This server does not currently have a deployable release on Glama. Follow the repository's setup instructions to install and configure it for your MCP client, including any required credentials and local dependencies.
A deliberately bloated MCP server for a context-rot demo. Its one tool,
search_handbook, returns the whole (synthetic) company handbook, about 44 KB
(roughly 15k tokens), instead of the matching paragraph. Each call answers one
question, so three questions cost three copies. Stateless, no auth,
no storage, no logging.
claude mcp add --transport http bloat https://bloat-mcp.vercel.app/mcpRelated MCP server: Halyard Knowledge Base MCP Server
Use the bloat handbook search to answer three questions: how many vacation days do full-time staff get, how soon must expense reports be filed, and how often are laptops replaced? Search once per question. Save the answers to answers.md, then read the file back and tell me what it says.The file write and read-back matter: Rius's context rot rule fires when one tool's results take 30% or more of a model call's input and hold for the next 2 calls.
Run /context before and after to watch the context window jump, then look at
the trace in your Rius console.
vercel deploy --prodLocal test: node server.js 8787, then claude mcp add --transport http bloat http://127.0.0.1:8787/mcp.
Keep each result under about 50 KB: Claude Code spills larger MCP results to a file instead of inlining them, which defeats the demo.
MIT licensed.
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Token-efficient search for coding agents over public and private documentation.
Search and read saved employee handbooks with scoped, read-only access and policy source links.
Sandbox workspace tools: search, file read, DB queries, integrations. Returns synthetic data.
SEC filings, Wikipedia, arXiv, US Census and more for AI agents, with every answer source-linked.
