headroom vs mcp-gateway
AI context compression and tool routing compared
headroom compresses context such as tool outputs and files before it reaches an LLM. mcp-gateway routes MCP servers and REST APIs through one endpoint, with tools discovered on demand. They address different needs: reducing input size versus managing access to a growing tool catalog.
headroom: Compress Context for AI Agents
Headroom compresses tool outputs, logs, files, and retrieval context before they reach an LLM, helping reduce token use while retaining important details. It offers local library, proxy, and MCP integrations for agent workflows.
mcp-gateway: Route MCP Servers and REST APIs Through One Endpoint
A Rust gateway that brings MCP servers and REST APIs behind one endpoint, with tools discovered on demand through a compact meta-tool surface. It also bridges MCP protocol revisions and adds centralized routing and policy controls.
| headroom | mcp-gateway | |
|---|---|---|
| Language | Python | Rust |
| License | Apache-2.0 | NOASSERTION |
| Stars | 74.3k | 78 |
| Forks | 5.7k | 19 |
| Last analyzed | Oct 3, 2026 | Oct 3, 2026 |
Key differences
- headroom focuses on compressing LLM inputs; mcp-gateway aggregates and routes MCP and REST tools.
- headroom offers Python and TypeScript libraries, a local proxy, and MCP integrations; mcp-gateway is a Rust single-binary gateway with multiple transport options.
- headroom targets developers and teams handling long agent sessions or repetitive outputs; mcp-gateway targets teams consolidating backends or managing large tool catalogs.
- headroom’s compression may reduce token use depending on the content; mcp-gateway’s discovery flow can add tokens and a turn to completed tasks.
- headroom is listed under the Apache-2.0 license; mcp-gateway metadata reports NOASSERTION, and its repository describes commercial use as requiring a commercial license.
- headroom reports 74.3k stars and 5.7k forks; mcp-gateway reports 78 stars and 19 forks.
Choose headroom if you…
- need to reduce repetitive logs, files, or tool results before sending them to an LLM.
- want to integrate compression through Python or TypeScript, a local proxy, or MCP.
- work with supported coding agents and want shared context or memory across them.
Choose mcp-gateway if you…
- need to consolidate MCP servers and REST APIs behind one endpoint.
- manage a large tool catalog and want clients to search for tools on demand.
- need routing controls or a bridge between supported MCP protocol revisions.
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This comparison is generated with AI from the OSRepos analyses of both projects. Always check each project's repository and documentation before choosing.