Linkedin MCP Server vs Performance Review

A side-by-side look at the Linkedin MCP Server and Performance Review MCP servers: transport, auth, tools, quality signals, and the config to install either one in Claude, Cursor, Windsurf or VS Code.

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Linkedin MCP ServerSocial Media · Local subprocess (stdio)
Open-source MCP server for LinkedIn. Give Claude and any MCP-compatible AI agent access to profiles, companies, jobs, and messages.67GreatAuth: other
Performance Review logoPerformance ReviewSocial Media · Local subprocess (stdio)performance-review MCP — wraps StupidAPIs (requires X-API-Key)57GoodAuth: not declared

Verdict: choose Linkedin MCP Server for social media work as a local process; choose Performance Review for social media as a local process. You can also run both side by side in one mcpServers block.

Which MCP server should you choose?

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Choose Linkedin MCP Server when

  • You need dedicated capabilities in the Social Media domain.
  • You prefer a local stdio subprocess transport.
  • Its auth model fits you: other.
  • You want tools like get_person_profile, search_people, connect_with_person.
Explore Linkedin MCP Server

Performance Review logoChoose Performance Review when

  • You need dedicated capabilities in the Social Media domain.
  • You prefer a local stdio subprocess transport.
  • You want tools like performance_review_generate.
Explore Performance Review

Feature & specification comparison

Rows where the two servers differ are marked.

Spec
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Linkedin MCP Server
Performance Review logoPerformance Review
CategorySocial MediaSocial Media
Quality signal67/100 · Great57/100 · Good
Install commandConfirmedConfirmed
TransportLocal subprocess (stdio)Local subprocess (stdio)
AuthotherNot declared
PricingFreeNot declared
Required env varsNone listedNone listed
Verified ownerCommunity listingCommunity listing
GitHub stars3,9610
Directory activity 1 views 0 installs 0 upvotes 2 views 0 installs 0 upvotes
Tools201

Tools & capabilities

Linkedin MCP Server tools 20

  • get_person_profileGet a specific person's LinkedIn profile.
  • search_peopleSearch for people on LinkedIn.
  • connect_with_personSend a LinkedIn connection request or accept an incoming one. The tool is annotated with destructiveHint so MCP clients will prompt for user confirmation before execution.
  • get_sidebar_profilesGet profile links from sidebar recommendation sections on a LinkedIn profile page. Extracts profiles from "More profiles for you", "Explore premium profiles", and "People you may know" sidebar sections. Follows "Show all" links to return the full list from each section. Sections that redirect to linkedin.com/premium are skipped.
  • get_my_profileGet the authenticated user's own LinkedIn profile. Navigates to /in/me/ and resolves the redirect to obtain the real username before reading the profile, so the url field in the result is the actual profile URL (e.g. linkedin.com/in/johndoe/) rather than /in/me/.
  • get_company_profileGet a specific company's LinkedIn profile.
  • get_company_postsGet recent posts from a company's LinkedIn feed.
  • search_companiesSearch for companies on LinkedIn.
  • get_company_employeesList employees at a company from the LinkedIn /people/ page, including the demographics aggregate that this view exposes: where employees live, where they studied, and a function breakdown (Engineering, Sales, Operations, etc.). The demographics are unique to this tool. For filtered search by network degree (1st/2nd/3rd) or location, prefer search_people with current_company set to the company URN id. That path also returns more result pages than the /people/ tab. The optional keywords filter narrows results by name, title, or skill. company_name must be the exact LinkedIn URL slug (the path segment after /company/), not the display name. LinkedIn assigns unique slugs and the display name often does not match. For example, the AI lab Anthropic lives at /company/anthropicresearch/, not /company/anthropic/. If you are unsure of the slug, call search_companies first and pick the slug from the returned references.
  • get_job_detailsGet job details for a specific job posting on LinkedIn.
  • get_job_apply_urlGet how a job posting takes applications, and the employer's application link. Reads the posting without clicking anything.
  • search_jobsSearch for jobs on LinkedIn. Returns job_ids that can be passed to get_job_details for full info.
  • +8 more on the listing page

Performance Review tools 1

  • performance_review_generateGenerate a satirical corporate performance review for an employee; takes employee_name, role, rating (rockstar/solid/developing/not_a_culture_fit), actual_performance, and what_manager_wants_to_say — returns review text that communicates nothing clearly.

Ready-to-paste client configs

Paste either block (or both) into your client config, e.g. claude_desktop_config.json or ~/.cursor/mcp.json. We only show a config when the install command is confirmed.

Linkedin MCP Server

mcpServers (Claude Desktop / Cursor)
{
  "mcpServers": {
    "linkedin-mcp-server-3": {
      "command": "uvx",
      "args": [
        "mcp-server-linkedin"
      ]
    }
  }
}

Performance Review

mcpServers (Claude Desktop / Cursor)
{
  "mcpServers": {
    "performance-review": {
      "command": "npx",
      "args": [
        "-y",
        "@pipeworx/mcp-performance-review"
      ]
    }
  }
}

Frequently asked questions

Linkedin MCP Server is categorized under Social Media and uses a local stdio subprocess. Performance Review belongs to Social Media and uses a local stdio subprocess. Pick Linkedin MCP Server for social media work and Performance Review for social media.

Copy the mcpServers block from the config section on this page into your client's config (for example claude_desktop_config.json or ~/.cursor/mcp.json), then fully restart the client.

Linkedin MCP Server is listed as free. Auth: other. Performance Review has no declared pricing — check the project's own site. If a server needs environment variables such as API keys, define them under the env key in your client's MCP config.

Yes. MCP clients support multiple servers: add linkedin-mcp-server-3 and performance-review as separate keys in the same mcpServers object, and your assistant will call tools from either one.

On AllMCPs, Linkedin MCP Server has a quality signal of 67/100 (Great) with 1 views, 0 installs and 3,961 GitHub stars. Performance Review has 57/100 (Good) with 2 views, 0 installs and 0 GitHub stars.