tinyprobe
io.github.kikutanoPublished by GitHub account kikutanov0.24.0Updated Nov 7, 2026
API testing in YAML: inspect, call and run endpoints and workflows, with the guide to write them.
Overview
Lets an assistant write, validate and run tinyprobe YAML API tests and workflows against your backend, using the guide, inspect, call and run tools.
- What you can do
- Read the built-in guide for writing tinyprobe API and workflow files
- Validate YAML test files as a whole, with file, line and column for each problem
- Send individual endpoint requests to try them out
- Run workflows and report each step's checks, actual values and timings
- Convert Postman collections, OpenAPI documents or backend code into tests, then iterate until they pass
- When to use it
- Use it when you want a coding agent to migrate existing API tests or write new ones as plain YAML in your repository, and to check its own work by running them until they pass before committing.
- Requirements
- A local tinyprobe binary or the Docker image, started as a stdio MCP server (tinyprobe mcp). No account or cloud service. Network access to the backend under test, and credentials supplied through tinyprobe environment files.
Installation
In SourceWeft
- Open tinyprobe in the dashboard and add it to a workspace.
- Enable the server for the chats that should use its tools.
Desktop only via STDIO. STDIO servers start a local process, so they need the SourceWeft desktop host.
Other MCP clients
Follow the launch instructions in the repository.
README
[tinyprobe logo: a shell prompt followed by a check mark]
tinyprobe
[CI] [Release] [License: GPL-3.0] [VS Code extension] [tinyprobe-app]
Why tinyprobe · Install · Quick start · Migrate with your AI · Command line · Workflow format · Guide for coding agents · Roadmap
API tests your AI writes and your CI runs. Give your coding agent a Postman collection, an OpenAPI document or your backend's code: it writes the tests as YAML files in your repository, checks them with tinyprobe until they pass, and tells you what it could not convert. Then the same files run in your terminal, in CI, in VS Code and in a small app, from one native binary. No account, no cloud.
[tinyprobe run output in the terminal]
Why tinyprobe
- Your AI does the migration, and checks its own work. tinyprobe has no importers: the agent you already use converts the collection, following a guide built into the binary (
tinyprobe guide). It validates every file withinspect, tries requests withcalland runs the workflows withrununtil they pass, then writesMIGRATION.mdwith what it could not convert. On our Postman benchmark (20 requests, 4 planted cases with no equivalent), Claude Code with Sonnet and with Haiku covered 18 of 18 convertible requests, reported 4 of 4 untranslatable cases, invented no syntax and committed no secrets. - Mistakes before requests. A file is validated as a whole before anything is sent: every problem with its
file:line:columnand a "did you mean". A failing check shows the actual value. That is what lets an agent, or you, fix a test in one round. - No hidden state. API files only describe endpoints; workflows run them, and every value a step uses is saved by a step you can read above it. Each workflow starts from zero, so it gives the same result on your machine, in CI and in any order (decision 0003).
- Made for CI. One Native AOT binary of about 9 MB that starts in about 20 ms: no runtime, nothing to install on the runner. A GitHub Action that annotates failing steps in pull requests, a Docker image, and JUnit reports for any CI server.
- One engine, wherever you work. The same YAML files and the same
tinyproberun in the terminal, in the VS Code extension, in the app for people who don't use a terminal, and in your coding agent through MCP. - Your files, your repository. Tests are plain YAML next to your code, reviewed in pull requests. Free and open source under the GPL-3.0.
Install
Linux / macOS
Windows (PowerShell)
Then tinyprobe --version. tinyprobe update updates it in place, with the checksum verified. Archives for every platform, the Docker image (ghcr.io/kikutano/tinyprobe) and the other options are in docs/cli.md.
Quick start
hello.yaml:
Run it:
When a step fails, every check of that step is listed with the actual value, and the steps after it are not run:
A mistake in the YAML is reported before any request is sent, with every problem and its location:
To try more without writing anything, example/ tests a free public API: clone this repository, then cd example && tinyprobe run workflows/01-read.yaml -e environment.yaml.
Migrate with your AI
Start with tinyprobe init at the root of your repository. It creates the tinyprobe/ folder (api/, workflows/, sequences/, the env files), adds the env files with credentials to .gitignore, and adds a section to AGENTS.md that tells every coding agent to read tinyprobe guide before touching the tests. It never overwrites a file.
Then give your agent (Claude Code, Cursor, Copilot, Codex...) one of these prompts.
From a Postman collection. Export the collection (Collection v2.1) and each environment into the repository, for example in postman/:
Variants of the same request ("Login", "Login - wrong password") become one endpoint called with different arguments, and the values your scripts saved become save. What has no equivalent (a script that computes a signature, pm.sendRequest) is not guessed: it is listed in MIGRATION.md, so you know what the tests do not cover. The same prompt works for Insomnia, Bruno or another tool's exports: name the folder and the tool.
From an OpenAPI document:
From the backend code:
Give your agent the tinyprobe tools. tinyprobe mcp is an MCP server with the tools guide, inspect, call and run, with JSON arguments and results:
That is .vscode/mcp.json for VS Code. Cursor reads .cursor/mcp.json with { "mcpServers": { "tinyprobe": { "command": "tinyprobe", "args": ["mcp"] } } }, Codex ~/.codex/config.toml with [mcp_servers.tinyprobe], command = "tinyprobe", args = ["mcp"]. It is listed in the MCP Registry as io.github.kikutano/tinyprobe. call and run send requests to your backend, so your agent may ask you before using them.
agents/ has ready-made instructions that send an agent to tinyprobe guide: a Claude Code plugin (/plugin install tinyprobe --marketplace kikutano/tinyprobe), a Cursor rule, Copilot instructions, and llms.txt.
Run in CI
The action runs every workflow of the folder, also after a failing one, puts a summary on the job page and marks each failing step at its line in the pull request. On other CI servers use the Docker image or the binary, with --junit for the test tab: see docs/cli.md for GitLab and the others. Exit codes: 0 passed, 1 a step failed, 2 an invalid file or arguments.
The format at a glance
Endpoints and tests live in separate files, so the same endpoints serve many workflows:
API files also have auth sets (bearer, API key, Basic, OAuth2 client credentials), query strings, forms and file uploads; workflows have variables, generated values (${$uuid}, ${$now+2h}) and named imports for several services. Everything is in docs/workflow-format.md. docs/example/ uses every feature against a test server you start with one command, and is what CI runs.
VS Code extension
tinyprobe for VS Code runs the same files from the editor: problems underlined as you save, completion and go to definition, ▶ Call above every endpoint, ▶ Run workflow and the Test Explorer, Run to here on every step, the workflow drawn as a diagram that lights up as it runs, the history of your calls and an environment editor.
Install it from the VS Code Marketplace, or Open VSX for Cursor, Windsurf and VSCodium: code --install-extension kikutano.tinyprobe-vscode.
The app
tinyprobe-app is tinyprobe for people who use neither a terminal nor VS Code: one small download for Windows, macOS and Linux that opens in the browser. Send any request from a form, run workflows and watch them as a diagram, and edit endpoints and steps with forms instead of YAML. It works on the same files, so what you do in the app runs unchanged in a terminal and in CI.
Learn more
- docs/cli.md: every command and option, CI, exploring an API with
inspectandcall, the JSON for other tools. - docs/workflow-format.md: the complete format.
- docs/llm-guide.md: the guide for coding agents, also printed by
tinyprobe guide. - docs/protocol.md: the JSON of
inspect --json, the run events and the MCP tools. - docs/comparison.md: tinyprobe next to Postman, Bruno and Hurl, and when to choose which.
- example/ and docs/example/: a first look against a public API, and every feature against the test server.
- CONTRIBUTING.md: building from source and how changes are made. ROADMAP.md: what comes next.
License
Copyright (C) 2026 Gaetano Luigi Lenoci
tinyprobe is free software: you can use, change and share it under the terms of the GNU General Public License, version 3 (GPL-3.0-only). A changed version may be shared, even for a fee, only under the same license and together with its source code.
Releases up to 0.21.0 were published under the MIT License, which still applies to them.
Source: README.md at commit 8110f20
Tools
0Version history
5- v0.24.0LatestNov 7, 2026
- v0.23.0Nov 5, 2026
- v0.22.0Nov 4, 2026
- v0.21.0Oct 31, 2026
- v0.20.1Oct 31, 2026
Score
50% of the applicable checks met
How complete this listing is, computed from the registry entry, the endpoint and public sources. Not a rating of the server and not a statement that it is safe or working today: reachability is a dated check, and no installs or reviews go into the score.
- Reached in the last 30 days25 pts
Keep the endpoint answering the MCP handshake; SourceWeft probes it every 30 days.
- Auth declared10 pts
Declare the credential headers in the registry entry, or keep the endpoint answering the probe so its auth can be classified.
- Tools listed15 pts
Answer tools/list without a credential, or ship a package that starts in a sandbox without one.
- DescriptionRequired15 pts
- Logo10 pts
- Documentation15 pts
- License10 pts