---
title: "agent-kit vs linkedin-mcp-server"
type: "comparison"
canonical_url: "https://www.graphcanon.com/compare/keyid-ai-agent-kit-vs-stickerdaniel-linkedin-mcp-server"
tools: ["keyid-ai-agent-kit", "stickerdaniel-linkedin-mcp-server"]
---

# agent-kit vs linkedin-mcp-server

*GraphCanon updated Aug 26, 2026*

## Verdict

Pick agent-kit if agent-kit enables creation of AI agents with the capability to handle email and digital communications through a JavaScript library; 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.

[agent-kit](https://keyid.ai) reports 677 GitHub stars, 10 forks, and 1 open issues, last pushed Mar 13, 2026. [linkedin-mcp-server](https://github.com/stickerdaniel/linkedin-mcp-server) has 3.2k stars, 559 forks, and 150 open issues, last pushed Aug 25, 2026. Figures are from public GitHub metadata via [agent-kit's repository](https://github.com/KeyID-AI/agent-kit) and [linkedin-mcp-server's repository](https://github.com/stickerdaniel/linkedin-mcp-server).

| | [agent-kit](/tools/keyid-ai-agent-kit.md) | [linkedin-mcp-server](/tools/stickerdaniel-linkedin-mcp-server.md) |
| --- | --- | --- |
| Tagline | Give Claude/Cursor email powers with 27 tools | Open-source MCP server for LinkedIn enabling access to profiles, companies, jobs, and messages. |
| Stars | 677 | 3,222 |
| Forks | 10 | 559 |
| Open issues | 1 | 150 |
| Language | JavaScript | Python |
| Adopt for | Agent-kit enables creation of AI agents with the capability to handle email and digital communications through a JavaScript library. | 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 | - | - |
| Runtime | - | - |
| License | - | Apache-2.0 |
| Categories | AI Agents | AI Agents, Data & Retrieval |

## Trust and health

_Sourced signals - not a safety guarantee. No winner column._

| | [agent-kit](/tools/keyid-ai-agent-kit.md) | [linkedin-mcp-server](/tools/stickerdaniel-linkedin-mcp-server.md) |
| --- | --- | --- |
| Maintenance | Slowing (36%) | Very active (96%) |
| Days since push | 136d | 0d |
| Open issues (now) | 1 | 150 |
| Stars delta | Unknown | +315 (30d) |
| Open issues delta | Unknown | +65 (30d) |
| Owner type | Organization | User |
| Full report | [trust report](/tools/keyid-ai-agent-kit/trust.md) | [trust report](/tools/stickerdaniel-linkedin-mcp-server/trust.md) |

## Decision facts: agent-kit

- **Adopt for:** Agent-kit enables creation of AI agents with the capability to handle email and digital communications through a JavaScript library.

## Decision facts: linkedin-mcp-server

- **Adopt for:** 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.

## Choose when

### Choose agent-kit if…

- agent-kit is primarily JavaScript; linkedin-mcp-server is Python.
- Tags unique to agent-kit: agent, ai-agent, claude, email.
- If you are working on an AI project that requires interaction with email services and other communication methods, such as SMS, using Claude or Cursor.

### Choose linkedin-mcp-server if…

- linkedin-mcp-server is primarily Python; agent-kit is JavaScript.
- 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 agent-kit

- If your project language does not align with JavaScript, considering that Agent-kit specifically requires JavaScript for its implementation.
- For scenarios where strict tool licensing and version control are critical since the license information for this library is unknown.

## 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

## Common questions

### What is the difference between agent-kit and linkedin-mcp-server?

agent-kit: Give Claude/Cursor email powers with 27 tools. 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 agent-kit over linkedin-mcp-server?

Choose agent-kit over linkedin-mcp-server when agent-kit is primarily JavaScript; linkedin-mcp-server is Python; Tags unique to agent-kit: agent, ai-agent, claude, email; If you are working on an AI project that requires interaction with email services and other communication methods, such as SMS, using Claude or Cursor.

### When should I choose linkedin-mcp-server over agent-kit?

Choose linkedin-mcp-server over agent-kit when linkedin-mcp-server is primarily Python; agent-kit is JavaScript; 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 avoid agent-kit?

If your project language does not align with JavaScript, considering that Agent-kit specifically requires JavaScript for its implementation. For scenarios where strict tool licensing and version control are critical since the license information for this library is unknown.

### 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 agent-kit or linkedin-mcp-server more popular on GitHub?

linkedin-mcp-server has more GitHub stars (3,222 vs 677). Stars measure visibility, not whether either tool fits your constraints.

### Are agent-kit and linkedin-mcp-server open source?

Yes - both are open-source projects on GitHub.

### Where can I find alternatives to agent-kit or linkedin-mcp-server?

GraphCanon lists graph-backed alternatives at [agent-kit alternatives](/tools/keyid-ai-agent-kit/alternatives) and [linkedin-mcp-server alternatives](/tools/stickerdaniel-linkedin-mcp-server/alternatives) ([agent-kit markdown twin](/tools/keyid-ai-agent-kit/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/keyid-ai-agent-kit-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, agent-kit or linkedin-mcp-server?

agent-kit: Slowing. 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 agent-kit and linkedin-mcp-server?

GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [agent-kit trust report](/tools/keyid-ai-agent-kit/trust); [linkedin-mcp-server trust report](/tools/stickerdaniel-linkedin-mcp-server/trust).

---

**Machine-readable endpoints**

- JSON: [`/api/graphcanon/graph?tool=keyid-ai-agent-kit`](/api/graphcanon/graph?tool=keyid-ai-agent-kit)
- 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/_
