Clado MCP Server
Related Servers
Alternatives to Clado MCP Server
No user-submitted related servers found.
Related Servers
- AlicenseAqualityDmaintenanceAn unofficial Model Context Protocol server that enables programmatic access to LinkedIn data through tools like user search, company search, profile enrichment, and contact retrieval.767 npm3ISC
- FlicenseNot gradedqualityDmaintenanceA Model Context Protocol server that enables seamless interaction with LinkedIn for job applications, profile retrieval, feed browsing, and resume analysis through natural language commands.34-
- FlicenseNot gradedqualityDmaintenanceA comprehensive Model Context Protocol server that enables AI assistants to interact with LinkedIn APIs for profile management, content creation, networking, messaging, and analytics.2-
- FlicenseNot gradedqualityDmaintenanceA server implementing the Model Context Protocol that enables users to retrieve LinkedIn profile information and activity data via EnrichB2B API, and generate text using OpenAI GPT-4 or Anthropic Claude models.1-
- AlicenseNot gradedqualityDmaintenanceA ToS-compliant Model Context Protocol server for LinkedIn that uses the official API for OAuth 2.0 authentication, profile reading, and content posting.MIT
- AlicenseAqualityNot gradedmaintenanceAn MCP server that lets AI assistants read LinkedIn data through the user's logged-in browser session, providing tools for profiles, companies, job searches, messaging, and feeds.19Apache 2.0
TDQS
Scored across 5 tools
The tools have some overlap in purpose, particularly between 'enrich_linkedin' and 'scrape_linkedin', which both retrieve LinkedIn profile data, though 'scrape_linkedin' includes posts and comments. 'retrieve_contacts' focuses on contact information, while 'linkedin_post_reactions' and 'search_for_users' are more distinct. Descriptions help differentiate them, but confusion could arise between the profile-focused tools.
Most tools follow a consistent verb_noun pattern (e.g., 'enrich_linkedin', 'scrape_linkedin', 'search_for_users'), which is clear and predictable. However, 'retrieve_contacts' uses 'retrieve' instead of a more aligned verb like 'get' or 'enrich', causing a minor deviation. Overall, the naming is mostly consistent and readable.
With 5 tools, the count is well-scoped for a LinkedIn-focused server, covering key operations like profile enrichment, contact retrieval, post analysis, and user search. Each tool appears to serve a distinct purpose, and the number is neither too sparse nor overwhelming for the domain.
The tool set covers core LinkedIn data retrieval functions, including profile enrichment, contact information, post engagement, and user search. Minor gaps exist, such as the lack of tools for updating or managing data (e.g., no 'create_contact' or 'delete_profile'), but agents can likely work around these for typical lookup and analysis tasks.