Tesseron – an API for AI agents, defined by the app developer
Typed WebSocket actions for MCP agents without scraping or browser automation.
Self-improving tool discovery for AI agents. Agents find, install, and learn to use new MCP tools automatically.
Forage proxies MCP capability discovery so an agent can search registries, install a package as a child process, emit list_changed so the agent picks the tool up immediately, and even write usage notes to CLAUDE.md for future sessions. That operational pattern — dynamic install + instant availability + persisted learnings — is a clever, pragmatic fix for brittle agent setups, though the project is clearly early and raises real security/trust questions around auto-installing third-party MCPs (user approval is noted but sandboxing/attestation will matter).
AI developers, prompt engineers, builders of autonomous coding agents, and tool integrators (Claude Code / Cursor users)
Typed WebSocket actions for MCP agents without scraping or browser automation.
Meta MCP server for discovering MCP servers — clever but registry aggregation is expected.
MCP permission proxy solves real AI agent over-permissioning—88% of orgs hit this problem.
Turns legacy SOAP and REST APIs into MCP servers without writing glue code.
MCP integration for AI agents is novel, but WebAudio editors already exist.
Enterprise auth for MCP when the protocol itself has no security layer built in.