mcp-linkedin

An MCP (Model Context Protocol) server that exposes tools to interact with LinkedIn Feeds and LinkedIn Jobs using an unofficial LinkedIn API wrapper.

Evaluated Mar 30, 2026 (21d ago)
Repo ↗ Ai Ml mcp linkedin agents feeds jobs python
⚙ Agent Friendliness
37
/ 100
Can an agent use this?
🔒 Security
39
/ 100
Is it safe for agents?
⚡ Reliability
22
/ 100
Does it work consistently?

Score Breakdown

⚙ Agent Friendliness

MCP Quality
55
Documentation
45
Error Messages
0
Auth Simplicity
35
Rate Limits
10

🔒 Security

TLS Enforcement
70
Auth Strength
30
Scope Granularity
10
Dep. Hygiene
55
Secret Handling
35

Credentials are supplied via env vars (good practice versus hard-coding), but the approach still involves handling high-privilege LinkedIn username/password for unofficial scraping/automation. The README does not describe secret redaction/logging behavior, secure storage, or mitigation for upstream credential/rate-limit risks.

⚡ Reliability

Uptime/SLA
0
Version Stability
35
Breaking Changes
30
Error Recovery
25
AF Security Reliability

Best When

You need MCP tool access to LinkedIn feed/job data for an agent workflow and can accept the risks of using an unofficial API.

Avoid When

You require strict compliance guarantees, strong uptime SLAs, or highly reliable long-term API stability.

Use Cases

  • • Retrieving recent LinkedIn feed posts for research or content monitoring
  • • Searching for LinkedIn jobs by keywords and location
  • • Building agent workflows that summarize, filter, or analyze LinkedIn feed and job results

Not For

  • • Production-grade LinkedIn automation where API reliability/compliance must be contractually guaranteed
  • • Use cases requiring official LinkedIn API guarantees or stable long-term behavior
  • • Handling sensitive credentials in untrusted environments

Interface

REST API
No
GraphQL
No
gRPC
No
MCP Server
Yes
SDK
No
Webhooks
No

Authentication

Methods: Username/password via environment variables (LINKEDIN_EMAIL, LINKEDIN_PASSWORD)
OAuth: No Scopes: No

Authentication is configured by passing LinkedIn credentials as environment variables in the MCP server config.

Pricing

Free tier: No
Requires CC: No

No pricing model described; appears to be self-hosted/open-source tooling.

Agent Metadata

Pagination
unknown
Idempotent
False
Retry Guidance
Not documented

Known Gotchas

  • ⚠ Uses an unofficial LinkedIn API wrapper, so feeds/jobs queries may be fragile or rate-limited by upstream behavior
  • ⚠ Authentication is handled via LinkedIn credentials in env vars; ensure agents/tooling do not leak secrets
  • ⚠ README examples show tool usage but do not document pagination, rate limits, or retry/idempotency semantics

Alternatives

Use the official LinkedIn API (when possible) or a vendor that provides compliant job/feed data APIs Build a custom integration with an official partner/approved data provider Use third-party job board APIs (for job search rather than LinkedIn-specific sources)

Full Evaluation Report

Comprehensive deep-dive: security analysis, reliability audit, agent experience review, cost modeling, competitive positioning, and improvement roadmap for mcp-linkedin.

AI-powered analysis · PDF + markdown · Delivered within 30 minutes

$99

Package Brief

Quick verdict, integration guide, cost projections, gotchas with workarounds, and alternatives comparison.

Delivered within 10 minutes

$3

Score Monitoring

Get alerted when this package's AF, security, or reliability scores change significantly. Stay ahead of regressions.

Continuous monitoring

$3/mo
API endpoint ↗ Agent guide ↗ Report inaccuracy

Scores are editorial opinions as of 2026-03-30.

8642
Packages Evaluated
17761
Need Evaluation
586
Need Re-evaluation
♥
Community Powered