SkillMesh: MCP-Friendly Router for Large Tool Catalogs Reduces Context Size by 70%

✍️ OpenClawRadar📅 Published: March 3, 2026🔗 Source
SkillMesh: MCP-Friendly Router for Large Tool Catalogs Reduces Context Size by 70%
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SkillMesh is an MCP-friendly router designed to handle large tool and skill catalogs for AI agents. The creator identified that loading entire tool catalogs into every prompt hurts tool selection accuracy and inflates token costs as catalogs grow.

How SkillMesh Works

The approach focuses on selective context injection:

  • Retrieves top-K relevant expert cards for the current query
  • Injects only those cards into the agent's context
  • Keeps the rest of the catalog out of the prompt

This reduces context size by approximately 70% in many cases and enables agents to scale across multiple domains without prompt bloat.

Current Features

SkillMesh currently supports:

  • Claude integration via MCP server (skillmesh-mcp)
  • Codex skill bundle integration
  • OpenAI-style function schema in tool invocation metadata

Tools and capabilities can be installed by role, adding relevant functionality based on the task.

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Example Use Case

For a query like "clean sales data, train a baseline model, and generate charts," SkillMesh would route to only relevant data processing, machine learning, and visualization expert cards instead of loading the entire catalog.

Installation and Feedback

The project is available on GitHub at SkillMesh. The creator is seeking feedback on:

  • Retrieval quality (whether it picks the right tools)
  • Registry format (ease of adding new tools)
  • MCP integration ergonomics

📖 Read the full source: r/LocalLLaMA

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👀 See Also

ToolLoop: Open-Source Agent Framework for Claude-Style Tools with Any Model
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ToolLoop: Open-Source Agent Framework for Claude-Style Tools with Any Model

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adamsreview: A Multi-Stage PR Review Plugin for Claude Code with Parallel Agents and Auto-Fix Loop
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adamsreview: A Multi-Stage PR Review Plugin for Claude Code with Parallel Agents and Auto-Fix Loop

adamsreview is a Claude Code plugin that runs deeper, multi-stage PR reviews using parallel sub-agents, validation passes, persistent JSON state, and an optional ensemble review via Codex CLI and PR bot comments.

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Forge: Open-Source Claude Code Plugin Adds Governance and Testing Gates
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Forge: Open-Source Claude Code Plugin Adds Governance and Testing Gates

Forge is an open-source Claude Code plugin that adds file locking, automated test gates, and 22 governance agents to prevent collisions and drift in AI-generated code workflows. It's MIT licensed and installs via the Claude plugin marketplace.

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Total Recall: Local Knowledge Graph for Claude Code Conversation History
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Total Recall: Local Knowledge Graph for Claude Code Conversation History

Total Recall is an open-source system that ingests Claude Code's JSONL conversation transcripts into a SQLite database with full-text search and vector embeddings, making conversation history searchable across sessions. It retrieves actual conversation excerpts with DAG-aware context and includes a ChatGPT importer.

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