Comparison
askimo vs linkedin-mcp-server
Verdict
Pick askimo when askimo is primarily Kotlin; linkedin-mcp-server is Python; pick linkedin-mcp-server when linkedin-mcp-server is primarily Python; askimo is Kotlin.
Markdown twin · askimo alternatives · linkedin-mcp-server alternatives
GraphCanon updated Sep 20, 2026
16views this month
vs
Trust & integrity
| Signal | askimo | linkedin-mcp-server |
|---|---|---|
| Maintenance | Very active (0d since push) As of Sep 20, 2026 · github_public_v1 | Very active (0d since push) As of Sep 20, 2026 · github_public_v1 |
| Provenance | Not a fork · Organization 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 Aug 9, 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
- askimo
- AI Client for chat, RAG, and agents with multi-provider model support.
- linkedin-mcp-server
- Open-source MCP server for LinkedIn enabling access to profiles, companies, jobs, and messages.
Stars
- askimo
- 485
- linkedin-mcp-server
- 3.5k
Forks
- askimo
- 100
- linkedin-mcp-server
- 617
Open issues
- askimo
- 15
- linkedin-mcp-server
- 187
Language
- askimo
- Kotlin
- linkedin-mcp-server
- Python
Adopt for
- askimo
- -
- 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
- askimo
- -
- linkedin-mcp-server
- -
Runtime
- askimo
- -
- linkedin-mcp-server
- -
License
- askimo
- AGPL-3.0
- linkedin-mcp-server
- Apache-2.0
Last pushed
- askimo
- Sep 20, 2026
- linkedin-mcp-server
- Sep 19, 2026
Categories
- askimo
- AI Agents, Data & Retrieval
- linkedin-mcp-server
- AI Agents, Data & Retrieval
Trust and health
Open issues (now)
- askimo
- 15
- linkedin-mcp-server
- 187
Stars delta
- askimo
- +167 (30d)
- linkedin-mcp-server
- +641 (30d)
Open issues delta
- askimo
- -4 (30d)
- linkedin-mcp-server
- +102 (30d)
Owner type
- askimo
- Organization
- linkedin-mcp-server
- User
Full report
- askimo
- Trust report
- linkedin-mcp-server
- Trust report
Choose askimo if…
- askimo is primarily Kotlin; linkedin-mcp-server is Python.
- License: askimo is AGPL-3.0, linkedin-mcp-server is Apache-2.0.
- Pricing: The pricing information on the Askimo repository is not specified..
- Tags unique to askimo: agentic-workflow, ai-assistant, artificial-intelligence, chat-client.
- Use for Kotlin developers who need to integrate chat and AI agents with multi-provider support including Claude, Codex, Gemini, and OpenAI.
When NOT to use askimo
- Avoid if you require a solution that supports languages other than Kotlin, as Askimo is exclusively built for Kotlin environments.
- Not suitable if your project has strict licensing requirements and requires proprietary code, due to its AGPL-3.0 license which might impose restrictions.
Choose linkedin-mcp-server if…
- linkedin-mcp-server is primarily Python; askimo is Kotlin.
- License: linkedin-mcp-server is Apache-2.0, askimo is AGPL-3.0.
- 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
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (askimo-ai/askimo) · observed Sep 20, 2026
- GitHub forks (askimo-ai/askimo) · observed Sep 20, 2026
- Last push (askimo-ai/askimo) · observed Sep 20, 2026
- License file (AGPL-3.0) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 15, 2026
- 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 on cards: askimo 485 · linkedin-mcp-server 3.5k (synced Sep 20, 2026).
Common questions
- What is the difference between askimo and linkedin-mcp-server?
- askimo: AI Client for chat, RAG, and agents with multi-provider model support.. 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 askimo over linkedin-mcp-server?
- Choose askimo over linkedin-mcp-server when askimo is primarily Kotlin; linkedin-mcp-server is Python; License: askimo is AGPL-3.0, linkedin-mcp-server is Apache-2.0; Pricing: The pricing information on the Askimo repository is not specified.; Tags unique to askimo: agentic-workflow, ai-assistant, artificial-intelligence, chat-client; Use for Kotlin developers who need to integrate chat and AI agents with multi-provider support including Claude, Codex, Gemini, and OpenAI.
- When should I choose linkedin-mcp-server over askimo?
- Choose linkedin-mcp-server over askimo when linkedin-mcp-server is primarily Python; askimo is Kotlin; License: linkedin-mcp-server is Apache-2.0, askimo is AGPL-3.0; 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 avoid askimo?
- Avoid if you require a solution that supports languages other than Kotlin, as Askimo is exclusively built for Kotlin environments. Not suitable if your project has strict licensing requirements and requires proprietary code, due to its AGPL-3.0 license which might impose restrictions.
- 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 askimo or linkedin-mcp-server more popular on GitHub?
- linkedin-mcp-server has more GitHub stars (3,548 vs 485). Stars measure visibility, not whether either tool fits your constraints.
- Are askimo and linkedin-mcp-server open source?
- Yes - both are open-source projects on GitHub (askimo: AGPL-3.0, linkedin-mcp-server: Apache-2.0).
- Where can I find alternatives to askimo or linkedin-mcp-server?
- GraphCanon lists graph-backed alternatives at askimo alternatives and linkedin-mcp-server alternatives (askimo 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, askimo or linkedin-mcp-server?
- askimo: 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 askimo and linkedin-mcp-server?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: askimo trust report; linkedin-mcp-server trust report.