Agent-native API client for REST, GraphQL, WS, SSE and gRPC - built for MCP-capable AI agents.
git clone https://github.com/thuupx/lunge{
"mcpServers": {
"lunge": {
"command": "node",
"args": ["/path/to/lunge/dist/index.js"]
}
}
}MCP Servers overview
# lunge An **agent-native advanced API client** - execute and test REST, GraphQL, WebSocket, SSE, and (later) gRPC requests from any MCP-capable AI agent. No GUI, no manual clicking, no heavyweight desktop app. Think advanced curl, native for agents. It is a lightweight, token-efficient alternative to Postman/Bruno for the era of AI coding agents. The agent calls tools directly; there are no humans in the loop and no bloated feature surface to pay for. ## Why this exists | Pain with Postman/Bruno | lunge approach | | --- | --- | | Require human clicking in a GUI | Agent-native: everything is an MCP tool call | | Postman is heavy, enterprise features are paywalled | Small, open, single local binary + thin MCP layer | | Verbose responses blow up the LLM context window | Rust core summarizes/compresses output before it reaches the agent | | Collections are locked into proprietary formats | Plain YAML/JSON files, git-friendly | | Separate tools per protocol | One server for REST/GraphQL/WS/SSE/gRPC | ## Design pillars 1. **Agent-native** - designed for LLM tool calls, not human UIs. 2. **Token-efficient** - every response is filtered, truncated, and summarized. Full payloads are spilled to disk and referenced by handle so the context stays small. 3. **Fast & portable** - a Rust core (execution + protocols + summarization) exposed to a thin TypeScript MCP layer via [napi-rs](https://napi.rs/). 4. **Both ad-hoc and reusable** - agents can fire one-off requests *or* create, save, and re-run declarative collections stored as files. ## Documents | Doc | Contents | | --- | --- | | [architecture.md](./architecture.md) | System design, the Rust/TS split, module layout, streaming strategy, FFI boundary | | [features.md](./features.md) | Full feature list by protocol + cross-cutting features (auth, vars, assertions, token optimizer) | | [mcp-tools.md](./mcp-tools.md) | The MCP tool surface: names, inputs, outputs, examples | | [collection-format.md](./collection-format.md) | The declarative YAML/JSON test/collection format | | [roadmap.md](./roadmap.md) | Phased delivery plan from scaffolding to gRPC and CI | ## Decisions locked in - **Stack**: Rust core via napi-rs + TypeScript MCP layer (`@modelcontextprotocol/sdk`). - **Distribution**: local dev tool over stdio transport (used by Cursor/Windsurf/Claude Desktop). - **Test definition**: both ad-hoc agent calls *and* persisted declarative collections. - **MVP protocols**: REST, GraphQL, WebSocket, SSE. gRPC is a later phase.
What people ask about lunge
What is thuupx/lunge?
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thuupx/lunge is mcp servers for the Claude AI ecosystem. Agent-native API client for REST, GraphQL, WS, SSE and gRPC - built for MCP-capable AI agents. It has 1 GitHub stars and was last updated today.
How do I install lunge?
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You can install lunge by cloning the repository (https://github.com/thuupx/lunge) or following the README instructions on GitHub. ClaudeWave also provides quick install blocks on this page.
Is thuupx/lunge safe to use?
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thuupx/lunge has not been audited yet by our security agent. Review the original repository on GitHub before using it in production.
Who maintains thuupx/lunge?
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thuupx/lunge is maintained by thuupx. The last recorded GitHub activity is from today, with 0 open issues.
Are there alternatives to lunge?
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Yes. On ClaudeWave you can browse similar mcp servers at /categories/mcp, sorted by popularity or recent activity.
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