openapi-to-cli (short ocli) is a TypeScript CLI that turns any HTTP API described by an OpenAPI/Swagger spec into a set of CLI commands — at runtime, without code generation.

Input: OpenAPI/Swagger spec (URL or file) plus API connection settings.
Output: an executable ocli binary where each API operation is exposed as a dedicated subcommand.

Unlike openapi-to-mcp, which starts an MCP server with tools, ocli provides a direct command-line interface.

Why convert OpenAPI spec to CLI?

The trend is clear: CLI commands are cheaper and more native than MCP tools for AI agents.

Factor	MCP Tools	CLI Commands
Token cost	Each tool call requires full JSON schema in context on every request	CLI commands are invoked by name with flags — minimal token overhead
Startup overhead	MCP server must be running, connected via transport layer	Single process, instant execution, zero transport cost
Composability	Tools are isolated in MCP server scope	CLI commands pipe, chain, and integrate with shell scripts natively
Agent compatibility	Requires MCP-aware client (Claude, Cursor, etc.)	Any agent that can run shell commands — universal
Discoverability	Agent must hold all tool schemas in context window	`--help` for quick lookup, `search --query` for BM25-ranked discovery
Multi-API	One MCP server per API, each consuming context	Multiple profiles in one binary, switch with `ocli use <profile>`
Endpoint scoping	All tools exposed at once, no per-session filtering	Per-profile `--include/--exclude-endpoints` — same API, different command sets for different roles
Debugging	Opaque transport, hard to inspect	Plain HTTP requests, visible in terminal

When an agent has access to 200+ API endpoints, loading all of them as MCP tools burns thousands of tokens per turn. With ocli, the agent calls ocli search --query "upload files" to discover relevant commands, then executes them directly. The context window stays clean.

Bottom line: if your agent talks to HTTP APIs, CLI is the most token-efficient and portable interface available today.

Comparison

Feature	ocli	mcp2cli	openapi-cli-generator	CLI-Anything
Runtime interpretation (no codegen)	✅	✅	❌	❌
Works without LLM	✅	✅	✅	❌
Zero-setup install (`npx`/`uvx`)	✅	✅	❌	❌
Instant API onboarding (seconds)	✅	✅	❌	❌
Multiple API profiles in one binary	✅	✅ (bake mode)	❌	❌
Multiple endpoint sets per API	✅	✅ (include/exclude globs)	❌	❌
BM25 command search	✅	❌ (substring only)	❌	❌
Regex command search	✅	❌	❌	❌
Per-profile endpoint filtering	✅	✅	❌	❌
OpenAPI/Swagger spec (JSON + YAML)	✅	✅	✅	❌
MCP server support	❌	✅ (HTTP/SSE/stdio)	❌	❌
GraphQL support	❌	✅ (introspection)	❌	❌
Spec caching with refresh	✅	✅ (1h TTL)	❌	❌
Add new API without recompile	✅	✅	❌	❌
Non-HTTP integrations (desktop apps)	❌	❌	❌	✅
Session management / undo-redo	❌	✅ (daemon sessions)	❌	✅
JSON structured output	❌	✅ (JSON + TOON)	✅	✅
Custom HTTP headers	✅	✅	❌	❌
Command name prefix	✅	❌	❌	❌
Basic / Bearer auth	✅	✅	✅	❌
OAuth2 / Auth0	❌	✅ (PKCE + client credentials)	✅	✅
Response jq/JMESPath filtering	❌	✅ (jq)	✅ (JMESPath)	❌
Syntax-highlighted output	❌	✅	✅	❌
Token-optimized output (TOON)	❌	✅ (40-60% savings)	❌	❌
Auto-generated tests	❌	❌	❌	✅
Active project	✅	✅	❌ (deprecated)	✅

High level idea

The user installs the package (for example via npx or globally) and gets the ocli binary in $PATH.
On first use the user onboards an API with a command like:

ocli profiles add myapi \
  --api-base-url http://127.0.0.1:2222 \
  --openapi-spec http://127.0.0.1:2222/openapi.json \
  --api-bearer-token "..." \
  --include-endpoints get:/messages,get:/channels \
  --exclude-endpoints post:/admin/secret \
  --command-prefix "myapi_" \
  --custom-headers '{"X-Tenant":"acme","X-Request-Source":"cli"}'

Alternatively, ocli onboard (with the same options, no profile name) creates a profile named default.

The CLI:
- downloads and validates the OpenAPI spec;
- stores profile configuration;
- caches the spec in the filesystem;
- builds a set of commands based on paths and methods.

After onboarding, commands can be used like:

ocli messages_get --profile myapi --limit 10
ocli channels_username_get --profile myapi --username alice

or using the default profile:

ocli use myapi
ocli messages --limit 10

Command search

When the API surface is too large for --help, use command filtering with commands:

# BM25 natural language search
ocli commands --query "upload files"
ocli commands -q "list messages" --limit 5

# Regex pattern matching
ocli commands --regex "admin.*get"
ocli commands -r "messages" -n 3

The BM25 engine (ported from picoclaw) ranks commands by relevance across name, method, path, description, and parameter names. This enables agents to discover the right endpoint without loading all command schemas into context. The legacy ocli search command is kept as a deprecated alias and internally forwards to ocli commands with the same flags.

Benchmark: three strategies for AI agent ↔ API interaction

Tested against Swagger Petstore (OpenAPI spec). Scaling projections use the GitHub API (845 endpoints).

Three strategies compared:

#	Strategy	How it works	Tools in context
1	MCP Naive	All endpoints as MCP tools	N tools (one per endpoint)
2	MCP+Search	2 tools: `search_tools` + `call_api`	2 tools
3	CLI (ocli)	1 tool: `execute_command`	1 tool

Run the benchmark yourself:

npx ts-node benchmarks/benchmark.ts

Results (19 endpoints, 15 natural-language queries):

  TOOL DEFINITION OVERHEAD (sent with every API request)

  MCP Naive     ██████████████████████████████  2 945 tok  (19 tools)
  MCP+Search    ████    346 tok  (2 tools)
  CLI (ocli)    █    138 tok  (1 tool)

  SEARCH RESULT SIZE (3 matching endpoints)

  MCP+Search    ██████████████████████████████    995 tok  (full JSON schemas)
  CLI (ocli)    ██     67 tok  (name + method + path)

  SCALING: OVERHEAD PER TURN vs ENDPOINT COUNT

  Endpoints   MCP Naive      MCP+Search     CLI (ocli)     Naive/CLI
     19          2 945 tok       346 tok       138 tok     21x ← Petstore
    100         15 415 tok       346 tok       138 tok    112x
    845        130 106 tok       346 tok       138 tok    943x ← GitHub API

  VERDICT

                 Overhead/turn    Search result    Accuracy     Server?
  MCP Naive       2 945 tok       N/A              100%         Yes
  MCP+Search        346 tok         995 tok/query     93%        Yes
  CLI (ocli)        138 tok          67 tok/query     93%        No

  Monthly cost (845 endpoints, 100 tasks/day, Claude Sonnet $3/M input):
  MCP Naive    $1 172/month
  MCP+Search   $   92/month
  CLI (ocli)   $    4/month

Key insights:

MCP Naive is simple but scales terribly (130K tokens at 845 endpoints).
MCP+Search fixes the overhead but search results carry full JSON schemas — 15x larger than CLI text output.
CLI returns compact text, needs no MCP server, and works with any agent that has shell access.
Both search approaches share the same BM25 accuracy (93% top-3). The 7% miss is recoverable — the agent retries with a different query.

Installation and usage via npm and npx

To use ocli locally without installing it globally you can rely on npx:

npx openapi-to-cli onboard \
  --api-base-url http://127.0.0.1:2222 \
  --openapi-spec http://127.0.0.1:2222/openapi.json

The command above will

download the openapi-to-cli package from npm if it is not cached yet
run the ocli binary from the package
create the default profile and cache the OpenAPI spec under .ocli/specs/default.json

After onboarding you can continue to use the generated commands with the ocli binary that npx runs for you:

npx openapi-to-cli use myapi
npx openapi-to-cli messages_get --limit 10

If you prefer a global installation you can also install the package once

npm install -g openapi-to-cli

and then call the binary directly

ocli onboard --api-base-url http://127.0.0.1:2222 --openapi-spec http://127.0.0.1:2222/openapi.json
ocli messages_get --limit 10

Profiles and configuration files

A profile describes a single API connection.
Profiles are stored in an INI file (one section per profile, no special "current" key in the INI):
- global: ~/.ocli/profiles.ini
- project-local: ./.ocli/profiles.ini (has higher priority than global)
The profile to use when the user does not pass --profile is stored in .ocli/current (one line: profile name). If the file is missing or empty, the profile named default is used. The profile named default is a normal profile like any other; it is just used when no profile is specified.

Example profiles.ini structure:

[default]
api_base_url = http://127.0.0.1:1111
api_basic_auth =
api_bearer_token = MY_TOKEN
openapi_spec_source = http://127.0.0.1:1111/openapi.json
openapi_spec_cache = /home/user/.ocli/specs/default.json
include_endpoints = get:/messages,get:/channels
exclude_endpoints =

[myapi]
api_base_url = http://127.0.0.1:2222
api_basic_auth =
api_bearer_token = MY_TOKEN
openapi_spec_source = http://127.0.0.1:2222/openapi.json
openapi_spec_cache = /home/user/.ocli/specs/myapi.json
include_endpoints = get:/messages,get:/channels
exclude_endpoints =

The local file ./.ocli/profiles.ini, if present, fully overrides the global one when resolving profiles.

OpenAPI/Swagger caching

Config and cache directory:
- globally: ~/.ocli/
- locally: ./.ocli/ relative to the directory where ocli is executed.
Inside .ocli the CLI creates:
- profiles.ini - profile configuration (one section per profile);
- current - one line with the profile name to use when --profile is not passed (optional; if missing, profile default is used);
- specs/ - directory with cached specs:
  - specs/<profile-name>.json - OpenAPI spec content for the profile.
During onboarding:
- the CLI loads the spec from --openapi-spec;
- writes it to specs/<profile-name>.json;
- stores the cache path in openapi_spec_cache in the corresponding profile section.
When running commands:
- by default the spec is read from openapi_spec_cache;
- later we can add a flag to force spec refresh (for example --refresh-spec) that will overwrite the cache.

Mapping OpenAPI operations to CLI commands

For each OpenAPI operation (method + path) the CLI exposes one subcommand.
Command name is derived from the path:
- /messages → messages
- /channels/{username} → channels_username
If the same path segment is used by multiple methods (GET, POST, etc.), a method suffix is added:
- /messages GET → messages_get
- /messages POST → messages_post

Invocation format:

ocli [--profile <profile>] <tool-name> [options...]

where:

tool-name is the name derived from the path (with method suffix when needed);
options is the set of flags representing operation parameters:
- query and path parameters → --param-name;
- JSON body fields → also --field-name.

Option types and required flags are determined from the OpenAPI schema.

CLI commands and help

The ocli binary provides the following core commands:

ocli onboard - add a new profile named default (alias for ocli profiles add default). Options:
- --api-base-url <url> - API base URL;
- --openapi-spec <url-or-path> - OpenAPI source (URL or file path);
- --api-basic-auth <user:pass> - optional;
- --api-bearer-token <token> - optional;
- --include-endpoints <list> - comma-separated method:path;
- --exclude-endpoints <list> - comma-separated method:path;
- --command-prefix <prefix> - prefix for command names (e.g. api_ -> api_messages, api_users);
- --custom-headers <json> - custom HTTP headers as JSON string (e.g. '{"X-Tenant":"acme","X-Request-Source":"cli"}'). Legacy comma-separated key:value format is also supported for simple values without commas.
ocli profiles add <name> - add a new profile with the given name and cache the OpenAPI spec. Same options as onboard (profile name is the positional argument).
ocli profiles list - list all profiles;
ocli profiles show <profile> - show profile details;
ocli profiles remove <profile> - remove a profile;
ocli use <profile> - set the profile to use when --profile is not passed (writes profile name to .ocli/current).
ocli commands - list available commands generated from the current profile and its OpenAPI spec, optionally filter them with --query (BM25) or --regex.
ocli search - deprecated alias for ocli commands with --query/--regex, kept for backward compatibility.
ocli --version - print the CLI version baked at build time (derived from the latest git tag when available).

Help:

ocli -h|--help - global help and command overview;
ocli onboard -h|--help - onboarding help;
ocli profiles -h|--help - profile management help;
ocli <tool-name> -h|--help - description of a particular operation, list of options and their types (generated from OpenAPI).

Architecture

src/
├── cli.ts                  # Entry point, command routing, HTTP requests
├── config.ts               # .ocli directory resolution (local > global)
├── openapi-loader.ts       # OpenAPI spec download and caching
├── openapi-to-commands.ts  # OpenAPI → CLI command generation
├── command-search.ts       # BM25 + regex search over commands
├── bm25.ts                 # BM25 ranking engine (ported from picoclaw)
├── profile-store.ts        # Profile persistence in INI format
└── version.ts              # Version constant (generated at build)

The project mirrors parts of the openapi-to-mcp architecture but implements a CLI instead of an MCP server:

config - reads profile configuration and cache paths (INI files, global and local .ocli lookup).
profile-store - works with profiles.ini (read, write, select profile, current profile).
openapi-loader - loads and caches the OpenAPI spec (URL or file) into .ocli/specs/.
openapi-to-commands - parses OpenAPI, applies include/exclude filters, generates command names and option schemas.
command-search - BM25 and regex search over generated commands for discovery on large API surfaces.
bm25 - generic BM25 ranking engine with Robertson IDF smoothing and min-heap top-K extraction.
cli - entry point, argument parser, command registration, help output.

Using with AI agents

OpenClaw skill

Install the ocli-api skill from ClawHub:

clawhub install ocli-api

Or manually copy skills/ocli-api/SKILL.md to ~/.openclaw/skills/ocli-api/SKILL.md.

Claude Code skill

Copy the example skill to your project:

cp examples/skill-ocli-api.md .claude/skills/api.md

Agent workflow

ocli commands --query "upload file" — discover the right command
ocli files_content_post --help — check parameters
ocli files_content_post --file ./data.csv — execute

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