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MCP Servers

metorial/metorial

Connect any AI model to 1200+ integrations (MCP, CLI, API)

Our verdict

Not reviewed yet

We have not reviewed metorial/metorial yet

No one at Enterprise DNA has checked this listing against its sources. The description comes from public listings gathered automatically. Any fact below shows where it came from and when it was last checked.

How we review records

From the listing

About metorial/metorial

Metorial lets developers connect any AI model to over 1200 external integrations through MCP, a CLI, or an API. It acts as a universal bridge between AI runtimes and services like databases, file storage, or messaging platforms.

Best for

Developers building AI agents that need to interact with many external tools without writing glue code.

Use cases

  • Wire an LLM to a PostgreSQL database via MCP
  • Trigger cloud storage actions from a CLI command
  • Expose a custom service as an API endpoint for an AI agent

Notes

3,297 stars on GitHub. Last updated 2026-06-01. Licensed Apache-2.0.

Pros

  • Massive library of integrations out of the box
  • Supports multiple connection protocols (MCP, CLI, API)
  • Popular open-source project with strong community attention

Cons

  • Dependency on a single GitHub repository for all integrations
  • May require custom wiring for unsupported services
  • Documentation depth varies across integrations

Key facts

What we have checked

Not checked yet. Dated facts such as prices, releases and repository activity appear here once we have confirmed them from a source.

How to use

How to set it up

As the listing publishes it. We have not run this install.

Install

pip install metorial pydantic-ai python-dotenv

Clients the listing names (not checked here)

Claude Code, Codex, Cursor

Install

Add metorial/metorial to your client

Not verified yet

No install recipe yet. We write one for Claude Code, Claude Desktop, Cursor, VS Code, Codex and ChatGPT when the server is in the official MCP registry with a package or remote address we can use.

Until then, follow the project's own README, or the setup the listing publishes under How to set it up.

Works with

What metorial/metorial connects to

No confirmed connections yet. A product appears here when the server's registry name, repo, homepage or name ties it to that product, and a client appears when we have an install recipe for it.

Health and security

Is metorial/metorial looked after, and what do its setup files show

Security check static checks

94 out of 100

Reads what is published about the server: package advisories, licence, secrets in the documented setup and tool permissions. Nothing is installed or run, so this is not a security assessment. Checked by edna-static-v1. What it checks

Licence: NOASSERTION

  • Low The repository has a licence file GitHub cannot match to a standard licence. Read it before relying on the server.
  • Low The documented install uses metorial, whose published metadata points at github.com/metorial/metorial-python, not this repository. Check it is the right package before installing.
  • Note No published npm or PyPI package of this repository was found, so package advisories were not checked.
  • Note The lab has not recorded this server's tool list yet, so tool permissions were not checked.

Alternatives

Alternatives to metorial/metorial

RecordTypeHow we knowChecked
PipedreamHQ/pipedreamThis is an alternative to itMCP serverNamed in the listingNot dated

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Sources

Where this comes from

No sources recorded yet. Each source we check is listed here with the date we checked it.

A source shows what was published when we checked it. It does not certify security, performance or a working installation. Read our method.

Changelog

What changed

No changes recorded yet. Releases, price changes and deprecations appear here, with their dates, once we track them for this record.

Open-source & AI alternatives

Swap-in tools that solve the same job. Weigh the trade-offs before you commit.

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