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MCP server · Developer Tools

Awesome Data MCP

by · github.com/preset-io/awesome-data-mcp

A list of MCP services for popular data tools

Unclaimed Apache-2.0 last commit a year ago devtools
InstallView source
54Fair

Scored 5 months ago · breakdown

About Awesome Data MCP

Awesome Data MCP is an MCP server published by preset-io in the Developer Tools category: a list of MCP services for popular data tools.

The repository has 20 stars and 6 forks, with the last commit a year ago. Six months or more without a commit doesn't mean the server is broken, but check the open issues before depending on it in production.

Install

From source
git clone https://github.com/preset-io/awesome-data-mcp

This server has no ConduID identity, so agent calls to it are not receipted. Pin the version you install and review the source before granting it credentials.

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Security checks

Static checks derived from the repository 6 days ago. Heuristics on the source, not an audit.

  • ✓README presentThe repository ships documentation.
  • ✓License declaredUsable under a stated license.
  • !Tests presentNo tests found. Behaviour changes may go unnoticed between versions.
  • !Dependencies pinnedNo lockfile. Installs can pull different code over time.
  • !Scoped permissionsDoesn't declare a permission scope. Assume it can do anything its process can.

1 check has not been run yet.

README

Awesome Data-related MCP Services

A curated list of modern-data-stack projects that expose a Model Context Protocol (MCP) server to enable LLMs / agents

As of June 2025, the list was created while doing a few hours of research/curation with help from gpt-o3. Hoping to leverage the community to augment this list and keep it up to date in a fast-changing landscape.

Please contribute by adding new projects or updating existing ones, with relevant high-level details about the MCP server implementation.

BI & Analytics

Transformation & Orchestration

Data Integration / Sync

Data Catalog & Observability

Databases

Contributing

  1. Add the project under the correct heading.
  2. Keep descriptions short and include at least one public link.
  3. Alphabetize entries within each section.

README fetched from the repository 6 days ago. The original is authoritative.

Questions

About Awesome Data MCP

How do I install Awesome Data MCP?

No package has been published for this server, so install it from source: clone the repository and follow its README.

Is Awesome Data MCP safe to use with an AI agent?

Its trust score is 54 out of 100 (fair). It passes 2 of the 5 static security checks run so far; the failures are listed above. It has no ConduID identity yet, so agent calls to it are not receipted.

Is Awesome Data MCP still maintained?

The last commit was a year ago and 2 open issues. That's long enough that you should check whether the maintainer is responding to issues before depending on it.