--- title: "oh-my-openagent vs linkedin-mcp-server" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/code-yeongyu-oh-my-openagent-vs-stickerdaniel-linkedin-mcp-server" tools: ["code-yeongyu-oh-my-openagent", "stickerdaniel-linkedin-mcp-server"] --- # oh-my-openagent vs linkedin-mcp-server *GraphCanon updated Jul 11, 2026* ## Verdict Pick oh-my-openagent when oh-my-openagent is primarily TypeScript; linkedin-mcp-server is Python; pick linkedin-mcp-server when linkedin-mcp-server is primarily Python; oh-my-openagent is TypeScript. [oh-my-openagent](https://omo.dev) reports 66k GitHub stars, 5.3k forks, and 876 open issues, last pushed Jul 11, 2026. [linkedin-mcp-server](https://github.com/stickerdaniel/linkedin-mcp-server) has 2.7k stars, 475 forks, and 90 open issues, last pushed Jul 10, 2026. Figures are from public GitHub metadata via [oh-my-openagent's repository](https://github.com/code-yeongyu/oh-my-openagent) and [linkedin-mcp-server's repository](https://github.com/stickerdaniel/linkedin-mcp-server). | | [oh-my-openagent](/tools/code-yeongyu-oh-my-openagent.md) | [linkedin-mcp-server](/tools/stickerdaniel-linkedin-mcp-server.md) | | --- | --- | --- | | Tagline | A coding agent for complex codebases, supporting multiple AI agents like ChatGPT and Claude. | Open-source MCP server for LinkedIn. Give Claude and any MCP-compatible AI agent access to profiles, companies, jobs, and messages. | | Stars | 65,526 | 2,741 | | Forks | 5,344 | 475 | | Open issues | 876 | 90 | | Language | TypeScript | Python | | Adopt for | Decisive facts about oh-my-openagent. | - | | Persona | - | - | | Runtime | - | - | | License | Other | Apache-2.0 | | Categories | AI Agents, Developer Tools | AI Agents, Developer Tools | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [oh-my-openagent](/tools/code-yeongyu-oh-my-openagent.md) | [linkedin-mcp-server](/tools/stickerdaniel-linkedin-mcp-server.md) | | --- | --- | --- | | Days since push | 0d | 1d | | Open issues (now) | 876 | 90 | | Security scan | No lockfile | No MCP manifest | | Full report | [trust report](/tools/code-yeongyu-oh-my-openagent/trust.md) | [trust report](/tools/stickerdaniel-linkedin-mcp-server/trust.md) | ## Decision facts: oh-my-openagent - **Adopt for:** Decisive facts about oh-my-openagent. ## Choose when ### Choose oh-my-openagent if… - oh-my-openagent is primarily TypeScript; linkedin-mcp-server is Python. - License: oh-my-openagent is Other, linkedin-mcp-server is Apache-2.0. - Tags unique to oh-my-openagent: ai, codex, typescript. - oh-my-openagent ships an MCP server manifest. - When working with complex codebases and requiring integration with multiple AI systems like Anthropic, ChatGPT, and Claude for better code orchestration and lifecycle hook management. ### Choose linkedin-mcp-server if… - linkedin-mcp-server is primarily Python; oh-my-openagent is TypeScript. - License: linkedin-mcp-server is Apache-2.0, oh-my-openagent is Other. - Tags unique to linkedin-mcp-server: chatgpt-desktop, claude-ai, claude-code, claude-desktop. ## When NOT to use oh-my-openagent - When your project is not reliant on AI integration or complex orchestration capabilities. For simpler codebases, its advanced features may be overkill. - If your development environment does not support TypeScript or if you are exclusively working with Codex CLI and prefer a less integrated solution, opting for another tool could be more suitable since ## When NOT to use linkedin-mcp-server - AI Agents: Don't use an agent loop when a deterministic workflow would do; agents add latency, cost, and non-determinism. - Developer Tools: A gateway is overkill when you're pinned to a single provider and model. ## Common questions ### What is the difference between oh-my-openagent and linkedin-mcp-server? oh-my-openagent: A coding agent for complex codebases, supporting multiple AI agents like ChatGPT and Claude.. linkedin-mcp-server: Open-source MCP server for LinkedIn. Give Claude and any MCP-compatible AI agent access to profiles, companies, jobs, and messages.. See the comparison table for live GitHub stats and shared categories. ### When should I choose oh-my-openagent over linkedin-mcp-server? Choose oh-my-openagent over linkedin-mcp-server when oh-my-openagent is primarily TypeScript; linkedin-mcp-server is Python; License: oh-my-openagent is Other, linkedin-mcp-server is Apache-2.0; Tags unique to oh-my-openagent: ai, codex, typescript; oh-my-openagent ships an MCP server manifest; When working with complex codebases and requiring integration with multiple AI systems like Anthropic, ChatGPT, and Claude for better code orchestration and lifecycle hook management. ### When should I choose linkedin-mcp-server over oh-my-openagent? Choose linkedin-mcp-server over oh-my-openagent when linkedin-mcp-server is primarily Python; oh-my-openagent is TypeScript; License: linkedin-mcp-server is Apache-2.0, oh-my-openagent is Other; Tags unique to linkedin-mcp-server: chatgpt-desktop, claude-ai, claude-code, claude-desktop. ### When should I avoid oh-my-openagent? When your project is not reliant on AI integration or complex orchestration capabilities. For simpler codebases, its advanced features may be overkill. If your development environment does not support TypeScript or if you are exclusively working with Codex CLI and prefer a less integrated solution, opting for another tool could be more suitable since ### When should I avoid linkedin-mcp-server? AI Agents: Don't use an agent loop when a deterministic workflow would do; agents add latency, cost, and non-determinism. Developer Tools: A gateway is overkill when you're pinned to a single provider and model. ### Is oh-my-openagent or linkedin-mcp-server more popular on GitHub? oh-my-openagent has more GitHub stars (65,526 vs 2,741). Stars measure visibility, not whether either tool fits your constraints. ### Are oh-my-openagent and linkedin-mcp-server open source? Yes - both are open-source projects on GitHub (oh-my-openagent: Other, linkedin-mcp-server: Apache-2.0). ### Where can I find alternatives to oh-my-openagent or linkedin-mcp-server? GraphCanon lists graph-backed alternatives at [oh-my-openagent alternatives](/tools/code-yeongyu-oh-my-openagent/alternatives) and [linkedin-mcp-server alternatives](/tools/stickerdaniel-linkedin-mcp-server/alternatives) ([oh-my-openagent markdown twin](/tools/code-yeongyu-oh-my-openagent/alternatives.md), [linkedin-mcp-server markdown twin](/tools/stickerdaniel-linkedin-mcp-server/alternatives.md)), 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](/compare/code-yeongyu-oh-my-openagent-vs-stickerdaniel-linkedin-mcp-server.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, oh-my-openagent or linkedin-mcp-server? oh-my-openagent: 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 oh-my-openagent and linkedin-mcp-server? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [oh-my-openagent trust report](/tools/code-yeongyu-oh-my-openagent/trust); [linkedin-mcp-server trust report](/tools/stickerdaniel-linkedin-mcp-server/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=code-yeongyu-oh-my-openagent`](/api/graphcanon/graph?tool=code-yeongyu-oh-my-openagent) - LLM index: [/llms.txt](/llms.txt) - Full corpus: [/llms-full.txt](/llms-full.txt) _GraphCanon - The knowledge graph for AI development. https://www.graphcanon.com/_