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Api testing MCP: MCP server, setup and security

Api testing MCP is an open-source MCP server published on GitHub that lets an AI agent test APIs with multi-step flows, assertions, load tests and mocks. Its repository has 13 stars and its last commit is from May 2, 2026 and it is licensed under MIT.

Last commit 6 months ago

What Api testing MCP does

According to its repository: “API testing: per-project environments with variable interpolation, saved collections, multi-step flows, assertions, load testing and OpenAPI mock generation.”

The Model Context Protocol (MCP) is a standard plug between an AI agent and an outside service: once the server is connected, its tools show up in the agent, which decides when to call them. Api testing MCP is listed under Developer tools, a category of 475 servers in the directory, where it ranks #357 by stars.

Topics declared by the repository: api-testing, claude, typescript, http-client, load-testing, mock-data.

Installing and connecting Api testing MCP

Distribution modes declared in the official MCP registry:

  • npm package (Node.js, usually started with npx)

It works with any MCP-compatible client (Claude Desktop, Claude Code, Cursor, VS Code, Codex and most recent agents). You add one entry to the client's MCP configuration: server name, start command or URL, environment variables. Project language: TypeScript. Listed systems: macOS, Windows, Linux.

Security: what to check

Connecting an MCP server means installing software that talks straight to your agent: it runs with your rights and the model trusts its tool descriptions. The risk therefore depends on what it can touch and how far its code can be trusted.

None of the risk signals we track (system access, secrets, missing licence, abandonment) applies to Api testing 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 March 14, 2026, the cocaxcode/api-testing-mcp repository has 13 stars and 2 forks, with 0 open issues. It has more stars than 31% of the servers in the directory. Last change 6 months ago. Version published in the registry: 0.11.12 (March 25, 2026).

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

StorybookStorybook : 91.4K91.4KFront End ChecklistFront End Checklist : 74.6K74.6KTldrawTldraw : 51.1K51.1KCodebase MemoryCodebase Memory : 47.4K47.4KCCXTCCXT : 44.5K44.5KPostHog MCP ServerPostHog MCP Server : 40.4K40.4KClaude task masterClaude task master : 28.3K28.3KAgent Skills Search ServerAgent Skills Search Server : 26.6K26.6KApi testing MCPApi testing MCP : 1313
GitHub stars of the most followed servers in the category (log scale); Api testing MCP in orange. Checked October 25, 2026.

Verdict

Api testing MCP is still a modest project: read its code and compare it with the alternatives before using it.

Strengths

  • Listed in the official MCP registry
  • Permissive licence (MIT)

Frequently asked questions

How do I install Api testing MCP?

Api testing MCP is distributed as npm package (Node.js, usually started with npx). Add it to your client's MCP configuration (Claude Desktop, Cursor, VS Code…) following the README of cocaxcode/api-testing-mcp.

Is Api testing MCP free?

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

Is Api testing 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?

Nothing says so: it is a project published by cocaxcode on GitHub. Check who maintains it before giving it access.

What are the alternatives to Api testing MCP?

In the same category: Radar Kubernetes MCP Server, Repowise, Jscpd, and Apify MCP server. Radar Kubernetes MCP Server and Repowise 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