"A semantic search router for dynamically discovering and routing MCP tool definitions" matching MCP servers:

Provides semantic code search over codebases using local embeddings with natural language queries. Supports hybrid search, file watching, and respects .gitignore.

Indexes codebases using semantic embeddings for natural language search, enabling developers to find code with queries like 'how does authentication work'.

Provides AI assistants with instant access to TypeScript type definitions from your project dependencies. Enables generation of complete, type-safe mocks and test data by automatically discovering and exposing interface structures from node_modules.

Enables AI coding agents to perform semantic code search locally, finding code by meaning rather than exact keywords.

Enables semantic code search over local repositories, providing tools like semantic_search and list_indexed_repos to Claude Code, so users can find relevant code sections via natural language instead of grep.

Enables AI agents to perform semantic search over codebases by converting natural language queries into efficient search patterns like grep and ripgrep. It utilizes LLMs to verify relevance and find code snippets that traditional keyword-based searches might miss.

Enables dynamic tool discovery and loading for Claude using BM25, regex, and semantic search algorithms. It supports managing a catalog of over 10,000 tools with minimal context overhead and provides a REST API for tool management.

A lazy router for Claude Code skills that exposes a library of skills through search, load, and reindex MCP tools, reducing context usage by only loading skills on demand.

Semantic navigator for MCP tools that finds relevant tools by natural language intent, reducing token usage by 95%.

Provides AI coding agents with structured access to indexed codebases via semantic search, symbol analysis, and file reading tools.

Aggregates and routes to hundreds of downstream MCP servers behind a single interface, exposing only five meta-tools and dynamically retrieving the relevant tool for an agent on demand.

Enables LLMs to perform addition calculations through a stdio-based MCP server with an add_numbers tool and type-safe validation.

Enables efficient tool routing and context budgeting for AI agents handling hundreds of MCP tools, with circuit breaker, RBAC, and federation for reliable serving.

Enables AI clients to manage multiple accounts per provider (e.g., Notion workspaces, GitHub identities) through a single MCP endpoint, with sticky account selection and context switching.

Enables multiple Claude Code sessions to share a single HTTP MCP endpoint, lazily spawning stdio MCP servers only when their tools are called, reducing idle processes and memory usage.

Aggregates multiple MCP servers behind a single local endpoint, letting LLM clients connect to one router that exposes a unified set of tools, resources, and prompts.

Enables semantic search of shell session history, matching user intents to relevant CLI commands for keyboard-first developer workflows.

A centralized gateway platform for aggregating and managing multiple Model Context Protocol (MCP) servers through a single Electron-based interface. It provides enterprise-grade security features including policy-based access control, human-in-the-loop approval workflows, and comprehensive audit logging.

Automatically selects the optimal LLM model for each task in Cursor IDE by analyzing query complexity, task type, and applying customizable routing strategies across 17 different AI models.

A unified skill management and distribution hub that aggregates local skill folders and exposes them via MCP protocol to AI platforms, featuring lazy loading and hot reloading.