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Data platforms · MCP server

Astrofabric MCP: MCP server, setup and security

Astrofabric MCP is an open-source MCP server that lets an AI agent discover and enrich companies and contacts with relevant business signals. Its repository has 1 stars and its last commit is from September 30, 2026 and it is licensed under MIT.

Score
55/100
Adoption (stars) 0/40
Maintenance 30/30
Framework (licence, registry, official) 25/30
OfficialActively maintained

What Astrofabric MCP does

According to its repository: “Business intelligence: company and contact discovery, verification, enrichment, business signals, lists and governed delivery.”

An MCP server gives an AI agent extra tools it calls during the conversation: the agent reads their description, decides to use them and gets the result back. Astrofabric MCP is listed under Data platforms, a category of 39 servers in the directory, where it ranks #33 by stars.

Topics declared by the repository: business-intelligence, data-enrichment.

Installing and connecting Astrofabric MCP

No package or remote server is declared in the official MCP registry: you install it from source, following the repository README.

Like any MCP server, you declare it in your client's configuration (Claude Desktop, Claude Code, Cursor, VS Code, Codex…): a name, the command that starts it or its URL, and any environment variables. The client then starts it and lists its tools. Project language: JavaScript.

Security: what to check

An MCP server runs code with the rights you give it, and the model reads its tool descriptions: a malicious or compromised server can hijack the agent. Read the code, or pick a maintained and widely used server, before connecting it.

None of the risk signals we track (system access, secrets, missing licence, abandonment) applies to Astrofabric MCP. That does not replace reading the code.

Good practice: grant only the rights needed (least privilege), require human approval for irreversible actions, and run the AI agent security check.

Project activity and maintenance

Created on August 25, 2026, the sam1siam/astrofabric-mcp repository has 1 stars and 0 forks, with 0 open issues. It has more stars than 7% of the servers in the directory. It received changes this month.

Stars measure attention, not quality: a recent, heavily promoted project can collect them fast, while a useful but niche server will have few.

MCP server chartMCP server chart : 4.4K4.4KGitLab MCP Server (zereight)GitLab MCP Server (zereight) : 2.1K2.1KMCP mermaidMCP mermaid : 646646Dbt MCPDbt MCP : 612612WalkerOS FlowWalkerOS Flow : 347347QuackbackQuackback : 329329Search Console MCPSearch Console MCP : 308308MCP echartsMCP echarts : 270270Astrofabric MCPAstrofabric MCP : 11
GitHub stars of the most followed servers in the category (log scale); Astrofabric MCP in orange. Checked October 25, 2026.

Verdict

Astrofabric MCP is a reasonable choice; check the points below before connecting it.

Strengths

  • Maintained by the service's own vendor
  • Active project: recent commit
  • Permissive licence (MIT)

Limitations

  • Few visible users
  • Install from source

Frequently asked questions

How do I install Astrofabric MCP?

No package is declared in the MCP registry: clone the sam1siam/astrofabric-mcp repository, follow its README, then declare the start command in your client's MCP configuration.

Is Astrofabric MCP free?

The code is published under the MIT licence and can be used free of charge.

Is Astrofabric MCP safe?

No risk signal found (system access, secrets, licence, abandonment). As with any MCP server, keep rights minimal and read the code before sensitive use.

Is it an official server?

Yes: the awesome-mcp-servers list marks it as the service vendor's official implementation.

What are the alternatives to Astrofabric MCP?

In the same category: MCP server chart, Dbt MCP, GitLab MCP Server (zereight), and WalkerOS Flow. MCP server chart and Dbt MCP score higher on our grid.

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Neutrality. No affiliate links. No vendor pays to be reviewed, rated or ranked. Reviews are directed by François Chollet, neutral and factual, and every data point is dated and sourced. How we score