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Security · MCP server

ContrastAPI: MCP server, setup and security

ContrastAPI is an open-source MCP server that lets an AI agent investigate vulnerabilities, domains and threats and scan code for exposed secrets. Its repository has 35 stars and its last commit is from October 21, 2026 and it is licensed under MIT.

Actively maintainedRemote server

What ContrastAPI does

According to its repository: “Security intelligence: CVE/EPSS/KEV lookups, domain recon (DNS, WHOIS, SSL, subdomains), IOC threat intel, OSINT and code scanning for secrets and injection.”

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. ContrastAPI is listed under Security, a category of 133 servers in the directory, where it ranks #56 by stars.

Topics declared by the repository: api, cve, cybersecurity, osint, security, ai-agents.

Installing and connecting ContrastAPI

Distribution modes declared in the official MCP registry:

  • remote server (streamable-http): you connect to it by URL, with nothing to install locally

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: Python.

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 ContrastAPI. 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 March 27, 2026, the UPinar/contrastapi repository has 35 stars and 5 forks, with 0 open issues. It has more stars than 47% of the servers in the directory. It received changes this month. Version published in the registry: 1.36.4 (October 18, 2026).

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

World MonitorWorld Monitor : 89.4K89.4KSemgrepSemgrep : 17.2K17.2KIda pro MCPIda pro MCP : 13.1K13.1KGhidraMCP (LaurieWired)GhidraMCP (LaurieWired) : 11.5K11.5KRobin: AI Powered Dark Web ORobin: AI Powered Dark Web O : 7.7K7.7KJadx ai MCPJadx ai MCP : 2.9K2.9KPower BI Authoring MCP ServePower BI Authoring MCP Serve : 1.2K1.2KSafeDep Vet MCPSafeDep Vet MCP : 1.1K1.1KContrastAPIContrastAPI : 3535
GitHub stars of the most followed servers in the category (log scale); ContrastAPI in orange. Checked October 25, 2026.

Verdict

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

Strengths

  • Active project: recent commit
  • Listed in the official MCP registry
  • Usable remotely, without installation
  • Permissive licence (MIT)

Frequently asked questions

How do I install ContrastAPI?

ContrastAPI is distributed as a remote server. Add it to your client's MCP configuration (Claude Desktop, Cursor, VS Code…) following the README of UPinar/contrastapi.

Is ContrastAPI free?

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

Is ContrastAPI 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?

It is published in the MCP registry under the verified namespace com.contrastcyber, which shows the publisher controls that domain.

What are the alternatives to ContrastAPI?

In the same category: Semgrep, World Monitor, SafeDep Vet MCP, and Ida pro MCP. Semgrep and World Monitor 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