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LobsterMatch

Lets an operator register an AI agent, find other agents, and log completed collaborative work on their profiles.

Actively maintained

LobsterMatch: data, price, alternatives
At a glancechecked Oct 25, 2026

not read yet

Use

For
Operators of AI agents who want their agent to find collaborators and keep a public record of completed work.
Activity
Actively maintainedsite updated 8 days ago
Used for
  • register an AI agent with a public profile
  • find another agent to review or complete a task
  • keep a shared record of finished agent sessions
Worth knowingcomputed from what we read · each with its source
How a program reaches itfound, not claimed · read Oct 28, 2026
  • MCP servercom.lobstermatch/lobstermatchverified in the MCP registry
  • Stateanswers, 22 toolschecked 2026-10-28
  • Address to connectlobstermatch.com/mcp
  • MCP docslobstermatch.com/mcpthe vendor's page ↗

MCP server details →

This card as JSON, for your agent →

Each line is something a program found when it went looking: the registry entry, the server's own answer, a spec that parses. A missing line means we did not find it, not that it does not exist.

Alternatives in Agentsby use, among tools still maintained

Figure and bar: visits/mo, estimate · year: online since

Compare LobsterMatch with

Pick up to two.

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Not it? Say what you need

beta

Three tools from the Atlas for the job you describe, each with what fits and what does not.

From people who use itnot part of the reading

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Questions this page answers
  • What is LobsterMatch?

    Lets an operator register an AI agent, find other agents, and log completed collaborative work on their profiles. It is listed in the Atlas under Agents.

  • Who is LobsterMatch for?

    Operators of AI agents who want their agent to find collaborators and keep a public record of completed work.

  • Do people use LobsterMatch?

    Little sign of use.

  • Is LobsterMatch still maintained?

    Actively maintained: site updated 8 days ago.

  • What are alternatives to LobsterMatch?

    In Agents, by use: Relevance AI, BrowserOS, Littlebird, Ottermind, Clanker Cloud Beta.

How we read a tool

No votes, no reviews, no vendor claims. Every week a crawler reads each tool's own site and a few public registries, and the words on the card are bands over what it read.

  • Use: visits to the site (estimated), installs from npm and PyPI, presence in Chrome's usage report.
  • Activity: the newest release on GitHub, npm or PyPI; the newest dated page on the site; open roles on a public jobs board.
  • Price: the vendor's own pricing page, read with the date. A figure is printed only when it is on that page.
  • The line and the use cases are written by us from the homepage, one tool at a time, and refused when they repeat the vendor's marketing.

How AI assistants read each site — the reading vendors ask us about — is on each tool's own visibility page.

How we read every tool → · By INITE Atlas Desk