MCP token compression
PulseGate's liveness check found it on 14 Sep 2026; it is registered on GitHub and PyPI and has been in the index since 29 Jun 2026. How this is checked
gotcontext.ai is a semantic compression gateway for Model Context Protocol (MCP), reducing token usage for large language models like Claude, Codex, and Gemini. It offers an API, CLI, and self-hosted options, helping developers optimize AI tool costs and efficiency.
Inferred · not functionally tested
Overview
6 featuresPurpose: Reducing LLM token usage and costs for developers integrating multiple AI models.
Inferred · not functionally tested
Audience: developers building AI-powered tools and agents
Inferred · not functionally tested
Functions: data_extraction
Inferred · not functionally tested
Interfaces: API: indicated (inferred, not tested) · MCP: indicated (inferred, not tested) · CLI: indicated (inferred, not tested) · Self-hosting: indicated (inferred, not tested)
Recorded constraints: pricing: freemium · license: MIT · platforms: CLI, API · deployment: cli, self_hosted, api_only, cloud_managed
Constraint provenance is unknown; confirm requirements with the publisher.
Record sources: gotcontext.ai · github.com. These links do not verify the individual claims.
MCP token compression is a Frameworks & runtimes project. Inferred · not functionally tested: It focuses on reducing LLM token usage and costs for developers integrating multiple AI models. Inferred · not functionally tested: MCP token compression is a B2B product aimed at developers building AI-powered tools and agents. Basis unknown · not verified: MCP token compression follows a freemium model. Basis unknown · not verified: It ships for the command line and API, and it can be self-hosted.
MCP token compression first shipped in 2026. Inferred · not functionally tested: Key capabilities include token compression, MCP gateway, and API access. Inferred · not functionally tested: Catalogued interfaces include an MCP server and a public API.
Summary written by a language model from the project’s public pages.
Tasks: Inferred · not functionally tested
- Token compression
- MCP gateway
- API access
- CLI tool
- Self-hosted option
- Audit logs
Topics: Inferred · not functionally tested
Built with & integrations
- Next.js
- x-nextjs-prerender header · /_next/static/ in the HTML · __next_f in the HTML
- Vercel
- x-vercel-id header · x-vercel-cache header
- anthropic
- bclaude in the HTML
Trust & compliance
Indexing history
What PulseGate has recorded for this listing
Frequently asked questions about MCP token compression
- What does MCP token compression do?
- Inferred · not functionally tested: MCP token compression focuses on reducing LLM token usage and costs for developers integrating multiple AI models. It is catalogued under Frameworks & runtimes on PulseGate.
- Who is MCP token compression for?
- Inferred · not functionally tested: MCP token compression is a B2B product built for developers building AI-powered tools and agents.
- Is MCP token compression free?
- Basis unknown · not verified: Yes — there is a free tier, with paid plans for advanced use.
- What platforms does MCP token compression run on?
- Basis unknown · not verified: MCP token compression runs on the command line and API. It can also be self-hosted.
- Is MCP token compression still active?
- PulseGate's liveness check found it on 14 Sep 2026.
- What are alternatives to MCP token compression?
- Similar projects tracked by PulseGate include jCodeMunch MCP, Token Optimizer MCP, and gus-mcp.jCodeMunch MCPToken Optimizer MCPgus-mcp
- When did MCP token compression launch?
- MCP token compression first shipped in 2026.
- Is MCP token compression open source?
- Basis unknown · not verified: MCP token compression has a public GitHub repository.
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