter account.
Choose linkedin-mcp-server if…
- License: linkedin-mcp-server is Apache-2.0, agenticSeek is GPL-3.0.
- Tags unique to linkedin-mcp-server: claude-ai, linkedin-api, mcp-server.
- Also covers Data & Retrieval.
- 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
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (Fosowl/agenticSeek) · observed Aug 16, 2026
- GitHub forks (Fosowl/agenticSeek) · observed Aug 16, 2026
- Last push (Fosowl/agenticSeek) · observed Aug 11, 2026
- License file (GPL-3.0) · observed Aug 16, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (stickerdaniel/linkedin-mcp-server) · observed Jul 26, 2026
- GitHub forks (stickerdaniel/linkedin-mcp-server) · observed Jul 26, 2026
- Last push (stickerdaniel/linkedin-mcp-server) · observed Jul 26, 2026
- License file (Apache-2.0) · observed Jul 26, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Aug 9, 2026
GitHub stars on cards: agenticSeek 27k · linkedin-mcp-server 2.9k (synced Aug 16, 2026).
Common questions
- What is the difference between agenticSeek and linkedin-mcp-server?
- agenticSeek: Fully Local Manus AI. No APIs, No $200 monthly bills.. linkedin-mcp-server: Open-source MCP server for LinkedIn enabling access to profiles, companies, jobs, and messages.. See the comparison table for live GitHub stats and shared categories.
- When should I choose agenticSeek over linkedin-mcp-server?
- Choose agenticSeek over linkedin-mcp-server when License: agenticSeek is GPL-3.0, linkedin-mcp-server is Apache-2.0; Pricing: No monthly fees, but users must cover their own hardware costs.; Requirements: Operates fully on local hardware with Python environment.; Tags unique to agenticSeek: agentic-ai, agents, autonomous-agents, deepseek-r1; Also covers LLM Frameworks; - When you require an autonomous agent that can perform tasks independently, such as web browsing and coding, without incurring high costs or relying on third-party services.
- When should I choose linkedin-mcp-server over agenticSeek?
- Choose linkedin-mcp-server over agenticSeek when License: linkedin-mcp-server is Apache-2.0, agenticSeek is GPL-3.0; Tags unique to linkedin-mcp-server: claude-ai, linkedin-api, mcp-server; Also covers Data & Retrieval; To integrate MCP-compatible AI agents like Claude specifically with LinkedIn data for tasks such as job analysis or network augmentation.
- When should I avoid agenticSeek?
- - Avoid using agenticSeek for projects where interaction with external APIs is essential, as it does not integrate with them and might limit the capabilities you need. - It may not be suitable if your team or project requires continuous community support and frequent updates due to its reliance on updates via a single user's Twitter account.
- 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
- Is agenticSeek or linkedin-mcp-server more popular on GitHub?
- agenticSeek has more GitHub stars (26,870 vs 2,907). Stars measure visibility, not whether either tool fits your constraints.
- Are agenticSeek and linkedin-mcp-server open source?
- Yes - both are open-source projects on GitHub (agenticSeek: GPL-3.0, linkedin-mcp-server: Apache-2.0).
- Where can I find alternatives to agenticSeek or linkedin-mcp-server?
- GraphCanon lists graph-backed alternatives at agenticSeek alternatives and linkedin-mcp-server alternatives (agenticSeek markdown twin, linkedin-mcp-server 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, agenticSeek or linkedin-mcp-server?
- agenticSeek: Very active. linkedin-mcp-server: 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 agenticSeek and linkedin-mcp-server?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: agenticSeek trust report; linkedin-mcp-server trust report.