tokenomy
MCP ServerFreeSurgical Claude Code hook that transparently trims bloated MCP tool responses and clamps oversized file reads — stop burning tokens on tool chatter.
Capabilities5 decomposed
mcp tool response trimming with configurable depth limits
Medium confidenceIntercepts and surgically trims verbose MCP tool responses before they reach Claude by applying configurable depth-based filtering rules. Uses a hook-based architecture that wraps the MCP protocol layer, analyzing response payloads and selectively removing nested fields, array elements, or entire subtrees based on user-defined thresholds. This prevents token waste from bloated tool outputs without modifying the underlying tool implementations.
Implements a transparent MCP protocol hook that trims responses at the transport layer before Claude ingests them, using depth-based heuristics rather than semantic analysis. This is distinct from post-processing because it operates at the MCP boundary and prevents tokens from being counted in the first place.
More surgical than naive response truncation because it preserves response structure while selectively removing subtrees, and more transparent than modifying tool code because it works as a drop-in middleware layer.
file read size clamping with configurable byte limits
Medium confidenceAutomatically caps file read operations from MCP file-system tools to a maximum byte threshold, preventing oversized file reads from consuming excessive tokens. Intercepts file read requests before execution and either truncates the read size or returns a partial file with metadata indicating truncation. Works transparently within the MCP hook layer without requiring changes to file-reading tool implementations.
Operates at the MCP request layer to preemptively clamp file reads before they execute, rather than post-processing results. This prevents unnecessary I/O and token consumption at the source, using a configurable byte threshold that applies uniformly across all file read operations.
More efficient than post-truncation because it prevents the full file from being read from disk and transmitted; more flexible than hard-coded limits because thresholds are configurable per deployment.
transparent mcp hook middleware for request/response interception
Medium confidenceProvides a middleware layer that transparently intercepts MCP protocol messages at the request and response boundaries, enabling inspection, modification, and filtering without requiring changes to MCP client or server code. Uses a hook-based architecture that wraps the MCP transport layer, allowing multiple transformations (trimming, clamping, filtering) to be chained together in a composable pipeline.
Implements a transparent hook-based middleware pattern that operates at the MCP protocol boundary, allowing composable transformations without modifying client or server code. This is architecturally distinct from proxy-based approaches because it operates in-process and can access both request and response context simultaneously.
More transparent than proxy-based filtering because it doesn't require network routing changes; more composable than single-purpose tools because the hook layer supports chaining multiple transformations.
token consumption metrics and reporting
Medium confidenceTracks and reports token savings achieved through response trimming and file clamping operations, providing visibility into cost reduction impact. Collects metrics on original vs. trimmed response sizes, file read reductions, and estimated token savings based on Claude's token counting. Outputs metrics in structured format (JSON, CSV) for analysis and optimization feedback.
Provides first-class metrics collection integrated into the MCP hook layer, capturing before/after sizes at the protocol boundary. This enables precise measurement of token savings without requiring external instrumentation or log parsing.
More accurate than post-hoc log analysis because it measures at the interception point; more integrated than external monitoring tools because metrics are native to the middleware.
claude code integration with automatic hook injection
Medium confidenceProvides seamless integration with Claude Code environments through automatic hook injection into the MCP client initialization, requiring minimal configuration to activate tokenomy's trimming and clamping features. Detects Claude Code runtime and automatically registers the tokenomy middleware without requiring explicit code changes in user workflows.
Implements automatic hook injection into Claude Code's MCP client initialization, detecting the runtime environment and registering middleware without explicit user code. This is distinct from manual middleware registration because it requires zero code changes in the user's workflow.
More user-friendly than manual hook registration because it activates automatically; more reliable than environment-based detection because it integrates directly with Claude Code's initialization pipeline.
Capabilities are decomposed by AI analysis. Each maps to specific user intents and improves with match feedback.
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Best For
- ✓Claude Code users running MCP-based agents with expensive tool calls
- ✓Teams optimizing token budgets for long-running agentic workflows
- ✓Developers integrating third-party MCP tools with verbose response schemas
- ✓Agents working with large codebases or log files where full reads are unnecessary
- ✓Cost-conscious teams with strict token budgets per agent execution
- ✓Workflows where partial file inspection is sufficient for decision-making
- ✓MCP integrators building custom middleware layers
- ✓Teams needing observability into MCP tool interactions
Known Limitations
- ⚠Trimming rules are static and cannot adapt dynamically based on response content semantics
- ⚠No built-in intelligence to distinguish between critical and non-critical fields — relies on depth heuristics
- ⚠Requires manual configuration per MCP tool; no auto-detection of optimal trim points
- ⚠Cannot reconstruct full responses if downstream logic depends on trimmed fields
- ⚠Clamping is byte-based and may truncate in the middle of multi-byte UTF-8 characters or structured data
- ⚠No intelligent detection of file type or content boundaries — cannot skip to relevant sections
Requirements
Input / Output
UnfragileRank
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Package Details
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Surgical Claude Code hook that transparently trims bloated MCP tool responses and clamps oversized file reads — stop burning tokens on tool chatter.
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