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Raccha

Exposes key-value storage, queues, auth and runtime to agents over MCP, HTTP, a CLI or generated SDKs.

At a glanceswept 2026-10-12

not read yet

Use

For
Teams building AI agents that need storage, messaging, identity and runtime tooling during early access
Price
Price not read
Activity
Activity not read yet
Company
Domain since 2025domain registered
Runs as
CLISDK
What people do with it
  • Call storage and queue tools from an agent over MCP
  • Give an agent scoped credentials and check its tool calls
  • Connect an agent or IDE to hosted tools through the CLI
The companyeach fact with its source · read 2026-10-13
  • Domain since2025domain registered
Your datawhat they publish, each line with its page · read 2026-10-13

These are Raccha's own statements, read from its pages. We did not audit them. A line that is missing was not found on the pages we read; it does not mean the practice is absent.

How a program reaches itfound, not claimed · read 2026-10-13
  • MCP serverai.raccha/racchaverified in the MCP registry
  • Stateanswers, 67 toolschecked 2026-10-13
  • Address to connectraccha.ai/mcp

MCP server details →

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 Developer toolsby use, among tools still maintained

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

All Developer tools tools →

Questions this page answers
  • What is Raccha?

    Exposes key-value storage, queues, auth and runtime to agents over MCP, HTTP, a CLI or generated SDKs. It is listed in the Atlas under Developer tools.

  • Who is Raccha for?

    Teams building AI agents that need storage, messaging, identity and runtime tooling during early access

  • Do people use Raccha?

    Little sign of use.

  • Is Raccha safe?

    We do not audit vendors. What Raccha publishes, read 2026-10-13: a trust center.

  • What are alternatives to Raccha?

    In Developer tools, by use: Kilo, FastMCP, AIsa, One, Jentic, Omnara.

Not quite it? Describe the job

beta

Five tools from the Atlas that fit it, each judged against what you wrote.

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.