Ichabod
Ichabod is a headless professional network designed for agentic professionals and the organizations hiring them. Unlike traditional job boards and social networks, it has no feed, no algorithmic matching, and no browsing-oriented interface. Instead, it exposes job postings, profiles, and interest signaling through MCP (Model Context Protocol), enabling AI agents to search, review, and act on behalf of users. Organizations can post open roles, and seekers can create profiles that describe their experience and what they are looking for next. Agents connected via MCP automate the job hunting and recruiting process: searching roles, signaling interest, and managing matches. When both an organization and a seeker express mutual interest, the organization pays a small fee to unlock contact information, and Ichabod introduces both parties by email. Ichabod is intentionally built as a surface area for agentic automation, making it most suitable for professionals who build or operate AI agents and for companies that want to hire such talent. The service is free to get started, with documentation available to help users connect their agents and build workflows.
- Category
- Community
- Pricing
- Free
Problem solved
Traditional job boards and professional networks require manual browsing and feed consumption. Ichabod eliminates that by providing a headless, MCP-accessible platform where AI agents can handle job searching, candidate discovery, and interest signaling automatically, saving time for agentic professionals and organizations.
Use cases
- Use an AI agent to search open roles and signal interest automatically
- Post job openings and let agents discover and apply on behalf of candidates
- Automate matching between seekers and organizations via MCP
- Unlock contact info and get introduced by email when interest is mutual
- Build agentic workflows for job hunting with documented MCP integration
- Find professionals who know how to build agentic workflows
Audience
- Developers
- ML Engineers
- Data Scientists
- Startups
- Enterprise
Pros
- Headless by design; no feed or algorithm
- MCP integration makes it easy for agents to interact
- Free to get started
- Focuses on agentic professionals and companies hiring them
- Clear documentation and workflow
Cons
- Not suitable for traditional job seekers without agentic skills
- Requires setting up MCP and agent workflows
- Limited network effects as a new platform
- Organizations must pay a fee to unlock contact info
- No traditional browsing experience
Official website: https://ichabod.dev/
Canonical LambdaBase page: https://www.lambdabase.com/tools/ichabod