Search a codebase semantically to find relevant code, file locations, line numbers, and connections based on a query and directory.
127,142 tools. Last updated 2026-05-05 09:15
"A tool for identifying relevant LinkedIn connections based on expertise" matching MCP tools:
- Discover available platforms and integrations supported by Pica. Start workflows by identifying connections in kebab-case format for subsequent tool calls.MIT
- Create and publish text posts to your LinkedIn feed with customizable visibility settings for professional networking.MIT
- Retrieve relevant lessons for a given tool and action context to provide pre-action guidance based on past feedback.MIT
- Extract skills and endorsement data from LinkedIn profiles to analyze professional capabilities and verify expertise through community validation.MIT
- Extract your entire LinkedIn connections list to manage and analyze your professional network effectively using the MCP server's data integration capabilities.MIT
Matching MCP Servers
- Alicense-qualityDmaintenanceEnables semantic search and knowledge graph exploration of Obsidian vaults using Smart Connections embeddings. Provides intelligent note discovery, similarity search, and connection mapping through natural language queries.Last updated46MIT
- Alicense-qualityDmaintenanceAn MCP server that enables users to interact with LinkedIn feeds and search for job listings through natural language. It provides tools for retrieving recent feed posts and searching for professional opportunities based on specific keywords and locations.Last updatedThe Unlicense
Matching MCP Connectors
linkedin-humblebrag MCP — wraps StupidAPIs (requires X-API-Key)
LinkedIn API as MCP tools to retrieve profile data and publish content. Powered by HAPI MCP.
- Find LinkedIn profiles similar to a target profile by analyzing industry, role, and skills to identify relevant professional connections.MIT
- Retrieve your LinkedIn connections list with names, headlines, and profile URLs. Filter results by name to find specific contacts.MIT
- Find LinkedIn Geo IDs for location-based filtering by searching location names, enabling precise geographic targeting in LinkedIn data queries.MIT
- Retrieve LinkedIn user connections data from your account, with options to filter by connection date and limit results for efficient network analysis.JavaScript
- Find professionals on LinkedIn using keywords to identify potential connections, candidates, or industry experts.MIT
- Send direct messages to LinkedIn connections using profile ID, subject, and body. Facilitates secure and structured communication with your network through the Model Context Protocol.MIT
- Retrieve relevant lessons based on your current context to enhance learning and problem-solving with personalized recommendations.MIT
- Retrieve relevant documentation and context for RedM development queries by automatically loading intelligent resources based on your specific task description.
- Search a custom knowledge base to find relevant information chunks based on your query, returning the most pertinent results for your needs.
- Find up to 5 candidate connections from the same domain for a given node by comparing overlapping labels, descriptions, or tags. Use after filing a memory to discover likely connections before creating them.MIT
- Search documents using semantic understanding to find relevant content based on meaning rather than keywords. Understands natural language queries and returns ranked passages with source information.MIT
- Retrieve comprehensive documentation and code examples for any library by providing its name and a specific topic. Automatically fetches relevant sections, ensuring up-to-date information for accurate coding.MIT
- Search memory to retrieve related insights, hypotheses, and evidence from previous reasoning sessions, helping build on established connections and solutions.MIT
- List accepted agent connections with details using cursor-based pagination. Specify cursor for next page and limit to control results per page.